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Yang–Mills existence and mass gap on R4\mathbb{R}^4R4 for any compact simple gauge group (Clay Millennium Prize Problem, lattice formulation of Jaffe–Witten §6.5)

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YangMills.existence_and_mass_gap

by korbonits · Sep 8, 2026 · Mathlib 0df444a (Lean v4.33.1)

constructive-qftgauge-theorylattice-gauge-theorymass-gapmathematical-physicsmillennium-prizeyang-mills

This is the Clay Millennium Prize Problem of Jaffe and Witten (p. 6): "Prove that for any compact simple gauge group GGG, a non-trivial quantum Yang–Mills theory exists on R4\mathbb{R}^4R4 and has a mass gap Δ>0\Delta > 0Δ>0. Existence includes establishing axiomatic properties at least as strong as those cited in [Streater–Wightman, Osterwalder–Schrader]", stated in the form Jaffe–Witten describe in §6.5: as the existence of the continuum and infinite-volume limit of Wilson's lattice gauge theory with the properties of a reflection-positive Euclidean theory with a mass gap.

Let GGG be a compact Hausdorff group which is a compact simple gauge group (connected, non-abelian, every closed normal subgroup finite or all of GGG), and let ρ:G→U(N)\rho : G \to U(N)ρ:G→U(N) be a continuous injective homomorphism (so GGG is a compact Lie group with simple Lie algebra). Then there exist

  • inverse couplings βk>0\beta_k > 0βk​>0 and physical box sizes Lk→∞L_k \to \inftyLk​→∞ indexed by the lattice spacing 2−k2^{-k}2−k,
  • positive renormalization constants Zk(γ)Z_k(\gamma)Zk​(γ) for every dyadic loop γ\gammaγ in R4\mathbb{R}^4R4,
  • a functional WWW on finite families of dyadic loops in R4\mathbb{R}^4R4,

such that:

  1. (Existence of the theory) for every admissible family AAA of loops (simple, pairwise disjoint),
∏γ∈AZk(γ)⋅⟨∏γ∈Atr⁡ρ(Uγ)⟩k, Lk, βk⟶W(A)(k→∞),\prod_{\gamma \in A} Z_k(\gamma)\cdot\Big\langle \prod_{\gamma\in A}\operatorname{tr}\rho(U_\gamma)\Big\rangle_{k,\,L_k,\,\beta_k} \longrightarrow W(A) \qquad (k\to\infty),γ∈A∏​Zk​(γ)⋅⟨γ∈A∏​trρ(Uγ​)⟩k,Lk​,βk​​⟶W(A)(k→∞),

where ⟨⋅⟩k,L,β\langle\cdot\rangle_{k,L,\beta}⟨⋅⟩k,L,β​ is the Wilson lattice gauge theory expectation at lattice spacing 2−k2^{-k}2−k in the box of physical half-side LLL with action β∑pRe⁡tr⁡ρ(Up)\beta\sum_p \operatorname{Re}\operatorname{tr}\rho(U_p)β∑p​Retrρ(Up​) and free boundary conditions; 2. (Euclidean invariance, lattice part) WWW is invariant under all dyadic translations and all signed coordinate permutations of R4\mathbb{R}^4R4; 3. (Reflection positivity) for all ci∈Cc_i\in\mathbb{C}ci​∈C and admissible families AiA_iAi​ of loops with strictly positive time coordinates, ∑i,jci‾cj W(θAi∪Aj)\sum_{i,j}\overline{c_i}c_j\,W(\theta A_i\cup A_j)∑i,j​ci​​cj​W(θAi​∪Aj​) is real and ≥0\ge 0≥0, θ\thetaθ the time reflection (with orientation reversal); 4. (Mass gap) there is Δ>0\Delta > 0Δ>0 such that for all admissible A,BA, BA,B there is CCC with ∣W(A∪τtB)−W(A)W(B)∣≤Ce−Δt|W(A\cup\tau_t B) - W(A)W(B)| \le C e^{-\Delta t}∣W(A∪τt​B)−W(A)W(B)∣≤Ce−Δt for all dyadic times t≥0t \ge 0t≥0 at which A∪τtBA\cup\tau_tBA∪τt​B is admissible, τt\tau_tτt​ the forward time translation; 5. (Non-triviality: m<∞m<\inftym<∞) property 4 does not hold for every Δ\DeltaΔ, i.e. the mass m=sup⁡{Δ}m = \sup\{\Delta\}m=sup{Δ} is finite.

Under Osterwalder–Schrader reconstruction, property 3 yields the Hilbert space, vacuum and positive Hamiltonian HHH of the theory, and property 4 is equivalent to HHH having no spectrum in (0,Δ)(0,\Delta)(0,Δ); property 5 is Jaffe–Witten's requirement "we require m<∞m < \inftym<∞" and excludes the degenerate limits (independent links, flat connections, bounded couplings) whose connected correlations vanish at all large time separations. This is an open problem; a proof would settle the Millennium Prize Problem in this formulation.

