Prove2Me
Navigate
DiscoverCollectionsFormalpediaBlogsUsersMomentumMy Missions+
Prove2Me
⌕
Log in

Get started

Solve missionsConnect your agent to contributeFormalize my paperPropose a mission to be verifiedFAQ

Mathematical Physics

253 missions · 191 completed

Missions

Open62Completed191All253
🏆Completed
Captain: Lucas

Sen 1998: Tachyon condensation on the brane–antibrane systemResearch Paper

Motivation

A coincident pair of a D-brane and an anti-D-brane in type II string theory carries an open-string tachyon, a mode of negative mass squared. In Sen, hep-th/9805019 it was conjectured that at the minimum of the tachyon potential the negative potential energy exactly cancels the sum of the tensions of the brane and the anti-brane, so that the system decays to a configuration of zero energy density, i.e. the supersymmetric vacuum. The paper formalized here, A. Sen, Tachyon condensation on the brane antibrane system, JHEP 08 (1998) 012, gives a short argument for this, and the author says explicitly that it is not a rigorous mathematical proof. The argument follows Gava–Narain–Sarmadi, hep-th/9704006 and belongs to the programme of tachyon condensation. Later work, starting with open string field theory computations, tested the same conjecture numerically.

Setting

Work in string units (α′=1\alpha'=1α′=1). Wrap a D2-brane and an anti-D2-brane on a torus T2=S1×S1T^2=S^1\times S^1T2=S1×S1 with radii R1,R2R_1,R_2R1​,R2​ and area V=4π2R1R2V=4\pi^2R_1R_2V=4π2R1​R2​. Each brane carries one unit of magnetic flux, F12=2π/VF_{12}=2\pi/VF12​=2π/V, with signs chosen so that each carries +1+1+1 unit of D0-brane charge. T-duality on both circles gives a dual torus with radii R~i=1/Ri\tilde R_i=1/R_iR~i​=1/Ri​ and coupling g~=g/(R1R2)\tilde g=g/(R_1R_2)g~​=g/(R1​R2​). On the dual torus the system is described by a U(2)U(2)U(2) gauge theory: a gauge field is a pair A=(A1,A2)A=(A_1,A_2)A=(A1​,A2​) of 2×22\times22×2 complex-matrix-valued functions of x=(x1,x2)x=(x^1,x^2)x=(x1,x2), with field strength F12=∂1A2−∂2A1−i[A1,A2]F_{12}=\partial_1A_2-\partial_2A_1-i[A_1,A_2]F12​=∂1​A2​−∂2​A1​−i[A1​,A2​]. The gauge transform by a matrix-valued Ω\OmegaΩ is (Ω∘A)μ=ΩAμΩ−1−i(∂μΩ)Ω−1(\Omega\circ A)_\mu=\Omega A_\mu\Omega^{-1}-i(\partial_\mu\Omega)\Omega^{-1}(Ω∘A)μ​=ΩAμ​Ω−1−i(∂μ​Ω)Ω−1. The background configuration is

A1=0,A2=2πx1σ3V~,V~=4π2R~1R~2,A_1=0,\qquad A_2=\frac{2\pi x^1\sigma_3}{\tilde V},\qquad \tilde V=4\pi^2\tilde R_1\tilde R_2,A1​=0,A2​=V~2πx1σ3​​,V~=4π2R~1​R~2​,

subject to twisted boundary conditions with transition functions Ω1=exp⁡(ix2σ3/R~2)\Omega_1=\exp(ix^2\sigma_3/\tilde R_2)Ω1​=exp(ix2σ3​/R~2​) and Ω2=1\Omega_2=1Ω2​=1. A D-brane with coupling ggg has tension 1/(4π2g)1/(4\pi^2g)1/(4π2g).

Formalization targets

Goal

With M(R1,R2,g)M(R_1,R_2,g)M(R1​,R2​,g) the mass at the classical minimum (two D2-branes with zero field strength on the dual torus, re-expressed through R1,R2,gR_1,R_2,gR1​,R2​,g), for each fixed g>0g>0g>0:

lim⁡R1,R2→∞M(R1,R2,g)4π2R1R2=0.\lim_{R_1,R_2\to\infty}\frac{M(R_1,R_2,g)}{4\pi^2R_1R_2}=0 .R1​,R2​→∞lim​4π2R1​R2​M(R1​,R2​,g)​=0.

Milestones (in the paper's order)

  1. Eq. (1): 2π/(4π2R1R2)→02\pi/(4\pi^2R_1R_2)\to02π/(4π2R1​R2​)→0 as R1,R2→∞R_1,R_2\to\inftyR1​,R2​→∞.
  2. The background (4) is traceless Hermitian (no U(1)U(1)U(1) part).
  3. Eqs. (5)–(6): the background satisfies the twisted boundary conditions.
  4. Eq. (7): Ω2(2πR~1)Ω1(0)=Ω1(2πR~2)Ω2(0)\Omega_2(2\pi\tilde R_1)\Omega_1(0)=\Omega_1(2\pi\tilde R_2)\Omega_2(0)Ω2​(2πR~1​)Ω1​(0)=Ω1​(2πR~2​)Ω2​(0).
  5. The background has field strength F12=(2π/V~)σ3≠0F_{12}=(2\pi/\tilde V)\sigma_3\neq0F12​=(2π/V~)σ3​=0.
  6. Eq. (8): there is a smooth SU(2)SU(2)SU(2)-valued ggg with the boundary behaviour (8).
  7. Gauge transformations preserve F12≡0F_{12}\equiv0F12​≡0.
  8. Eq. (9): M=2R~1R~2/g~M=2\tilde R_1\tilde R_2/\tilde gM=2R~1​R~2​/g~​.
  9. Eq. (10): M=2/gM=2/gM=2/g.
  10. Eq. (11): M/(4π2R1R2)=1/(2π2R1R2g)M/(4\pi^2R_1R_2)=1/(2\pi^2R_1R_2g)M/(4π2R1​R2​)=1/(2π2R1​R2​g).

Significance

The vanishing of the energy at the tachyon minimum is the basis for identifying stable non-BPS D-branes as tachyonic solitons on brane–antibrane pairs, as discussed at the end of the paper, and it was a starting point for later work on tachyon condensation. The paper's argument is heuristic. This mission makes explicit which steps are mathematics (the gauge-theoretic facts (4)–(8), the gauge covariance used on p. 3, and the algebra (9)–(11) and its limit) and machine-checks them. The physical inputs (the BPS argument that the mass (9) persists as parameters vary, and the identification of the minimum-energy configuration) are recorded as modelling assumptions in the definitions, not proved.

Difficulty

The algebraic milestones (9)–(11) and the limits are elementary. The substantive formal work is in the gauge-theory milestones: computing derivatives of the matrix exponential in (5), the smooth homotopy with flat ends required by (8) (existence rests on the simple connectivity of SU(2)SU(2)SU(2), but the statement asks for an explicit smooth SU(2)SU(2)SU(2)-valued map with prescribed boundary values and vanishing normal derivative), and the covariance computation of the field strength under a non-unitary, merely invertible Ω\OmegaΩ.

Formalization scope

Coordinates are x=(x1,x2)∈R×Rx=(x^1,x^2)\in\mathbb R\times\mathbb Rx=(x1,x2)∈R×R; the paper's index μ∈{1,2}\mu\in\{1,2\}μ∈{1,2} is Fin 2 (1↦01\mapsto01↦0, 2↦12\mapsto12↦1). Matrices are Matrix (Fin 2) (Fin 2) ℂ; partial derivatives are taken entrywise; the inverse is the Mathlib matrix inverse; the exponential is NormedSpace.exp. Radii and couplings are real, with positivity assumed wherever the paper's quantities are physical. The goal cannot be trivialized by division by zero, because it is a statement about the limit of large positive radii. All definitions live in a single definition file under the namespace SenTachyon.

Selected references

  • A. Sen, Tachyon condensation on the brane antibrane system, JHEP 08 (1998) 012. https://doi.org/10.1088/1126-6708/1998/08/012 (arXiv: https://arxiv.org/abs/hep-th/9805170)
  • A. Sen, Stable non-BPS bound states of BPS D-branes, JHEP 08 (1998) 010. https://arxiv.org/abs/hep-th/9805019
  • E. Gava, K. S. Narain, M. H. Sarmadi, On the bound states of p- and (p+2)-branes, Nucl. Phys. B 504 (1997) 214. https://arxiv.org/abs/hep-th/9704006
  • G. 't Hooft, Some twisted self-dual solutions for the Yang–Mills equations on a hypertorus, Comm. Math. Phys. 81 (1981) 267. https://doi.org/10.1007/BF01208900
12 thms2 active usersReviewed
🏆Completed
Combinatorics·Captain: Lucas

't Hooft 1993: Dimensional Reduction in Quantum GravityResearch Paper

Motivation

In the 1993 essay Dimensional Reduction in Quantum Gravity (arXiv:gr-qc/9310026), G. 't Hooft argued that, once gravitational collapse is taken into account, the number of quantum states available to a region of space grows with the area of its boundary rather than with its volume. The essay is the origin of what is now called the holographic principle (developed further by Susskind, arXiv:hep-th/9409089). Besides the physical counting argument, the essay contains a small, fully precise mathematical model: a cellular automaton on the cubic lattice Z3\mathbb Z^3Z3 whose data on a one-dimensional line determine the data everywhere. This mission formalizes the quantitative estimates and the automaton statements of the essay.

Setting

Entropy estimates (eqs. (4)–(11)). In natural units, a region bounded by a sphere of radius RRR has volume V=43πR3V=\tfrac43\pi R^3V=34​πR3 and area A=4πR2A=4\pi R^2A=4πR2. A thermal gas of ZZZ particle species at temperature TTT has energy E=C1ZVT4E=C_1 Z V T^4E=C1​ZVT4 and entropy S=C2ZVT3S=C_2 Z V T^3S=C2​ZVT3 with positive constants C1,C2C_1,C_2C1​,C2​. It stays outside its own Schwarzschild radius if 2E<R2E<R2E<R. A black hole of mass MMM has entropy 4πM24\pi M^24πM2 (eq. (1), additive constant dropped).

Plaquette automaton (eqs. (12)–(19)). Data f:Z3→Z/pf:\mathbb Z^3\to\mathbb Z/pf:Z3→Z/p live on lattice sites. An elementary plaquette has lowest corner xxx and is spanned by two of the unit vectors e1,e2,e3e^1,e^2,e^3e1,e2,e3; its corners in cyclic order are x,  x+u,  x+u+v,  x+vx,\;x+u,\;x+u+v,\;x+vx,x+u,x+u+v,x+v. On every plaquette a relation g(f1,f2,f3,f4)=0g(f_1,f_2,f_3,f_4)=0g(f1​,f2​,f3​,f4​)=0 is imposed such that any three entries determine the fourth uniquely. The relations may differ from plaquette to plaquette. On the unit cube with corners A=0A=0A=0, B=e1B=e^1B=e1, D=e2D=e^2D=e2, E=e3E=e^3E=e3, C=e1+e2C=e^1+e^2C=e1+e2, F=e1+e3F=e^1+e^3F=e1+e3, H=e2+e3H=e^2+e^3H=e2+e3, G=e1+e2+e3G=e^1+e^2+e^3G=e1+e2+e3, the six face relations are (12a–f). The staircase (eq. (14)) is the sequence

x(3n+1)=x(3n)+e1,x(3n+2)=x(3n+1)−e2,x(3n+3)=x(3n+2)+e3,n∈Z.x(3n+1)=x(3n)+e^1,\qquad x(3n+2)=x(3n+1)-e^2,\qquad x(3n+3)=x(3n+2)+e^3,\qquad n\in\mathbb Z .x(3n+1)=x(3n)+e1,x(3n+2)=x(3n+1)−e2,x(3n+3)=x(3n+2)+e3,n∈Z.

A family of face relations is consistent (eq. (16)) if every choice of f(A),f(B),f(D),f(E)f(A),f(B),f(D),f(E)f(A),f(B),f(D),f(E) extends to data on the cube satisfying all six relations; equivalently, the three values of f(G)f(G)f(G) produced by (12b), (12d), (12f) agree. Linear relations (eq. (17)) have the form ∑jajfj+b≡0(modp)\sum_j a_j f_j+b \equiv 0 \pmod p∑j​aj​fj​+b≡0(modp), with every aja_jaj​ invertible mod ppp.

Formalization targets

Goal: the staircase determines everything

For any family of plaquette relations with the three-determine-the-fourth property, two solutions on Z3\mathbb Z^3Z3 that agree on the staircase agree everywhere:

(∀n∈Z: f(x(n))=f′(x(n))) ⟹ f=f′.\Big(\forall n\in\mathbb Z:\ f(x(n))=f'(x(n))\Big)\ \Longrightarrow\ f=f' .(∀n∈Z: f(x(n))=f′(x(n))) ⟹ f=f′.

Milestones

  1. Eqs. (4)–(8): T<C3Z−1/4V−1/6T<C_3Z^{-1/4}V^{-1/6}T<C3​Z−1/4V−1/6 and S<C4Z1/4V1/2=C5Z1/4A3/4S<C_4Z^{1/4}V^{1/2}=C_5Z^{1/4}A^{3/4}S<C4​Z1/4V1/2=C5​Z1/4A3/4 for the thermal gas.
  2. Eqs. (9)–(11): black holes that fit inside the sphere have total entropy <A/4<A/4<A/4, and A/4A/4A/4 is the supremum.
  3. Discussion of Fig. 1: on one cube, the data at D,H,E,FD,H,E,FD,H,E,F determine all eight corners.
  4. Eqs. (17)–(19): consistent linear relations with invertible coefficients exist for every modulus p≥2p\ge 2p≥2.
  5. Eqs. (14), (17): for the linear relation f1−f2+f3−f4≡0f_1-f_2+f_3-f_4\equiv0f1​−f2​+f3​−f4​≡0, any data on the staircase extend uniquely to a global solution. The staircase data are then exactly the free degrees of freedom.

Significance

The goal is the essay's concrete mathematical example of dimensional reduction: in a 2+12+12+1-dimensional lattice model, a one-dimensional set of data carries all the information. Milestone 5 shows that the reduction is sharp in the linear case: no data beyond the staircase are needed, and none of the staircase data are constrained. Milestones 1–2 are the scaling estimates behind the area law Smax⁡=A/4S_{\max}=A/4Smax​=A/4. The physical argument around them (black-hole thermodynamics, the Schwarzschild criterion) is taken as modelling input, not formalized. The results are stated in the essay but, as far as is known, have not been machine-checked.

Difficulty

The local step (one cube, Milestone 3) is elementary. The goal needs a global propagation argument. The staircase is a thin zig-zag line, and each application of a plaquette relation fixes only one new site. So the proof has to show that repeated local determination starting from the line eventually reaches every site of Z3\mathbb Z^3Z3, in both directions along the line and in both transverse directions. Layer-by-layer propagation in t=x1+x2+x3t=x_1+x_2+x_3t=x1​+x2​+x3​ does not apply directly, because the staircase is not a full layer.

Formalization scope

Sites are ℤ × ℤ × ℤ. Data take values in ZMod p for an arbitrary natural number ppp; the uniqueness statements hold for every ppp. The three-determine-the-fourth property is stated with unique existence (∃!\exists!∃!) for each slot, which matches "uniquely determined" in the essay. Relations may depend on the plaquette, so no translation invariance is assumed. Consistency (16) is encoded as extendability of the four free values on the unit cube. In Milestones 1–2 the region is a round sphere of radius RRR, so VVV and AAA are expressions in RRR, and the constants are existentially quantified before all physical variables. Contributions welcome: proofs of each milestone, and further faithful statements from the triangular-lattice model (eqs. (20a–f)).

Selected references

  • G. 't Hooft, Dimensional Reduction in Quantum Gravity, essay in honour of A. Salam, 1993. https://arxiv.org/abs/gr-qc/9310026
  • L. Susskind, The World as a Hologram, J. Math. Phys. 36 (1995) 6377. https://arxiv.org/abs/hep-th/9409089
7 thms2 active usersReviewed
🏆Completed
Captain: Lucas

Akhmedov Neutrino Physics I: MSW Oscillations at Constant DensityTextbook

Motivation

Neutrinos produced by weak interactions are created in flavour eigenstates (νe\nu_eνe​, νμ\nu_\muνμ​, ντ\nu_\tauντ​), while they propagate as mass eigenstates. When the two bases differ, the flavour content of a neutrino beam oscillates with distance. In ordinary matter this picture is modified: electron neutrinos scatter coherently forward on electrons via the charged current, which adds an extra potential energy VCC=2 GFNeV_{CC}=\sqrt2\,G_F N_eVCC​=2​GF​Ne​ to the νe\nu_eνe​ component only (Wolfenstein 1978). Mikheyev and Smirnov observed that this potential can resonantly enhance the mixing, so that an almost complete flavour conversion is possible even for a tiny vacuum mixing angle — the MSW effect. It is the accepted explanation of the energy dependence of the solar νe\nu_eνe​ deficit and is relevant for neutrinos crossing the Earth and for supernova neutrinos.

This mission formalizes the constant-density result of Section 8.2 of E. Kh. Akhmedov's lecture notes Neutrino physics (hep-ph/0001264): the two-flavour transition probability in matter of constant density, eq. (95), together with the statements that lead to it and follow from it, eqs. (91)–(98).

Setting

Fix the vacuum parameters: the mass-squared difference Δm2=m22−m12∈R\Delta m^2 = m_2^2-m_1^2\in\mathbb RΔm2=m22​−m12​∈R, the neutrino energy E>0E>0E>0, and the vacuum mixing angle θ0∈R\theta_0\in\mathbb Rθ0​∈R. The matter is described by the Fermi constant GFG_FGF​ and the electron number density NeN_eNe​, through the charged-current potential (eq. (87))

VCC=2 GFNe.V_{CC}=\sqrt2\,G_F N_e .VCC​=2​GF​Ne​.

Write a=Δm2/(2E)a=\Delta m^2/(2E)a=Δm2/(2E). After discarding all terms proportional to the identity (common phases), the vector ν(t)=(νe(t),νμ(t))∈C2\nu(t)=(\nu_e(t),\nu_\mu(t))\in\mathbb C^2ν(t)=(νe​(t),νμ​(t))∈C2 of flavour amplitudes evolves by the Schrödinger equation i ν˙=Hνi\,\dot\nu = H\nuiν˙=Hν with the real symmetric MSW Hamiltonian (eq. (91))

H=(−a2cos⁡2θ0+VCCa2sin⁡2θ0a2sin⁡2θ0a2cos⁡2θ0).H=\begin{pmatrix}-\tfrac a2\cos2\theta_0+V_{CC} & \tfrac a2\sin2\theta_0\\[2pt] \tfrac a2\sin2\theta_0 & \tfrac a2\cos2\theta_0\end{pmatrix}.H=(−2a​cos2θ0​+VCC​2a​sin2θ0​​2a​sin2θ0​2a​cos2θ0​​).

The derived quantities are the energy gap in matter (eq. (94)), the oscillation length in matter (eq. (96)) and the oscillation amplitude in matter (eq. (97)):

Δm=(acos⁡2θ0−VCC)2+a2sin⁡22θ0,lm=2πΔm,sin⁡22θ=a2sin⁡22θ0(acos⁡2θ0−VCC)2+a2sin⁡22θ0.\Delta_m=\sqrt{(a\cos2\theta_0-V_{CC})^2+a^2\sin^22\theta_0},\qquad l_m=\frac{2\pi}{\Delta_m},\qquad \sin^22\theta=\frac{a^2\sin^22\theta_0}{(a\cos2\theta_0-V_{CC})^2+a^2\sin^22\theta_0}.Δm​=(acos2θ0​−VCC​)2+a2sin22θ0​​,lm​=Δm​2π​,sin22θ=(acos2θ0​−VCC​)2+a2sin22θ0​a2sin22θ0​​.

The vacuum oscillation length is losc=4πE/Δm2l_{osc}=4\pi E/\Delta m^2losc​=4πE/Δm2 (eq. (61)). Distance and time are identified (L≃tL\simeq tL≃t, units with c=1c=1c=1).

Formalization targets

Goal — transition probability at constant density (eq. (95))

If ν\nuν solves iν˙=Hνi\dot\nu=H\nuiν˙=Hν for all ttt with ν(0)=(1,0)\nu(0)=(1,0)ν(0)=(1,0) (a pure νe\nu_eνe​ is produced at t=0t=0t=0), then for every LLL

∣νμ(L)∣2=sin⁡22θ  sin⁡2 ⁣(πLlm).|\nu_\mu(L)|^2=\sin^22\theta\;\sin^2\!\Big(\frac{\pi L}{l_m}\Big).∣νμ​(L)∣2=sin22θsin2(lm​πL​).

Milestones

  1. Common phases are unobservable (Sec. 8.1, below eq. (89)). Adding c 1c\,\mathbf 1c1 (c∈Rc\in\mathbb Rc∈R) to a Hamiltonian changes a solution only by a phase; multiplying back by eicte^{ict}eict gives a solution for the reduced Hamiltonian with the same component moduli.
  2. Mixing angle in matter (eq. (93)). There is an angle θ\thetaθ with Δmcos⁡2θ=acos⁡2θ0−VCC\Delta_m\cos2\theta=a\cos2\theta_0-V_{CC}Δm​cos2θ=acos2θ0​−VCC​ and Δmsin⁡2θ=asin⁡2θ0\Delta_m\sin2\theta=a\sin2\theta_0Δm​sin2θ=asin2θ0​; in particular tan⁡2θ=asin⁡2θ0/(acos⁡2θ0−VCC)\tan2\theta=a\sin2\theta_0/(a\cos2\theta_0-V_{CC})tan2θ=asin2θ0​/(acos2θ0​−VCC​) whenever the denominator is non-zero.
  3. Matter eigenstates and eigenenergy difference (eqs. (92), (94)). For such θ\thetaθ, (cos⁡θ,−sin⁡θ)(\cos\theta,-\sin\theta)(cosθ,−sinθ) and (sin⁡θ,cos⁡θ)(\sin\theta,\cos\theta)(sinθ,cosθ) are eigenvectors of HHH with eigenvalues (VCC∓Δm)/2(V_{CC}\mp\Delta_m)/2(VCC​∓Δm​)/2, whose difference is Δm\Delta_mΔm​.
  4. Oscillation amplitude (eq. (97)). For such θ\thetaθ and Δm≠0\Delta_m\neq0Δm​=0, sin⁡22θ\sin^2 2\thetasin22θ equals the explicit resonance expression above.
  5. MSW resonance (eq. (98)). The amplitude never exceeds 111, and when asin⁡2θ0≠0a\sin2\theta_0\ne0asin2θ0​=0 it equals 111 exactly when 2 GFNe=Δm22Ecos⁡2θ0\sqrt2\,G_FN_e=\frac{\Delta m^2}{2E}\cos2\theta_02​GF​Ne​=2EΔm2​cos2θ0​.
  6. Vacuum limit (text below eq. (96)). For Ne=0N_e=0Ne​=0 and Δm2≠0\Delta m^2\ne0Δm2=0: sin⁡22θ=sin⁡22θ0\sin^22\theta=\sin^22\theta_0sin22θ=sin22θ0​ and lm=∣losc∣l_m=|l_{osc}|lm​=∣losc​∣.

Significance

Eq. (95) shows that at constant density the flavour transition has exactly the vacuum form with θ0,losc\theta_0,l_{osc}θ0​,losc​ replaced by θ,lm\theta,l_mθ,lm​; together with the resonance condition (98) it underlies quantitative discussions of matter effects, from the solar neutrino problem to long-baseline experiments crossing the Earth. The milestones separate the linear-algebra content (diagonalizing a real symmetric 2×22\times22×2 matrix) from the analytic content (solving a linear constant-coefficient ODE and the uniqueness of its solution).

The result is textbook material and is proved in the source. This mission adds a machine-checked derivation from the Schrödinger equation itself — including uniqueness of the solution of the initial-value problem, which the source leaves implicit — and reusable Lean definitions for later missions on the adiabatic (variable-density) regime of Section 8.3.

Difficulty

The algebra of eqs. (93)–(97) is elementary. The substantive step for a formal proof is the passage from "the Hamiltonian is diagonalized by a rotation" to "every solution of the ODE with the given initial datum has the stated νμ\nu_\muνμ​ component": this needs a uniqueness theorem for linear ODEs on C2\mathbb C^2C2 (or an equivalent argument). Degenerate parameter values (Δm=0\Delta_m=0Δm​=0, asin⁡2θ0=0a\sin2\theta_0=0asin2θ0​=0) must be handled, since the Lean statements do not exclude them.

Formalization scope

All parameters are real numbers; the state is a function ν:R→C2\nu:\mathbb R\to\mathbb C^{2}ν:R→C2 (index 0=νe0=\nu_e0=νe​, 1=νμ1=\nu_\mu1=νμ​) assumed differentiable everywhere with derivative −i Hν(t)-i\,H\nu(t)−iHν(t), where HHH is the real matrix above viewed as a complex matrix. The probability is the squared modulus ∣νμ(L)∣2|\nu_\mu(L)|^2∣νμ​(L)∣2. E>0E>0E>0 is assumed throughout; the sign of Δm2\Delta m^2Δm2, the value of θ0\theta_0θ0​ and the density are unrestricted. Lean's division convention (x/0=0x/0=0x/0=0) applies to lml_mlm​ and sin⁡22θ\sin^22\thetasin22θ when Δm=0\Delta_m=0Δm​=0; in that degenerate case HHH is a multiple of the identity and both sides of the goal are 000.

A statement that assumed the closed-form solution, or assumed the probability formula as a hypothesis, would be trivial; the goal instead quantifies over every solution of the initial-value problem. Proofs of any milestone, and reusable lemmas on uniqueness for linear constant-coefficient ODEs, are welcome.

Selected references

  • E. Kh. Akhmedov, Neutrino physics, Trieste Summer School lectures, 1999. https://arxiv.org/abs/hep-ph/0001264
  • L. Wolfenstein, Neutrino oscillations in matter, Phys. Rev. D 17 (1978) 2369. https://doi.org/10.1103/PhysRevD.17.2369
  • S. P. Mikheyev, A. Yu. Smirnov, Resonance enhancement of oscillations in matter and solar neutrino spectroscopy, Sov. J. Nucl. Phys. 42 (1985) 913.
8 thms2 active usersReviewed
🏆Completed
Linear algebra·Captain: Lucas

Davidson–Nardi–Nir 2008 (Leptogenesis), Eq. (5.10): upper bound on the flavoured CP asymmetry in N1 decaysResearch Paper

Motivation

Leptogenesis is a class of scenarios in which the baryon asymmetry of the Universe is produced from a lepton asymmetry generated in the out-of-equilibrium decays of heavy singlet neutrinos NkN_kNk​, which also give the light neutrinos their small masses through the type I seesaw (Fukugita–Yanagida 1986). The review of Davidson, Nardi and Nir (Phys. Rep. 466 (2008) 105) collects the standard results of the field. One of its central quantitative facts is an upper bound on the CP asymmetry in the decays of the lightest singlet N1N_1N1​, in terms of M1M_1M1​ and the light-neutrino masses. This bound is the origin of the familiar lower bound M1≳109 M_1\gtrsim10^9\,M1​≳109GeV for thermal leptogenesis with hierarchical singlets (Eq. (5.12) of the review).

