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Campaigns group missions around a shared mathematical goal. Each one tracks a quantity, such as an upper or lower bound. Have a good candidate in mind? Ping us on Slack, Zulip, or WeChat.

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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.

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Each mission turns a result from a paper or textbook into small Lean 4 statements anyone can tackle.

Campaigns (experimental)

See all campaigns →

Campaigns group missions around a shared mathematical goal. Each one tracks a quantity, such as an upper or lower bound. Have a good candidate in mind? Ping us on Slack, Zulip, or WeChat.

Block Sensitivity vs. Sensitivity

How much larger can block sensitivity be than sensitivity for a total Boolean function?

For a total Boolean function f:{0,1}n→{0,1}f:\{0,1\}^n\to\{0,1\}f:{0,1}n→{0,1}, a block of coordinates is sensitive at xxx if flipping every bit in that block changes f(x)f(x)f(x). Let s(f,x)s(f,x)s(f,x) count sensitive singletons and bs(f,x)bs(f,x)bs(f,x) be the maximum number of pairwise disjoint sensitive blocks. Define s(f)=max⁡xs(f,x)s(f)=\max_x s(f,x)s(f)=maxx​s(f,x) and bs(f)=max⁡xbs(f,x)bs(f)=\max_x bs(f,x)bs(f)=maxx​bs(f,x).

This campaign seeks larger exponents α\alphaα for which there exists an infinite family of total Boolean functions fk:{0,1}nk→{0,1}f_k:\{0,1\}^{n_k}\to\{0,1\}fk​:{0,1}nk​→{0,1}, indexed by k=1,2,…k=1,2,\ldotsk=1,2,…, satisfying

s(fk)→∞,bs(fk)≥s(fk)α−o(1)as k→∞.s(f_k)\to\infty,\qquad bs(f_k)\ge s(f_k)^{\alpha-o(1)}\quad\text{as }k\to\infty.s(fk​)→∞,bs(fk​)≥s(fk​)α−o(1)as k→∞.

Here o(1)o(1)o(1) denotes a quantity tending to zero as k→∞k\to\inftyk→∞. Higher is better. The classical exponent is 222, and Huang's bound gives a ceiling of 444.

OpenAI's construction achieves an exponent strictly greater than 222.

One sufficient way to establish an exponent α\alphaα is to find a single total Boolean function fff with s(f)>1s(f)>1s(f)>1 and bs(f)≥s(f)αbs(f)\ge s(f)^\alphabs(f)≥s(f)α. Input and output normalization followed by self-composition then yields the required asymptotic family.

≥ 2.131125302137Formalized record→≥ 2.15Open frontier
11 provers on it19 of 20 missions formalized

Integer Multiplication Below n log n

Turn proposed improvements to integer multiplication into complete Lean proofs, and push the exponent saving further.

Harvey and van der Hoeven established an O(nlog⁡n)O(n\log n)O(nlogn) algorithm in 2021. This campaign builds on that foundation, the OpenAI manuscript, and subsequent community constructions to pursue a strict asymptotic improvement.

For two nnn-bit integers, the target is

T(n)=O ⁣(n L(n)1−κ),L(n)=max⁡(⌈log⁡2n⌉,1).T(n)=O\!\left(n\,L(n)^{1-\kappa}\right),\qquad L(n)=\max(\lceil\log_2 n\rceil,1).T(n)=O(nL(n)1−κ),L(n)=max(⌈log2​n⌉,1).

A positive κ\kappaκ beats nlog⁡nn\log nnlogn asymptotically; larger κ\kappaκ is better. Every entry must exhibit one deterministic multitape Turing machine, with a fixed finite alphabet and tape count, that computes the exact product at every positive input length and meets the eventual worst-case time bound. The tracked number measures an asymptotic exponent saving.

≥ 3.6 × 10−5Formalized record→≥ 5.1 × 10−5Open frontier
8 provers on it4 of 7 missions formalized

3SUM Exponent

Classical algorithms solve 3SUM in O(n2)O(n^2)O(n2) time. In a 2026 breakthrough, Alman and Vassilevska Williams gave a deterministic O(n1.9992)O(n^{1.9992})O(n1.9992) algorithm, refuting the integer 3SUM hypothesis. How low can the exponent go?

Building on existing Lean formalizations, this campaign tracks upper bounds for 3SUM on polynomially bounded integers, using a word RAM with O(log⁡n)O(\log n)O(logn)-bit words, and pursues smaller exponents.

≤ 1.960614Formalized record→≤ 1.9202796Open frontier
4 provers on it7 of 8 missions formalized

All-Pairs Shortest Paths (APSP) Exponent

Classical algorithms solve all-pairs shortest paths in O(n3)O(n^3)O(n3) time. In a 2026 breakthrough, Alman and Vassilevska Williams refuted the APSP conjecture with a deterministic O(n2.99942)O(n^{2.99942})O(n2.99942) algorithm. How low can the exponent go?

Building on existing Lean formalizations, this campaign tracks upper bounds for exact APSP and pursues smaller exponents.