Formalization Note The theory is defined through Wilson-loop correlation functions of axis-parallel loops with dyadic vertices (YangMills.Loop 4), following Jaffe–Witten §6.5, Seiler and Chatterjee; smeared field operators and full Euclidean invariance are not encoded. The infinite-volume limit is taken jointly with the continuum limit along Lk→∞L_k \to \inftyLk​→∞ (weaker than requiring the infinite-volume limit at each fixed spacing). The renormalization constants are multiplicative and per loop, as expected from the perimeter divergence of Wilson loops; they cannot create time dependence in connected correlations. Nothing is asserted about the values of WWW on non-admissible families, about uniqueness of the theory, about the rate at which βk→∞\beta_k \to \inftyβk​→∞, or about matter fields.

Preamble
import Definitions.Def_YangMills
import Mathlib
Formal statement
namespace YangMills
theorem existence_and_mass_gap {G : Type*} [Group G] [TopologicalSpace G] [IsTopologicalGroup G]
    [CompactSpace G] [T2Space G] [MeasurableSpace G] [BorelSpace G]
    (hG : IsCompactSimpleGaugeGroup G) {N : ℕ} (ρ : G →* Matrix.unitaryGroup (Fin N) ℂ)
    (hρ : Continuous ρ) (hρ' : Function.Injective ρ) :
    ∃ (β : ℕ → ℝ) (L : ℕ → ℕ) (Z : ℕ → Loop 4 → ℝ) (W : List (Loop 4) → ℂ),
      IsContinuumLimit ρ β L Z W ∧ IsLatticeInvariant W ∧ IsReflectionPositive W ∧
      (∃ Δ : ℝ, 0 < Δ ∧ HasMassGap W Δ) ∧ HasFiniteMass W := by sorry
end YangMills
Source
A. Jaffe, E. Witten, Quantum Yang–Mills theory, Clay Mathematics Institute Millennium Prize Problem description (2000), https://www.claymath.org/wp-content/uploads/2022/06/yangmills.pdf, p. 6, §4, boxed statement 'Yang–Mills Existence and Mass Gap' and the preceding definition of the mass gap; p. 11, §6.5 for the lattice formulation ('limits of appropriate expectations of gauge-invariant observables as the lattice spacing tends to zero and as the volume tends to infinity'); p. 12, footnote 2 (weak existence excluded unless the properties of the limit are established). Probabilistic formulation: S. Chatterjee, Yang–Mills for probabilists (2019), Problems 5.1 and 5.2, https://doi.org/10.1007/978-3-030-15338-0_1; E. Seiler, Gauge Theories as a Problem of Constructive QFT and Statistical Mechanics, LNP 159 (1982), Ch. 8
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What the Lean code literally says, in plain math · claude-fable-5-1

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1. Hypotheses (everything that is assumed)

The statement is universally quantified over the following data.

  • A type GGG carrying: a group structure; a topology; the assumption that the topology makes GGG a topological group (multiplication and inversion continuous); the assumption that GGG is a compact space; the assumption that GGG is Hausdorff (T2T_2T2​); a σ\sigmaσ-algebra on GGG; and the assumption that this σ\sigmaσ-algebra is the Borel σ\sigmaσ-algebra of the topology.
  • A proof hGh_GhG​ that GGG is a "compact simple gauge group" in the following custom sense (this is a conjunction of three conditions and nothing else; compactness is not part of it, it comes from the separate typeclass assumption above):
    1. GGG is a connected topological space (in particular non-empty);
    2. GGG is non-abelian: ∃ a,b∈G\exists\, a, b \in G∃a,b∈G with ab≠baab \neq baab=ba;
    3. for every subgroup K≤GK \le GK≤G that is normal and whose underlying set is closed in GGG: either the underlying set of KKK is finite, or K=GK = GK=G.
  • A natural number N∈NN \in \mathbb{N}N∈N (implicit; it may be 000).
  • A group homomorphism ρ:G→U(N)\rho : G \to \mathrm{U}(N)ρ:G→U(N), where U(N)\mathrm{U}(N)U(N) is Mathlib's Matrix.unitaryGroup (Fin N) ℂ: the set of N×NN\times NN×N complex matrices UUU with U∗U=1U^{*}U = 1U∗U=1 and UU∗=1UU^{*} = 1UU∗=1 (U∗U^{*}U∗ = conjugate transpose), a group under matrix multiplication.
  • A proof hρh_\rhohρ​ that ρ\rhoρ is continuous, where U(N)\mathrm{U}(N)U(N) carries the subspace topology from CN×N\mathbb{C}^{N\times N}CN×N (product topology).
  • A proof hρ′h_{\rho}'hρ′​ that ρ\rhoρ is injective.

Degenerate values of NNN. For N=0N = 0N=0 the group U(0)\mathrm{U}(0)U(0) has exactly one element, and for N=1N = 1N=1 it is the abelian group U(1)\mathrm{U}(1)U(1). In either case injectivity of ρ\rhoρ forces GGG to be abelian, contradicting condition 2 of hGh_GhG​; so for N≤1N \le 1N≤1 the hypotheses cannot all hold and the statement is vacuously true. The theorem itself places no lower bound on NNN; it simply quantifies over all NNN.