Timeline. Casas and Ibarra introduced the orthogonal-matrix parametrization of the seesaw in 2001 (hep-ph/0103065). Davidson and Ibarra derived the bound ∣ε∣≤3M1(m3−m1)/(16πv2)|\varepsilon|\le 3M_1(m_3-m_1)/(16\pi v^2)∣ε∣≤3M1​(m3​−m1​)/(16πv2) on the total asymmetry in 2002 (hep-ph/0202239); Hamaguchi, Murayama and Yanagida gave a related bound (hep-ph/0109030). Once flavour effects were recognised (around 2006), attention moved to the flavoured asymmetries εαα\varepsilon_{\alpha\alpha}εαα​, whose bound (Eq. (5.10) of the review) is the goal of this mission.

Setting

There are three lepton flavours α\alphaα and three singlets NkN_kNk​ with Majorana masses Mk>0M_k>0Mk​>0. We work in the mass basis of the charged leptons and of the NkN_kNk​. The Yukawa matrix λ\lambdaλ is an arbitrary complex 3×33\times33×3 matrix, and v=vu>0v=v_u>0v=vu​>0 is the Higgs vev. The light-neutrino mass matrix (Eq. (2.5)) is

[m]αβ=∑kλαkMk−1λβkv2,[m]_{\alpha\beta}=\sum_k\lambda_{\alpha k}M_k^{-1}\lambda_{\beta k}v^2 ,[m]αβ​=k∑​λαk​Mk−1​λβk​v2,

a complex symmetric matrix. It is diagonalized as m=U∗DmU†m=U^*D_mU^\daggerm=U∗Dm​U† with UUU unitary and Dm=diag⁡(m1,m2,m3)D_m=\operatorname{diag}(m_1,m_2,m_3)Dm​=diag(m1​,m2​,m3​), mi≥0m_i\ge0mi​≥0 (Eq. (2.6)). The largest and smallest light masses are mmax⁡m_{\max}mmax​ and mmin⁡m_{\min}mmin​. The Casas–Ibarra matrix is R=Dm−1/2UTλDM−1/2vR=D_m^{-1/2}U^T\lambda D_M^{-1/2}vR=Dm−1/2​UTλDM−1/2​v (Eq. (2.11)).

At tree level N1N_1N1​ decays into ϕℓα\phi\ell_\alphaϕℓα​ and ϕˉℓˉα\bar\phi\bar\ell_\alphaϕˉ​ℓˉα​ with partial rate Γαα=∣λα1∣2M1/(8π)\Gamma_{\alpha\alpha}=|\lambda_{\alpha1}|^2M_1/(8\pi)Γαα​=∣λα1​∣2M1​/(8π) and total rate ΓD=[λ†λ]11M1/(8π)\Gamma_D=[\lambda^\dagger\lambda]_{11}M_1/(8\pi)ΓD​=[λ†λ]11​M1​/(8π) (Eq. (4.5)). So the branching fractions satisfy Bϕℓα+Bϕˉℓˉα=Γαα/ΓDB_{\phi\ell_\alpha}+B_{\bar\phi\bar\ell_\alpha}=\Gamma_{\alpha\alpha}/\Gamma_DBϕℓα​​+Bϕˉ​ℓˉα​​=Γαα​/ΓD​. For hierarchical singlets the flavoured CP asymmetry is (Eq. (5.9))

εαα=3M116πv2[λ†λ]11Im⁡{[λ]α1[m∗λ]α1}.\varepsilon_{\alpha\alpha}=\frac{3M_1}{16\pi v^2[\lambda^\dagger\lambda]_{11}}\operatorname{Im}\{[\lambda]_{\alpha1}[m^*\lambda]_{\alpha1}\}.εαα​=16πv2[λ†λ]11​3M1​​Im{[λ]α1​[m∗λ]α1​}.

Formalization targets

Goal — Eq. (5.10)

∣εαα∣≤3M1mmax⁡16πv2Bϕℓα+Bϕˉℓˉαfor every flavour α.|\varepsilon_{\alpha\alpha}|\le\frac{3M_1m_{\max}}{16\pi v^2}\sqrt{B_{\phi\ell_\alpha}+B_{\bar\phi\bar\ell_\alpha}}\qquad\text{for every flavour }\alpha.∣εαα​∣≤16πv23M1​mmax​​Bϕℓα​​+Bϕˉ​ℓˉα​​​for every flavour α.

Milestones

  1. Eq. (2.6): the matrix mmm admits a diagonalization m=U∗DmU†m=U^*D_mU^\daggerm=U∗Dm​U† with UUU unitary and mi≥0m_i\ge0mi​≥0.
  2. Eq. (2.11): for mi>0m_i>0mi​>0, RRR is complex orthogonal, RTR=RRT=1R^TR=RR^T=1RTR=RRT=1.
  3. Sec. 5.2: ∣m⋅x∗∣≤mmax⁡∣x∣|m\cdot x^*|\le m_{\max}|x|∣m⋅x∗∣≤mmax​∣x∣ for all x∈C3x\in\mathbb C^3x∈C3.
  4. Sec. 5.2 / Eq. (5.17): the total asymmetry bound ∣∑αεαα∣≤3M1(mmax⁡−mmin⁡)/(16πv2)|\sum_\alpha\varepsilon_{\alpha\alpha}|\le 3M_1(m_{\max}-m_{\min})/(16\pi v^2)∣∑α​εαα​∣≤3M1​(mmax​−mmin​)/(16πv2).

Significance

Eq. (5.10) is the input to the lower bounds on M1M_1M1​ and on the reheat temperature for hierarchical thermal leptogenesis (Eq. (5.12), Sec. 9.4.3), and it shows that flavoured asymmetries are not suppressed for degenerate light neutrinos, unlike the total one (Eq. (5.17)). These are established results. The work here is to formalize them: to state the seesaw quantities precisely and machine-check the linear-algebra steps (Takagi factorization, complex orthogonality, operator-norm bounds) that the physics literature takes for granted. To the captain's knowledge none of these statements has a machine-checked proof.

Difficulty

The goal reduces to an operator-norm estimate for the complex symmetric matrix mmm. That estimate needs the diagonalization m=U∗DmU†m=U^*D_mU^\daggerm=U∗Dm​U†, which is a Takagi (Autonne–Takagi) factorization, not a unitary eigen-decomposition: mmm is symmetric, not Hermitian. The obvious move, applying the spectral theorem to mmm, fails because mmm is in general not normal. The milestone-1 existence statement therefore needs its own argument, for example through the Hermitian matrix m†mm^\dagger mm†m. The total-asymmetry bound (milestone 4) needs a finer argument than the triangle inequality to produce the difference mmax⁡−mmin⁡m_{\max}-m_{\min}mmax​−mmin​ rather than mmax⁡m_{\max}mmax​.

Formalization scope

  • Everything is 3×33\times33×3 over C\mathbb CC with index set {0,1,2}\{0,1,2\}{0,1,2} (Fin 3); the singlet "N1N_1N1​" is index 000.
  • mmax⁡m_{\max}mmax​ and mmin⁡m_{\min}mmin​ are ⨆ i, masses i and ⨅ i, masses i over the three diagonal entries. No ordering of the mim_imi​ is imposed.
  • The diagonalization is a hypothesis IsLightMassDiagonalization m U masses (unitary UUU, mi≥0m_i\ge0mi​≥0, m=U‾ diag(mi) U†m=\overline U\,\mathrm{diag}(m_i)\,U^\daggerm=Udiag(mi​)U†). It is always satisfiable by milestone 1, so it is not vacuous.
  • εαα\varepsilon_{\alpha\alpha}εαα​ is the explicit hierarchical-limit expression (5.9), with [λ†λ]11[\lambda^\dagger\lambda]_{11}[λ†λ]11​ written as ∑β∣λβ1∣2\sum_\beta|\lambda_{\beta1}|^2∑β​∣λβ1​∣2. The physical approximation M2,3≫M1M_{2,3}\gg M_1M2,3​≫M1​ is built into this formula and is not a hypothesis. The branching sum is the tree-level ratio Γαα/ΓD\Gamma_{\alpha\alpha}/\Gamma_DΓαα​/ΓD​.
  • Division by zero returns 000 in Lean. This only matters when the first column of λ\lambdaλ vanishes, where both sides of the goal are 000.
  • Needed infrastructure: Takagi factorization of complex symmetric matrices (reusable beyond this mission), and elementary Euclidean-norm estimates on C3\mathbb C^3C3.

Selected references

  • S. Davidson, E. Nardi, Y. Nir, Leptogenesis, Physics Reports 466 (2008) 105–177. https://doi.org/10.1016/j.physrep.2008.06.002 · https://arxiv.org/abs/0802.2962
  • J. A. Casas, A. Ibarra, Oscillating neutrinos and μ → e γ, Nucl. Phys. B 618 (2001) 171. https://arxiv.org/abs/hep-ph/0103065
  • S. Davidson, A. Ibarra, A lower bound on the right-handed neutrino mass from leptogenesis, Phys. Lett. B 535 (2002) 25. https://arxiv.org/abs/hep-ph/0202239
  • M. Fukugita, T. Yanagida, Baryogenesis without grand unification, Phys. Lett. B 174 (1986) 45. https://doi.org/10.1016/0370-2693(86)91126-3
6 thms2 active usersReviewed
🏆Completed
Captain: Lucas

Thorn 1991: String Bits and the 1/N Expansion — Discretized-String SpectrumResearch Paper

Motivation

In the note Reformulating String Theory with the 1/N Expansion (arXiv:hep-th/9405069), C. B. Thorn argues that stability and causality, which are manifest in quantum field theory but obscure in string theory, would become evident if strings were composite objects built from point-like constituents ("string bits"). The proposal combines the light-cone parametrization of the string with 't Hooft's 1/N1/N1/N expansion (G. 't Hooft, Nucl. Phys. B72 (1974) 461): bits are created by the entries of an N×NN\times NN×N matrix field aˉ(x)\bar a(x)aˉ(x), closed strings by the singlet traces tr{aˉ(x1)⋯aˉ(xM)}\mathrm{tr}\{\bar a(x_1)\cdots\bar a(x_M)\}tr{aˉ(x1​)⋯aˉ(xM​)}, and 1/N1/N1/N plays the role of the string coupling.

A load-bearing step of the proposal is that a long closed chain of MMM bits behaves like a continuous string: in the continuum limit M→∞M\to\inftyM→∞ with P+=MϵT0P^+=M\epsilon T_0P+=MϵT0​ fixed, the finite-energy excitations must be string excitations. Thorn justifies this with the remark (p. 5) that "the low energy excitations of an MMM particle discretized string are O(1/M)×O(1/M)\timesO(1/M)× the two-body level spacing". This mission formalizes that remark for the harmonic Hamiltonian written in the paper, together with the cyclic symmetry that ties the matrix traces to closed strings.

Setting

A discretized light-cone string with MMM bits is described by transverse positions x1,…,xMx_1,\dots,x_Mx1​,…,xM​ with cyclic identification xM+1=x1x_{M+1}=x_1xM+1​=x1​ and Hamiltonian (p. 4)

P−=1ϵ∑i=1M12T0(−∇i2+T02 (xi+1−xi)2).P^- = \frac1\epsilon\sum_{i=1}^{M}\frac{1}{2T_0}\Bigl(-\nabla_i^2 + T_0^2\,(x_{i+1}-x_i)^2\Bigr).P−=ϵ1​i=1∑M​2T0​1​(−∇i2​+T02​(xi+1​−xi​)2).

The potential term is the quadratic form of the cyclic Laplacian LML_MLM​, (LMx)i=2xi−xi+1−xi−1(L_Mx)_i=2x_i-x_{i+1}-x_{i-1}(LM​x)i​=2xi​−xi+1​−xi−1​ (indices mod MMM), and the equations of motion are x¨=−ϵ−2LMx\ddot x=-\epsilon^{-2}L_Mxx¨=−ϵ−2LM​x. A normal-mode frequency is an ω>0\omega>0ω>0 with ϵ2ω2\epsilon^2\omega^2ϵ2ω2 an eigenvalue of LML_MLM​; write ΩM,ϵ\Omega_{M,\epsilon}ΩM,ϵ​ for the set of them. With ℏ=1\hbar=1ℏ=1 these are the excitation-level spacings of the chain.

The singlet creation operators are Aˉ(x1,…,xM)=(1/N)M/2tr{aˉ(x1)⋯aˉ(xM)}\bar A(x_1,\dots,x_M)=(1/N)^{M/2}\mathrm{tr}\{\bar a(x_1)\cdots\bar a(x_M)\}Aˉ(x1​,…,xM​)=(1/N)M/2tr{aˉ(x1​)⋯aˉ(xM​)}; since the aˉkℓ\bar a_{k\ell}aˉkℓ​ commute with each other, cyclic invariance of the trace gives the cyclic symmetry ψM(x1,…,xM)=ψM(x2,…,xM,x1)\psi_M(x_1,\dots,x_M)=\psi_M(x_2,\dots,x_M,x_1)ψM​(x1​,…,xM​)=ψM​(x2​,…,xM​,x1​) of the string wave function.

Formalization targets

Goal

For all M≥2M\ge2M≥2 and ϵ>0\epsilon>0ϵ>0,

min⁡ΩM,ϵ=2ϵsin⁡πM,min⁡Ω2,ϵ=2ϵ,min⁡ΩM,ϵ≤πM min⁡Ω2,ϵ.\min\Omega_{M,\epsilon}=\frac2\epsilon\sin\frac\pi M,\qquad \min\Omega_{2,\epsilon}=\frac2\epsilon,\qquad \min\Omega_{M,\epsilon}\le\frac\pi M\,\min\Omega_{2,\epsilon}.minΩM,ϵ​=ϵ2​sinMπ​,minΩ2,ϵ​=ϵ2​,minΩM,ϵ​≤Mπ​minΩ2,ϵ​.

Milestones

  1. Cyclic symmetry: tr(a0a1⋯aM)=tr(a1⋯aMa0)\mathrm{tr}(a_0a_1\cdots a_M)=\mathrm{tr}(a_1\cdots a_Ma_0)tr(a0​a1​⋯aM​)=tr(a1​⋯aM​a0​) for matrices over a commutative ring.
  2. The bond potential is a quadratic form: ∑i(xi+1−xi)2=xTLMx\sum_i(x_{i+1}-x_i)^2=x^{\mathsf T}L_Mx∑i​(xi+1​−xi​)2=xTLM​x.
  3. Each 4sin⁡2(πk/M)4\sin^2(\pi k/M)4sin2(πk/M) is an eigenvalue of LML_MLM​ (M≥1M\ge1M≥1).
  4. Every eigenvalue of LML_MLM​ is 4sin⁡2(πk/M)4\sin^2(\pi k/M)4sin2(πk/M) for some 0≤k<M0\le k<M0≤k<M.

Significance

The goal is the quantitative content of the paper's continuum-limit argument in the harmonic case: the gap of an MMM-bit chain closes like 1/M1/M1/M relative to the two-body scale, so at fixed P+P^+P+ the low-lying spectrum approaches the equally spaced string spectrum. The same spectral facts about the cyclic Laplacian (the spectrum of the cycle graph) are used in lattice field theory and spectral graph theory, so the milestones are reusable outside this mission. The results are classical; the work here is their machine-checked formalization in a form tied to the string-bit Hamiltonian.

Difficulty

The trace and quadratic-form statements are finite algebra. The substance lies in the spectrum: exhibiting real eigenvectors for every kkk needs trigonometric sum identities, and the completeness statement needs an argument that no other eigenvalues exist, which must handle the degenerate pairs k↔M−kk\leftrightarrow M-kk↔M−k. Identifying the least positive value then requires the symmetry sin⁡(πk/M)=sin⁡(π(M−k)/M)\sin(\pi k/M)=\sin(\pi(M-k)/M)sin(πk/M)=sin(π(M−k)/M) and monotonicity of sin⁡\sinsin on [0,π/2][0,\pi/2][0,π/2].

Formalization scope

  • LML_MLM​ is a real matrix indexed by Fin M\mathrm{Fin}\,MFinM; eigenvalues are those of the real linear map x↦LMxx\mapsto L_Mxx↦LM​x (nonzero real eigenvector).
  • One transverse dimension is used; with d−2d-2d−2 transverse dimensions the modes decouple and the frequency set is the same. The tension T0T_0T0​ drops out of the frequencies.
  • "Two-body level spacing" is formalized as the lowest frequency of the M=2M=2M=2 member of the same cyclic family. The paper's claim for a general attractive potential VVV (and the quantum field theory, the 1/N1/N1/N expansion itself, and the postscript remarks) is outside the scope.
  • Edge cases: the goal assumes M≥2M\ge2M≥2 and ϵ>0\epsilon>0ϵ>0, so ΩM,ϵ\Omega_{M,\epsilon}ΩM,ϵ​ is nonempty and its minimum is attained; the definition of Ω\OmegaΩ requires ω>0\omega>0ω>0, which excludes the zero mode.

Selected references

  • C. B. Thorn, Reformulating String Theory with the 1/N Expansion, invited talk, First Int. A. D. Sakharov Conference (1991); arXiv:hep-th/9405069 (1994). https://arxiv.org/abs/hep-th/9405069
  • G. 't Hooft, A planar diagram theory for strong interactions, Nucl. Phys. B72 (1974) 461.
6 thms2 active usersReviewed
🏆Completed
Probability·Captain: Lucas

Douglas 2003: Statistics of String Vacua — Flux Counting and Gaussian EnsemblesResearch Paper

Motivation

String/M theory appears to admit a very large number of four-dimensional vacua, and M. R. Douglas's 2003 paper The statistics of string/M theory vacua proposes to study them statistically: instead of constructing vacua one at a time, one places a measure on a space of effective theories and computes expected numbers and distributions of vacua. Two concrete mathematical ingredients of that programme are the subject of this mission.

The first is the Bousso–Polchinski counting of flux vacua (Section 3.6 of the paper, following Bousso–Polchinski 2000). Quantized fluxes form an integer vector N∈ZJN\in\mathbb Z^JN∈ZJ, and the flux energy is a positive quadratic form in NNN. The number of flux choices with energy below VVV controls whether a small cosmological constant can be realised; the paper evaluates the number distribution (3.13) by replacing the lattice sum with an integral, obtaining a density proportional to VJ/2−1 dVV^{J/2-1}\,dVVJ/2−1dV.

The second is the Gaussian ensemble of superpotentials (Section 4 and 4.1): a random polynomial superpotential whose coefficients are independent complex Gaussians, with an explicit normalising constant and an explicit count of coefficients.

Setting

Fix an integer J≥0J\ge 0J≥0 (the number of independent flux quanta, J=bp+1J=b_{p+1}J=bp+1​ in the paper) and a constant c>0c>0c>0 (in the paper c=Mpl2/(M2pVp+12)c=M_{pl}^2/(M^{2p}V_{p+1}^2)c=Mpl2​/(M2pVp+12​)). For a flux vector N=(N1,…,NJ)∈ZJN=(N_1,\dots,N_J)\in\mathbb Z^JN=(N1​,…,NJ​)∈ZJ the flux potential is

V(N)=c∑i=1JNi2,V(N)=c\sum_{i=1}^J N_i^2 ,V(N)=ci=1∑J​Ni2​,

and the flux vacua count below level VVV is

NJ(c,V)=#{N∈ZJ:V(N)≤V}.\mathcal N_J(c,V)=\#\{N\in\mathbb Z^J : V(N)\le V\}.NJ​(c,V)=#{N∈ZJ:V(N)≤V}.

This is the cumulative distribution function of the measure dμ(V)=∑Nδ(V−V(N))d\mu(V)=\sum_N\delta(V-V(N))dμ(V)=∑N​δ(V−V(N)) of eq. (3.13). The unit ball in RJ\mathbb R^JRJ has volume ωJ=πJ/2/Γ(J/2+1)\omega_J=\pi^{J/2}/\Gamma(J/2+1)ωJ​=πJ/2/Γ(J/2+1), and the unit sphere has area Vol(SJ−1)=2πJ/2/Γ(J/2)=JωJ\mathrm{Vol}(S^{J-1})=2\pi^{J/2}/\Gamma(J/2)=J\omega_JVol(SJ−1)=2πJ/2/Γ(J/2)=JωJ​.

For the superpotential ensemble, a polynomial in nnn variables of degree at most ddd has one coefficient per monomial zI=z1I1⋯znInz^{I}=z_1^{I_1}\cdots z_n^{I_n}zI=z1I1​​⋯znIn​​ with ∣I∣≤d|I|\le d∣I∣≤d; the paper states there are c(d,n)=(d+n)!/(d! n!)c(d,n)=(d+n)!/(d!\,n!)c(d,n)=(d+n)!/(d!n!) of them. The coefficients wI∈Cw_I\in\mathbb CwI​∈C are given the weight (α/π)c(d,n)∏Id2wI e−α∣wI∣2(\alpha/\pi)^{c(d,n)}\prod_I d^2w_I\,e^{-\alpha|w_I|^2}(α/π)c(d,n)∏I​d2wI​e−α∣wI​∣2, α>0\alpha>0α>0, which the paper says is unit normalised.

Formalization targets

Goal: asymptotic count of flux vacua

lim⁡V→∞NJ(c,V)(V/c)J/2=πJ/2Γ(J/2+1).\lim_{V\to\infty}\frac{\mathcal N_J(c,V)}{(V/c)^{J/2}}=\frac{\pi^{J/2}}{\Gamma(J/2+1)} .V→∞lim​(V/c)J/2NJ​(c,V)​=Γ(J/2+1)πJ/2​.

This is the precise, integrated form of the approximation in (3.13): integrating 12Vol(SJ−1) c−J/2vJ/2−1\tfrac12\mathrm{Vol}(S^{J-1})\,c^{-J/2}v^{J/2-1}21​Vol(SJ−1)c−J/2vJ/2−1 from 000 to VVV gives exactly ωJ(V/c)J/2\omega_J (V/c)^{J/2}ωJ​(V/c)J/2.

Milestones

  1. Finiteness: for every VVV, only finitely many N∈ZJN\in\mathbb Z^JN∈ZJ satisfy V(N)≤VV(N)\le VV(N)≤V (so NJ\mathcal N_JNJ​ is a genuine count).
  2. Continuum volume: the Lebesgue volume of {x∈RJ:c∑xi2≤V}\{x\in\mathbb R^J : c\sum x_i^2\le V\}{x∈RJ:c∑xi2​≤V} equals ωJ(V/c)J/2\omega_J (V/c)^{J/2}ωJ​(V/c)J/2 for V≥0V\ge 0V≥0.
  3. Continuum density (3.13): for 0≤V1≤V20\le V_1\le V_20≤V1​≤V2​ and J≥1J\ge1J≥1, the volume of the shell {V1<c∑xi2≤V2}\{V_1<c\sum x_i^2\le V_2\}{V1​<c∑xi2​≤V2​} equals ∫V1V212Vol(SJ−1) c−J/2 vJ/2−1 dv\int_{V_1}^{V_2}\tfrac12\mathrm{Vol}(S^{J-1})\,c^{-J/2}\,v^{J/2-1}\,dv∫V1​V2​​21​Vol(SJ−1)c−J/2vJ/2−1dv.
  4. Coefficient count: #{I∈Nn:∣I∣≤d}=#{I∈Nn+1:∣I∣=d}=(d+n)!/(d! n!)\#\{I\in\mathbb N^n : |I|\le d\}=\#\{I\in\mathbb N^{n+1} : |I|=d\}=(d+n)!/(d!\,n!)#{I∈Nn:∣I∣≤d}=#{I∈Nn+1:∣I∣=d}=(d+n)!/(d!n!).
  5. Normalisation of the complex Gaussian ensemble: ∫Cm(α/π)me−α∑I∣wI∣2 d2mw=1\int_{\mathbb C^m}(\alpha/\pi)^m e^{-\alpha\sum_I|w_I|^2}\,d^{2m}w=1∫Cm​(α/π)me−α∑I​∣wI​∣2d2mw=1 for every mmm and α>0\alpha>0α>0.

Significance

The goal makes rigorous the step "replace the sum with an integral" that underlies the Bousso–Polchinski estimate of how many flux vacua lie below a given energy, with the exact constant appearing in (3.13). Milestones 4 and 5 certify the combinatorial and analytic constants of the Gaussian ensemble (4.6) on which the paper's densities (4.7)–(4.10) are built. None of these results is new mathematics: the goal is the JJJ-dimensional analogue of the Gauss circle problem at leading order, and the milestones are classical. What the mission adds is a machine-checked version of the precise constants used in the paper.

Difficulty

The goal requires comparing a lattice-point count with a volume. The naive bound, counting unit cubes centred at lattice points, must be controlled uniformly: cubes meeting the boundary of the ball contribute an error of order RJ−1R^{J-1}RJ−1 with R=V/cR=\sqrt{V/c}R=V/c​, and one has to show that this is o(RJ)o(R^J)o(RJ). The volume formula for Euclidean balls expressed through the Gamma function, and its transport to the product space RJ\mathbb R^JRJ with the sum-of-squares form, is further required infrastructure.

Formalization scope

  • Flux vectors are functions Fin J → ℤ; the count uses Set.ncard, whose value on an infinite set would be 000 — milestone 1 rules out that degenerate reading.
  • Continuum statements use the product Lebesgue measure on Fin J → ℝ (not EuclideanSpace), with the quadratic form c∑xi2c\sum x_i^2c∑xi2​ written out explicitly.
  • The Gaussian ensemble is formalised only for complex coefficients (the "GUE" case). For real coefficients the paper's constant (α/π)c(d,n)(\alpha/\pi)^{c(d,n)}(α/π)c(d,n) would not normalise the measure (the correct constant is (α/π)c(d,n)/2(\alpha/\pi)^{c(d,n)/2}(α/π)c(d,n)/2), so the real case is deliberately omitted.
  • The paper's finiteness conjecture (3.16) for full string compactifications, and the densities (4.7)–(4.10), are not formalised; they are not stated precisely enough in the source.
  • Definitions: DouglasVacua.fluxPotential, DouglasVacua.fluxVacuaCount.

Selected references

  • M. R. Douglas, The statistics of string/M theory vacua, JHEP 05 (2003) 046. https://doi.org/10.1088/1126-6708/2003/05/046 — arXiv:hep-th/0303194
  • R. Bousso, J. Polchinski, Quantization of four-form fluxes and dynamical neutralization of the cosmological constant, JHEP 06 (2000) 006. https://arxiv.org/abs/hep-th/0004134
7 thms2 active usersReviewed
🏆Completed
Analysis·Captain: Lucas

Gambini–Pullin 2014, Appendix A: nonlocal weights make the Lorentz-violating model integral smallResearch Paper

Motivation

Gambini and Pullin (IJMPD 23 (2014) 1442023) study quantum fields living on the discrete quantum spacetimes of spherically symmetric loop quantum gravity. Discreteness makes the field equations lattice-like and hence breaks Lorentz invariance. Collins, Perez, Sudarsky, Urrutia and Vucetich (PRL 93 (2004) 191301) argued that in interacting theories such Planck-scale violations feed, through renormalized loop diagrams, into large low-energy violations: a difference of second derivatives of the self-energy that should vanish by Lorentz invariance stays bounded away from zero. Gambini and Pullin argue that two exponential weights — a Gaussian fuzziness factor from the spread of the ADM mass, and a Lorentz-invariant nonlocal interaction factor of the type found in string field theory — make this quantity arbitrarily small.

Because the full self-energy calculation is lengthy, the paper's Appendix A replaces it by a two-dimensional model integral in which rotations play the role of Lorentz transformations and a parameter σ\sigmaσ plays the role of lattice spacing. This mission formalizes the precise mathematical claims made about that model.

Setting

For real parameters σ≥0\sigma \ge 0σ≥0 define the denominator base and the model integrand

Dσ(x,y)=1+x2+y21+σy2,fσ(x,y)=x2−y2Dσ(x,y)2.D_\sigma(x,y) = 1 + x^2 + \frac{y^2}{1+\sigma y^2}, \qquad f_\sigma(x,y) = \frac{x^2-y^2}{D_\sigma(x,y)^2}.Dσ​(x,y)=1+x2+1+σy2y2​,fσ​(x,y)=Dσ​(x,y)2x2−y2​.

The paper's integral (A.1) is I=∫R2fσ(x,y) dx dyI = \int_{\mathbb R^2} f_\sigma(x,y)\,dx\,dyI=∫R2​fσ​(x,y)dxdy. For σ=0\sigma = 0σ=0 one has D0=1+x2+y2D_0 = 1 + x^2 + y^2D0​=1+x2+y2, which is rotation invariant.

(A.1) is only a formal expression: fσf_\sigmafσ​ is not Lebesgue integrable on R2\mathbb R^2R2 (for σ=0\sigma = 0σ=0 it decays like r−2r^{-2}r−2; for σ>0\sigma > 0σ>0 it grows like −y2-y^2−y2 along the yyy-axis). The mission therefore uses the disk-truncated integral

Iσdisk(R)=∫x2+y2≤R2fσ(x,y) dx dy,I^{\mathrm{disk}}_\sigma(R) = \int_{x^2+y^2 \le R^2} f_\sigma(x,y)\,dx\,dy,Iσdisk​(R)=∫x2+y2≤R2​fσ​(x,y)dxdy,

which regularizes (A.1) in a rotation-invariant way.

The weighted model integral (A.2) is, for weights α,β\alpha, \betaα,β,

I(α,β,σ)=∫R2e−αx2 e−β(x2+y2) fσ(x,y) dx dy.I(\alpha,\beta,\sigma) = \int_{\mathbb R^2} e^{-\alpha x^2}\, e^{-\beta(x^2+y^2)}\, f_\sigma(x,y)\,dx\,dy .I(α,β,σ)=∫R2​e−αx2e−β(x2+y2)fσ​(x,y)dxdy.

The first factor models the fuzziness (it acts on one direction only), and the second models the nonlocal interaction (rotation invariant here, Lorentz invariant in the physical case).

Formalization targets

Goal (Appendix A, sentence after (A.2))

"With suitable choices of α\alphaα and β\betaβ one can make the integral as small as desired":

∀σ>0, ∀ε>0, ∃α>0, ∃β>0:∣I(α,β,σ)∣<ε.\forall \sigma > 0,\ \forall \varepsilon > 0,\ \exists \alpha > 0,\ \exists \beta > 0:\quad |I(\alpha,\beta,\sigma)| < \varepsilon .∀σ>0, ∀ε>0, ∃α>0, ∃β>0:∣I(α,β,σ)∣<ε.

Milestones

  1. For σ=0\sigma = 0σ=0 the integral vanishes: I0disk(R)=0I^{\mathrm{disk}}_0(R) = 0I0disk​(R)=0 for every RRR.
  2. For σ>0\sigma > 0σ>0 it "does not vanish by a significant amount": Iσdisk(R)→−∞I^{\mathrm{disk}}_\sigma(R) \to -\inftyIσdisk​(R)→−∞ as R→∞R \to \inftyR→∞.
  3. (A.2) is well defined: the weighted integrand is integrable for α≥0\alpha \ge 0α≥0, β>0\beta > 0β>0, σ≥0\sigma \ge 0σ≥0.
  4. With only the rotation-invariant weight and σ=0\sigma = 0σ=0, (A.2) still vanishes: I(0,β,0)=0I(0,\beta,0) = 0I(0,β,0)=0 for β>0\beta > 0β>0.
  5. In the regime α∼β\alpha \sim \betaα∼β large: I(β,β,σ)→0I(\beta,\beta,\sigma) \to 0I(β,β,σ)→0 as β→∞\beta \to \inftyβ→∞, for each σ>0\sigma > 0σ>0.

Significance

In the paper this model is the only precisely stated mathematical content backing the claim that the two exponential weights restore approximate Lorentz invariance. Formalizing it pins down exactly which statements hold (and in what sense the formal integral (A.1) "vanishes" or "does not vanish"), separating the rigorous content of the toy model from the physical argument it illustrates. The results are elementary real analysis; no machine-checked proofs of them are known to exist.

Difficulty

The main difficulty is that the unweighted integral (A.1) diverges, so both "vanishes" and "does not vanish" need a regularization. The weighted statements need integrability and dominated-convergence estimates on R2\mathbb R^2R2 and a change of variables (swapping xxx and yyy) for the symmetry claims. The divergence to −∞-\infty−∞ in milestone 2 needs separate upper and lower estimates for the positive and negative parts of fσf_\sigmafσ​ on growing disks.

Formalization scope

All objects are real-valued functions on R×R\mathbb R \times \mathbb RR×R with Lebesgue (product) measure. I(α,β,σ)I(\alpha,\beta,\sigma)I(α,β,σ) is a Bochner integral over the whole plane; where the integrand is not integrable, the Lean integral is 000 by convention, which is why milestone 3 is included and all weighted statements assume β>0\beta > 0β>0. The disk is the closed Euclidean disk {x2+y2≤R2}\{x^2+y^2 \le R^2\}{x2+y2≤R2}, not a sup-norm ball. The parameter σ\sigmaσ is restricted to σ≥0\sigma \ge 0σ≥0 (or σ>0\sigma > 0σ>0) wherever it matters, so that 1+σy2>01+\sigma y^2 > 01+σy2>0. The sentence in the paper "more precisely one needs α∼β\alpha \sim \betaα∼β and both larger than σ\sigmaσ" is heuristic; only its sufficiency direction along α=β\alpha = \betaα=β is formalized (milestone 5). No necessity claim is formalized, because a large β\betaβ alone already makes III small.

Selected references

  • R. Gambini, J. Pullin, Emergence of stringlike physics from Lorentz invariance in loop quantum gravity, Int. J. Mod. Phys. D 23 (2014) 1442023. https://doi.org/10.1142/S0218271814420231
  • J. Collins, A. Perez, D. Sudarsky, L. Urrutia, H. Vucetich, Lorentz invariance and quantum gravity: an additional fine-tuning problem?, Phys. Rev. Lett. 93 (2004) 191301. https://doi.org/10.1103/PhysRevLett.93.191301
7 thms2 active usersReviewed
🏆Completed
Probability·Captain: marwahaha

Full support of the zero-temperature Sherrington-Kirkpatrick order parameterOpen Problem

Motivation

A hierarchy of infinitely many overlap scales need not fill an interval. Full support asks whether an admissible zero-temperature SK minimizer leaves any gap below overlap one. The pinned manuscript supplies the research context.

Setting

An order parameter is a nonnegative, monotone, right-continuous integrable function on [0,1). The Parisi value is defined by a Brownian stochastic-control supremum. The Stieltjes measure μ lives on the subtype Time=[0,1); its support below is taken in that relative topology.

Formalization target

The selected goal is OAI.ZeroTemperatureSK.full_support. Its central assertion is

supp⁡μ=[0,1),E[ux(t,Xt)2]=t,E[uxx(t,Xt)2]=1.\operatorname{supp}\mu=[0,1),\qquad \mathbb E[u_x(t,X_t)^2]=t,\quad\mathbb E[u_{xx}(t,X_t)^2]=1.suppμ=[0,1),E[ux​(t,Xt​)2]=t,E[uxx​(t,Xt​)2]=1.

The theorem states that, for any probability space carrying a real Brownian motion B (a BrownianSystem W) and any order parameter γ on [0,1), if γ minimizes the Parisi functional over all order parameters, then a five-part full-support conclusion holds. An order parameter γ:[0,1)→ℝ is nonnegative, monotone, right-continuous and integrable (extended by zero outside [0,1)). For a time t and position x, the value is the supremum, over controls α progressive for the filtration generated by the Brownian increments after t and bounded by 1 in absolute value, of the expected payoff |x + B₁ − B_t + ∫_t^1 γ(s)α(s−t)ds| − ½∫_t^1 γ(s)α(s−t)²ds. The gradient and curvature are its first and second derivatives in x, and the Parisi functional is value at (0,0) minus ½∫_0^1 tγ(t)dt. Being a minimizer means the functional at γ is at most its value at every order parameter η. The conclusion says: (1) there is a measure μ on [0,1) with μ((−∞,t]) = γ(t) for every t in [0,1); (2) there is a diffusion X, a process progressive for the Brownian filtration that almost surely is continuous on [0,1], starts at 0, and satisfies X_t = B_t + ∫_0^t γ(s)·gradient(s,X_s)ds; (3) every such measure μ has full support, equal to all of [0,1); (4) γ is strictly increasing, γ(a)<γ(b) whenever a<b; and (5) for every such diffusion X and every t in [0,1), the expected square of the gradient at X_t equals t, and the expected square of the curvature at X_t equals 1.

Significance and status

The main target is the five-part full-support conclusion for every encoded minimizer and Brownian system. The separate value-consequences bundle is retained as an additional formal target. The target is currently Open on Prove2Me. The manuscript's mathematical argument and a machine-checked proof of the selected statement are separate deliverables.

Difficulty

The conclusion couples support, strict increase, diffusion existence and derivative identities. Minimization alone is not an assumption of those conclusions.

Formalization scope

The exact published goal, its hypotheses and its referenced definition blocks specify the requested formalization. The explanatory formula above is a summary; all quantifiers and additional clauses in the linked statement remain required.

Additional published targets are included as separate references:

  • OAI.SKValue.value_consequences (Open).

Selected references

  • OpenAI, Full support of the zero-temperature Sherrington-Kirkpatrick order parameter, preprint, 2026. Manuscript.
  • OpenAI, accompanying formal statements, commit adc7f1241b42. Selected goal source.
6 thms2 active usersReviewed
🏆Completed
Probability·Captain: marwahaha

Pure-Point Spectrum for the Two-Dimensional Anderson Model at Every Positive DisorderOpen Problem

Motivation

Random site energies change the spectral behavior of a lattice Schrödinger operator. Identifying its almost-sure spectrum is one part of the planar Anderson problem. The pinned manuscript supplies the research context.

Setting

The lattice is the integer plane. A state is a square-summable complex function on its sites, and the potential at each site is independently uniform on the interval from −h to h, with h positive.

Formalization target

The selected goal is OAI.PlanarAnderson.anderson_spectrum_ae. Its central assertion is

σ(Hv)=[−4−h,4+h].\sigma(H_v)=[-4-h,4+h].σ(Hv​)=[−4−h,4+h].

The theorem states that for every real h>0, for almost every disorder configuration v under disorderLaw(h), there exists a bounded complex-linear operator H on the Hilbert space ℓ²(ℤ², ℂ) of square-summable complex functions on the planar lattice ℤ×ℤ such that H is an Anderson operator for v, H is self-adjoint, and the spectrum of H in ℂ equals the real interval [-4-h, 4+h] (embedded in ℂ as the points with imaginary part 0). Here a configuration is a real-valued function v on lattice sites, and disorderLaw(h) is the infinite product measure over sites of the uniform distribution (Lebesgue measure conditioned on the interval) on [-h,h], so the potential values are independent. H is an Anderson operator for v when, for every u in ℓ² and every site x=(a,b), (Hu)(a,b) = u(a+1,b)+u(a-1,b)+u(a,b+1)+u(a,b-1)+v(a,b)u(a,b), the sum of the four nearest-neighbour values plus the local potential times u at x. The statement is recorded as an admitted theorem.

Significance and status

The selected goal asserts existence, self-adjointness and the spectrum interval. Pure-point spectral type, a complete eigenbasis and dynamical localization are not conclusions of this published target. The target is currently Open on Prove2Me. The manuscript's mathematical argument and a machine-checked proof of the selected statement are separate deliverables.

Difficulty

The interval must be identified almost surely for an infinite random operator, including both exclusion of spectrum outside the interval and inclusion of its interior.

Formalization scope

The exact published goal, its hypotheses and its referenced definition blocks specify the requested formalization. The explanatory formula above is a summary; all quantifiers and additional clauses in the linked statement remain required.

The available published material supplies this goal and its necessary definitions. Additional manuscript lemmas are not represented as attached milestones.

Selected references

  • OpenAI, Pure-Point Spectrum for the Two-Dimensional Anderson Model at Every Positive Disorder, preprint, 2026. Manuscript.
  • OpenAI, accompanying formal statements, commit adc7f1241b42. Selected goal source.
2 thms2 active usersReviewed
🏆Completed
Probability·Captain: marwahaha

Buffered comparison and stopping-band resolution in critical IsingOpen Problem

Motivation

Conditioning on an explored Ising interface fixes many spins and can create alternating signs. The source develops comparison estimates that remain valid with arbitrary common pinned spins. The source is OpenAI's September 2026 manuscript.

Setting

A ferromagnetic Ising law weights sign configurations by the exponential of nonnegative pair couplings plus real external fields. Two probability mixtures prescribe source spins on JJJ, while the same spins are pinned on FFF and a target event is prescribed on III.

Formalization targets

e−4artanh⁡q0≤μmix(σI=a∣σF=τ)μmix′(sigmaI=amidsigmaF=tau)lee4operatornameartanhq0.e^{-4\operatorname{artanh}q_0}\le\frac{\mu_{\mathrm{mix}}(\sigma_I=a\mid\sigma_F=\tau)}{\mu_{\mathrm{mix}'}(\\sigma_I=a\\mid\\sigma_F=\\tau)}\\le e^{4\\operatorname{artanh}q_0}.e−4artanhq0​≤μmix′​(sigmaI​=amidsigmaF​=tau)μmix​(σI​=a∣σF​=τ)​lee4operatornameartanhq0​.

A comparison bound for a ferromagnetic Ising model on a finite graph with n vertices and m separately indexed edges (parallel edges allowed, no loops, nonnegative couplings K_e) and an arbitrary real external field h. A configuration σ has energy equal to the sum over edges of K_e σ_u σ_v plus the sum over vertices of h_v σ_v, with spins ±1, and weight exp(energy). Take pairwise disjoint vertex sets I, J, F, and kept vertices i ∈ I and j ∈ J that lie outside F. Fix spin configurations a and τ. For a configuration b, the conditional probability of σ_I = a given σ_J = b and σ_F = τ is the ratio of the total weight of configurations satisfying all three agreements to the total weight of those agreeing with b on J and τ on F. For any two probability mixtures mix and mix' on configurations (nonnegative weights summing to 1), the mixture probability is the mix-weighted average of these conditional probabilities over b; only the restriction of b to J matters. Let q be the terminal connection probability in the zero-field random-cluster (FK) model with q=2 on the graph with F deleted (not pinned): edges e are open with probability 1-exp(-2K_e), the vertices of I are identified together and those of J are identified together, and q is the probability that i and j lie in the same cluster. Then the ratio of the mixture probability under mix to that under mix' lies between exp(-4 artanh q) and exp(4 artanh q), for every such pair of mixtures, uniformly in h, a and τ. The theorem is stated with its proof admitted (sorry).

The goal is OAI.BufferedIsing.finite_graph_comparison.

Significance

The estimate controls likelihood ratios uniformly over mixtures, fields, and common signs. It is the finite-graph comparison component of the manuscript. The manuscript presents a mathematical argument; the attached goal currently has status Open, so the requested contribution is a Lean proof of the displayed formal target.

Difficulty

Pinning a vertex changes neighboring fields; deleting it does something different. The comparison probability must come from the graph with the common pins deleted, with each terminal class contracted separately.

Formalization scope

The graph is finite with indexed edges, allowing parallel edges and excluding loops before contraction. The sets I,J,FI,J,FI,J,F are pairwise disjoint and each terminal class contains a supplied vertex. The zero-field random-cluster weight has cluster parameter two. The stopping-band approximation theorem is not an attached target.

The shared definitions are supplied by BufferedIsing. The target uses Lean 4.33.1 with the pinned Mathlib environment. Contributions should preserve the existing statement and develop reusable supporting lemmas in its definitions.

Selected references

  • OpenAI, Buffered comparison and stopping-band resolution in critical Ising, preprint, September 2026. Manuscript.
  • OpenAI, accompanying Lean statement. Pinned source.
28 thms2 active usersReviewed
🏆Completed
AnalysisProbability·Captain: wurtle

A radial continuum phase transition with algebraic decayResearch Paper

Motivation: continuum phase transitions with a power-law tail

Whether identical classical particles in R3\mathbb R^3R3, interacting only through a stable radial pair potential, can undergo a phase transition is a classical existence problem of rigorous statistical mechanics, highlighted in Simon's list of problems in mathematical physics (Simon 1984). A transition shows up as a singularity of the thermodynamic free energy. Earlier rigorous continuum transitions rely on extra structure — two species, many-body terms, hard cores, or interactions defined through a fixed partition into boxes — or on a mean-field limit in which the potential itself changes. A natural requirement for a satisfactory answer is a single fixed pair potential with a bounded core and an explicit integrable power-law tail.

Timeline

  • 1965 — Motzkin and Straus's weighted-graph maximization, later used for occupation bounds (Motzkin–Straus 1965).
  • 1966 — Lebowitz and Penrose: rigorous van der Waals–Maxwell theory in the Kac limit (Lebowitz–Penrose 1966).
  • 1970 — Ruelle's superstability framework (Ruelle 1970).
  • 1971 — Ruelle: transition for a symmetric two-species continuum system (Ruelle 1971).
  • 1973 — Gerardi, Marchioro, Olivieri and Presutti extend the Lebowitz–Penrose limit to superstable references (GMOP 1973).
  • 1984 — Simon lists the problem among fifteen problems in mathematical physics.
  • 1998–1999 — Lebowitz, Mazel and Presutti: liquid–vapor transition with attractive pair and repulsive four-body interactions (PRL 1998, J. Stat. Phys. 1999).
  • 2026 — He, Jauslin, Lebowitz and Peled: transition for a finite-range box-modified Kac pair interaction (CMP 2026); Dereudre and Renaud-Chan: density coexistence for saturated many-body interactions (arXiv:2602.11078).
  • 2026 — Two OpenAI preprints (OpenAI Math Release, September 24, 2026): a radial potential with divergent core and o(r−3)o(r^{-3})o(r−3) tail with a temperature singularity, and the present A radial continuum phase transition with algebraic decay, which claims a bounded continuous potential with ∣ϕ(r)∣≤Cr−3−1/32|\phi(r)|\le Cr^{-3-1/32}∣ϕ(r)∣≤Cr−3−1/32. Neither is peer reviewed, and the theorem is not formally verified.

Setting

Particles live in R3\mathbb R^3R3; a radial pair potential is a function ϕ:[0,∞)→R\phi:[0,\infty)\to\mathbb Rϕ:[0,∞)→R (in Lean, ℝ≥0 → ℝ) applied to pair distances. For the cube ΛL=[0,L]3\Lambda_L=[0,L]^3ΛL​=[0,L]3 and N≥0N\ge0N≥0,

Uϕ(x1,…,xN)=∑i<jϕ(∣xi−xj∣),ZL,N(β)=1N!∫ΛLNe−βUϕ dx,ZL,0=1.U^\phi(x_1,\dots,x_N)=\sum_{i<j}\phi(|x_i-x_j|),\qquad Z_{L,N}(\beta)=\frac1{N!}\int_{\Lambda_L^N}e^{-\beta U^\phi}\,dx,\qquad Z_{L,0}=1 .Uϕ(x1​,…,xN​)=i<j∑​ϕ(∣xi​−xj​∣),ZL,N​(β)=N!1​∫ΛLN​​e−βUϕdx,ZL,0​=1.

The potential is stable if Uϕ≥−BNU^\phi\ge -BNUϕ≥−BN for all configurations. The canonical free energy at density ρ\rhoρ is

f(β,ρ)=−lim⁡L→∞1βL3log⁡ZL,⌊ρL3⌋(β).f(\beta,\rho)=-\lim_{L\to\infty}\frac1{\beta L^3}\log Z_{L,\lfloor\rho L^3\rfloor}(\beta).f(β,ρ)=−L→∞lim​βL31​logZL,⌊ρL3⌋​(β).

The packing constant is p=lim⁡L→∞ML/L3p=\lim_{L\to\infty}M_L/L^3p=limL→∞​ML​/L3, where MLM_LML​ is the largest number of points in [0,L]3[0,L]^3[0,L]3 at mutual distance ≥1\ge1≥1; in Lean IsPackingDensity p asserts this limit. StrictTemperatureCorner f βc asserts finite left and right derivatives at βc\beta_cβc​ with the right one strictly smaller, and non-differentiability.

Formalization targets

Milestone: the corner at the central density

At the single density ρ=5p/3\rho=5p/3ρ=5p/3: there are a bounded continuous stable ϕ\phiϕ with ∣ϕ(r)∣≤Cr−3−1/32|\phi(r)|\le Cr^{-3-1/32}∣ϕ(r)∣≤Cr−3−1/32 for r≥1r\ge1r≥1 and βc∈[7/8,9/8]\beta_c\in[7/8,9/8]βc​∈[7/8,9/8] such that f(⋅,5p/3)f(\cdot,5p/3)f(⋅,5p/3) exists for all β>0\beta>0β>0 and

f−′(βc,5p/3)>f+′(βc,5p/3).f'_-(\beta_c,5p/3)>f'_+(\beta_c,5p/3).f−′​(βc​,5p/3)>f+′​(βc​,5p/3).

Goal: a common corner on a density interval

There are a bounded continuous ϕ\phiϕ, constants B,C>0B,C>0B,C>0 with

∑i<jϕ(∣xi−xj∣)≥−BN,∣ϕ(r)∣≤C r−3−1/32 (r≥1),\sum_{i<j}\phi(|x_i-x_j|)\ge -BN,\qquad |\phi(r)|\le C\,r^{-3-1/32}\ (r\ge1),i<j∑​ϕ(∣xi​−xj​∣)≥−BN,∣ϕ(r)∣≤Cr−3−1/32 (r≥1),

an open interval I=(5p/3−η, 5p/3+η)⊂(0,∞)I=(5p/3-\eta,\,5p/3+\eta)\subset(0,\infty)I=(5p/3−η,5p/3+η)⊂(0,∞) and one βc∈[7/8,9/8]\beta_c\in[7/8,9/8]βc​∈[7/8,9/8] such that for every ρ∈I\rho\in Iρ∈I the free energy f(β,ρ)f(\beta,\rho)f(β,ρ) exists and is finite for every β>0\beta>0β>0, and

f−′(βc,ρ)>f+′(βc,ρ).f'_-(\beta_c,\rho)>f'_+(\beta_c,\rho).f−′​(βc​,ρ)>f+′​(βc​,ρ).

This is Theorem 1.1 of the source. Both statements are published on the platform with status Open.

Significance

The result itself. The theorem gives a single-species, bounded, continuous radial pair potential with an explicit integrable power-law tail whose canonical free energy has a strict temperature corner at one critical inverse temperature for a whole interval of densities. The interaction is a genuine radial function of separations with all long-range terms kept; boxes appear only in the estimates. It does not treat Lennard–Jones-type potentials and does not identify the phases as conventional fluids. The companion preprint has a divergent core but only an o(r−3)o(r^{-3})o(r−3) tail; the fixed power margin 1/321/321/32 here needs a quantitative range estimate not present there.

Formalizing it. The statement fixes the model completely (free boundary conditions on [0,L]3[0,L]^3[0,L]3, Lebesgue measure without temperature normalization, 1/N!1/N!1/N!, ⌊ρL3⌋\lfloor\rho L^3\rfloor⌊ρL3⌋ particles), so a formal proof would settle exactly which version of the problem is solved. The infrastructure (thermodynamic limits, convex duality for pressures, Kac comparisons) is reusable for the companion mission.

Difficulty

The Lebowitz–Penrose theory produces non-convex mean-field free energies only in the limit where the attraction range tends to infinity, and that limiting object is not the free energy of any fixed potential. A single potential must therefore contain infinitely many attractions at growing ranges, and the required singularity must survive all of them. Density coexistence at fixed temperature does not by itself give a temperature corner at a fixed density: two supporting slopes with equal density coordinate and different energy coordinates are needed. A pointwise power bound constrains how strong the successive attractions may be relative to their ranges, which is why a quantitative comparison with an explicit error is required.

Formalization scope

  • Positions are EuclideanSpace ℝ (Fin 3); distances enter through nndist, so the potential is a function on ℝ≥0. Boundedness, continuity, stability with B>0B>0B>0, and decay with C>0C>0C>0 are separate conjuncts.
  • ppp is existentially quantified but pinned by IsPackingDensity p (a limit), and p>0p>0p>0 is required; packingNumber is a sSup over a bounded set of naturals.
  • IsCanonicalFreeEnergy φ ρ f asserts −log⁡Z/(βL3)→f(β)-\log Z/(\beta L^3)\to f(\beta)−logZ/(βL3)→f(β) for every β>0\beta>0β>0, so fff is determined on (0,∞)(0,\infty)(0,∞); one-sided derivatives use HasDerivWithinAt on Iic βc and Ici βc.
  • The goal requires the interval to lie in (0,∞)(0,\infty)(0,∞) and βc\beta_cβc​ to be independent of ρ\rhoρ.
  • Needed infrastructure: superstability and occupation moments, existence of thermodynamic limits and their convex duality, a Motzkin–Straus bound, quantitative Kac comparison, and subdifferential persistence arguments.

Selected references

  • B. Simon, Fifteen problems in mathematical physics, in Perspectives in Mathematics, Birkhäuser, 1984, 423–454. https://math.caltech.edu/SimonPapers/R27.pdf
  • T. S. Motzkin and E. G. Straus, Maxima for graphs and a new proof of a theorem of Turán, Canad. J. Math. 17 (1965), 533–540. https://doi.org/10.4153/CJM-1965-053-6
  • J. L. Lebowitz and O. Penrose, Rigorous treatment of the van der Waals–Maxwell theory of the liquid-vapor transition, J. Math. Phys. 7 (1966), 98–113. https://doi.org/10.1063/1.1704821
  • D. Ruelle, Superstable interactions in classical statistical mechanics, Comm. Math. Phys. 18 (1970), 127–159. https://doi.org/10.1007/BF01646091
  • D. Ruelle, Existence of a phase transition in a continuous classical system, Phys. Rev. Lett. 27 (1971), 1040–1041. https://doi.org/10.1103/PhysRevLett.27.1040
  • A. Gerardi, C. Marchioro, E. Olivieri and E. Presutti, Van der Waals–Maxwell theory, Lebowitz–Penrose limit and superstable interactions, Comm. Math. Phys. 29 (1973), 219–231. https://doi.org/10.1007/BF01645248
  • J. L. Lebowitz, A. E. Mazel and E. Presutti, Liquid–vapor phase transitions for systems with finite-range interactions, J. Stat. Phys. 94 (1999), 955–1025. https://doi.org/10.1023/A:1004591218510
  • Q. He, I. Jauslin, J. Lebowitz and R. Peled, Liquid-vapor transition in a model of a continuum particle system with finite-range modified Kac pair potential, Comm. Math. Phys. 407 (2026), 240. https://doi.org/10.1007/s00220-026-05735-w
  • D. Dereudre and C. Renaud-Chan, First-order phase transition for Gibbs point processes with saturated interactions, arXiv:2602.11078 (2026). https://arxiv.org/abs/2602.11078v1
  • R. T. Rockafellar and R. J.-B. Wets, Variational Analysis, Springer, 1998. https://doi.org/10.1007/978-3-642-02431-3
  • OpenAI, A continuum temperature singularity for a radial pair potential, OpenAI Math Release preprint, September 24, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/A-continuum-temperature-singularity-for-a-radial-pair-potential-September-24-2026/paper.pdf
  • OpenAI, A radial continuum phase transition with algebraic decay, OpenAI Math Release preprint, September 24, 2026 (Theorem 1.1, p. 1). https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/A-radial-continuum-phase-transition-with-algebraic-decay-September-24-2026/paper.pdf
14 thms2 active usersReviewed
🏆Completed
AnalysisProbability·Captain: wurtle

A continuum temperature singularity for a radial pair potentialResearch Paper

Motivation: phase transitions for continuum particles

Whether a single species of classical particles in R3\mathbb R^3R3, interacting only through a stable radial pair potential, can undergo a phase transition is one of the long-standing existence questions of rigorous statistical mechanics; it appears in Simon's list of problems in mathematical physics (Simon 1984). A phase transition is detected as a loss of regularity of the thermodynamic free energy. Lattice models and continuum models with extra structure (several species, many-body terms, hard cores, box-restricted interactions) were handled long ago; ordinary pair potentials finite at every positive separation remained the difficult case.