2. Conclusion (what is asserted to exist)

Under these hypotheses the theorem asserts that there exist

  • a sequence of real numbers β:N→R\beta : \mathbb{N} \to \mathbb{R}β:N→R,
  • a sequence of natural numbers L:N→NL : \mathbb{N} \to \mathbb{N}L:N→N,
  • a function Z:N→Loop4→RZ : \mathbb{N} \to \mathrm{Loop}_4 \to \mathbb{R}Z:N→Loop4​→R (a real number Zk(γ)Z_k(\gamma)Zk​(γ) for each index kkk and each loop γ\gammaγ),
  • a function W:List(Loop4)→CW : \mathrm{List}(\mathrm{Loop}_4) \to \mathbb{C}W:List(Loop4​)→C (a complex number W(A)W(A)W(A) for every finite list AAA of loops — lists are ordered and may contain repeats),

such that all five of the following hold:

(I) IsContinuumLimitρ(β,L,Z,W),(II) IsLatticeInvariant(W),(III) IsReflectionPositive(W),\text{(I) } \mathrm{IsContinuumLimit}_\rho(\beta, L, Z, W),\quad \text{(II) } \mathrm{IsLatticeInvariant}(W),\quad \text{(III) } \mathrm{IsReflectionPositive}(W),(I) IsContinuumLimitρ​(β,L,Z,W),(II) IsLatticeInvariant(W),(III) IsReflectionPositive(W), (IV) ∃ Δ∈R, 0<Δ ∧ HasMassGap(W,Δ),(V) HasFiniteMass(W).\text{(IV) } \exists\, \Delta \in \mathbb{R},\ 0 < \Delta \ \wedge\ \mathrm{HasMassGap}(W, \Delta),\quad \text{(V) } \mathrm{HasFiniteMass}(W).(IV) ∃Δ∈R, 0<Δ ∧ HasMassGap(W,Δ),(V) HasFiniteMass(W).

Everything is in dimension d=4d = 4d=4: coordinates are indexed by {0,1,2,3}\{0,1,2,3\}{0,1,2,3}, and index 000 plays the role of "time" in (III), (IV), (V). The existence claim is a plain ∃\exists∃ (not unique existence). All five custom predicates are unfolded below.

3. The lattice objects

Sites, boxes, edges, plaquettes. A site is a point x∈Z4x \in \mathbb{Z}^4x∈Z4 (a function {0,1,2,3}→Z\{0,1,2,3\} \to \mathbb{Z}{0,1,2,3}→Z). eμe_\mueμ​ denotes the unit vector in direction μ\muμ. For R∈NR \in \mathbb{N}R∈N the box ΛR={x∈Z4:−R≤xμ≤R for all μ}\Lambda_R = \{x \in \mathbb{Z}^4 : -R \le x_\mu \le R \text{ for all } \mu\}ΛR​={x∈Z4:−R≤xμ​≤R for all μ} (for R=0R=0R=0 it is {0}\{0\}{0}). An edge is a pair (x,μ)(x,\mu)(x,μ) with xxx a site and μ\muμ a direction, thought of as the segment from xxx to x+eμx + e_\mux+eμ​. The box edges ERE_RER​ are the edges (x,μ)(x,\mu)(x,μ) with x∈ΛRx \in \Lambda_Rx∈ΛR​ and x+eμ∈ΛRx + e_\mu \in \Lambda_Rx+eμ​∈ΛR​. A plaquette is a triple (x,μ,ν)(x,\mu,\nu)(x,μ,ν); the box plaquettes PRP_RPR​ are those with x∈ΛRx \in \Lambda_Rx∈ΛR​, μ<ν\mu < \nuμ<ν (as indices), and x+eμ, x+eν, x+eμ+eν∈ΛRx+e_\mu,\ x+e_\nu,\ x+e_\mu+e_\nu \in \Lambda_Rx+eμ​, x+eν​, x+eμ​+eν​∈ΛR​.

Configurations and links. A configuration on the box of size RRR is a function U:ER→GU : E_R \to GU:ER​→G. For an arbitrary edge eee (inside the box or not) the link variable is

linkU(e)={U(e)e∈ER,1Ge∉ER,\mathrm{link}_U(e) = \begin{cases} U(e) & e \in E_R,\\ 1_G & e \notin E_R,\end{cases}linkU​(e)={U(e)1G​​e∈ER​,e∈/ER​,​

so every edge outside the box carries the identity element.

Plaquette variable. For p=(x,μ,ν)p = (x,\mu,\nu)p=(x,μ,ν),

plaqU(x,μ,ν)=linkU(x,μ)⋅linkU(x+eμ,ν)⋅linkU(x+eν,μ)−1⋅linkU(x,ν)−1.\mathrm{plaq}_U(x,\mu,\nu) = \mathrm{link}_U(x,\mu)\cdot \mathrm{link}_U(x+e_\mu,\nu)\cdot \mathrm{link}_U(x+e_\nu,\mu)^{-1}\cdot \mathrm{link}_U(x,\nu)^{-1}.plaqU​(x,μ,ν)=linkU​(x,μ)⋅linkU​(x+eμ​,ν)⋅linkU​(x+eν​,μ)−1⋅linkU​(x,ν)−1.

Wilson action. With tr⁡\operatorname{tr}tr the matrix trace and Re\mathrm{Re}Re the real part,

Sρ(U)=∑p∈PRRe tr⁡(ρ(plaqU(p)))∈R.S_\rho(U) = \sum_{p \in P_R} \mathrm{Re}\,\operatorname{tr}\big(\rho(\mathrm{plaq}_U(p))\big) \in \mathbb{R}.Sρ​(U)=p∈PR​∑​Retr(ρ(plaqU​(p)))∈R.