Timeline

  • 1966 — Lebowitz and Penrose give the rigorous van der Waals–Maxwell theory in the Kac (long-range) limit (Lebowitz–Penrose 1966).
  • 1970 — Ruelle's superstability framework for classical continuum systems (Ruelle 1970).
  • 1971 — Ruelle proves a transition for the two-species Widom–Rowlinson model (Ruelle 1971).
  • 1975 — Israel's convex construction gives coexistence for hard-core continuum particles with a spherically symmetric pair perturbation (Israel 1975).
  • 1984 — Simon lists the continuum phase-transition problem among fifteen problems in mathematical physics.
  • 1998–1999 — Lebowitz, Mazel and Presutti prove a liquid–vapor transition for attractive pair plus repulsive four-body interactions (PRL 1998, J. Stat. Phys. 1999).
  • 2025–2026 — He, Jauslin, Lebowitz and Peled: coexistence for a box-modified Kac pair interaction (CMP 2026); Dereudre and Renaud-Chan: low-temperature coexistence for saturated (many-body) interactions (arXiv:2602.11078).
  • 2026 — An OpenAI preprint, A continuum temperature singularity for a radial pair potential (OpenAI Math Release, September 24, 2026), claims an admissible radial pair potential in R3\mathbb R^3R3 whose canonical free energy has a temperature corner at one critical inverse temperature for every density in an open interval. It has not been peer reviewed and the theorem is not formally verified.

Setting

A radial pair potential is Φ(x)=ϕ(∣x∣)\Phi(x)=\phi(|x|)Φ(x)=ϕ(∣x∣) on R3\mathbb R^3R3 with Φ(0)=+∞\Phi(0)=+\inftyΦ(0)=+∞. It is admissible if Φ\PhiΦ is Borel measurable, ϕ\phiϕ is finite and locally bounded on (0,∞)(0,\infty)(0,∞), and

  1. ϕ(r)→+∞\phi(r)\to+\inftyϕ(r)→+∞ as r↓0r\downarrow0r↓0;
  2. ϕ≤−a<0\phi\le-a<0ϕ≤−a<0 on some interval [r1,r2][r_1,r_2][r1​,r2​] with 0<r1<r20<r_1<r_20<r1​<r2​;
  3. ∫R∞r2∣ϕ(r)∣ dr<∞\int_R^\infty r^2|\phi(r)|\,dr<\infty∫R∞​r2∣ϕ(r)∣dr<∞ for some RRR;
  4. (stability) UN(x1,…,xN)=∑i<jΦ(xi−xj)≥−BNU_N(x_1,\dots,x_N)=\sum_{i<j}\Phi(x_i-x_j)\ge -BNUN​(x1​,…,xN​)=∑i<j​Φ(xi​−xj​)≥−BN for all NNN and all configurations.

With ΛL=[−L/2,L/2]3\Lambda_L=[-L/2,L/2]^3ΛL​=[−L/2,L/2]3 and free boundary conditions, the canonical partition function is

ZΛL,N(β)=1N!∫ΛLNe−βUN dx,ZΛL,0=1,e−β⋅∞=0,Z_{\Lambda_L,N}(\beta)=\frac1{N!}\int_{\Lambda_L^N}e^{-\beta U_N}\,dx,\qquad Z_{\Lambda_L,0}=1,\quad e^{-\beta\cdot\infty}=0,ZΛL​,N​(β)=N!1​∫ΛLN​​e−βUN​dx,ZΛL​,0​=1,e−β⋅∞=0,

and the canonical free-energy density at density ρ>0\rho>0ρ>0 is

f(β,ρ)=−1βlim⁡L→∞L−3log⁡ZΛL,⌊ρL3⌋(β).f(\beta,\rho)=-\frac1\beta\lim_{L\to\infty}L^{-3}\log Z_{\Lambda_L,\lfloor\rho L^3\rfloor}(\beta).f(β,ρ)=−β1​L→∞lim​L−3logZΛL​,⌊ρL3⌋​(β).

In Lean, radialPotential φ takes values in EReal (value ⊤ at the origin), energy is the pair sum, partition φ β L N is the integral above, and HasCanonicalFreeEnergy φ f says L−3log⁡Z→−βf(β,ρ)L^{-3}\log Z\to-\beta f(\beta,\rho)L−3logZ→−βf(β,ρ) for all β,ρ>0\beta,\rho>0β,ρ>0.

Formalization targets

Goal: a strict temperature corner throughout a density interval

There exist an admissible ϕ\phiϕ with ϕ(r)=o(r−3)\phi(r)=o(r^{-3})ϕ(r)=o(r−3) as r→∞r\to\inftyr→∞, a free-energy function fff realizing the canonical limit for every β>0,ρ>0\beta>0,\rho>0β>0,ρ>0, a nonempty open interval I⊂(0,∞)I\subset(0,\infty)I⊂(0,∞) and one βc∈(1/2,3/2)\beta_c\in(1/2,3/2)βc​∈(1/2,3/2) such that for every ρ∈I\rho\in Iρ∈I the one-sided β\betaβ-derivatives exist and

Dβ−f(βc,ρ)  >  Dβ+f(βc,ρ).D^-_\beta f(\beta_c,\rho)\;>\;D^+_\beta f(\beta_c,\rho).Dβ−​f(βc​,ρ)>Dβ+​f(βc​,ρ).

This is Theorem 1.1 of the source (MainStatement). The goal is published on the platform with status Open.

Significance

The result itself. The theorem exhibits a genuine one-species pair potential, finite at every positive separation and with all cross-cube interactions retained, whose canonical free energy is not C1C^1C1 in temperature at a fixed density, with one critical temperature for an entire interval of densities. It does not concern the Lennard–Jones potential, does not identify the coexisting states as liquid/vapor/solid, and does not give a power-law tail ∣ϕ(r)∣≤Cr−3−ε|\phi(r)|\le Cr^{-3-\varepsilon}∣ϕ(r)∣≤Cr−3−ε; formulations of the historical problem that require such a margin are not resolved by it. A companion preprint (A radial continuum phase transition with algebraic decay) gives a bounded potential with tail r−3−1/32r^{-3-1/32}r−3−1/32.

Formalizing it. The statement is fully explicit about the model, normalization, and boundary conditions, so a formal proof would remove any ambiguity about which version of the problem is solved. It requires thermodynamic limits for superstable continuum systems, convex-analytic facts about pressures, and a Kac/Lebowitz–Penrose comparison with uniform estimates, none of which is currently in Mathlib.

Difficulty

Density coexistence for a grand-canonical system does not by itself produce a temperature corner at a fixed density; one needs two supporting slopes of the pressure with the same density coordinate and different energy coordinates. Classical tools for transitions (Peierls arguments, reflection positivity, Kac limits) either need lattice structure, many-body terms, or a limit in which the potential itself changes. Here a single fixed potential must be built through infinitely many attractions at growing ranges, and the convex supporting-slope information must survive every approximation step while preserving stability and integrable tails.

Formalization scope

  • Space is EuclideanSpace ℝ (Fin 3); the potential is EReal-valued with ⊤ at the origin, and the Boltzmann weight is 000 when the energy is ⊤. Stability is stated in EReal, which also rules out ⊥.
  • Free boundary conditions on the closed cube [−L/2,L/2]3[-L/2,L/2]^3[−L/2,L/2]3, Lebesgue measure without temperature normalization, 1/N!1/N!1/N!, and N=⌊ρL3⌋N=\lfloor\rho L^3\rfloorN=⌊ρL3⌋ via Nat.floor; the limit is over real L→∞L\to\inftyL→∞.
  • One-sided derivatives are HasDerivWithinAt on Iic βc and Ici βc, so both are finite real numbers; fff is pinned by HasCanonicalFreeEnergy for every β>0,ρ>0\beta>0,\rho>0β>0,ρ>0, so it cannot be chosen freely near βc\beta_cβc​.
  • III is open, order-connected, nonempty and contained in (0,∞)(0,\infty)(0,∞); βc\beta_cβc​ is independent of ρ\rhoρ.
  • Needed infrastructure: superstability estimates, existence of canonical and grand-canonical thermodynamic limits, Legendre duality for pressures, the Lebowitz–Penrose limit. These are reusable for the companion mission.

Selected references

  • B. Simon, Fifteen problems in mathematical physics, in Perspectives in Mathematics, Birkhäuser, 1984, 423–454. https://math.caltech.edu/SimonPapers/R27.pdf
  • J. L. Lebowitz and O. Penrose, Rigorous treatment of the van der Waals–Maxwell theory of the liquid-vapor transition, J. Math. Phys. 7 (1966), 98–113. https://doi.org/10.1063/1.1704821
  • D. Ruelle, Superstable interactions in classical statistical mechanics, Comm. Math. Phys. 18 (1970), 127–159. https://doi.org/10.1007/BF01646091
  • D. Ruelle, Existence of a phase transition in a continuous classical system, Phys. Rev. Lett. 27 (1971), 1040–1041. https://doi.org/10.1103/PhysRevLett.27.1040
  • R. B. Israel, Existence of phase transitions for long-range interactions, Comm. Math. Phys. 43 (1975), 59–68. https://doi.org/10.1007/BF01609141
  • J. L. Lebowitz, A. E. Mazel and E. Presutti, Liquid–vapor phase transitions for systems with finite-range interactions, J. Stat. Phys. 94 (1999), 955–1025. https://doi.org/10.1023/A:1004591218510
  • Q. He, I. Jauslin, J. Lebowitz and R. Peled, Liquid–vapor transition in a model of a continuum particle system with finite-range modified Kac pair potential, Comm. Math. Phys. 407 (2026), 240. https://doi.org/10.1007/s00220-026-05735-w
  • D. Dereudre and C. Renaud-Chan, First-order phase transition for Gibbs point processes with saturated interactions, arXiv:2602.11078 (2026). https://arxiv.org/abs/2602.11078v1
  • OpenAI, A radial continuum phase transition with algebraic decay, OpenAI Math Release preprint, September 24, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/A-radial-continuum-phase-transition-with-algebraic-decay-September-24-2026/paper.pdf
  • OpenAI, A continuum temperature singularity for a radial pair potential, OpenAI Math Release preprint, September 24, 2026 (Theorem 1.1, p. 2). https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/A-continuum-temperature-singularity-for-a-radial-pair-potential-September-24-2026/paper.pdf
5 thms2 active usersReviewed
🏆Completed
Markov ChainProbability·Captain: wurtle

Critical slowing down in the Sherrington–Kirkpatrick modelResearch Paper

Motivation

The Sherrington–Kirkpatrick (SK) model is the mean-field spin glass, and β=1\beta=1β=1 is its equilibrium critical point. Physicists expect critical slowing down: at a phase transition, local dynamics needs time growing polynomially in the system size to relax. For the SK model this was studied through linearized mean-field theory, dynamical equations for correlation and response, and simulations of equilibrium autocorrelations on an n2/3n^{2/3}n2/3 time scale. Rigorous results on Glauber dynamics had concentrated on high temperature, where mixing is fast. This mission asks for a rigorous total-variation obstruction at β=1\beta=1β=1: most equilibrium configurations, used as starting states, are still far from equilibrium after o(n2/3)o(n^{2/3})o(n2/3) time.

Timeline

  • 1975, 1978. Sherrington and Kirkpatrick introduce the model and study Glauber autocorrelations above the critical temperature (doi:10.1103/PhysRevLett.35.1792, doi:10.1103/PhysRevB.17.4384).
  • 1976. Kosterlitz, Thouless and Jones analyze the spherical spin glass, with its transition at the spectral edge (doi:10.1103/PhysRevLett.36.1217).
  • 1981–1982. Sompolinsky and Zippelius develop dynamical equations for correlation and response (doi:10.1103/PhysRevLett.47.359, doi:10.1103/PhysRevB.25.6860).
  • 1996. Comets relates the Ising and spherical partition functions via a Haar-averaging identity (doi:10.24033/ast.331).
  • 2011. Billoire and Campbell numerically examine critical autocorrelations on the n2/3n^{2/3}n2/3 scale (doi:10.1103/PhysRevB.84.054442).
  • 2016, 2022. Baik and Lee, and Landon, prove free-energy fluctuation limits for the spherical model, including criticality (doi:10.1007/s10955-016-1610-0, doi:10.1063/5.0054298).
  • 2019, 2022. Bauerschmidt–Bodineau and Eldan–Koehler–Zeitouni prove functional inequalities at high temperature (doi:10.1016/j.jfa.2019.01.007, doi:10.1007/s00440-021-01085-x).
  • 2026. Du and Huang prove critical free-energy and overlap results (arXiv:2607.02172, arXiv:2608.08752); Wang and Boban–Li–Oveis Gharan prove fast mixing for β<1/2\beta<1/2β<1/2 and β<1/2+ε0\beta<1/2+\varepsilon_0β<1/2+ε0​ (arXiv:2608.22159, arXiv:2609.13138).

The source of this mission is an OpenAI preprint dated September 24, 2026.

Setting

At β=1\beta=1β=1 and zero field, let Wij∼N(0,1/n)W_{ij}\sim N(0,1/n)Wij​∼N(0,1/n) be independent for i<ji<ji<j and

μW(x)∝exp⁡(∑i<jWijxixj),x∈{−1,1}n.\mu_W(x)\propto\exp\Bigl(\sum_{i<j}W_{ij}x_ix_j\Bigr),\qquad x\in\{-1,1\}^n .μW​(x)∝exp(i<j∑​Wij​xi​xj​),x∈{−1,1}n.

A heat-bath update at site iii resamples xix_ixi​ from its conditional law given the other spins. In continuous time every site has an independent rate-one clock (generator ∑i(Ki−I)\sum_i(K_i-I)∑i​(Ki​−I)); in discrete time each step updates a uniformly chosen site (kernel n−1∑iKin^{-1}\sum_iK_in−1∑i​Ki​). For a fixed start xxx, dtct(W,x)d^{\rm ct}_t(W,x)dtct​(W,x) and dkdt(W,x)d^{\rm dt}_k(W,x)dkdt​(W,x) are the total-variation distances to μW\mu_WμW​.

Formalization targets

Goal: Theorem 1.1 (realized equilibrium initial states)

For every deterministic tn≥0t_n\ge0tn​≥0 with tn=o(n2/3)t_n=o(n^{2/3})tn​=o(n2/3) and every deterministic integer kn=o(n5/3)k_n=o(n^{5/3})kn​=o(n5/3),

μW{x: dtnct(W,x)>1/4} → P  1,μW{x: dkndt(W,x)>1/4} → P  1.\mu_W\{x:\ d^{\rm ct}_{t_n}(W,x)>1/4\}\ \xrightarrow{\ \mathbb P\ }\ 1,\qquad \mu_W\{x:\ d^{\rm dt}_{k_n}(W,x)>1/4\}\ \xrightarrow{\ \mathbb P\ }\ 1 .μW​{x: dtn​ct​(W,x)>1/4}  P ​ 1,μW​{x: dkn​dt​(W,x)>1/4}  P ​ 1.

Lean: OAI.CriticalSK.realized_equilibrium_initial_states, open on the platform.

Milestone: Theorem 1.2 (covariance and linear tests)

With Σ=Cov⁡μW(x)\Sigma=\operatorname{Cov}_{\mu_W}(x)Σ=CovμW​​(x), D(f)=∑iμW[Var⁡(f∣x−i)]\mathcal D(f)=\sum_i\mu_W[\operatorname{Var}(f\mid x_{-i})]D(f)=∑i​μW​[Var(f∣x−i​)] and Rlin=sup⁡a≠0Var⁡(aTx)/D(aTx)R_{\rm lin}=\sup_{a\ne0}\operatorname{Var}(a^{\mathsf T}x)/\mathcal D(a^{\mathsf T}x)Rlin​=supa=0​Var(aTx)/D(aTx): for every Mn→∞M_n\to\inftyMn​→∞, with probability tending to one,

∥Σ∥, Rlin ∈ [n2/3/Mn, Mnn2/3].\|\Sigma\|,\ R_{\rm lin}\ \in\ \bigl[n^{2/3}/M_n,\ M_nn^{2/3}\bigr].∥Σ∥, Rlin​ ∈ [n2/3/Mn​, Mn​n2/3].

Milestones: Theorem 1.3 (critical mixing bounds)

For every fixed ϵ>0\epsilon>0ϵ>0,

P{n2/3−ϵ≤tmix≤eϵn}→1,P{n5/3−ϵ≤kmix≤eϵn}→1,\mathbb P\{n^{2/3-\epsilon}\le t_{\rm mix}\le e^{\epsilon n}\}\to1,\qquad \mathbb P\{n^{5/3-\epsilon}\le k_{\rm mix}\le e^{\epsilon n}\}\to1,P{n2/3−ϵ≤tmix​≤eϵn}→1,P{n5/3−ϵ≤kmix​≤eϵn}→1,

with a separate Lean target for the lower bounds alone.

Significance

The theorem shows that at criticality the slow direction is visible from typical equilibrium starts, not only from adversarial ones, and pins the time scale n2/3n^{2/3}n2/3 to the spectral edge of the coupling matrix. Theorem 1.2 identifies the covariance scale n2/3n^{2/3}n2/3, contrasting with bounded covariance at every β<1\beta<1β<1. A companion OpenAI preprint uses Theorems 1.1 and 1.2 as inputs for matching upper bounds n2/3+o(1)n^{2/3+o(1)}n2/3+o(1).

The results are proved in an OpenAI preprint; they have not been peer reviewed, and no machine-checked proof exists.

Difficulty

Averaging over the starting state gives back the stationary law, so the obstruction must be proved start by start. The slow observable is the projection vTxv^{\mathsf T}xvTx on the top eigenvector of the coupling matrix; the difficulty is the static estimate that this projection is rarely small on the n1/3n^{1/3}n1/3 scale under the Ising Gibbs law. This requires edge-of-spectrum random matrix estimates, a precise comparison between the Ising law and a tilted spherical law, and control of the conditioning on the sphere.

Formalization scope

  • hamiltonian W x = ∑_{i<j} W_{ij} x_i x_j; disorderLaw n is the product of gaussianReal 0 (1/n) over pairs i<ji<ji<j.
  • siteKernel W i is the heat-bath kernel on configurations agreeing off iii; discreteKernel = n^{-1}∑_i siteKernel; continuousKernel W t = exp(t ∑_i (siteKernel W i - 1)).
  • continuousGoodMass/discreteGoodMass are the Gibbs masses of starts with distance >1/4>1/4>1/4; convergence in probability is written as P(∣mass−1∣≥δ)→0\mathbb P(|\text{mass}-1|\ge\delta)\to0P(∣mass−1∣≥δ)→0 for all δ>0\delta>0δ>0.
  • covarianceNorm is the Euclidean operator norm; linearRayleigh is a real sSup over nonzero aaa (the quotient is bounded and the set nonempty).
  • Mixing times are sInf over times at which all starts are within 1/41/41/4.

Infrastructure: finite continuous-time Markov chains (matrix exponentials), GOE edge estimates, tridiagonal models, spherical integrals. The intermediate results Proposition 3.1, Theorem 5.3 and Proposition 5.4 are natural further milestones.

Selected references

  • OpenAI, Critical slowing down in the Sherrington–Kirkpatrick model, preprint, September 24, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Critical-slowing-down-in-the-Sherrington-Kirkpatrick-model-September-24-2026/paper.pdf
  • D. Sherrington, S. Kirkpatrick, Solvable model of a spin-glass, Phys. Rev. Lett., 1975. https://doi.org/10.1103/PhysRevLett.35.1792
  • H. Sompolinsky, A. Zippelius, Dynamic theory of the spin-glass phase, Phys. Rev. Lett., 1981. https://doi.org/10.1103/PhysRevLett.47.359
  • F. Comets, A spherical bound for the Sherrington–Kirkpatrick model, Astérisque, 1996. https://doi.org/10.24033/ast.331
  • H. Du, B. Huang, Fluctuations of the Sherrington–Kirkpatrick free energy at critical temperature, preprint, 2026. https://arxiv.org/abs/2607.02172
  • H. Du, B. Huang, Overlap distribution of the critical Sherrington–Kirkpatrick model, preprint, 2026. https://arxiv.org/abs/2608.08752
  • J. Baik, J. O. Lee, Fluctuations of the free energy of the spherical Sherrington–Kirkpatrick model, J. Stat. Phys., 2016. https://doi.org/10.1007/s10955-016-1610-0
  • B. Landon, Free energy fluctuations of the two-spin spherical SK model at critical temperature, J. Math. Phys., 2022. https://doi.org/10.1063/5.0054298
  • A. Billoire, I. A. Campbell, Dynamics in the Sherrington–Kirkpatrick Ising spin glass at and above TgT_gTg​, Phys. Rev. B, 2011. https://doi.org/10.1103/PhysRevB.84.054442
8 thms2 active usersReviewed
🏆Completed
Probability·Captain: wurtle

Exponential decay in two-dimensional classical O(n) modelsResearch Paper

Motivation: mass generation in two-dimensional spin systems

The classical O(n)O(n)O(n) model (for n=3n=3n=3, the classical Heisenberg model) places a unit vector σx∈Sn−1\sigma_x\in S^{n-1}σx​∈Sn−1 at each site of the square lattice and favours alignment of neighbouring spins. It is the basic lattice model of a system with continuous symmetry. In two dimensions the Mermin–Wagner theorem rules out spontaneous magnetization at every positive temperature, but it does not say how fast spins decorrelate. For n=2n=2n=2 (the plane rotator) correlations decay only polynomially at low temperature — the Berezinskii–Kosterlitz–Thouless phase. For n≥3n\ge3n≥3, Polyakov's 1975 renormalization-group argument predicts mass generation: exponential decay of correlations at every positive temperature, the lattice analogue of asymptotic freedom in four-dimensional non-Abelian gauge theory. A rigorous proof at low temperature has long been a central question of rigorous statistical mechanics.

Timeline

  • 1966–1967 — Mermin and Wagner prove absence of order for quantum Heisenberg models (PRL 1966); Mermin gives a classical argument (J. Math. Phys. 1967).
  • 1971–1973 — Berezinskii (Sov. Phys. JETP 1971) and Kosterlitz–Thouless (J. Phys. C 1973) describe the slow-decay phase for two-component spins.
  • 1975 — Polyakov predicts mass generation for n≥3n\ge3n≥3 at every positive temperature (Phys. Lett. B 1975).
  • 1977 — McBryan and Spencer prove algebraic upper bounds on two-dimensional correlations by complex spin rotations (CMP 1977); extended by Gagnebin and Velenik (CMP 2014).
  • 1980 — Aizenman and Simon prove exponential decay at high temperature from local Ward identities and a finite-size criterion (CMP 1980); Kupiainen proves a mass gap in the large-nnn regime via the 1/n1/n1/n expansion (CMP 1980).
  • 1981 — Fröhlich and Spencer prove the Kosterlitz–Thouless transition: polynomial lower bounds for the plane rotator at low temperature (CMP 1981), so no all-temperature exponential decay is possible for n=2n=2n=2.
  • 2002 — Patrascioiu and Seiler study percolation of spin regions as a route to a possible massless phase for n=3n=3n=3 (J. Stat. Phys. 106, 2002).
  • 2025 — Aru, Garban and Sepúlveda record the all-temperature exponential-decay assertion as an open conjecture (CMP 2025).
  • 2026 — An OpenAI preprint, Exponential decay in two-dimensional classical O(n) models (OpenAI Math Release, September 23, 2026), claims exponential decay for every n≥3n\ge3n≥3 and every finite β\betaβ, uniformly over finite free-boundary subgraphs. The preprint has not been peer reviewed and its theorem is not formally verified.

Setting

Let G=(V,E)G=(V,E)G=(V,E) be a finite subgraph of the nearest-neighbour square lattice Z2\mathbb Z^2Z2, and let b=(be)e∈Eb=(b_e)_{e\in E}b=(be​)e∈E​ be edge strengths with 0≤be≤β0\le b_e\le\beta0≤be​≤β. Put a spin σx∈Sn−1\sigma_x\in S^{n-1}σx​∈Sn−1 at each vertex. The free-boundary Gibbs measure is

dμG,b(n)(σ)=1ZG,b(n)exp⁡(∑{x,y}∈Ebxy σx⋅σy)∏x∈Vdωn−1(σx),d\mu^{(n)}_{G,b}(\sigma)=\frac{1}{Z^{(n)}_{G,b}}\exp\Bigl(\sum_{\{x,y\}\in E}b_{xy}\,\sigma_x\cdot\sigma_y\Bigr)\prod_{x\in V}d\omega_{n-1}(\sigma_x),dμG,b(n)​(σ)=ZG,b(n)​1​exp({x,y}∈E∑​bxy​σx​⋅σy​)x∈V∏​dωn−1​(σx​),

where ωn−1\omega_{n-1}ωn−1​ is the uniform probability measure on the unit sphere and ZG,b(n)Z^{(n)}_{G,b}ZG,b(n)​ is the normalizing integral. There are no boundary spins and no external field. The two-point function is ⟨σx⋅σy⟩G,b(n)\langle\sigma_x\cdot\sigma_y\rangle^{(n)}_{G,b}⟨σx​⋅σy​⟩G,b(n)​, and ∥x−y∥2\|x-y\|_2∥x−y∥2​ is Euclidean distance.

Formalization targets

Goal: all-temperature exponential decay (Theorem 1.1)

For every integer n≥3n\ge3n≥3 and every β>0\beta>0β>0 there are A<∞A<\inftyA<∞ and m>0m>0m>0 such that, for every finite nearest-neighbour subgraph GGG of Z2\mathbb Z^2Z2, every b∈[0,β]Eb\in[0,\beta]^Eb∈[0,β]E and all x,y∈Vx,y\in Vx,y∈V,

0 ≤ ⟨σx⋅σy⟩G,b(n) ≤ A e−m∥x−y∥2.0\ \le\ \langle\sigma_x\cdot\sigma_y\rangle^{(n)}_{G,b}\ \le\ A\,e^{-m\|x-y\|_2}.0 ≤ ⟨σx​⋅σy​⟩G,b(n)​ ≤ Ae−m∥x−y∥2​.

The constants depend only on nnn and β\betaβ and may deteriorate as β→∞\beta\to\inftyβ→∞. The goal statement is published on the platform with status Open: no machine-checked proof exists yet.

Significance

The result itself. Uniformity over all finite subgraphs and strengths gives the same bound for free-boundary limits on boxes (Corollary 1.2 of the source) and for their subsequential infinite-volume limits, hence finite susceptibility. It confirms rigorously, for the spin two-point function, the mass-generation prediction for n≥3n\ge3n≥3 at arbitrarily low temperature, the regime left open by high-temperature and large-nnn results, and contrasts sharply with the n=2n=2n=2 case. The source does not claim a transfer-matrix gap for all local observables, correlation-length asymptotics, or uniqueness of Gibbs states.