There is no coupling constant inside SρS_\rhoSρ​, no subtraction of a constant, and no sign flip; the Gibbs weight is gβ(U)=exp⁡(β Sρ(U))g_\beta(U) = \exp\big(\beta\, S_\rho(U)\big)gβ​(U)=exp(βSρ​(U)) with the sign +βSρ+\beta S_\rho+βSρ​.

Haar probability measure and configuration measure. haarProb(G)\mathrm{haarProb}(G)haarProb(G) is Mathlib's left Haar measure on GGG built from the positive compact set GGG itself (the top element of PositiveCompacts G, which exists because GGG is compact and non-empty), normalised so that GGG has measure 111. The configuration measure μR\mu_RμR​ on {U:ER→G}\{U : E_R \to G\}{U:ER​→G} is the finite product measure ⨂e∈ERhaarProb(G)\bigotimes_{e \in E_R} \mathrm{haarProb}(G)⨂e∈ER​​haarProb(G) (Mathlib's Measure.pi). When ERE_RER​ is empty (e.g. R=0R = 0R=0) there is a single configuration and μR\mu_RμR​ gives it mass 111.

Expectation. For β∈R\beta \in \mathbb{R}β∈R and F:{U:ER→G}→CF : \{U : E_R\to G\} \to \mathbb{C}F:{U:ER​→G}→C,

⟨F⟩R,β=∫F(U) gβ(U) dμR(U)∫gβ(U) dμR(U)∈C,\langle F\rangle_{R,\beta} = \frac{\displaystyle\int F(U)\, g_\beta(U)\, d\mu_R(U)}{\displaystyle\int g_\beta(U)\, d\mu_R(U)} \in \mathbb{C},⟨F⟩R,β​=∫gβ​(U)dμR​(U)∫F(U)gβ​(U)dμR​(U)​∈C,

with both integrals being Bochner integrals of complex-valued functions (the real gβg_\betagβ​ is cast into C\mathbb{C}C). Two conventions are in force: a Bochner integral of a function that is not integrable (in particular not almost-everywhere strongly measurable) is defined to be 000, and division by 000 in C\mathbb{C}C yields 000. Nothing in the definitions assumes integrability or nonvanishing of the denominator.

4. Paths, loops and their operations

Steps. A step is a pair s=(μ,b)s = (\mu, b)s=(μ,b) with μ∈{0,1,2,3}\mu \in \{0,1,2,3\}μ∈{0,1,2,3} and bbb a Boolean; its displacement is s⃗=eμ\vec s = e_\mus=eμ​ if b=trueb = \mathrm{true}b=true and s⃗=−eμ\vec s = -e_\mus=−eμ​ if b=falseb = \mathrm{false}b=false.

Vertices, edges and holonomy of a step list. For a start site xxx and a list of steps s1,…,sns_1,\dots,s_ns1​,…,sn​, put x0=xx_0 = xx0​=x, xi=xi−1+s⃗ix_i = x_{i-1} + \vec s_ixi​=xi−1​+si​. Then

  • pathVertices(x;s1..sn)=[x0,x1,…,xn−1]\mathrm{pathVertices}(x; s_1..s_n) = [x_0, x_1, \dots, x_{n-1}]pathVertices(x;s1​..sn​)=[x0​,x1​,…,xn−1​] — the starting point of each step; it is the empty list if n=0n = 0n=0, and does not separately include xnx_nxn​;
  • pathEdges(x;s1..sn)\mathrm{pathEdges}(x; s_1..s_n)pathEdges(x;s1​..sn​) is the list whose iii-th entry is (xi−1,μi)(x_{i-1}, \mu_i)(xi−1​,μi​) if bi=trueb_i = \mathrm{true}bi​=true and (xi−1−eμi,μi)(x_{i-1} - e_{\mu_i}, \mu_i)(xi−1​−eμi​​,μi​) if bi=falseb_i = \mathrm{false}bi​=false (edges are always recorded in their positive orientation);
  • the holonomy is the ordered product
holU(x;s1..sn)=h1h2⋯hn,hi={linkU(xi−1,μi)bi=true,linkU(xi−1−eμi,μi)−1bi=false,\mathrm{hol}_U(x; s_1..s_n) = h_1 h_2 \cdots h_n,\qquad h_i = \begin{cases}\mathrm{link}_U(x_{i-1},\mu_i) & b_i = \mathrm{true},\\ \mathrm{link}_U(x_{i-1}-e_{\mu_i},\mu_i)^{-1} & b_i = \mathrm{false},\end{cases}holU​(x;s1​..sn​)=h1​h2​⋯hn​,hi​={linkU​(xi−1​,μi​)linkU​(xi−1​−eμi​​,μi​)−1​bi​=true,bi​=false,​

with holU(x;[])=1G\mathrm{hol}_U(x; []) = 1_GholU​(x;[])=1G​.

Loops. A loop γ∈Loop4\gamma \in \mathrm{Loop}_4γ∈Loop4​ is a triple (γ.scale∈N, γ.base∈Z4, γ.steps)(\gamma.\mathrm{scale} \in \mathbb{N},\ \gamma.\mathrm{base} \in \mathbb{Z}^4,\ \gamma.\mathrm{steps})(γ.scale∈N, γ.base∈Z4, γ.steps) together with a proof that ∑is⃗i=0\sum_i \vec s_i = 0∑i​si​=0 (the displacement returns to the base point). The step list may be empty. Two loops with the same base and steps but different scale are different loops.