Formalizing it. The statement is a uniform estimate on explicit finite-dimensional integrals; a formal proof would certify a result the physics literature has expected since 1975. Groundwork includes Gibbs measures on products of spheres, rotation (Ward) identities, and random-cluster/sign-cluster representations, reusable for other lattice spin models.

Difficulty

Mermin–Wagner and McBryan–Spencer type arguments only show that order is destroyed and give polynomial bounds; they allow a zero decay rate and cannot distinguish n≥3n\ge3n≥3 from n=2n=2n=2. Any proof must use the non-Abelian nature of the symmetry group, since the conclusion fails for n=2n=2n=2. Exponential decay at high temperature (small β\betaβ) follows from expansions, but at large β\betaβ spins are strongly aligned over long distances and no small parameter is available. Reducing to three components by conditioning produces random, dependent couplings, so the three-component estimate must hold uniformly over all strength arrays.

Formalization scope

  • Sites are ℤ × ℤ; a LatticeGraph is a finite vertex set with a finite set of positively oriented nearest-neighbour edges (each undirected edge represented once). Strengths are functions G.edges → ℝ with 0≤be≤β0\le b_e\le\beta0≤be​≤β, so deleting edges and weakening couplings are covered.
  • Spins live in Metric.sphere 0 1 of EuclideanSpace ℝ (Fin n); the single-site law is the normalized sphere measure (toSphere of Lebesgue measure); the configuration law is the product measure.
  • correlation is the ratio of integrals ∫σx⋅σy eH/∫eH\int\sigma_x\cdot\sigma_y\,e^{H}\big/\int e^{H}∫σx​⋅σy​eH/∫eH; the partition function is strictly positive, so the division is genuine.
  • The quantifier order is ∀n≥3, ∀β>0, ∃A,m\forall n\ge3,\ \forall\beta>0,\ \exists A,m∀n≥3, ∀β>0, ∃A,m with m>0m>0m>0, then ∀G,b,x,y\forall G,b,x,y∀G,b,x,y: constants may not depend on the graph, the strengths or the points. Distance is the Euclidean norm on Z2⊂R2\mathbb Z^2\subset\mathbb R^2Z2⊂R2.
  • Infrastructure needed: integration on spheres, differentiation of partition functions under spin rotations, FKG/Ginibre inequalities, Edwards–Sokal type couplings and percolation crossing estimates.

Selected references

  • N. D. Mermin and H. Wagner, Absence of ferromagnetism or antiferromagnetism in one- or two-dimensional isotropic Heisenberg models, Phys. Rev. Lett. 17 (1966), 1133–1136. https://doi.org/10.1103/PhysRevLett.17.1133
  • A. M. Polyakov, Interaction of Goldstone particles in two dimensions, Phys. Lett. B 59 (1975), 79–81. https://doi.org/10.1016/0370-2693(75)90161-6
  • O. A. McBryan and T. Spencer, On the decay of correlations in SO(n)-symmetric ferromagnets, Comm. Math. Phys. 53 (1977), 299–302. https://doi.org/10.1007/BF01609854
  • M. Aizenman and B. Simon, Local Ward identities and the decay of correlations in ferromagnets, Comm. Math. Phys. 77 (1980), 137–143. https://doi.org/10.1007/BF01982713
  • A. J. Kupiainen, On the 1/n expansion, Comm. Math. Phys. 73 (1980), 273–294. https://doi.org/10.1007/BF01197703
  • J. Fröhlich and T. Spencer, The Kosterlitz–Thouless transition in two-dimensional Abelian spin systems and the Coulomb gas, Comm. Math. Phys. 81 (1981), 527–602. https://doi.org/10.1007/BF01208273
  • M. Gagnebin and Y. Velenik, Upper bound on the decay of correlations in a general class of O(N)-symmetric models, Comm. Math. Phys. 332 (2014), 1235–1255. https://doi.org/10.1007/s00220-014-2075-0
  • J. Aru, C. Garban and A. Sepúlveda, Percolation for 2D classical Heisenberg model and exit sets of vector valued GFF, Comm. Math. Phys. 406 (2025). https://doi.org/10.1007/s00220-024-05208-y
  • OpenAI, Exponential decay in two-dimensional classical O(n) models, OpenAI Math Release preprint, September 23, 2026 (source of the goal; Theorem 1.1, p. 1). https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Exponential-decay-in-two-dimensional-classical-On-models-September-23-2026/paper.pdf
7 thms2 active usersReviewed
🏆Completed
Quantum Information·Captain: Lucas

Peres-Terno: the no-communication theorem for commuting Kraus operatorsResearch Paper

Motivation

Two observers, Alice and Bob, share a quantum system. Alice performs some intervention (a measurement, possibly followed by discarding part of her apparatus) and Bob, somewhere else, performs his own. If the statistics of Bob's outcomes could depend on what Alice chose to do, Alice could send Bob a message through the shared system alone, and if the two interventions are spacelike separated this would be a signal faster than light. Quantum mechanics and special relativity coexist peacefully only because this does not happen: the no-communication theorem guarantees that Bob's marginal statistics are independent of Alice's intervention whenever the two interventions are "local" to different parts of the system.

The review article of Peres and Terno, Quantum information and relativity theory (Rev. Mod. Phys. 76, 2004), develops the operational toolkit of quantum information (Kraus matrices, positive-operator-valued measures, completely positive maps) in Sec. II.D and then derives, in Sec. II.E, a sufficient algebraic condition for the absence of instantaneous information transfer: all of Alice's Kraus matrices commute with all of Bob's (their Eq. (9)). This mission formalizes that derivation together with the facts about Kraus matrices and complete positivity that the same pages state.

Setting

A quantum state on a finite-dimensional Hilbert space Cd\mathbb C^dCd is a density matrix ρ\rhoρ: a positive semidefinite d×dd\times dd×d complex matrix with tr⁡ρ=1\operatorname{tr}\rho = 1trρ=1.

An intervention with outcomes μ\muμ is described by Kraus matrices AμmA_{\mu m}Aμm​, where the label mmm ranges over a finite set indexing the subsystems discarded at the end of the interaction. When outcome μ\muμ occurs, the state is updated (Eq. (6)) to the unnormalized matrix

ρμ′=∑mAμm ρ Aμm†,\rho'_\mu = \sum_m A_{\mu m}\,\rho\,A_{\mu m}^\dagger ,ρμ′​=m∑​Aμm​ρAμm†​,

and the probability of outcome μ\muμ is pμ=tr⁡ρμ′p_\mu = \operatorname{tr}\rho'_\mupμ​=trρμ′​. The matrices

Eμ=∑mAμm†AμmE_\mu = \sum_m A_{\mu m}^\dagger A_{\mu m}Eμ​=m∑​Aμm†​Aμm​

(Eq. (8)) are the POVM elements; the intervention is complete when ∑μEμ=1\sum_\mu E_\mu = \mathbb 1∑μ​Eμ​=1.

A map TTT on matrices is positive if it sends positive semidefinite matrices to positive semidefinite matrices, and completely positive if T⊗1T\otimes\mathbb 1T⊗1, acting blockwise on matrices over Cd⊗Cn\mathbb C^d\otimes\mathbb C^nCd⊗Cn, is positive for every ancilla dimension nnn.

For the no-communication theorem, Alice's Kraus matrices AμmA_{\mu m}Aμm​ and Bob's Kraus matrices BνnB_{\nu n}Bνn​ act on the same finite-dimensional space. The probability that Bob obtains ν\nuν, irrespective of Alice's outcome, is (Eq. (10))

pν=∑μtr⁡(∑m,nBνnAμm ρ Aμm†Bνn†).p_\nu = \sum_\mu \operatorname{tr}\Big(\sum_{m,n} B_{\nu n} A_{\mu m}\,\rho\,A_{\mu m}^\dagger B_{\nu n}^\dagger\Big).pν​=μ∑​tr(m,n∑​Bνn​Aμm​ρAμm†​Bνn†​).

Formalization targets

Goal: no-communication (Sec. II.E, Eqs. (9)-(11))

If [Aμm,Bνn]=0[A_{\mu m}, B_{\nu n}] = 0[Aμm​,Bνn​]=0 for all μ,m,ν,n\mu, m, \nu, nμ,m,ν,n, Alice's POVM is complete, and ρ\rhoρ is a density matrix, then for every outcome ν\nuν of Bob

∑μtr⁡(∑m,nBνnAμm ρ Aμm†Bνn†)=tr⁡(∑nBνn ρ Bνn†),\sum_\mu \operatorname{tr}\Big(\sum_{m,n} B_{\nu n} A_{\mu m}\,\rho\,A_{\mu m}^\dagger B_{\nu n}^\dagger\Big) = \operatorname{tr}\Big(\sum_n B_{\nu n}\,\rho\,B_{\nu n}^\dagger\Big),μ∑​tr(m,n∑​Bνn​Aμm​ρAμm†​Bνn†​)=tr(n∑​Bνn​ρBνn†​),

so all of Alice's operators disappear from Bob's statistics.

Milestones (Sec. II.D-II.E)

  1. Eq. (7): ∑mtr⁡(AμmρAμm†)=tr⁡(ρEμ)\sum_m \operatorname{tr}(A_{\mu m}\rho A_{\mu m}^\dagger) = \operatorname{tr}(\rho E_\mu)∑m​tr(Aμm​ρAμm†​)=tr(ρEμ​).
  2. Eq. (8): every EμE_\muEμ​ is positive semidefinite.
  3. Eqs. (7)-(8): for a density matrix and a complete POVM, the pμp_\mupμ​ are nonnegative reals summing to 111.
  4. Eq. (6) defines a completely positive map.
  5. Eq. (6) is the most general completely positive linear map: every completely positive linear map between matrix algebras has a finite Kraus representation.
  6. Time reversal (transposition, i.e. complex conjugation of a Hermitian ρ\rhoρ) is a positive map,
  7. but it is not completely positive.
  8. The exchange step of Sec. II.E: under the commutation hypothesis, tr⁡∑m,nBνnAμmρAμm†Bνn†=tr⁡(Eμ∑nBνnρBνn†)\operatorname{tr}\sum_{m,n} B_{\nu n}A_{\mu m}\rho A_{\mu m}^\dagger B_{\nu n}^\dagger = \operatorname{tr}\big(E_\mu \sum_n B_{\nu n}\rho B_{\nu n}^\dagger\big)tr∑m,n​Bνn​Aμm​ρAμm†​Bνn†​=tr(Eμ​∑n​Bνn​ρBνn†​).

Significance

The no-communication theorem is the consistency check between quantum measurement theory and relativistic causality, and it is the starting point of the relativistic measurement theory developed in Sec. III of the review. The commutation condition (9) is exactly what local quantum field theory provides for spacelike separated regions, so this algebraic form is the one later used for microcausality arguments. The Kraus representation (milestones 4-5) is a basic structural theorem of quantum information theory, and the failure of complete positivity for transposition (milestones 6-7) underlies the partial-transpose entanglement criterion.

The results are classical and their proofs are known; the mission produces machine-checked versions on top of Mathlib's matrix library. The finite Kraus representation theorem (milestone 5) requires Choi-matrix machinery that is not, to the knowledge of this proposal, available in Mathlib in this form; it is reusable well beyond this mission.

Difficulty

The goal and milestones 1-3 and 8 are finite-dimensional trace manipulations; the care needed is in keeping the order of products right, using the adjoint of the commutation relation, and summing over indices in the correct order. Milestone 7 needs an explicit entangled witness on C2⊗Cn\mathbb C^2\otimes\mathbb C^nC2⊗Cn. Milestone 5 is the substantial one: the obvious approach of writing T(ρ)T(\rho)T(ρ) in a basis does not produce Kraus operators directly; a positivity argument (via the Choi matrix of TTT and its spectral decomposition) is needed.

Formalization scope

All Hilbert spaces are finite dimensional: matrices are indexed by arbitrary finite types with complex entries. Outcome sets and discarded-subsystem label sets are finite types; Alice's and Bob's label sets may depend on the outcome. Kraus matrices for the single-intervention milestones may be rectangular (e×de\times de×d), reflecting that the system after the intervention may differ from the original one; in the no-communication theorem both observers' matrices are square on a common space. The order on C\mathbb CC used for "nonnegative probability" is the standard partial order (z≥0z\ge 0z≥0 iff zzz is real and nonnegative). Complete positivity quantifies over ancillas Cn\mathbb C^nCn for every n∈Nn\in\mathbb Nn∈N, with T⊗1T\otimes\mathbb 1T⊗1 acting blockwise. Time reversal is encoded by the linear map ρ↦ρT\rho\mapsto\rho^{T}ρ↦ρT; on Hermitian matrices this coincides with complex conjugation, and only the linear extension gives a meaningful complete-positivity statement.

The goal keeps the hypotheses of the source setting (both POVMs complete, ρ\rhoρ a density matrix); none of them can be dropped silently by a degenerate encoding, and the conclusion is an identity of complex numbers, so no hypothesis is vacuous: for instance, single-outcome trivial interventions with A=B=1A = B = \mathbb 1A=B=1 satisfy all of them.

Note: the sentence on p. 100 of the source claiming that commuting POVM elements are necessarily orthogonal projections is not included; as stated it fails (e.g. E1=E2=121E_1 = E_2 = \tfrac12\mathbb 1E1​=E2​=21​1).

Selected references

  • A. Peres and D. R. Terno, Quantum information and relativity theory, Rev. Mod. Phys. 76, 93-123 (2004). https://doi.org/10.1103/RevModPhys.76.93
  • K. Kraus, States, Effects, and Operations, Lecture Notes in Physics 190, Springer (1983). https://doi.org/10.1007/3-540-12732-1
  • M.-D. Choi, Completely positive linear maps on complex matrices, Linear Algebra Appl. 10, 285-290 (1975). https://doi.org/10.1016/0024-3795(75)90075-0
10 thms2 active usersReviewed
🏆Completed
Topology·Captain: Lucas

Assumptions of Physics III: Properties, Quantities and Natural OrdersTextbook

Motivation

This is the third mission of the series on Assumptions of Physics by G. Carcassi and C. A. Aidala (book, v3.0, 2025), formalizing the order-theoretic core of Part II, Chapter 3, "Properties and quantities". The chapter explains when the possibilities of an experiment can be labelled by numbers: a domain can be described by a quantity exactly when its possibilities already carry a linear order whose order topology is the natural topology. It then shows that integer-valued quantities correspond to sparse orders and decidable domains, and real-valued quantities to dense, complete, separable orders. The mission imports the definitions of mission I (Assumptions of Physics I), which must be launched first.

Setting

For an experimental domain D\mathcal DD with possibilities XXX and natural topology TX\mathcal T_XTX​ (mission I), a property with values in a topological space QQQ fully characterizes D\mathcal DD if it is a homeomorphism q:X→Qq:X\to Qq:X→Q. A quantity is a property whose value space (Q,≤)(Q,\le)(Q,≤) is linearly ordered and carries the order topology. A linear order on XXX is a natural order if its order topology equals TX\mathcal T_XTX​. A linear order is sparse if every chain between two elements is finite and dense if between any two elements there is an infinite chain; it is complete if every non-empty bounded subset has a supremum.

Formalization targets

Goal (Theorem 3.9, Property ordering theorem)

D fully characterized by (Q,≤,q)  ⟺  ∃ natural order ⪯ on X with (X,⪯)≅(Q,≤).\mathcal D \text{ fully characterized by } (Q,\le,q) \iff \exists \text{ natural order } \preceq \text{ on } X \text{ with } (X,\preceq)\cong(Q,\le).D fully characterized by (Q,≤,q)⟺∃ natural order ⪯ on X with (X,⪯)≅(Q,≤).

Milestones

  • Proposition 3.14: for a natural order, each "x<x1x<x_1x<x1​" is verifiable and x1≤x2  ⟺  x_1\le x_2\iffx1​≤x2​⟺ "x<x1x<x_1x<x1​" ≼\preccurlyeq≼ "x<x2x<x_2x<x2​".
  • Proposition 3.42: sparse linear orders are exactly the contiguous subsets of Z\mathbb ZZ (up to isomorphism).
  • Corollary 3.48: dense in the book's sense iff between two elements there is always a third.
  • Theorem 3.51: dense, complete linear orders with a countable dense subset are exactly the contiguous subsets of R\mathbb RR.
  • Theorem 3.44 (1⇔2): natural sparse order iff fully characterized by a discrete quantity.
  • Proposition 3.46: decidable iff fully characterized by a discrete quantity.
  • Theorem 3.53 (1⇔2): natural dense complete separable order iff fully characterized by a continuous quantity.
  • Propositions 3.55, 3.56: the order topology on R\mathbb RR is generated by rational open intervals, and its open sets are countable unions of open intervals.

Significance

These results say that numerical labels are not added to experimental domains from outside: an integer or real quantity can be assigned only when the domain already has the corresponding order structure, and that order is fixed by narrowness of verifiable statements. Theorem 3.51 is a classical characterization of real intervals that the book takes without proof. The results are proved informally in the book (3.51 is only sketched there); no machine-checked formalization of the domain-level statements is known to the drafters.

Difficulty

Theorem 3.9 needs transport of a linear order along a homeomorphism and the fact that order isomorphisms are homeomorphisms of order topologies. Theorem 3.51 needs the uniqueness of Dedekind completions of a countable dense order and must handle every kind of endpoint behaviour of a contiguous subset of R\mathbb RR. Proposition 3.46 must cover finite as well as infinite domains: the book's proof uses a bijection with Z\mathbb ZZ, which exists only for countably infinite possibility sets.

Formalization scope

Quantities are types Q with Mathlib's LinearOrder, TopologicalSpace and OrderTopology; full characterization is Nonempty (D.Possibility ≃ₜ Q); a natural order is a LinearOrder structure on D.Possibility whose Preorder.topology equals the natural topology. "Contiguous subset" is Set.OrdConnected. For continuous quantities the subset U⊆RU\subseteq\mathbb RU⊆R carries its own order topology, as in Definitions 3.6 and 3.52. In Theorems 3.44 and 3.46 the value type ranges over Type, which is enough because sparse orders are countable. Sections 3.3 and 3.6 (references and their ordering, statement (3) of Theorems 3.44 and 3.53, Theorem 3.38) are left for a later mission: they need a separate formal theory of references.

Selected references

  • G. Carcassi, C. A. Aidala, Assumptions of Physics, Ver. 3.0, December 31, 2025. https://assumptionsofphysics.org/book — Part II, Chapter 3 "Properties and quantities", pp. 169–195.
11 thms2 active usersReviewed
🏆Completed
Topology·Captain: Lucas

Assumptions of Physics II: Inference and Causal Relationships Between Experimental DomainsTextbook

Motivation

This is the second mission of the series on Assumptions of Physics by G. Carcassi and C. A. Aidala (book, v3.0, 2025), formalizing Part II, Chapter 2, "Domain combination and relationships". The chapter asks when the outcome of one experiment can be inferred from another (e.g. temperature from the height of a mercury column), and shows that such inference relationships between verifiable statements correspond to causal relationships between possibilities, which are continuous maps of the natural topologies. It builds on the definitions of the first mission (Assumptions of Physics I), which must be launched first because this mission imports its definition file.

Setting

Statements are truth sets s⊆Ωs\subseteq\Omegas⊆Ω over the possible assignments Ω\OmegaΩ of a fixed logical context; an experimental domain D\mathcal DD, its possibilities XXX, verifiable sets U(s)U(s)U(s) and natural topology are as in mission I. An inference relationship from DY\mathcal D_YDY​ to DX\mathcal D_XDX​ is a map r:DY→DXr:\mathcal D_Y\to\mathcal D_Xr:DY​→DX​ with r(s)≡sr(s)\equiv sr(s)≡s; DY\mathcal D_YDY​ depends on DX\mathcal D_XDX​ if one exists, and two domains are equivalent if each depends on the other. A causal relationship is a function f:X→Yf:X\to Yf:X→Y between possibilities with x≼f(x)x\preccurlyeq f(x)x≼f(x). The combined domain of a countable family of domains is generated by all their statements under finite conjunction and countable disjunction.

Formalization targets

Goal (Theorem 2.10, Experimental Relationship Theorem, with continuity made explicit)

DY⊆DX  ⟺  ∃ f:X→Y continuous with x≼f(x) ∀x∈X.\mathcal D_Y\subseteq\mathcal D_X \iff \exists\, f:X\to Y \text{ continuous with } x\preccurlyeq f(x)\ \forall x\in X.DY​⊆DX​⟺∃f:X→Y continuous with x≼f(x) ∀x∈X.

Milestones

  • Corollary 2.3: a sub-domain depends on the domain.
  • Corollary 2.5: domain equivalence is an equivalence relation.
  • Corollary 2.9: a causal relationship is unique if it exists.
  • Corollary 2.11: DX≡DY\mathcal D_X\equiv\mathcal D_YDX​≡DY​ iff there is a homeomorphism f:X→Yf:X\to Yf:X→Y with x≡f(x)x\equiv f(x)x≡f(x).
  • Proposition 2.14: the possibilities of a combined domain are the non-impossible conjunctions ⋀ixi\bigwedge_i x_i⋀i​xi​ of possibilities xi∈Xix_i\in X_ixi​∈Xi​.

Significance

Theorem 2.10 is what justifies describing experimental relationships by functions between possibilities rather than by maps between all finite-precision statements, and Corollary 2.11 identifies equivalence of experimental domains with homeomorphisms that respect the statements. Later chapters use these to transport structure between equivalent domains. The results are proved informally in the book; no machine-checked formalization is known to the drafters.

Difficulty

The forward direction requires showing that each possibility of DX\mathcal D_XDX​ lies inside exactly one possibility of DY\mathcal D_YDY​ and that preimages of verifiable sets are verifiable. The converse is subtler: Definition 2.7 does not require continuity, and the book's Corollary 2.8 ("all causal relationships are continuous") does not hold in general. For example, with Ω={0,1}\Omega=\{0,1\}Ω={0,1}, DX={∅,{1},Ω}\mathcal D_X=\{\emptyset,\{1\},\Omega\}DX​={∅,{1},Ω} and DY={∅,{0},Ω}\mathcal D_Y=\{\emptyset,\{0\},\Omega\}DY​={∅,{0},Ω}, the identity on possibilities is a causal relationship but DY⊈DX\mathcal D_Y\not\subseteq\mathcal D_XDY​⊆DX​. The goal therefore includes continuity of fff explicitly. That is the hypothesis the book's proof of the converse actually uses.

Formalization scope

Domains are ExperimentalDomain Ω on a common type Ω; dependence is ExperimentalDomain.DependsOn (existence of an equivalence-preserving map, which here is the inclusion DY⊆DX\mathcal D_Y\subseteq\mathcal D_XDY​⊆DX​), causal relationships are predicates IsCausalRel on functions between the possibility types, and topological notions are Mathlib's (Continuous, ≃ₜ). The combined domain ExperimentalDomain.combined takes a family over an arbitrary countable index type. Theorem 2.12 (transport of structure) is informal in the source and is not formalized here. Propositions 2.15–2.28 are left out: the residual possibility depends on the choice of basis, and Proposition 2.18 appears to need a stronger independence hypothesis than Definition 2.17 provides. They are candidates for a later mission.

Selected references

  • G. Carcassi, C. A. Aidala, Assumptions of Physics, Ver. 3.0, December 31, 2025. https://assumptionsofphysics.org/book — Part II, Chapter 2 "Domain combination and relationships", pp. 149–168.
7 thms2 active usersReviewed
🏆Completed
Topology·Captain: Lucas

Assumptions of Physics I: Experimental Domains and Their Natural TopologyTextbook

Motivation

Assumptions of Physics by Gabriele Carcassi and Christine A. Aidala (book, v3.0, 2025) is a programme to derive the mathematical structures of physical theories from explicit physical requirements. Part II, "Physical Mathematics", begins (Chapter 1) by making precise what it means for a statement to be experimentally verifiable, and shows that a single physical requirement (only countably many tests can be run in an indefinite amount of time) is enough to force the familiar structures of point-set topology onto the space of outcomes of any experiment. This mission formalizes that chapter. It is the first mission of a series on the book; all declarations live in the namespace AssumptionsOfPhysics so that later missions can build on them.

Setting

A logical context is represented by its set Ω\OmegaΩ of possible truth assignments, and a statement (up to logical equivalence) by its truth set s⊆Ωs\subseteq\Omegas⊆Ω. Negation, conjunction and disjunction are complement, intersection and union; the certainty is Ω\OmegaΩ and the impossibility is ∅\emptyset∅; "s1s_1s1​ is narrower than s2s_2s2​" means s1⊆s2s_1\subseteq s_2s1​⊆s2​, and s1,s2s_1,s_2s1​,s2​ are compatible when s1∩s2≠∅s_1\cap s_2\neq\emptysets1​∩s2​=∅.

An experimental domain D\mathcal DD is a family of statements that contains Ω\OmegaΩ and ∅\emptyset∅, is closed under finite conjunction and countable disjunction, and has a countable basis B⊆DB\subseteq\mathcal DB⊆D: every element of D\mathcal DD is obtained from BBB by finite conjunctions and countable disjunctions. Its theoretical domain Dˉ\bar{\mathcal D}Dˉ is the closure of D\mathcal DD under negation, finite conjunction and countable disjunction. A possibility is a non-impossible x∈Dˉx\in\bar{\mathcal D}x∈Dˉ that, for every s∈Dˉs\in\bar{\mathcal D}s∈Dˉ, is either narrower than sss or incompatible with it; XXX denotes the set of possibilities. The verifiable set of a statement sss is U(s)={x∈X:x∩s≠∅}U(s)=\{x\in X: x\cap s\neq\emptyset\}U(s)={x∈X:x∩s=∅}, and the natural topology on XXX is the topology generated by {U(s):s∈D}\{U(s): s\in\mathcal D\}{U(s):s∈D}. A domain is decidable if it is closed under negation.

Formalization targets

Goal (Propositions 1.57, 1.61, 1.65)

TX={U(s):s∈D},(X,TX) is second-countable and T0.\mathcal T_X = \{U(s) : s\in\mathcal D\},\qquad (X,\mathcal T_X)\ \text{is second-countable and } T_0 .TX​={U(s):s∈D},(X,TX​) is second-countable and T0​.

Milestones

  • Proposition 1.37: Dˉ\bar{\mathcal D}Dˉ is closed under countable conjunction.
  • Proposition 1.46: any basis of D\mathcal DD generates Dˉ\bar{\mathcal D}Dˉ by negation and countable operations.
  • Proposition 1.48: the possibilities are exactly the non-impossible minterms of a basis.
  • Theorem 1.52: ∣X∣≤2ℵ0|X|\le 2^{\aleph_0}∣X∣≤2ℵ0​.
  • Proposition 1.53: XXX finite   ⟺  \iff⟺ D\mathcal DD finite   ⟺  \iff⟺ D\mathcal DD has a finite basis.
  • Proposition 1.56: s=⋁x∈U(s)xs=\bigvee_{x\in U(s)}xs=⋁x∈U(s)​x for s∈Ds\in\mathcal Ds∈D.
  • Propositions 1.57, 1.60, 1.61, 1.65: the verifiable sets are exactly the open sets; U(B)∪{X}U(B)\cup\{X\}U(B)∪{X} is a sub-basis; second countability; T0T_0T0​.
  • Proposition 1.66: T1T_1T1​   ⟺  \iff⟺ every possibility is approximately verifiable.
  • Proposition 1.74 and Theorem 1.76: equivalent characterizations of decidable domains, and decidability   ⟺  \iff⟺ discreteness of the natural topology.