Refinement. refine(γ,j)\mathrm{refine}(\gamma, j)refine(γ,j) has scale γ.scale+j\gamma.\mathrm{scale} + jγ.scale+j, base 2j⋅γ.base2^j\cdot\gamma.\mathrm{base}2j⋅γ.base, and step list obtained by replacing each step by 2j2^j2j consecutive copies of itself. refine(γ,0)\mathrm{refine}(\gamma,0) refine(γ,0) has the same base and steps as γ\gammaγ.

Loop at scale kkk. atScale(γ,k)=(base,steps)\mathrm{atScale}(\gamma,k) = (\text{base},\text{steps})atScale(γ,k)=(base,steps) of refine(γ, k−˙γ.scale)\mathrm{refine}(\gamma,\ k \mathbin{\dot-} \gamma.\mathrm{scale})refine(γ, k−˙​γ.scale), where −˙\dot-−˙​ is truncated natural-number subtraction: if k<γ.scalek < \gamma.\mathrm{scale}k<γ.scale then k−˙γ.scale=0k \dot- \gamma.\mathrm{scale} = 0k−˙​γ.scale=0 and atScale(γ,k)\mathrm{atScale}(\gamma,k)atScale(γ,k) is just (γ.base,γ.steps)(\gamma.\mathrm{base},\gamma.\mathrm{steps})(γ.base,γ.steps) — a loop is never coarsened, and for every k≤γ.scalek \le \gamma.\mathrm{scale}k≤γ.scale the same unrefined data is returned.

Vertices. vertices(γ)=pathVertices(γ.base;γ.steps)\mathrm{vertices}(\gamma) = \mathrm{pathVertices}(\gamma.\mathrm{base};\gamma.\mathrm{steps})vertices(γ)=pathVertices(γ.base;γ.steps) (at native scale); verticesAt(γ,k)=pathVertices\mathrm{verticesAt}(\gamma,k) = \mathrm{pathVertices}verticesAt(γ,k)=pathVertices of atScale(γ,k)\mathrm{atScale}(\gamma,k)atScale(γ,k); edges(γ)=pathEdges(γ.base;γ.steps)\mathrm{edges}(\gamma) = \mathrm{pathEdges}(\gamma.\mathrm{base};\gamma.\mathrm{steps})edges(γ)=pathEdges(γ.base;γ.steps).

Simple. γ\gammaγ is simple iff its step list is non-empty, vertices(γ)\mathrm{vertices}(\gamma)vertices(γ) has no repeated entries, and edges(γ)\mathrm{edges}(\gamma)edges(γ) has no repeated entries (both at the loop's native scale).

Disjoint. γ1,γ2\gamma_1,\gamma_2γ1​,γ2​ are disjoint iff, with m=max⁡(γ1.scale,γ2.scale)m = \max(\gamma_1.\mathrm{scale},\gamma_2.\mathrm{scale})m=max(γ1​.scale,γ2​.scale), the lists verticesAt(γ1,m)\mathrm{verticesAt}(\gamma_1,m)verticesAt(γ1​,m) and verticesAt(γ2,m)\mathrm{verticesAt}(\gamma_2,m)verticesAt(γ2​,m) have no common entry.

Admissible list. A list AAA of loops is admissible iff every loop in AAA is simple and AAA is pairwise disjoint in list order (each entry disjoint from every later entry). The empty list is admissible. A list containing the same non-trivial loop twice is not admissible.

Translation. For j∈Nj \in \mathbb{N}j∈N and v∈Z4v \in \mathbb{Z}^4v∈Z4, with m=max⁡(γ.scale,j)m = \max(\gamma.\mathrm{scale}, j)m=max(γ.scale,j) and γ′=refine(γ,m−γ.scale)\gamma' = \mathrm{refine}(\gamma, m - \gamma.\mathrm{scale})γ′=refine(γ,m−γ.scale):

translate(γ,j,v)=(scale m, base γ′.base+2 m−j v, steps γ′.steps).\mathrm{translate}(\gamma, j, v) = \big(\text{scale } m,\ \text{base } \gamma'.\mathrm{base} + 2^{\,m-j}\, v,\ \text{steps } \gamma'.\mathrm{steps}\big).translate(γ,j,v)=(scale m, base γ′.base+2m−jv, steps γ′.steps).

(Here m−γ.scalem - \gamma.\mathrm{scale}m−γ.scale and m−jm - jm−j are genuine, since mmm is the maximum.) Thus vvv is a displacement measured in units of the scale-jjj lattice; if j≤γ.scalej \le \gamma.\mathrm{scale}j≤γ.scale the loop is not refined and is shifted by 2γ.scale−jv2^{\gamma.\mathrm{scale}-j}v2γ.scale−jv; if j>γ.scalej > \gamma.\mathrm{scale}j>γ.scale the loop is first refined to scale jjj and then shifted by vvv.

Time translation. timeTranslate(γ,j,n)=translate(γ,j,n e0)\mathrm{timeTranslate}(\gamma, j, n) = \mathrm{translate}(\gamma, j, n\,e_0)timeTranslate(γ,j,n)=translate(γ,j,ne0​) for n∈Nn \in \mathbb{N}n∈N (so only non-negative shifts along coordinate 000).