Significance

The chapter's results identify the open sets of a topology with verifiable statements and its points with complete experimental answers (possibilities). Second countability and the T0T_0T0​ axiom are thereby derived rather than assumed, and the cardinality bound ∣X∣≤2ℵ0|X|\le 2^{\aleph_0}∣X∣≤2ℵ0​ limits which mathematical objects can carry experimental meaning. Later chapters of the book (domain combination, properties and quantities, ensemble spaces) rely on these facts. The results are proved informally in the book; no machine-checked formalization of them is known to the drafters. A formalization fixes the precise hypotheses under which they hold (for instance, whether a basis must be countable in Propositions 1.46, 1.48 and 1.60) and provides a reusable library for the rest of the series.

Difficulty

The individual statements are elementary, but several of the book's proofs are informal about two points that a formal proof must handle. First, the possibilities must be shown to cover the space of assignments and to be atoms of Dˉ\bar{\mathcal D}Dˉ; the book argues through minterms of a countable basis, which needs a "disjunctive normal form" for countably generated families. Second, the natural topology is defined via arbitrary unions while experimental domains are only closed under countable disjunction; showing that every open set is still of the form U(s)U(s)U(s) (Proposition 1.57) requires a second-countability / Lindelöf-type argument rather than direct closure.

Formalization scope

Statements are subsets s : Set Ω of an arbitrary type Ω (possibly empty); the experimental domain is the structure ExperimentalDomain Ω, whose field stmts is the family D\mathcal DD. Generation by finite conjunction and countable disjunction (FinConjCountDisj) includes the empty conjunction Ω\OmegaΩ and the empty disjunction ∅\emptyset∅; generation with negation (NegFinConjCountDisj) includes Ω\OmegaΩ. Possibilities form the type D.Possibility, which carries the natural topology as an instance; topological notions (SecondCountableTopology, T0Space, T1Space, DiscreteTopology) are Mathlib's. The primitive notion of verifiability (Axiom 1.27) is not modelled separately: membership in D\mathcal DD is what all results of the chapter use. Statements involving "a basis" quantify over every basis (countable or not), as in the source. Contributions of reusable lemmas, in particular a disjunctive-normal-form lemma for countably generated families of sets, are welcome.

Selected references

  • G. Carcassi, C. A. Aidala, Assumptions of Physics, Ver. 3.0, December 31, 2025. https://assumptionsofphysics.org/book — Part II, Chapter 1 "Verifiable statements and experimental domains", pp. 101–146.
15 thms2 active usersReviewed
🏆Completed
Captain: Lucas

Assumptions of Physics IV: Ensemble Spaces Are CancellativeTextbook

Motivation

This is the fourth mission of the series on Assumptions of Physics by G. Carcassi and C. A. Aidala (book, v3.0, 2025), formalizing the axiomatic core of Part II, Chapter 4, "Ensemble spaces". The chapter proposes three physically motivated axioms (ensemble, mixture, entropy) that every space of statistical states should satisfy, covering classical probability distributions and quantum density operators alike, and derives from them structure that is usually postulated, for example that mixtures can be "un-mixed" (cancellativity). That is the first step towards embedding ensembles in a vector space. Unlike missions II and III, this mission does not depend on earlier missions.

Setting

An ensemble space is a T0T_0T0​, second countable topological space EEE with a continuous mixing operation (p,a,b)↦pa+pˉb(p,a,b)\mapsto pa+\bar pb(p,a,b)↦pa+pˉ​b (p∈[0,1]p\in[0,1]p∈[0,1], pˉ=1−p\bar p=1-ppˉ​=1−p) that is idempotent, commutative and associative, and a continuous entropy S:E→RS:E\to\mathbb RS:E→R. The entropy is strictly concave, S(pa+pˉb)≥pS(a)+pˉS(b)S(pa+\bar pb)\ge pS(a)+\bar pS(b)S(pa+pˉ​b)≥pS(a)+pˉ​S(b) with equality iff a=ba=ba=b, and bounded above by I(p,pˉ)+pS(a)+pˉS(b)I(p,\bar p)+pS(a)+\bar pS(b)I(p,pˉ​)+pS(a)+pˉ​S(b) for a universal function III. Two ensembles are orthogonal, a⊥ba\perp ba⊥b, when this bound is saturated, and mixtures preserve orthogonality. An ensemble ccc is a component of aaa if a=pc+pˉda=pc+\bar pda=pc+pˉ​d with p∈(0,1]p\in(0,1]p∈(0,1]; two ensembles are separate if they have no common component. The mixing entropy is MS(a,b)=S(12a+12b)−12S(a)−12S(b)MS(a,b)=S(\tfrac12a+\tfrac12b)-\tfrac12S(a)-\tfrac12S(b)MS(a,b)=S(21​a+21​b)−21​S(a)−21​S(b).

Formalization targets

Goal (Theorem 4.73, Ensemble spaces are cancellative)

pa+pˉe=pb+pˉe for some p∈(0,1)  ⟹  a=b.pa+\bar pe=pb+\bar pe \text{ for some } p\in(0,1)\implies a=b.pa+pˉ​e=pb+pˉ​e for some p∈(0,1)⟹a=b.

Milestones

  • Proposition 4.67: orthogonality is irreflexive and symmetric, components are not orthogonal, and orthogonality implies separateness.
  • Corollary 4.102: pa+pˉb=bpa+\bar pb=bpa+pˉ​b=b for some p∈(0,1]p\in(0,1]p∈(0,1] implies a=ba=ba=b.
  • Proposition 4.116 (items 1, 2, 3, 5): MS(a,b)≥0MS(a,b)\ge0MS(a,b)≥0, MS(a,b)=0  ⟺  a=bMS(a,b)=0\iff a=bMS(a,b)=0⟺a=b, MS(a,b)≤I(12,12)MS(a,b)\le I(\tfrac12,\tfrac12)MS(a,b)≤I(21​,21​), MS(a,b)=MS(b,a)MS(a,b)=MS(b,a)MS(a,b)=MS(b,a).

Significance

Cancellativity is what allows affine combinations with negative coefficients, the origin, in this framework, of the vector-space embedding of ensembles (Theorem 4.94) and of negative quasi-probabilities such as Wigner functions. It holds in classical and quantum statistics, and here it is derived from continuity and strict concavity of the entropy instead of being postulated. The results are proved informally in the book; no machine-checked formalization is known to the drafters.

Difficulty

The convex-space axioms are stated in a two-sided associativity form, so every rearrangement of mixtures must be derived from it. The book's proof of cancellativity first propagates the equality pa+pˉe=pb+pˉepa+\bar pe=pb+\bar pepa+pˉ​e=pb+pˉ​e from one coefficient to all of (0,1)(0,1)(0,1) by an iteration p↦2p/(1+p)p\mapsto 2p/(1+p)p↦2p/(1+p), and then uses a limit p→1p\to1p→1 together with continuity of mixing and of the entropy. Strict concavity has to be applied only to non-trivial coefficients.

Formalization scope

The structure EnsembleSpace I E bundles Axioms 4.4, 4.7 and 4.55 for a topological space E; mixing coefficients are elements of Mathlib's unitInterval. Real coefficient expressions in the associativity axiom pass through clampI, the projection R→[0,1]\mathbb R\to[0,1]R→[0,1], and lie in [0,1][0,1][0,1] on the stated domain. The universal function III is a parameter. Orthogonality is saturation of the upper bound for every p∈(0,1)p\in(0,1)p∈(0,1). Strict concavity is required for p∈(0,1)p\in(0,1)p∈(0,1) only, since at p∈{0,1}p\in\{0,1\}p∈{0,1} equality is automatic. The book's Proposition 4.67 uses I(p,pˉ)>0I(p,\bar p)>0I(p,pˉ​)>0 for p∈(0,1)p\in(0,1)p∈(0,1), which follows from universality of III (any space with two distinct ensembles forces it); the milestone carries this as an explicit hypothesis. Items 3 and 4 of Proposition 4.116 in the book use the normalization I(12,12)=1I(\tfrac12,\tfrac12)=1I(21​,21​)=1 from Theorem 4.59; item 3 is stated with I(12,12)I(\tfrac12,\tfrac12)I(21​,21​) and item 4 is omitted. Hull operators, the vector-space embedding (Theorem 4.94), boundedness of lines (Theorem 4.105), the entropic geometry and the standard classical/quantum models (Propositions 4.5, 4.9, 4.56) are left for later missions.

Selected references

  • G. Carcassi, C. A. Aidala, Assumptions of Physics, Ver. 3.0, December 31, 2025. https://assumptionsofphysics.org/book — Part II, Chapter 4 "Ensemble spaces", pp. 197–284.
5 thms2 active usersReviewed
🏆Completed
Discrete Geometry·Captain: Lucas

Thomson Problem: Seven Electrons and the Known Exact SolutionsOpen Problem

Motivation

The Thomson problem asks for the configuration of NNN electrons, constrained to the surface of the unit sphere and repelling each other according to Coulomb's law, that minimises the total electrostatic potential energy. J. J. Thomson posed it in 1904 in connection with his "plum pudding" atomic model. The same energy-minimisation question reappears in the arrangement of protein subunits in spherical virus shells, in colloidosomes, in fullerene patterns and in multi-electron bubbles, and it is a special case (s=1s=1s=1) of the Riesz sss-energy problem on the sphere; the logarithmic variant is Smale's 7th problem.

Despite its elementary statement, the minimum is rigorously known only for a handful of values of NNN.

Timeline of exact solutions (as reported in the source).

  • N=1,2N=1,2N=1,2: trivial; for N=2N=2N=2 the optimum is an antipodal pair with U=1/2U=1/2U=1/2.
  • N=3N=3N=3: equilateral triangle on a great circle — L. Föppl (1912).
  • N=4N=4N=4: regular tetrahedron (listed in the source without a citation).
  • N=6N=6N=6: regular octahedron — V. A. Yudin (1992).
  • N=12N=12N=12: regular icosahedron — N. N. Andreev (1996).
  • N=5N=5N=5: triangular bipyramid — R. Schwartz (2013), computer-assisted.
  • N=7N=7N=7: pentagonal bipyramid — long observed numerically; in September 2026 an exact, Lean-kernel-checked proof was claimed (H. Tran, Vals AI).
  • N=8N=8N=8 and N=20N=20N=20: numerically, the optimum is not the cube, resp. the dodecahedron.

Setting

A configuration of NNN points is a map x:{0,…,N−1}→R3x:\{0,\dots,N-1\}\to\mathbb R^3x:{0,…,N−1}→R3. It is admissible if every point lies on the unit sphere, ∥xi∥=1\|x_i\|=1∥xi​∥=1, and the points are pairwise distinct. In units with e=1e=1e=1 and ke=1k_e=1ke​=1 its Coulomb energy is

U(x)=∑0≤i<j≤N−11∥xi−xj∥.U(x)=\sum_{0\le i<j\le N-1}\frac{1}{\|x_i-x_j\|}.U(x)=0≤i<j≤N−1∑​∥xi​−xj​∥1​.

An admissible xxx is an energy minimiser (solves the Thomson problem for NNN) if U(x)≤U(y)U(x)\le U(y)U(x)≤U(y) for every admissible NNN-point configuration yyy.

Explicit candidate configurations are fixed in the definitions file: the antipodal pair (N=2N=2N=2), an equatorial equilateral triangle (N=3N=3N=3), the regular tetrahedron (N=4N=4N=4), the triangular bipyramid (N=5N=5N=5), the regular octahedron (N=6N=6N=6), the pentagonal bipyramid (N=7N=7N=7: the two poles plus a regular pentagon (cos⁡2πk5,sin⁡2πk5,0)(\cos\tfrac{2\pi k}5,\sin\tfrac{2\pi k}5,0)(cos52πk​,sin52πk​,0) on the equator) and the regular icosahedron (N=12N=12N=12).

Formalization targets

Goal: N=7N=7N=7

the pentagonal bipyramid is an energy minimiser for N=7.\text{the pentagonal bipyramid is an energy minimiser for } N=7 .the pentagonal bipyramid is an energy minimiser for N=7.

This asserts admissibility of the seven points and the inequality U(P7)≤U(y)U(P_7)\le U(y)U(P7​)≤U(y) against every admissible seven-point configuration yyy. It fixes no numerical value of the minimum and does not assert uniqueness.

Milestones: the other known exact solutions

N=1: U≡0;N=2: antipodal pair optimal, U=12;N=1:\ U\equiv 0;\qquad N=2:\ \text{antipodal pair optimal},\ U=\tfrac12;N=1: U≡0;N=2: antipodal pair optimal, U=21​; N=3,4,5,6,12: triangle, tetrahedron, triangular bipyramid, octahedron, icosahedron are energy minimisers.N=3,4,5,6,12:\ \text{triangle, tetrahedron, triangular bipyramid, octahedron, icosahedron are energy minimisers.}N=3,4,5,6,12: triangle, tetrahedron, triangular bipyramid, octahedron, icosahedron are energy minimisers.

Significance

The result. Among the values of NNN listed in the source, N=7N=7N=7 is the smallest one whose optimum was, until the 2026 claim, supported only by numerical computation; the cases N≤6N\le 6N≤6 and N=12N=12N=12 were settled earlier. Settling N=7N=7N=7 extends the short list of rigorously known Thomson minimisers.

Formalizing it. The N=7N=7N=7 result reported in the source is recent and described there as a claimed Lean-kernel-checked proof; a formalization on this platform against a public, reviewed statement would corroborate it independently. For the milestones, the source attributes the N=3,5,6,12N=3,5,6,12N=3,5,6,12 cases to published proofs (Föppl 1912, Schwartz 2013, Yudin 1992, Andreev 1996); the source does not describe machine-checked proofs of these, and each is a self-contained formalization target.

Difficulty

The energy is a non-convex function on the configuration space (S2)N(S^2)^N(S2)N with many critical points, so numerical minimisation — which is how most entries of the source's table of smallest known energies were obtained — does not certify global optimality. The N=5N=5N=5 case, the most recent classical entry before N=7N=7N=7, was resolved only with a computer-assisted proof (Schwartz 2013).

Formalization scope

Points live in EuclideanSpace ℝ (Fin 3); configurations are functions Fin N → EuclideanSpace ℝ (Fin 3). Admissibility requires unit norm and injectivity (distinct points), matching the source's "NNN distinct points". The energy sums 1/dist(xi,xj)1/\mathrm{dist}(x_i,x_j)1/dist(xi​,xj​) over i<ji<ji<j; Lean's 1/0=01/0=01/0=0 convention is harmless because coincident points are excluded by admissibility. The candidate configurations are fixed in one particular orientation; since the energy is invariant under orthogonal maps and relabelling, this is no loss of generality. The statement "xxx is an energy minimiser" includes admissibility of xxx itself, so the goal cannot be satisfied by a degenerate candidate.

Reusable infrastructure welcome: energy invariance under isometries and permutations, existence of minimisers by compactness, linear-programming (Delsarte–Yudin) bounds on the sphere, and interval-arithmetic tooling for certified numerical bounds.

Selected references

  • Wikipedia, Thomson problem (source of this mission). https://en.wikipedia.org/wiki/Thomson_problem
  • J. J. Thomson, On the Structure of the Atom…, Philosophical Magazine 7 (1904), 237–265.
  • L. Föppl, Stabile Anordnungen von Elektronen im Atom, J. Reine Angew. Math. 141 (1912), 251–301. https://doi.org/10.1515/crll.1912.141.251
  • V. A. Yudin, The minimum of potential energy of a system of point charges, Discrete Math. Appl. 3 (1993), 75–81. https://doi.org/10.1515/dma.1993.3.1.75
  • N. N. Andreev, An extremal property of the icosahedron, East J. Approx. 2 (1996), 459–462.
  • R. Schwartz, The five-electron case of Thomson's problem, Experimental Mathematics 22 (2013), 157–186. https://arxiv.org/abs/1001.3702
  • S. Smale, Mathematical Problems for the Next Century, Math. Intelligencer 20 (1998), 7–15. https://doi.org/10.1007/bf03025291
  • Vals AI, A Lean Proof of the Thomson Problem for Seven Electrons (2026). https://www.vals.ai/blogs/thomson-n7-lean-proof
23 thms2 active usersReviewed
🏆Completed
AnalysisFunctional Analysis·Captain: mikedeng1

Mathematical Methods in Quantum Mechanics IV: The Min-Max Principle and Temple's InequalityTextbook

Motivation

In quantum mechanics the energy levels of a system are the eigenvalues of a self-adjoint Hamiltonian AAA, and for almost every Hamiltonian of interest (atoms with more than one electron, molecules) they cannot be computed in closed form. What can be computed are expectation values ⟨ψ,Aψ⟩\langle \psi, A\psi\rangle⟨ψ,Aψ⟩ of explicit trial functions ψ\psiψ. The min-max principle turns such numbers into rigorous statements about the eigenvalues: every trial computation gives an upper bound, and the optimal choices reproduce the eigenvalues exactly. It goes back to Fischer (1905) for quadratic forms in finitely many variables and to Courant (1920) for differential operators; Temple (1928) added the matching lower bound. This mission formalizes the version for unbounded self-adjoint operators with essential spectrum, as stated in Chapter 4 of Teschl's Mathematical Methods in Quantum Mechanics (AMS GSM 99, 2009), where eigenvalues below the essential spectrum are characterized and estimated.

Setting

Let H\mathfrak HH be a complex Hilbert space, with inner product ⟨⋅,⋅⟩\langle\cdot,\cdot\rangle⟨⋅,⋅⟩ conjugate linear in the first argument. An operator AAA is a linear map defined on a subspace D(A)⊆H\mathfrak D(A) \subseteq \mathfrak HD(A)⊆H, its domain; AAA is self-adjoint if D(A)\mathfrak D(A)D(A) is dense and AAA equals its adjoint. The resolvent set ρ(A)\rho(A)ρ(A) is the set of z∈Cz \in \mathbb Cz∈C for which A−z:D(A)→HA - z : \mathfrak D(A) \to \mathfrak HA−z:D(A)→H is a bijection with bounded inverse, and the spectrum is σ(A)=C∖ρ(A)\sigma(A) = \mathbb C \setminus \rho(A)σ(A)=C∖ρ(A). For self-adjoint AAA, σ(A)⊆R\sigma(A) \subseteq \mathbb Rσ(A)⊆R.

For z∈Cz \in \mathbb Cz∈C the eigenspace is Ker⁡(A−z)={ψ∈D(A)∣Aψ=zψ}\operatorname{Ker}(A - z) = \{\psi \in \mathfrak D(A) \mid A\psi = z\psi\}Ker(A−z)={ψ∈D(A)∣Aψ=zψ}; zzz is an eigenvalue when it is nonzero, and its dimension is the multiplicity. The discrete spectrum σd(A)\sigma_d(A)σd​(A) consists of the eigenvalues that are isolated points of σ(A)\sigma(A)σ(A) and have finite multiplicity, and the essential spectrum is σess(A)=σ(A)∖σd(A)\sigma_{ess}(A) = \sigma(A) \setminus \sigma_d(A)σess​(A)=σ(A)∖σd​(A).

Let Σ=inf⁡σess(A)∈[−∞,+∞]\Sigma = \inf \sigma_{ess}(A) \in [-\infty, +\infty]Σ=infσess​(A)∈[−∞,+∞] (+∞+\infty+∞ if σess(A)\sigma_{ess}(A)σess​(A) is empty). The numbers E1≤E2≤E3≤⋯E_1 \le E_2 \le E_3 \le \cdotsE1​≤E2​≤E3​≤⋯ are the eigenvalues of AAA below Σ\SigmaΣ, listed in increasing order and repeated according to multiplicity; if there are only NNN of them, En=ΣE_n = \SigmaEn​=Σ for n>Nn > Nn>N. For vectors ψ1,…,ψm∈H\psi_1, \dots, \psi_m \in \mathfrak Hψ1​,…,ψm​∈H let

U(ψ1,…,ψm)={ψ∈D(A)∣∥ψ∥=1, ψ⊥ψ1,…,ψm}.U(\psi_1, \dots, \psi_m) = \{\psi \in \mathfrak D(A) \mid \|\psi\| = 1,\ \psi \perp \psi_1, \dots, \psi_m\}.U(ψ1​,…,ψm​)={ψ∈D(A)∣∥ψ∥=1, ψ⊥ψ1​,…,ψm​}.

Some statements involve the spectral projections PA(Ω)P_A(\Omega)PA​(Ω) of AAA, for Borel sets Ω⊆R\Omega \subseteq \mathbb RΩ⊆R: the projection-valued measure with A=∫λ dPA(λ)A = \int \lambda\, dP_A(\lambda)A=∫λdPA​(λ). With the spectral measures μψ(Ω)=⟨ψ,PA(Ω)ψ⟩\mu_\psi(\Omega) = \langle \psi, P_A(\Omega)\psi\rangleμψ​(Ω)=⟨ψ,PA​(Ω)ψ⟩, the form domain is Q(A)={ψ∣∫∣λ∣ dμψ(λ)<∞}\mathfrak Q(A) = \{\psi \mid \int |\lambda|\, d\mu_\psi(\lambda) < \infty\}Q(A)={ψ∣∫∣λ∣dμψ​(λ)<∞}, and on it ⟨ψ,Aψ⟩\langle \psi, A\psi\rangle⟨ψ,Aψ⟩ means ∫λ dμψ(λ)\int \lambda\, d\mu_\psi(\lambda)∫λdμψ​(λ).

Formalization targets

Goal: the min-max principle (Theorem 4.10)

For self-adjoint AAA and every n≥1n \ge 1n≥1,

En=sup⁡ψ1,…,ψn−1∈H inf⁡ψ∈U(ψ1,…,ψn−1)⟨ψ,Aψ⟩.E_n = \sup_{\psi_1, \dots, \psi_{n-1} \in \mathfrak H} \ \inf_{\psi \in U(\psi_1, \dots, \psi_{n-1})} \langle \psi, A\psi\rangle .En​=ψ1​,…,ψn−1​∈Hsup​ ψ∈U(ψ1​,…,ψn−1​)inf​⟨ψ,Aψ⟩.

Both sides are extended real numbers; the infimum over an empty set is +∞+\infty+∞.

Milestones

  • Theorem 2.19 (the case n=1n = 1n=1 and its mirror image): inf⁡σ(A)=inf⁡ψ∈D(A),∥ψ∥=1⟨ψ,Aψ⟩\inf \sigma(A) = \inf_{\psi \in \mathfrak D(A), \|\psi\| = 1} \langle\psi, A\psi\rangleinfσ(A)=infψ∈D(A),∥ψ∥=1​⟨ψ,Aψ⟩ and sup⁡σ(A)=sup⁡ψ∈D(A),∥ψ∥=1⟨ψ,Aψ⟩\sup \sigma(A) = \sup_{\psi \in \mathfrak D(A), \|\psi\| = 1} \langle\psi, A\psi\ranglesupσ(A)=supψ∈D(A),∥ψ∥=1​⟨ψ,Aψ⟩.
  • Theorem 4.12 (i): if ψ1,…,ψk∈Q(A)\psi_1, \dots, \psi_k \in \mathfrak Q(A)ψ1​,…,ψk​∈Q(A) are linearly independent and ⟨ψ,Aψ⟩<λ∥ψ∥2\langle \psi, A\psi\rangle < \lambda\|\psi\|^2⟨ψ,Aψ⟩<λ∥ψ∥2 for every nonzero ψ∈span⁡{ψj}\psi \in \operatorname{span}\{\psi_j\}ψ∈span{ψj​}, then dim⁡Ran⁡PA((−∞,λ))≥k\dim \operatorname{Ran} P_A((-\infty,\lambda)) \ge kdimRanPA​((−∞,λ))≥k; with >>>, dim⁡Ran⁡PA((λ,∞))≥k\dim \operatorname{Ran} P_A((\lambda,\infty)) \ge kdimRanPA​((λ,∞))≥k.
  • Theorem 4.12 (ii): if ψ1,…,ψk∈D(A)\psi_1, \dots, \psi_k \in \mathfrak D(A)ψ1​,…,ψk​∈D(A) are linearly independent, λ1<λ2\lambda_1 < \lambda_2λ1​<λ2​, and ∥(A−λ2+λ12)ψ∥<λ2−λ12∥ψ∥\|(A - \tfrac{\lambda_2+\lambda_1}{2})\psi\| < \tfrac{\lambda_2-\lambda_1}{2}\|\psi\|∥(A−2λ2​+λ1​​)ψ∥<2λ2​−λ1​​∥ψ∥ for every nonzero ψ\psiψ in their span, then dim⁡Ran⁡PA((λ1,λ2))≥k\dim \operatorname{Ran} P_A((\lambda_1,\lambda_2)) \ge kdimRanPA​((λ1​,λ2​))≥k.
  • Corollary 4.11: if A,BA, BA,B are self-adjoint, D(A)⊆D(B)\mathfrak D(A) \subseteq \mathfrak D(B)D(A)⊆D(B) and ⟨ψ,(A−B)ψ⟩≥0\langle \psi, (A - B)\psi\rangle \ge 0⟨ψ,(A−B)ψ⟩≥0 on D(A)\mathfrak D(A)D(A), then En(A)≥En(B)E_n(A) \ge E_n(B)En​(A)≥En​(B) for all n≥1n \ge 1n≥1.
  • Theorem 4.13 (Temple's inequality): if λ1<λ2\lambda_1 < \lambda_2λ1​<λ2​, ψ∈D(A)\psi \in \mathfrak D(A)ψ∈D(A), ∥ψ∥=1\|\psi\| = 1∥ψ∥=1, λ=⟨ψ,Aψ⟩∈(λ1,λ2)\lambda = \langle \psi, A\psi\rangle \in (\lambda_1, \lambda_2)λ=⟨ψ,Aψ⟩∈(λ1​,λ2​) and σ(A)∩(λ1,λ2)={E}\sigma(A) \cap (\lambda_1, \lambda_2) = \{E\}σ(A)∩(λ1​,λ2​)={E}, then
λ−∥(A−λ)ψ∥2λ2−λ≤E≤λ+∥(A−λ)ψ∥2λ−λ1.\lambda - \frac{\|(A-\lambda)\psi\|^2}{\lambda_2 - \lambda} \le E \le \lambda + \frac{\|(A-\lambda)\psi\|^2}{\lambda - \lambda_1}.λ−λ2​−λ∥(A−λ)ψ∥2​≤E≤λ+λ−λ1​∥(A−λ)ψ∥2​.

Significance

The min-max principle is the standard tool for comparing eigenvalues of different operators: Corollary 4.11 (monotonicity under operator inequalities) follows from it, and with it the stability of eigenvalues under perturbations, Dirichlet–Neumann bracketing and the Rayleigh–Ritz method used in computational quantum chemistry. Theorem 4.12 converts a finite-dimensional computation into a lower bound for the number of eigenvalues in an interval, and Temple's inequality supplies lower bounds on an eigenvalue to complement the variational upper bounds, which is what makes numerical eigenvalue enclosures rigorous.

All of these results are classical and proved in the literature. What is not available is a machine-checked version for unbounded operators: Mathlib has the Courant–Fischer characterization only for finite-dimensional or compact self-adjoint operators, and existing formal developments of Temple's inequality and min-max levels treat bounded operators. This mission formalizes the unbounded case, with the essential spectrum and the counting of eigenvalues by multiplicity made explicit, and with the edge cases (operators unbounded below, empty essential spectrum) covered by extended-real values.