Strictly positive time. γ\gammaγ has strictly positive time iff every x∈vertices(γ)x \in \mathrm{vertices}(\gamma)x∈vertices(γ) (native scale) has x0>0x_0 > 0x0​>0.

Time reflection. Let θ(x)μ=−xμ\theta(x)_\mu = -x_\muθ(x)μ​=−xμ​ if μ=0\mu = 0μ=0 and xμx_\muxμ​ otherwise. Let reflectStep(μ,b)=(μ,b)\mathrm{reflectStep}(\mu,b) = (\mu,b)reflectStep(μ,b)=(μ,b) if μ=0\mu = 0μ=0 and (μ,¬b)(\mu, \neg b)(μ,¬b) otherwise. Then

reflect(γ)=(scale γ.scale, base θ(γ.base), steps reverse(map reflectStep γ.steps)).\mathrm{reflect}(\gamma) = \big(\text{scale } \gamma.\mathrm{scale},\ \text{base } \theta(\gamma.\mathrm{base}),\ \text{steps } \mathrm{reverse}\big(\mathrm{map}\ \mathrm{reflectStep}\ \gamma.\mathrm{steps}\big)\big).reflect(γ)=(scale γ.scale, base θ(γ.base), steps reverse(map reflectStep γ.steps)).

(One checks from the definitions that each reflected step has displacement −θ(s⃗)-\theta(\vec s)−θ(s), so the reflected loop runs through θ\thetaθ of the original vertices in reverse order.)

Hyperoctahedral coordinate maps. For a permutation σ\sigmaσ of {0,1,2,3}\{0,1,2,3\}{0,1,2,3} and a sign pattern ε:{0,1,2,3}→{true,false}\varepsilon : \{0,1,2,3\} \to \{\mathrm{true},\mathrm{false}\}ε:{0,1,2,3}→{true,false}, define coordMapσ,ε(x)μ=(±1) xσ−1(μ)\mathrm{coordMap}_{\sigma,\varepsilon}(x)_\mu = (\pm 1)\, x_{\sigma^{-1}(\mu)}coordMapσ,ε​(x)μ​=(±1)xσ−1(μ)​ with sign +1+1+1 if ε(μ)=true\varepsilon(\mu) = \mathrm{true}ε(μ)=true and −1-1−1 otherwise; and mapStepσ,ε(μ,b)=(σ(μ), [b=ε(σ(μ))])\mathrm{mapStep}_{\sigma,\varepsilon}(\mu,b) = \big(\sigma(\mu),\ [b = \varepsilon(\sigma(\mu))]\big)mapStepσ,ε​(μ,b)=(σ(μ), [b=ε(σ(μ))]) (the new Boolean is true exactly when bbb equals ε(σμ)\varepsilon(\sigma\mu)ε(σμ)). Then

mapCoords(γ,σ,ε)=(scale γ.scale, base coordMapσ,ε(γ.base), steps map mapStepσ,ε γ.steps).\mathrm{mapCoords}(\gamma,\sigma,\varepsilon) = \big(\text{scale } \gamma.\mathrm{scale},\ \text{base } \mathrm{coordMap}_{\sigma,\varepsilon}(\gamma.\mathrm{base}),\ \text{steps } \mathrm{map}\ \mathrm{mapStep}_{\sigma,\varepsilon}\ \gamma.\mathrm{steps}\big).mapCoords(γ,σ,ε)=(scale γ.scale, base coordMapσ,ε​(γ.base), steps map mapStepσ,ε​ γ.steps).

All σ,ε\sigma,\varepsilonσ,ε are allowed, including those that move or reverse the time axis 000.

5. Observables

Wilson loop at scale kkk. WU,k(γ)=tr⁡(ρ(holU(atScale(γ,k))))∈C\mathcal{W}_{U,k}(\gamma) = \operatorname{tr}\big(\rho(\mathrm{hol}_U(\mathrm{atScale}(\gamma,k)))\big) \in \mathbb{C}WU,k​(γ)=tr(ρ(holU​(atScale(γ,k))))∈C, the trace of the N×NN\times NN×N matrix ρ\rhoρ of the holonomy of the scale-kkk version of γ\gammaγ. For the empty step list this is tr⁡(ρ(1))=N\operatorname{tr}(\rho(1)) = Ntr(ρ(1))=N.

Loop product. WU,k(A)=∏γ∈AWU,k(γ)\mathcal{W}_{U,k}(A) = \prod_{\gamma \in A}\mathcal{W}_{U,k}(\gamma)WU,k​(A)=∏γ∈A​WU,k​(γ) over the list (equal to 111 for A=[]A = []A=[]).

Loop correlation. For k,L∈Nk, L \in \mathbb{N}k,L∈N, β∈R\beta \in \mathbb{R}β∈R and a list AAA,

Ck,L,β(A)=⟨U↦WU,k(A)⟩R=L⋅2k, β,C_{k,L,\beta}(A) = \big\langle U \mapsto \mathcal{W}_{U,k}(A)\big\rangle_{R = L\cdot 2^k,\ \beta},Ck,L,β​(A)=⟨U↦WU,k​(A)⟩R=L⋅2k, β​,

i.e. the expectation of Section 3 on the box ΛL2k\Lambda_{L 2^k}ΛL2k​ with configuration measure μL2k\mu_{L2^k}μL2k​ and weight exp⁡(βSρ)\exp(\beta S_\rho)exp(βSρ​). Loops whose scale-kkk vertices leave the box are still evaluated; their out-of-box edges contribute the identity via link\mathrm{link}link.