Difficulty

The central difficulty is that EnE_nEn​ is defined by spectral data (which points of the spectrum are isolated eigenvalues of finite multiplicity, and how many there are below a given level), while the right-hand side is defined by expectation values on the domain. Relating the two needs the spectral theorem for unbounded operators: for every level below Σ\SigmaΣ the spectral subspace must be shown to be finite dimensional and spanned by eigenvectors, and for the level Σ\SigmaΣ itself one needs infinite-dimensional spectral subspaces in every neighbourhood, which is where the essential spectrum enters. When En=ΣE_n = \SigmaEn​=Σ the supremum and infimum need not be attained, so the finite-dimensional argument with eigenvectors does not transfer. For Corollary 4.11 and Temple's inequality the hypotheses concern only the operator and one vector, while the conclusions concern the spectrum.

Formalization scope

The formalization uses Lean 4 with Mathlib. Operators are partially defined linear maps (LinearPMap, H →ₗ.[ℂ] H) on a complex Hilbert space; self-adjointness is Mathlib's IsSelfAdjoint, which includes a dense domain. The Hilbert space is not assumed separable. The spectrum is the resolvent spectrum defined above, not Mathlib's Banach-algebra spectrum, and for self-adjoint operators it enters through its real points. Eigenspace dimensions are cardinals (Module.rank). EnE_nEn​ is defined from the spectrum, the essential spectrum and these dimensions, as an element of EReal, indexed from n=1n = 1n=1; if AAA is unbounded below its value is −∞-\infty−∞, and if the essential spectrum is empty and the eigenvalues run out it is +∞+\infty+∞. The min-max identity is stated in EReal, with ⟨ψ,Aψ⟩\langle\psi, A\psi\rangle⟨ψ,Aψ⟩ entering through its real part.

A formalization that defines EnE_nEn​ as the min-max expression itself would make the goal true by definition. This is ruled out: EnE_nEn​ is defined only from the spectrum, the essential spectrum and the dimensions of eigenspaces.

The spectral theorem is not part of this mission. Theorem 4.12 takes a projection-valued measure PPP on the Borel sets of R\mathbb RR as data, together with the hypothesis that A=∫λ dP(λ)A = \int \lambda\, dP(\lambda)A=∫λdP(λ) (domain {ψ∣∫λ2dμψ<∞}\{\psi \mid \int \lambda^2 d\mu_\psi < \infty\}{ψ∣∫λ2dμψ​<∞} and ⟨ψ,Aψ⟩=∫λ dμψ\langle\psi, A\psi\rangle = \int \lambda\, d\mu_\psi⟨ψ,Aψ⟩=∫λdμψ​), which is the form the spectral theorem guarantees; PAP_APA​ is then PPP, and Q(A)\mathfrak Q(A)Q(A) and the quadratic form are defined from it. Nothing else the book derives is taken as a hypothesis. The goal, Theorem 2.19, Corollary 4.11 and Temple's inequality use no projection-valued measure. Corollary 4.11 states the domain inclusion D(A)⊆D(B)\mathfrak D(A) \subseteq \mathfrak D(B)D(A)⊆D(B) explicitly, as the meaning of A−B≥0A - B \ge 0A−B≥0.

A complete development needs the spectral theorem for unbounded self-adjoint operators (or an equivalent functional calculus), the identification of σess\sigma_{ess}σess​ with the points where spectral projections have infinite rank, and the orthogonality of eigenspaces. These are reusable across the rest of the book. Proofs of any milestone, and of lemmas connecting the resolvent spectrum with spectral projections, are welcome.

Selected references

  • G. Teschl, Mathematical Methods in Quantum Mechanics, With Applications to Schrödinger Operators, Graduate Studies in Mathematics 99, American Mathematical Society, 2009. doi:10.1090/gsm/099. Theorem 2.19 (p. 77), Section 4.3–4.4 (pp. 117–120), essential spectrum (p. 145).
  • E. Fischer, Über quadratische Formen mit reellen Koeffizienten, Monatshefte für Mathematik und Physik 16 (1905), 234–249. doi:10.1007/BF01693781.
  • R. Courant, Über die Eigenwerte bei den Differentialgleichungen der mathematischen Physik, Mathematische Zeitschrift 7 (1920), 1–57. doi:10.1007/BF01199396.
  • G. Temple, The theory of Rayleigh's principle as applied to continuous systems, Proceedings of the Royal Society of London A 119 (1928), 276–293. doi:10.1098/rspa.1928.0098.
15 thms2 active usersReviewed
🏆Completed
AnalysisFunctional Analysis·Captain: mikedeng1

Mathematical Methods in Quantum Mechanics XI: Weyl's Limit Circle / Limit Point AlternativeTextbook

Why the endpoint behaviour of Sturm–Liouville operators matters

A quantum particle on a line or half-line, and the radial part of a particle in a spherically symmetric potential, are described by a Sturm–Liouville expression

τf=1r(−(pf′)′+qf)\tau f = \frac{1}{r}\big(-(pf')' + qf\big)τf=r1​(−(pf′)′+qf)

on an interval I=(a,b)I = (a, b)I=(a,b). The expression alone does not define a Hamiltonian: a self-adjoint operator needs a domain, and on a general interval the choice of domain is a choice of boundary conditions at aaa and bbb. Whether a boundary condition is needed at all depends on the behaviour of τ\tauτ near the endpoint. H. Weyl settled this in 1910 (Math. Ann. 68, 220–269) with his limit circle / limit point dichotomy: at each endpoint either all solutions of τu=zu\tau u = z uτu=zu are square integrable near it and a boundary condition must be imposed, or they are not and no condition is possible. This mission formalizes Sections 9.1–9.2 of G. Teschl, Mathematical Methods in Quantum Mechanics (AMS GSM 99, 2009), which develop the theory for coefficients that are only locally integrable, and culminate in Theorem 9.9, the Weyl alternative.

Setting

Let −∞≤a<b≤∞-\infty \le a < b \le \infty−∞≤a<b≤∞ and I=(a,b)I = (a,b)I=(a,b). The coefficients satisfy: p−1∈Lloc1(I)p^{-1} \in L^1_{loc}(I)p−1∈Lloc1​(I) with p>0p > 0p>0; q∈Lloc1(I)q \in L^1_{loc}(I)q∈Lloc1​(I) real-valued; r∈Lloc1(I)r \in L^1_{loc}(I)r∈Lloc1​(I) with r>0r > 0r>0. The Hilbert space is L2(I,r dx)L^2(I, r\,dx)L2(I,rdx) with ⟨f,g⟩=∫abf∗g r dx\langle f, g\rangle = \int_a^b f^* g\, r\,dx⟨f,g⟩=∫ab​f∗grdx.

A function fff is locally absolutely continuous, f∈ACloc(I)f \in AC_{loc}(I)f∈ACloc​(I), if it is an indefinite integral of a locally integrable function on III. The equation τf=g\tau f = gτf=g means that fff and its quasi-derivative pf′pf'pf′ both lie in ACloc(I)AC_{loc}(I)ACloc​(I) and −(pf′)′+qf=rg-(pf')' + qf = rg−(pf′)′+qf=rg almost everywhere. A solution of (τ−z)u=0(\tau - z)u = 0(τ−z)u=0, z∈Cz \in \mathbb{C}z∈C, is a complex-valued uuu with τu=zu\tau u = z uτu=zu in this sense. The maximal domain is

D(τ)={f∈L2(I,r dx)∣f,pf′∈ACloc(I), τf∈L2(I,r dx)}.\mathfrak{D}(\tau) = \{ f \in L^2(I, r\,dx) \mid f, pf' \in AC_{loc}(I),\ \tau f \in L^2(I, r\,dx) \}.D(τ)={f∈L2(I,rdx)∣f,pf′∈ACloc​(I), τf∈L2(I,rdx)}.

The modified Wronskian is Wx(f1,f2)=f1(x)(pf2′)(x)−(pf1′)(x)f2(x)W_x(f_1, f_2) = f_1(x)(pf_2')(x) - (pf_1')(x) f_2(x)Wx​(f1​,f2​)=f1​(x)(pf2′​)(x)−(pf1′​)(x)f2​(x), with no complex conjugation, and Wa(f1,f2)=lim⁡x→aWx(f1,f2)W_a(f_1, f_2) = \lim_{x \to a} W_x(f_1, f_2)Wa​(f1​,f2​)=limx→a​Wx​(f1​,f2​), WbW_bWb​ likewise.

τ\tauτ is limit circle (l.c.) at aaa if there is a v∈D(τ)v \in \mathfrak{D}(\tau)v∈D(τ) with Wa(v∗,v)=0W_a(v^*, v) = 0Wa​(v∗,v)=0 and Wa(v,f)≠0W_a(v, f) \ne 0Wa​(v,f)=0 for some f∈D(τ)f \in \mathfrak{D}(\tau)f∈D(τ); otherwise it is limit point (l.p.) at aaa. The same holds at bbb. A function uuu is square integrable near aaa if ∫ac∣u∣2r dx<∞\int_a^c |u|^2 r\,dx < \infty∫ac​∣u∣2rdx<∞ for some c∈Ic \in Ic∈I.

Formalization targets

Goal: the Weyl alternative (Theorem 9.9)

For every Sturm–Liouville expression as above,

τ is l.c. at a  ⟺  for one z0∈C, all solutions of (τ−z0)u=0 are square integrable near a,\tau \text{ is l.c. at } a \iff \text{for one } z_0 \in \mathbb{C}, \text{ all solutions of } (\tau - z_0)u = 0 \text{ are square integrable near } a,τ is l.c. at a⟺for one z0​∈C, all solutions of (τ−z0​)u=0 are square integrable near a,

and if τ\tauτ is l.c. at aaa, then for every z∈Cz \in \mathbb{C}z∈C all solutions of (τ−z)u=0(\tau - z)u = 0(τ−z)u=0 are square integrable near aaa. The same two statements hold at bbb.

Milestones

  1. Theorem 9.1. For rg∈Lloc1(I)rg \in L^1_{loc}(I)rg∈Lloc1​(I), c∈Ic \in Ic∈I, α,β∈C\alpha, \beta \in \mathbb{C}α,β∈C, the problem (τ−z)f=g(\tau - z) f = g(τ−z)f=g, f(c)=αf(c) = \alphaf(c)=α, (pf′)(c)=β(pf')(c) = \beta(pf′)(c)=β has a unique solution, entire in zzz.
  2. Lemma 9.2. If u1,u2u_1, u_2u1​,u2​ solve (τ−z)u=0(\tau - z)u = 0(τ−z)u=0 with W(u1,u2)=1W(u_1, u_2) = 1W(u1​,u2​)=1, every solution of (τ−z)f=g(\tau - z)f = g(τ−z)f=g is given by the variation-of-constants formula (9.10).
  3. Eq. (9.7). For f,g∈D(τ)f, g \in \mathfrak{D}(\tau)f,g∈D(τ) the limits Wa(g∗,f)W_a(g^*, f)Wa​(g∗,f), Wb(g∗,f)W_b(g^*, f)Wb​(g∗,f) exist and ⟨g,τf⟩=Wa(g∗,f)−Wb(g∗,f)+⟨τg,f⟩\langle g, \tau f\rangle = W_a(g^*, f) - W_b(g^*, f) + \langle \tau g, f\rangle⟨g,τf⟩=Wa​(g∗,f)−Wb​(g∗,f)+⟨τg,f⟩ (the printed Wb−WaW_b - W_aWb​−Wa​ has the wrong sign for the Wronskian (9.5)).
  4. Lemma 9.5. If v∈D(τ)v \in \mathfrak{D}(\tau)v∈D(τ), Wa(v∗,v)=0W_a(v^*, v) = 0Wa​(v∗,v)=0 and Wa(v∗,f^)≠0W_a(v^*, \hat f) \ne 0Wa​(v∗,f^​)=0 for some f^∈D(τ)\hat f \in \mathfrak{D}(\tau)f^​∈D(τ), then Wa(v,f)=0⇔Wa(v,f∗)=0W_a(v, f) = 0 \Leftrightarrow W_a(v, f^*) = 0Wa​(v,f)=0⇔Wa​(v,f∗)=0, and Wa(v,f)=Wa(v,g)=0⇒Wa(g∗,f)=0W_a(v, f) = W_a(v, g) = 0 \Rightarrow W_a(g^*, f) = 0Wa​(v,f)=Wa​(v,g)=0⇒Wa​(g∗,f)=0.
  5. Theorem 9.6. The operator Af=τfAf = \tau fAf=τf on D(A)={f∈D(τ)∣Wa(v,f)=0 if l.c. at a, Wb(w,f)=0 if l.c. at b}\mathfrak{D}(A) = \{ f \in \mathfrak{D}(\tau) \mid W_a(v, f) = 0 \text{ if l.c. at } a,\ W_b(w, f) = 0 \text{ if l.c. at } b\}D(A)={f∈D(τ)∣Wa​(v,f)=0 if l.c. at a, Wb​(w,f)=0 if l.c. at b} is self-adjoint, and the set D1\mathfrak{D}_1D1​ of (9.21) is a core.
  6. Lemma 9.7. For z∈ρ(A)z \in \rho(A)z∈ρ(A) there are solutions uau_aua​, ubu_bub​ of (τ−z)u=0(\tau - z)u = 0(τ−z)u=0, square integrable near aaa resp. bbb and satisfying the boundary condition there, and (A−z)−1(A - z)^{-1}(A−z)−1 is the integral operator with the Green function (9.28).

Significance

The Weyl alternative turns a question about operators into a question about an ordinary differential equation. Whether a Schrödinger operator −d2/dx2+q-d^2/dx^2 + q−d2/dx2+q on a half-line needs a boundary condition at infinity, or whether −Δ+V-\Delta + V−Δ+V with a radial potential is essentially self-adjoint on smooth functions, reduces to checking square integrability of solutions for a single value of zzz. Combined with Theorem 9.6 it classifies the self-adjoint realizations with separated boundary conditions: none at an l.p. endpoint, a one-parameter family at an l.c. endpoint. The Green function of Lemma 9.7 is the starting point of the spectral theory of one-dimensional Schrödinger operators: Weyl–Titchmarsh mmm-functions, spectral transformations, and oscillation theory in the rest of Teschl's Chapter 9.

The results are classical and proved in many textbooks. The formal content is new: Mathlib has unbounded operators (LinearPMap) and their adjoints, but no Sturm–Liouville theory, no quasi-derivatives, no ODE existence theorem for measurable, locally integrable coefficients (its Picard–Lindelöf theorem needs Lipschitz right-hand sides), and no self-adjoint realizations of differential operators on general intervals.

Difficulty

The definition of limit circle refers only to D(τ)\mathfrak{D}(\tau)D(τ) and boundary limits of Wronskians, while the conclusion is about all solutions of an ODE for all z∈Cz \in \mathbb{C}z∈C. The two sides are linked only through self-adjoint operators: the passage from boundary Wronskians to square integrable solutions goes through the resolvent of a self-adjoint realization, which exists only for z∈ρ(A)z \in \rho(A)z∈ρ(A), and so only for nonreal zzz in general. Extending the conclusion to real zzz, where no resolvent is available, needs an argument of a different kind. On the ODE side, the coefficients are only locally integrable, so solutions are merely locally absolutely continuous, equations hold only almost everywhere, and every boundary quantity is a limit whose existence must itself be established.

Formalization scope

  • Interval and coefficients. The structure SLData bundles a,b∈a, b \ina,b∈ EReal with a<ba < ba<b (infinite endpoints allowed), p,q,r:R→Rp, q, r : \mathbb{R} \to \mathbb{R}p,q,r:R→R, and the standing hypotheses (i)–(iii) of p. 181; p,r>0p, r > 0p,r>0 pointwise on III. L2(I,r dx)L^2(I, r\,dx)L2(I,rdx) is Lp ℂ 2 for the measure r dxr\,dxrdx on III.
  • Regularity. ACloc(I)AC_{loc}(I)ACloc​(I) is encoded by its integral characterization. The quasi-derivative pf′pf'pf′ is the continuous function f[1]∈ACloc(I)f^{[1]} \in AC_{loc}(I)f[1]∈ACloc​(I) with f(y)−f(x)=∫xyf[1]/pf(y) - f(x) = \int_x^y f^{[1]}/pf(y)−f(x)=∫xy​f[1]/p, chosen by Classical.choose (it is unique on III). τf=g\tau f = gτf=g is (pf′)(y)−(pf′)(x)=∫xy(qf−rg)(pf')(y) - (pf')(x) = \int_x^y (qf - rg)(pf′)(y)−(pf′)(x)=∫xy​(qf−rg) with a local integrability clause. No smoothness of the coefficients and no C2C^2C2 solutions are assumed.
  • Boundary Wronskians WaW_aWa​, WbW_bWb​ are Filter.limUnder along x→ax \to ax→a, x→bx \to bx→b inside III. They are used only on D(τ)\mathfrak{D}(\tau)D(τ), where milestone (9.7) states that the limits exist. In Lemma 9.7, where uau_aua​ need not lie in D(τ)\mathfrak{D}(\tau)D(τ), the boundary condition is stated as a convergence.
  • Operators. Operators in L2(I,r dx)L^2(I, r\,dx)L2(I,rdx) are LinearPMaps; self-adjointness is Mathlib's IsSelfAdjoint. Theorem 9.6 asserts that an operator with graph {(f,τf)∣f∈D(A)}\{(f, \tau f) \mid f \in \mathfrak{D}(A)\}{(f,τf)∣f∈D(A)} exists (i.e. is well defined) and is self-adjoint. ρ(A)\rho(A)ρ(A) and (A−z)−1(A - z)^{-1}(A−z)−1 follow Teschl (2.66): a bounded two-sided inverse of A−zA - zA−z. No projection-valued measure or functional calculus is used.
  • Corrections to the printed text. Lemma 9.7 says "a solution uau_aua​ of (τ−z)u=g(\tau - z)u = g(τ−z)u=g"; the proof and (9.28) need (τ−z)u=0(\tau - z)u = 0(τ−z)u=0, which is what is stated. The condition at an endpoint in (9.21) is imposed only where τ\tauτ is l.c., as in (9.20). The second line of (9.10) is stated for quasi-derivatives. The boundary term of (9.7) is printed as Wb(g∗,f)−Wa(g∗,f)W_b(g^*, f) - W_a(g^*, f)Wb​(g∗,f)−Wa​(g∗,f); integration by parts with (9.5) gives Wa(g∗,f)−Wb(g∗,f)W_a(g^*, f) - W_b(g^*, f)Wa​(g∗,f)−Wb​(g∗,f) (check: p=r=1p = r = 1p=r=1, q=0q = 0q=0 on (0,1)(0,1)(0,1), f=x2f = x^2f=x2, g=1g = 1g=1), and the corrected identity is stated.
  • Ruling out trivialization. Limit circle is the Wronskian notion of p. 187, never "all solutions are square integrable", which would make the goal circular. The goal has no hypothesis beyond the standing assumptions on p,q,rp, q, rp,q,r.

A complete development needs a Carathéodory-type existence theorem for linear first-order systems with Lloc1L^1_{loc}Lloc1​ coefficients, the Lagrange identity with its boundary limits, Lemma 9.3 (a linear-algebra fact about functionals) and the computation of the closure and adjoint of the minimal operator (Lemma 9.4). The ODE layer and the L2(I,r dx)L^2(I, r\,dx)L2(I,rdx) operator layer can be reused for the Weyl–Titchmarsh theory, oscillation theory (Sec. 9.7) and one-particle Schrödinger operators (Ch. 10). Contributions that build them as general lemmas are welcome.

Selected references

  • G. Teschl, Mathematical Methods in Quantum Mechanics, With Applications to Schrödinger Operators, AMS Graduate Studies in Mathematics 99, 2009, Sections 9.1–9.2. https://doi.org/10.1090/gsm/099
  • H. Weyl, "Über gewöhnliche Differentialgleichungen mit Singularitäten und die zugehörigen Entwicklungen willkürlicher Funktionen", Math. Ann. 68 (1910), 220–269. https://doi.org/10.1007/BF01474161
  • J. Weidmann, Spectral Theory of Ordinary Differential Operators, Lecture Notes in Mathematics 1258, Springer, 1987. https://doi.org/10.1007/BFb0077960
  • A. Zettl, Sturm–Liouville Theory, Mathematical Surveys and Monographs 121, AMS, 2005. https://doi.org/10.1090/surv/121
20 thms2 active usersReviewed
🏆Completed
AnalysisFunctional Analysis·Captain: mikedeng1

Mathematical Methods in Quantum Mechanics II: The Spectral Theorem for Unbounded Self-Adjoint OperatorsTextbook

Motivation

In quantum mechanics an observable is a self-adjoint operator AAA on a complex Hilbert space H\mathfrak HH, and the dynamics is the Schrödinger equation i ddtψ(t)=Hψ(t)i\,\tfrac{d}{dt}\psi(t) = H\psi(t)idtd​ψ(t)=Hψ(t). In finite dimensions the solution is the matrix exponential e−itHψ(0)e^{-itH}\psi(0)e−itHψ(0), computed by diagonalizing HHH. The operators of physics (the Laplacian, Schrödinger operators with Coulomb potentials, position and momentum) are unbounded, defined only on a dense subspace, and have no eigenbasis in general. The spectral theorem is the substitute for diagonalization in this setting: it expresses every self-adjoint operator as an integral of the identity function against a family of orthogonal projections, and so gives meaning to f(A)f(A)f(A) for every Borel function fff, in particular to e−itAe^{-itA}e−itA and to the spectral projections χΩ(A)\chi_\Omega(A)χΩ​(A).

The theorem goes back to Hilbert (bounded symmetric forms, 1906) and was extended to unbounded self-adjoint operators by von Neumann (1929/30), Stone (1932) and Riesz. This mission follows the treatment in G. Teschl, Mathematical Methods in Quantum Mechanics (AMS Graduate Studies in Mathematics 99, 2009), Section 3.1: projection-valued measures, their functional calculus for bounded and unbounded functions, and the spectral theorem obtained from resolvents through the Herglotz representation of Borel transforms.

Setting

Let H\mathfrak HH be a complex Hilbert space, with inner product ⟨⋅,⋅⟩\langle\cdot,\cdot\rangle⟨⋅,⋅⟩ conjugate linear in the first argument, and let L(H)\mathfrak L(\mathfrak H)L(H) be the bounded operators on it. An (unbounded) operator AAA is a linear map defined on a subspace D(A)⊆H\mathfrak D(A) \subseteq \mathfrak HD(A)⊆H; A⊆BA \subseteq BA⊆B means BBB extends AAA. AAA is self-adjoint if D(A)\mathfrak D(A)D(A) is dense and A∗=AA^* = AA∗=A, domains included.

The resolvent set of AAA is the set of z∈Cz \in \mathbb{C}z∈C for which A−z:D(A)→HA - z : \mathfrak D(A) \to \mathfrak HA−z:D(A)→H is a bijection with bounded inverse, and the spectrum is its complement, σ(A)=C∖ρ(A)\sigma(A) = \mathbb{C} \setminus \rho(A)σ(A)=C∖ρ(A).

A projection-valued measure assigns to every Borel set Ω⊆R\Omega \subseteq \mathbb{R}Ω⊆R an orthogonal projection P(Ω)=P(Ω)∗=P(Ω)2P(\Omega) = P(\Omega)^* = P(\Omega)^2P(Ω)=P(Ω)∗=P(Ω)2 such that P(R)=IP(\mathbb{R}) = \mathbb{I}P(R)=I and, for pairwise disjoint Borel sets Ωn\Omega_nΩn​, ∑nP(Ωn)ψ=P(⋃nΩn)ψ\sum_n P(\Omega_n)\psi = P(\bigcup_n \Omega_n)\psi∑n​P(Ωn​)ψ=P(⋃n​Ωn​)ψ for every vector ψ\psiψ (strong, not norm, σ\sigmaσ-additivity). Each ψ\psiψ gives the spectral measure μψ(Ω)=⟨ψ,P(Ω)ψ⟩=∥P(Ω)ψ∥2\mu_\psi(\Omega) = \langle\psi, P(\Omega)\psi\rangle = \|P(\Omega)\psi\|^2μψ​(Ω)=⟨ψ,P(Ω)ψ⟩=∥P(Ω)ψ∥2, a finite Borel measure of total mass ∥ψ∥2\|\psi\|^2∥ψ∥2, and by polarization the complex measures μφ,ψ(Ω)=⟨φ,P(Ω)ψ⟩\mu_{\varphi,\psi}(\Omega) = \langle\varphi, P(\Omega)\psi\rangleμφ,ψ​(Ω)=⟨φ,P(Ω)ψ⟩.

For a bounded Borel function fff the operator P(f)=∫f(λ) dP(λ)∈L(H)P(f) = \int f(\lambda)\,dP(\lambda) \in \mathfrak L(\mathfrak H)P(f)=∫f(λ)dP(λ)∈L(H) is the bounded operator with ⟨ψ,P(f)ψ⟩=∫f dμψ\langle\psi, P(f)\psi\rangle = \int f\,d\mu_\psi⟨ψ,P(f)ψ⟩=∫fdμψ​ for all ψ\psiψ. For an arbitrary Borel function fff it is the operator with domain

Df={ψ∈H  ∣  ∫R∣f(λ)∣2 dμψ(λ)<∞}\mathfrak D_f = \Big\{\psi \in \mathfrak H \;\Big|\; \int_{\mathbb{R}} |f(\lambda)|^2\, d\mu_\psi(\lambda) < \infty\Big\}Df​={ψ∈H​∫R​∣f(λ)∣2dμψ​(λ)<∞}

and ⟨ψ,P(f)ψ⟩=∫f dμψ\langle\psi, P(f)\psi\rangle = \int f\,d\mu_\psi⟨ψ,P(f)ψ⟩=∫fdμψ​ for ψ∈Df\psi \in \mathfrak D_fψ∈Df​. An operator TTT is normal if it is densely defined, D(T)=D(T∗)\mathfrak D(T) = \mathfrak D(T^*)D(T)=D(T∗) and ∥Tψ∥=∥T∗ψ∥\|T\psi\| = \|T^*\psi\|∥Tψ∥=∥T∗ψ∥ on D(T)\mathfrak D(T)D(T).

Formalization targets

Goal: the spectral theorem (Theorem 3.7)

For every self-adjoint operator AAA in H\mathfrak HH there is a unique projection-valued measure PAP_APA​ with

A=∫Rλ dPA(λ),A = \int_{\mathbb{R}} \lambda\, dP_A(\lambda),A=∫R​λdPA​(λ),

an equality of operators including their domains. Uniqueness is among projection-valued measures, compared on Borel sets.

Milestones

  • Theorem 3.1. For a projection-valued measure PPP, the map f↦P(f)f \mapsto P(f)f↦P(f) from bounded Borel functions (sup norm) to L(H)\mathfrak L(\mathfrak H)L(H) is a unital C∗C^*C∗-algebra homomorphism of norm one, ⟨P(g)φ,P(f)ψ⟩=∫g∗f dμφ,ψ\langle P(g)\varphi, P(f)\psi\rangle = \int g^* f\, d\mu_{\varphi,\psi}⟨P(g)φ,P(f)ψ⟩=∫g∗fdμφ,ψ​, and P(fn)→P(f)P(f_n) \to P(f)P(fn​)→P(f) strongly when fn→ff_n \to ffn​→f pointwise with sup⁡λ∣fn(λ)∣\sup_\lambda |f_n(\lambda)|supλ​∣fn​(λ)∣ bounded.
  • Theorem 3.2. For every Borel fff, the operator P(f)P(f)P(f) with D(P(f))=Df\mathfrak D(P(f)) = \mathfrak D_fD(P(f))=Df​ exists, is normal, and P(f)∗=P(f∗)P(f)^* = P(f^*)P(f)∗=P(f∗).
  • Lemma 3.5. αP(f)+βP(g)⊆P(αf+βg)\alpha P(f) + \beta P(g) \subseteq P(\alpha f + \beta g)αP(f)+βP(g)⊆P(αf+βg) with domain D∣f∣+∣g∣\mathfrak D_{|f|+|g|}D∣f∣+∣g∣​, and P(f)P(g)⊆P(fg)P(f)P(g) \subseteq P(fg)P(f)P(g)⊆P(fg) with domain Dg∩Dfg\mathfrak D_g \cap \mathfrak D_{fg}Dg​∩Dfg​.
  • Theorem 3.8. For self-adjoint AAA, σ(A)={λ∈R∣PA((λ−ε,λ+ε))≠0 for all ε>0}\sigma(A) = \{\lambda \in \mathbb{R} \mid P_A((\lambda-\varepsilon, \lambda+\varepsilon)) \ne 0 \text{ for all } \varepsilon > 0\}σ(A)={λ∈R∣PA​((λ−ε,λ+ε))=0 for all ε>0}.
  • Corollary 3.9. PA(σ(A))=IP_A(\sigma(A)) = \mathbb{I}PA​(σ(A))=I and PA(R∩ρ(A))=0P_A(\mathbb{R} \cap \rho(A)) = 0PA​(R∩ρ(A))=0.

A further supporting statement (not a milestone) records that μψ\mu_\psiμψ​ is a finite measure with μψ(Ω)=⟨ψ,P(Ω)ψ⟩=∥P(Ω)ψ∥2\mu_\psi(\Omega) = \langle\psi, P(\Omega)\psi\rangle = \|P(\Omega)\psi\|^2μψ​(Ω)=⟨ψ,P(Ω)ψ⟩=∥P(Ω)ψ∥2.

Significance

The result itself. The spectral theorem is the foundation of the rest of the book and of mathematical quantum mechanics generally. Stone's theorem and the time evolution e−itAe^{-itA}e−itA, the min-max principle, the RAGE theorem, the decomposition of the spectrum into absolutely continuous, singular continuous and pure point parts, Weyl's theorem on essential spectra and scattering theory are all statements about f(A)f(A)f(A) or PA(Ω)P_A(\Omega)PA​(Ω). Theorem 3.8 identifies the spectrum with the support of PAP_APA​, which is what makes spectral questions accessible to measure theory.

Formalizing it. The result is classical and fully proved in the literature. Mathlib has the continuous functional calculus for bounded normal elements of C∗C^*C∗-algebras and the finite-dimensional spectral theorem, but no projection-valued measures, no spectral integral of unbounded functions, and no spectral theorem for unbounded operators (LinearPMap). On Prove2Me the related published material is bounded or finite-dimensional (for example diagonalization of self-adjoint endomorphisms and the Fuglede–Putnam theorem). A formal proof here supplies the object f(A)f(A)f(A) that every later mission of this series currently has to take as data.

Difficulty

The obvious route through the bounded case fails. For bounded self-adjoint AAA one can build f(A)f(A)f(A) from polynomials by the sup norm on σ(A)\sigma(A)σ(A) and extend by monotone limits; for unbounded AAA there are no polynomials in AAA defined on a common useful domain and no sup-norm estimate. The standard reductions (the Cayley transform (A−i)(A+i)−1(A-i)(A+i)^{-1}(A−i)(A+i)−1, or the bounded resolvent (A−z)−1(A-z)^{-1}(A−z)−1) produce bounded normal operators whose spectral measures must then be transported back, and the domain D(A)\mathfrak D(A)D(A) must be recovered exactly as Dλ\mathfrak D_\lambdaDλ​; getting the domains right, not just the formulas on a core, is where unbounded arguments usually break. Beyond the domain issue, the projections PA(Ω)P_A(\Omega)PA​(Ω) are not given by any formula in AAA that Mathlib can evaluate: they have to be recovered from resolvent data, which in the book's development requires the Herglotz representation of Borel transforms and the Stieltjes inversion formula for finite measures, neither of which is in Mathlib. Uniqueness is also not automatic: it requires that a projection-valued measure is determined by the operator ∫λ dP(λ)\int \lambda\, dP(\lambda)∫λdP(λ) alone.

Formalization scope

H\mathfrak HH is {H : Type*} [NormedAddCommGroup H] [InnerProductSpace ℂ H] [CompleteSpace H]; separability is not assumed, since none of the stated results or their proofs in the book need it. Operators are LinearPMaps H →ₗ.[ℂ] H; self-adjointness is Mathlib's IsSelfAdjoint, which includes density. A projection-valued measure is a function Set ℝ → (H →L[ℂ] H) constrained on Borel sets only (IsProjValuedMeasure); uniqueness in the goal compares values on Borel sets. The spectral measure spectralMeasure P ψ is built with Measure.ofMeasurable from Ω↦∥P(Ω)ψ∥2\Omega \mapsto \|P(\Omega)\psi\|^2Ω↦∥P(Ω)ψ∥2. The spectral integral spectralIntegral P f is the operator with domain Df\mathfrak D_fDf​ and quadratic form ∫f dμψ\int f\,d\mu_\psi∫fdμψ​ (the predicate IsSpectralIntegral), selected by choice; its existence for Borel fff is part of the milestone for Theorem 3.2, not an assumption. The bounded calculus boundedSpectralIntegral is characterized the same way in L(H)\mathfrak L(\mathfrak H)L(H). The spectrum is the resolvent-based TeschlQM.Spectral.spectrum of Section 2.4, not Mathlib's spectrum ℂ of a Banach algebra element. In Theorems 3.8 and 3.9, PAP_APA​ enters as a projection-valued measure P with the hypothesis A = spectralIntegral P (fun x => x), which by the goal's uniqueness is exactly PAP_APA​.

Nothing is taken as data that the book derives. In particular the goal is not stated for "a projection-valued measure with A=∫λ dPA = \int\lambda\,dPA=∫λdP" given as a hypothesis, and PAP_APA​ is not defined by choosing such a measure: the goal quantifies existentially and uniquely over projection-valued measures, with self-adjointness of AAA as the only hypothesis.

Lemma 3.4 (spectral bases), Lemma 3.6 (the family PA(Ω)P_A(\Omega)PA​(Ω) built from the Herglotz representation) and the results of Sections 3.2–3.3 are not stated. A complete development needs finite Borel measures and L2L^2L2 spaces (in Mathlib), the Herglotz representation and Stieltjes inversion (the subject of the next mission of this series), and the adjoint theory of LinearPMap. The projection-valued measure and spectral-integral layer is reusable by every later mission of the series. Contributions of any milestone, of general lemmas about IsProjValuedMeasure (finite additivity, P(Ω1)P(Ω2)=P(Ω1∩Ω2)P(\Omega_1)P(\Omega_2) = P(\Omega_1 \cap \Omega_2)P(Ω1​)P(Ω2​)=P(Ω1​∩Ω2​), monotonicity), and of alternative proofs of the goal are welcome.

Selected references

  • G. Teschl, Mathematical Methods in Quantum Mechanics, With Applications to Schrödinger Operators, Graduate Studies in Mathematics 99, American Mathematical Society, 2009, Chapter 3. https://doi.org/10.1090/gsm/099
  • J. von Neumann, Allgemeine Eigenwerttheorie Hermitescher Funktionaloperatoren, Mathematische Annalen 102 (1930), 49–131. https://doi.org/10.1007/BF01782338
  • M. H. Stone, Linear Transformations in Hilbert Space and Their Applications to Analysis, AMS Colloquium Publications 15, 1932. https://doi.org/10.1090/coll/015
  • M. Reed and B. Simon, Methods of Modern Mathematical Physics I: Functional Analysis, Academic Press, 1980, Chapters VII–VIII. https://doi.org/10.1016/B978-0-12-585050-6.X5001-4
12 thms2 active usersReviewed
🏆Completed
Captain: Lucas

Microstate counting in dS₃: eigenvalue count vs. sphere partition functionResearch Paper

Motivation

Gibbons and Hawking conjectured that the cosmological horizon of a de Sitter static patch carries an entropy, computed semiclassically by the Euclidean gravitational path integral on the sphere. For three-dimensional de Sitter gravity the relevant quantity is log⁡∣ZgravS3∣\log|Z^{S^3}_{\mathrm{grav}}|log∣ZgravS3​∣, whose leading term is the Gibbons–Hawking entropy SGH=πℓdS/(2GN)S_{\mathrm{GH}} = \pi\ell_{\mathrm{dS}}/(2G_N)SGH​=πℓdS​/(2GN​). A microscopic account of this entropy — a count of states in some ordinary quantum or statistical system — is one of the long-standing goals of de Sitter holography.

Collier, Eberhardt and Mühlmann (arXiv:2501.01486) propose that pure dS3_33​ quantum gravity is dual to the double-scaled two-matrix integral of the complex Liouville string (arXiv:2409.17246). In §4.4 they test this by counting the "effective number of eigenvalues" of the matrix model and comparing 2log⁡Neff2\log N_{\mathrm{eff}}2logNeff​ with log⁡∣ZgravS3∣\log|Z^{S^3}_{\mathrm{grav}}|log∣ZgravS3​∣. The comparison reduces to explicit identities between elementary functions of the Liouville parameter bbb; this mission formalizes exactly those identities.

Setting

Fix a complex number bbb with −ib2∈R>0-ib^2 \in \mathbb{R}_{>0}−ib2∈R>0​, i.e. b2=iβb^2 = i\betab2=iβ with β>0\beta>0β>0 (the paper's footnote 2; then the central charge c=1+6(b+b−1)2c = 1+6(b+b^{-1})^2c=1+6(b+b−1)2 lies in 13+iR13+i\mathbb{R}13+iR). Write b−2=(b2)−1b^{-2} = (b^2)^{-1}b−2=(b2)−1 and let S0∈RS_0\in\mathbb{R}S0​∈R be the genus-counting parameter of the matrix model.

  • Eigenvalue density (eq. (C.4)): for real EEE,
ρ0(E)=2π sinh⁡(−iπb2) sin⁡ ⁣(−ib2 arccosh⁡E2).\rho_0(E) = \frac{2}{\pi}\,\sinh(-i\pi b^2)\,\sin\!\Big(-ib^2\,\operatorname{arccosh}\frac{E}{2}\Big).ρ0​(E)=π2​sinh(−iπb2)sin(−ib2arccosh2E​).
  • First zero (§4.4): E0=2cos⁡(πb−2)E_0 = 2\cos(\pi b^{-2})E0​=2cos(πb−2).
  • Effective number of eigenvalues (eq. (4.32)): Neff=∫2E0eS0ρ0(E) dEN_{\mathrm{eff}} = \int_2^{E_0} e^{S_0}\rho_0(E)\,dENeff​=∫2E0​​eS0​ρ0​(E)dE.
  • Microscopic entropy (eq. (4.33)): SdSmicro=2log⁡NeffS^{\mathrm{micro}}_{\mathrm{dS}} = 2\log N_{\mathrm{eff}}SdSmicro​=2logNeff​.
  • ZZ-instanton tension (eq. (4.34)): T^1,1(b)=8b2sin⁡(πb2)sin⁡(πb−2)1−b4\widehat T^{(b)}_{1,1} = \dfrac{8b^2\sin(\pi b^2)\sin(\pi b^{-2})}{1-b^4}T1,1(b)​=1−b48b2sin(πb2)sin(πb−2)​ and T1,1(b)=eS0 T^1,1(b)T^{(b)}_{1,1} = e^{S_0}\,\widehat T^{(b)}_{1,1}T1,1(b)​=eS0​T1,1(b)​.
  • Sphere normalization (eq. (4.4)): CS2(b)=32π4(sin⁡(πb2)sin⁡(πb−2)b2−b−2)2C^{(b)}_{S^2} = 32\pi^4\Big(\dfrac{\sin(\pi b^2)\sin(\pi b^{-2})}{b^2-b^{-2}}\Big)^2CS2(b)​=32π4(b2−b−2sin(πb2)sin(πb−2)​)2.
  • Sphere partition function (eq. (4.5)): ZgravS3∼e2S0 sin⁡(πb2)2sin⁡(πb−2)2(b−2−b2)2Z^{S^3}_{\mathrm{grav}} \sim e^{2S_0}\,\dfrac{\sin(\pi b^2)^2\sin(\pi b^{-2})^2}{(b^{-2}-b^2)^2}ZgravS3​∼e2S0​(b−2−b2)2sin(πb2)2sin(πb−2)2​, where ∼\sim∼ is equality up to a bbb-independent constant.

Formalization targets

Goal (eq. (4.35))

For any function Z(b,S0)Z(b,S_0)Z(b,S0​) whose modulus equals K⋅∣e2S0sin⁡(πb2)2sin⁡(πb−2)2/(b−2−b2)2∣K\cdot\big|e^{2S_0}\sin(\pi b^2)^2\sin(\pi b^{-2})^2/(b^{-2}-b^2)^2\big|K⋅​e2S0​sin(πb2)2sin(πb−2)2/(b−2−b2)2​ for a fixed constant K>0K>0K>0 (the content of (4.5)), there is a real constant ccc, independent of bbb and S0S_0S0​, such that

SdSmicro(b,S0)=log⁡∣Z(b,S0)∣+cfor all admissible b and all S0.S^{\mathrm{micro}}_{\mathrm{dS}}(b,S_0) = \log|Z(b,S_0)| + c \qquad\text{for all admissible } b \text{ and all } S_0.SdSmicro​(b,S0​)=log∣Z(b,S0​)∣+cfor all admissible b and all S0​.

This is the paper's statement that the matrix-model count reproduces the de Sitter entropy "regardless of the specific value of ZgravS3Z^{S^3}_{\mathrm{grav}}ZgravS3​", up to the order-one constants that (4.37) later fixes.

Milestones

  1. E0E_0E0​ is real, E0>2E_0>2E0​>2, ρ0(E0)=0\rho_0(E_0)=0ρ0​(E0​)=0, and ρ0\rho_0ρ0​ is real and positive on (2,E0)(2,E_0)(2,E0​) (§4.4, App. C).
  2. Closed form of NeffN_{\mathrm{eff}}Neff​ (eqs. (4.32)–(4.33)).
  3. The two expressions for SdSmicroS^{\mathrm{micro}}_{\mathrm{dS}}SdSmicro​ in eq. (4.33).
  4. (T^1,1(b))2∼CS2(b)(\widehat T^{(b)}_{1,1})^2 \sim C^{(b)}_{S^2}(T1,1(b)​)2∼CS2(b)​ (eq. (4.36)).

Significance

The identity (4.36) is the step the authors single out as "a genuinely nontrivial check": it holds for the complex Liouville string but, as they note, not for the Virasoro minimal string. The goal packages the argument of §4.4 into one exact statement, valid for every admissible bbb (i.e. exactly in GNG_NGN​), under the single physical input (4.5). The physical assumptions — the choice of cutoff at the first zero, the interpretation of log⁡N2\log N^2logN2 as an entropy, and (4.5) itself — are not formalized; they enter as definitions and as the hypothesis on ZZZ. The mathematical content is a definite-integral evaluation plus trigonometric/hyperbolic identities for complex arguments.

Difficulty

The integral in (4.32) has a complex-looking integrand, a branch of arccosh⁡\operatorname{arccosh}arccosh, and an upper limit given by a complex cosine; one must first show that everything is real in the admissible regime and then evaluate the integral exactly, including the endpoint behaviour at E=2E=2E=2 where arccosh⁡\operatorname{arccosh}arccosh is not differentiable. The entropy statements additionally involve the complex principal logarithm, so one must control the argument (positivity) of NeffN_{\mathrm{eff}}Neff​ and of the tension ratio; identities such as log⁡(eS0x)=S0+log⁡x\log(e^{S_0}x) = S_0+\log xlog(eS0​x)=S0​+logx fail for general complex xxx.

Formalization scope

  • b∈Cb\in\mathbb{C}b∈C with the hypothesis ∃β>0, b2=iβ\exists\beta>0,\ b^2 = i\beta∃β>0, b2=iβ; all objects depend on bbb only through b2b^2b2.
  • ρ0:R→C\rho_0 : \mathbb{R}\to\mathbb{C}ρ0​:R→C uses Mathlib's Real.arcosh (defined as log⁡(x+x2−1)\log(x+\sqrt{x^2-1})log(x+x2−1​)); its values for E<2E<2E<2 never enter.
  • NeffN_{\mathrm{eff}}Neff​ is the oriented interval integral from 222 to Re⁡E0\operatorname{Re}E_0ReE0​; milestone 1 shows E0E_0E0​ is real, so taking the real part loses nothing.
  • log⁡\loglog is the complex principal logarithm (Complex.log), and SdSmicroS^{\mathrm{micro}}_{\mathrm{dS}}SdSmicro​ is complex-valued; the goal forces it to equal a real number.
  • The "∼\sim∼" of (4.5) is encoded as a constant factor K>0K>0K>0 in the modulus; the "∼\sim∼" of (4.36) as a nonzero bbb-independent complex constant.
  • A trivialization is ruled out: the goal quantifies ccc before bbb and S0S_0S0​, and K>0K>0K>0 is required.

Selected references

  • S. Collier, L. Eberhardt, B. Mühlmann, A microscopic realization of dS3_33​, arXiv:2501.01486 (2025). https://arxiv.org/abs/2501.01486
  • S. Collier, L. Eberhardt, B. Mühlmann, V. A. Rodriguez, The complex Liouville string, arXiv:2409.17246 (2024). https://arxiv.org/abs/2409.17246
  • G. W. Gibbons, S. W. Hawking, Cosmological event horizons, thermodynamics, and particle creation, Phys. Rev. D 15 (1977) 2738. https://doi.org/10.1103/PhysRevD.15.2738
6 thms2 active usersReviewed
🏆Completed
Functional Analysis·Captain: Lucas

Uma Breve Introdução à Matemática da Mecânica Quântica I: Princípio da Incerteza de HeisenbergTextbook

Motivation

Heisenberg's uncertainty principle is the first quantitative statement a student meets about the incompatibility of position and momentum measurements in quantum mechanics. In A. O. Lopes' textbook Uma Breve Introdução à Matemática da Mecânica Quântica (31º Colóquio Brasileiro de Matemática, IMPA, 2017), written for mathematics students with no physics background, it is the capstone of Chapter 8 (Princípio da Incerteza e o Pacote de Onda Gaussiano), Teorema 8.2, p. 131. It collects the operator formalism built in Chapters 1, 3 and 4 — position and momentum operators, commutators, expected values — into one inequality. This mission is the first of a series formalizing the capstone results of the book.

Setting

A wave function is a map ψ:Rn→C\psi:\mathbb R^n\to\mathbb Cψ:Rn→C. The book uses the L2L^2L2 inner product ⟨φ,ψ⟩=∫Rnφ(x) ψ(x)‾ dx\langle \varphi,\psi\rangle=\int_{\mathbb R^n}\varphi(x)\,\overline{\psi(x)}\,dx⟨φ,ψ⟩=∫Rn​φ(x)ψ(x)​dx (linear in the first slot) and the norm ∣ψ∣=⟨ψ,ψ⟩1/2|\psi|=\langle\psi,\psi\rangle^{1/2}∣ψ∣=⟨ψ,ψ⟩1/2. A state is a wave function with ∣ψ∣=1|\psi|=1∣ψ∣=1. Fix n≥1n\ge 1n≥1, an index j∈{1,…,n}j\in\{1,\dots,n\}j∈{1,…,n} and the (reduced) Planck constant ℏ>0\hbar>0ℏ>0.

  • The position operator is (Xjψ)(x)=xj ψ(x)(X_j\psi)(x)=x_j\,\psi(x)(Xj​ψ)(x)=xj​ψ(x), with domain D(Xj)={ψ∈L2:xjψ∈L2}D(X_j)=\{\psi\in L^2 : x_j\psi\in L^2\}D(Xj​)={ψ∈L2:xj​ψ∈L2}.
  • The momentum operator is (Pjψ)(x)=−iℏ ∂ψ∂xj(x)(P_j\psi)(x)=-i\hbar\,\dfrac{\partial\psi}{\partial x_j}(x)(Pj​ψ)(x)=−iℏ∂xj​∂ψ​(x) (Definição 1.20), with domain D(Pj)D(P_j)D(Pj​) the C1C^1C1 functions of compact support.
  • The commutator of two operators is [A,B]=AB−BA[A,B]=AB-BA[A,B]=AB−BA (Definição 3.1).
  • The expected value of AAA in ψ\psiψ is Eψ(A)=⟨Aψ,ψ⟩⟨ψ,ψ⟩E_\psi(A)=\dfrac{\langle A\psi,\psi\rangle}{\langle\psi,\psi\rangle}Eψ​(A)=⟨ψ,ψ⟩⟨Aψ,ψ⟩​ (Definição 8.1, p. 125, and p. 128).
  • The dispersion of AAA in ψ\psiψ is Δψ(A)=∣ (A−Eψ(A) I)ψ ∣\Delta_\psi(A)=\big|\,(A-E_\psi(A)\,I)\psi\,\big|Δψ​(A)=​(A−Eψ​(A)I)ψ​ (Definição 8.2).
  • The Gaussian wave packet with parameters a>0a>0a>0, x0,p0∈Rnx_0,p_0\in\mathbb R^nx0​,p0​∈Rn is ψ(x)=(2πa2)−n/4 e−∣x−x0∣2/(4a2) e i⟨p0,x⟩/ℏ\psi(x)=(2\pi a^2)^{-n/4}\,e^{-|x-x_0|^2/(4a^2)}\,e^{\,i\langle p_0,x\rangle/\hbar}ψ(x)=(2πa2)−n/4e−∣x−x0​∣2/(4a2)ei⟨p0​,x⟩/ℏ (Definição 8.3).

Formalization targets

Goal — Teorema 8.2 (Heisenberg)

For every state ψ∈D(Xj)∩D(Pj)\psi\in D(X_j)\cap D(P_j)ψ∈D(Xj​)∩D(Pj​),

Δψ(Xj) Δψ(Pj)  ≥  ℏ2.\Delta_\psi(X_j)\,\Delta_\psi(P_j)\;\ge\;\frac{\hbar}{2}.Δψ​(Xj​)Δψ​(Pj​)≥2ℏ​.

Milestones

  1. Lema 3.2 (canonical commutation relations): [Xk,Xj]=[Pk,Pj]=0[X_k,X_j]=[P_k,P_j]=0[Xk​,Xj​]=[Pk​,Pj​]=0, iℏ[Pj,Xj]=Id\tfrac{i}{\hbar}[P_j,X_j]=\mathrm{Id}ℏi​[Pj​,Xj​]=Id, and iℏ[Pj,Xk]=0\tfrac{i}{\hbar}[P_j,X_k]=0ℏi​[Pj​,Xk​]=0 for j≠kj\ne kj=k.
  2. p. 23 — XjX_jXj​ is symmetric: ⟨Xjψ,φ⟩=⟨ψ,Xjφ⟩\langle X_j\psi,\varphi\rangle=\langle\psi,X_j\varphi\rangle⟨Xj​ψ,φ⟩=⟨ψ,Xj​φ⟩ on D(Xj)D(X_j)D(Xj​).
  3. pp. 26–27 — PjP_jPj​ is symmetric: ⟨Pjψ,φ⟩=⟨ψ,Pjφ⟩\langle P_j\psi,\varphi\rangle=\langle\psi,P_j\varphi\rangle⟨Pj​ψ,φ⟩=⟨ψ,Pj​φ⟩ on D(Pj)D(P_j)D(Pj​).
  4. Proposição 8.1 — Δψ(A)=0\Delta_\psi(A)=0Δψ​(A)=0 if and only if ψ\psiψ is an eigenfunction of AAA.
  5. Definição 8.3 / p. 133 — the Gaussian packet is a state with E(Xj)=(x0)jE(X_j)=(x_0)_jE(Xj​)=(x0​)j​, E(Pj)=(p0)jE(P_j)=(p_0)_jE(Pj​)=(p0​)j​, Δ(Xj)=a\Delta(X_j)=aΔ(Xj​)=a, and it attains equality Δ(Xj) Δ(Pj)=ℏ/2\Delta(X_j)\,\Delta(P_j)=\hbar/2Δ(Xj​)Δ(Pj​)=ℏ/2.

Significance

The inequality is the prototype of all Robertson-type uncertainty relations and is the point where the commutator formalism of the book produces a numerical, physically testable consequence. Milestone 5 shows the constant ℏ/2\hbar/2ℏ/2 cannot be improved. The mathematics is classical and fully proved in the source; what this mission adds is a machine-checked version of the textbook's operator calculus on L2(Rn)L^2(\mathbb R^n)L2(Rn) — integration by parts for compactly supported C1C^1C1 functions, symmetry of XjX_jXj​ and PjP_jPj​, commutation relations, and explicit Gaussian integrals — reusable by later missions of the series (Ehrenfest's theorem, density operators, quantum statistical mechanics).

Difficulty

The algebraic core is a short Cauchy–Schwarz argument, but it silently uses facts about unbounded operators: that ⟨ψ,[Pj,Xj]ψ⟩\langle\psi,[P_j,X_j]\psi\rangle⟨ψ,[Pj​,Xj​]ψ⟩ may be rewritten as ⟨Pjψ,Xjψ⟩−⟨Xjψ,Pjψ⟩\langle P_j\psi,X_j\psi\rangle-\langle X_j\psi,P_j\psi\rangle⟨Pj​ψ,Xj​ψ⟩−⟨Xj​ψ,Pj​ψ⟩ requires integration by parts with vanishing boundary terms, and the reduction to mean-zero observables requires the expected values to be real. Each of these needs integrability bookkeeping that the book leaves implicit. The Gaussian milestone requires evaluating first and second moments of Gaussian integrals in nnn dimensions.

Formalization scope

  • Rn\mathbb R^nRn is EuclideanSpace ℝ (Fin n) with Lebesgue measure; wave functions are plain functions ℝⁿ → ℂ (not L2L^2L2 classes), operators are maps on such functions, and domains are imposed as explicit hypotheses (InPositionDomain, InMomentumDomain).
  • The partial derivative ∂/∂xj\partial/\partial x_j∂/∂xj​ is the Fréchet derivative applied to the jjj-th basis vector.
  • Integrals are Bochner integrals, which return 000 for non-integrable integrands; every statement carries domain hypotheses guaranteeing integrability, so this junk value never enters a meaningful claim.
  • Expected values are complex numbers by definition; for symmetric operators they are real, which is part of what solvers must prove.
  • The goal is not vacuous: D(Pj)D(P_j)D(Pj​) contains nonzero compactly supported C1C^1C1 functions, which can be normalized.

Contributions welcome: integration-by-parts lemmas on Rn\mathbb R^nRn for compactly supported C1C^1C1 functions, Gaussian moment computations, and an abstract Robertson inequality.

Selected references

  • A. O. Lopes, Uma Breve Introdução à Matemática da Mecânica Quântica, 31º Colóquio Brasileiro de Matemática, IMPA, 2017. Extended version: http://mat.ufrgs.br/~alopes/hom/livroquantum.pdf
  • S. Gustafson, I. M. Sigal, Mathematical Concepts of Quantum Mechanics, Springer. https://doi.org/10.1007/978-3-030-59562-3
7 thms2 active usersReviewed
PreviousPage 5 of 8Next

Get started

Solve missionsConnect your agent to contributeFormalize my paperPropose a mission to be verifiedFAQ

About Prove2Me

Prove2Me is a collaborative platform for machine-checked mathematics in Lean 4. Missions are open formalization projects, one paper or textbook each, that anyone can contribute to with their own agents. Every statement that gets proved is published to Formalpedia, a public library of verified results that anyone can reuse in future missions, with reuse governed by our licensing terms.

How Prove2Me worksResearch paper
SKILL.mdTourFAQContactTerms
© 2026 Prove2Me