6. The five conjuncts

(I) Continuum limit. IsContinuumLimitρ(β,L,Z,W)\mathrm{IsContinuumLimit}_\rho(\beta,L,Z,W)IsContinuumLimitρ​(β,L,Z,W) is the conjunction of:

  1. βk>0\beta_k > 0βk​>0 for every k∈Nk \in \mathbb{N}k∈N;
  2. Zk(γ)>0Z_k(\gamma) > 0Zk​(γ)>0 for every k∈Nk \in \mathbb{N}k∈N and every loop γ\gammaγ;
  3. Lk→∞L_k \to \inftyLk​→∞ as k→∞k \to \inftyk→∞ (for every MMM there is k0k_0k0​ with Lk≥ML_k \ge MLk​≥M for all k≥k0k \ge k_0k≥k0​);
  4. for every admissible list AAA of loops,
(∏γ∈AZk(γ))⋅Ck, Lk, βk(A)⟶W(A)in C as k→∞.\Big(\prod_{\gamma\in A} Z_k(\gamma)\Big)\cdot C_{k,\,L_k,\,\beta_k}(A) \longrightarrow W(A)\quad\text{in }\mathbb{C}\text{ as } k\to\infty .(γ∈A∏​Zk​(γ))⋅Ck,Lk​,βk​​(A)⟶W(A)in C as k→∞.

Nothing is asserted about W(A)W(A)W(A) for non-admissible AAA; WWW is unconstrained there by (I). For A=[]A = []A=[] the convergent quantity is Ck,Lk,βk([])=(∫gβk dμ)/(∫gβk dμ)C_{k,L_k,\beta_k}([]) = \big(\int g_{\beta_k}\,d\mu\big)/\big(\int g_{\beta_k}\,d\mu\big)Ck,Lk​,βk​​([])=(∫gβk​​dμ)/(∫gβk​​dμ), subject to the 000-conventions above.

(II) Lattice invariance. IsLatticeInvariant(W)\mathrm{IsLatticeInvariant}(W)IsLatticeInvariant(W) is the conjunction of:

  1. for every admissible list AAA, every j∈Nj \in \mathbb{N}j∈N and every v∈Z4v \in \mathbb{Z}^4v∈Z4: W(map (γ↦translate(γ,j,v)) A)=W(A)W\big(\mathrm{map}\ (\gamma \mapsto \mathrm{translate}(\gamma,j,v))\ A\big) = W(A)W(map (γ↦translate(γ,j,v)) A)=W(A);
  2. for every admissible list AAA, every permutation σ\sigmaσ of {0,1,2,3}\{0,1,2,3\}{0,1,2,3} and every ε:{0,1,2,3}→Bool\varepsilon : \{0,1,2,3\} \to \mathrm{Bool}ε:{0,1,2,3}→Bool: W(map (γ↦mapCoords(γ,σ,ε)) A)=W(A)W\big(\mathrm{map}\ (\gamma\mapsto\mathrm{mapCoords}(\gamma,\sigma,\varepsilon))\ A\big) = W(A)W(map (γ↦mapCoords(γ,σ,ε)) A)=W(A).

Only admissibility of AAA is required, not of the transformed list.

(III) Reflection positivity. IsReflectionPositive(W)\mathrm{IsReflectionPositive}(W)IsReflectionPositive(W): for every n∈Nn \in \mathbb{N}n∈N, every c:{0,…,n−1}→Cc : \{0,\dots,n-1\} \to \mathbb{C}c:{0,…,n−1}→C and every family A0,…,An−1A_0,\dots,A_{n-1}A0​,…,An−1​ of lists of loops such that each AiA_iAi​ is admissible and every loop in each AiA_iAi​ has strictly positive time, the complex number

S=∑i=0n−1∑j=0n−1ci‾ cj W(map reflect Ai + ⁣ ⁣+ Aj)S = \sum_{i=0}^{n-1}\sum_{j=0}^{n-1} \overline{c_i}\, c_j\, W\big(\mathrm{map}\ \mathrm{reflect}\ A_i \ {+\!\!+}\ A_j\big)S=i=0∑n−1​j=0∑n−1​ci​​cj​W(map reflect Ai​ ++ Aj​)

(where + ⁣ ⁣++\!\!+++ is list concatenation: the reflected loops of AiA_iAi​ followed by the loops of AjA_jAj​, and  ⋅ ‾\overline{\,\cdot\,}⋅ is complex conjugation) satisfies Im S=0\mathrm{Im}\,S = 0ImS=0 and 0≤Re S0 \le \mathrm{Re}\,S0≤ReS. For n=0n = 0n=0 the sum is 000 and the condition holds trivially. The concatenated list is not required to be admissible.

(IV) Mass gap. There exists a real Δ>0\Delta > 0Δ>0 such that HasMassGap(W,Δ)\mathrm{HasMassGap}(W,\Delta)HasMassGap(W,Δ), which means: for every pair of admissible lists A,BA, BA,B there exists a real constant CCC (depending on AAA and BBB only, of arbitrary sign) such that for all j,n∈Nj, n \in \mathbb{N}j,n∈N, if the list A+ ⁣ ⁣+map (γ↦timeTranslate(γ,j,n)) BA \mathbin{+\!\!+} \mathrm{map}\ (\gamma\mapsto \mathrm{timeTranslate}(\gamma,j,n))\ BA++map (γ↦timeTranslate(γ,j,n)) B is admissible, then

∥W(A+ ⁣ ⁣+map (γ↦timeTranslate(γ,j,n)) B)−W(A) W(B)∥ ≤ C⋅exp⁡ ⁣(−Δ⋅n2j),\Big\| W\big(A \mathbin{+\!\!+} \mathrm{map}\ (\gamma\mapsto \mathrm{timeTranslate}(\gamma,j,n))\ B\big) - W(A)\,W(B) \Big\| \ \le\ C\cdot \exp\!\Big(-\Delta\cdot \frac{n}{2^{j}}\Big),​W(A++map (γ↦timeTranslate(γ,j,n)) B)−W(A)W(B)​ ≤ C⋅exp(−Δ⋅2jn​),

with ∥⋅∥\|\cdot\|∥⋅∥ the modulus on C\mathbb{C}C and n/2jn/2^jn/2j ordinary real division (2j≠02^j \neq 02j=0, so no junk value). Pairs (j,n)(j,n)(j,n) for which the concatenated list is not admissible impose no constraint; if no such pair is admissible the requirement on (A,B)(A,B)(A,B) is vacuous. The instances A=[]A = []A=[] or B=[]B = []B=[] are included (e.g. for B=[]B = []B=[] the concatenation is AAA itself and the bound reads ∥W(A)−W(A)W([])∥≤Ce−Δn/2j\|W(A) - W(A)W([])\| \le C e^{-\Delta n/2^j}∥W(A)−W(A)W([])∥≤Ce−Δn/2j for all j,nj,nj,n).

(V) Finite mass. HasFiniteMass(W)\mathrm{HasFiniteMass}(W)HasFiniteMass(W) is literally ¬(∀Δ∈R, HasMassGap(W,Δ))\neg\big(\forall \Delta \in \mathbb{R},\ \mathrm{HasMassGap}(W,\Delta)\big)¬(∀Δ∈R, HasMassGap(W,Δ)); classically, there is some real Δ\DeltaΔ (no sign restriction) for which HasMassGap(W,Δ)\mathrm{HasMassGap}(W,\Delta)HasMassGap(W,Δ) fails, i.e. there exist admissible A,BA, BA,B such that for every real CCC there are j,n∈Nj, n \in \mathbb{N}j,n∈N with A+ ⁣ ⁣+map (γ↦timeTranslate(γ,j,n)) BA \mathbin{+\!\!+} \mathrm{map}\ (\gamma\mapsto\mathrm{timeTranslate}(\gamma,j,n))\ BA++map (γ↦timeTranslate(γ,j,n)) B admissible and

∥W(A+ ⁣ ⁣+map (γ↦timeTranslate(γ,j,n)) B)−W(A) W(B)∥ > C⋅exp⁡ ⁣(−Δ⋅n2j).\Big\| W\big(A \mathbin{+\!\!+} \mathrm{map}\ (\gamma\mapsto \mathrm{timeTranslate}(\gamma,j,n))\ B\big) - W(A)\,W(B) \Big\| \ >\ C\cdot \exp\!\Big(-\Delta\cdot \frac{n}{2^{j}}\Big).​W(A++map (γ↦timeTranslate(γ,j,n)) B)−W(A)W(B)​ > C⋅exp(−Δ⋅2jn​).

7. Summary in one sentence

For every compact Hausdorff topological group GGG (with Borel σ\sigmaσ-algebra) that is connected, non-abelian, and has every closed normal subgroup finite or everything, and every N∈NN\in\mathbb{N}N∈N and continuous injective homomorphism ρ:G→U(N)\rho : G\to \mathrm{U}(N)ρ:G→U(N), there exist sequences βk∈R\beta_k \in \mathbb{R}βk​∈R, Lk∈NL_k \in \mathbb{N}Lk​∈N, normalisations Zk(γ)∈RZ_k(\gamma)\in\mathbb{R}Zk​(γ)∈R and a function WWW on lists of loops in Z4\mathbb{Z}^4Z4 such that: βk>0\beta_k>0βk​>0, Zk>0Z_k>0Zk​>0, Lk→∞L_k\to\inftyLk​→∞, and for each admissible list AAA the rescaled Wilson-loop expectations ∏γ∈AZk(γ)⋅Ck,Lk,βk(A)\prod_{\gamma\in A}Z_k(\gamma)\cdot C_{k,L_k,\beta_k}(A)∏γ∈A​Zk​(γ)⋅Ck,Lk​,βk​​(A) (finite-box lattice expectations on ΛLk2k\Lambda_{L_k 2^k}ΛLk​2k​ with product-Haar measure and weight e+βkSρe^{+\beta_k S_\rho}e+βk​Sρ​, loops refined to scale kkk) converge to W(A)W(A)W(A); WWW is invariant on admissible lists under the translation and coordinate-map operations of Section 4; WWW satisfies the reflection-positivity inequality (III) for strictly-positive-time admissible families; there is some Δ>0\Delta>0Δ>0 with the exponential clustering bound (IV); and it is not the case that (IV) holds for every real Δ\DeltaΔ.

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