≤ 2.995561Formalized record
3 provers on it5 of 5 missions formalized

The irrationality measure of π

The irrationality measure of π quantifies how closely rational numbers can approximate it. This campaign seeks formal proofs of sharper upper bounds, starting with Mahler’s bound of 42.

≤ 2Formalized record
18 provers on it9 of 9 missions formalized

Sharp diagonal Hlawka constant

The sharp Hlawka inequality for Schatten ppp-norms is a cousin of the triangle inequality: it relates the norms of three matrices to the norms of their pairwise sums and their total sum. For complex diagonal matrices, an exact formula for the best possible comparison constant has been proved in Lean for every real p≥256p\ge256p≥256. We conjecture that the same formula holds for all p≥2p\ge2p≥2.

What is the smallest cutoff p′p'p′ for which this formula holds for every real p≥p′p\ge p'p≥p′?

References:

  • Wolfram MathWorld, Hlawka's Inequality.
  • Audenaert and Kittaneh, Problems and Conjectures in Matrix and Operator Inequalities, §8.2 (2017).
  • Marinescu and Niculescu, A New Look at the Hornich–Hlawka Inequality (2025).
  • Analytic argument for p≥90p\ge90p≥90, awaiting formalization in Lean.
≤ 12Formalized record→≤ 2Open frontier
8 provers on it14 of 15 missions formalized

Odd numbers as sums of primes

Is every odd number a sum of kkk primes? This campaign tracks formalized proofs of the smallest kkk that suffices.

Schnirelmann (1930) showed some finite kkk works. Vinogradov (1937) showed that three is enough for all sufficiently large odd numbers. Tao (2012) proved k=5k = 5k=5 unconditionally. Helfgott (2013) proved that every odd number greater than 555 is a sum of three primes, though the proof is still unrefereed. Ideally, we can formalize this statement here. Note that three is optimal: 272727 is neither prime nor 222 + prime.

≤ 23Formalized record→≤ 5Open frontier
41 provers on it15 of 17 missions formalized

Matrix multiplication exponent

Schoolbook matrix multiplication takes n3n^3n3 operations. The exponent ω\omegaω is the infimum of all τ\tauτ such that two n×nn \times nn×n matrices can be multiplied in O(nτ)O(n^{\tau})O(nτ) arithmetic operations; trivially ω≥2\omega \geq 2ω≥2, and ω=2\omega = 2ω=2 is conjectured but open.

Strassen gave the first nontrivial bound, ω<2.81\omega < 2.81ω<2.81, in 1969, and introduced the laser method in 1986 to reach ω<2.48\omega < 2.48ω<2.48. Coppersmith and Winograd's 1990 bound of 2.3762.3762.376 stood for two decades. Every subsequent improvement comes from analyzing higher tensor powers of their construction with refined laser-method variants. That line reached ω<2.371339\omega < 2.371339ω<2.371339 in 2025, and the current record is ω<2.371177\omega < 2.371177ω<2.371177, from August 2026. See Computational complexity of matrix multiplication for the full table. Can we formalize these results and even improve on them?

≤ 2.25Formalized record
16 provers on it9 of 9 missions formalized

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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.

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Convex OptimizationOperations ResearchOptimization·Captain: Shuze Chen

Lectures on Modern Convex Optimization II: The Conic Duality TheoremTextbook

Motivation

Linear, second-order cone and semidefinite programming are three instances of one format: minimize a linear objective subject to the requirement that an affine image of the decision vector lie in a fixed convex cone. Ben-Tal and Nemirovski's Lectures on Modern Convex Optimization (SIAM 2001) builds its whole treatment of modelling and algorithms on this conic programming format, and the first result it needs is a duality theorem for it. That theorem is what certifies optimality of a solution returned by an interior-point solver, what turns a robust or semidefinite reformulation into a tractable problem, and what every later lecture of the book uses when it passes to a dual problem. Conic duality in this form goes back to Nesterov and Nemirovski's monograph on interior-point methods (SIAM 1994); the Lagrangian form of the same phenomenon (Slater's condition) is the textbook version in Boyd and Vandenberghe (Cambridge 2004).

This mission is the second of a series formalizing the book's capstone results, and covers Lecture 2, §2.3–2.4.

Setting

Let K⊂Rm\mathbf K \subset \mathbb R^mK⊂Rm be a good cone: a nonempty set closed under addition and under multiplication by nonnegative reals (a convex cone), pointed (if a∈Ka \in \mathbf Ka∈K and −a∈K-a \in \mathbf K−a∈K then a=0a = 0a=0), closed, and with nonempty interior. Write a≥Kba \ge_{\mathbf K} ba≥K​b for a−b∈Ka - b \in \mathbf Ka−b∈K and a>Kba >_{\mathbf K} ba>K​b for a−b∈int⁡Ka - b \in \operatorname{int}\mathbf Ka−b∈intK. The dual cone is

K∗={λ∈Rm:λTa≥0  for all a∈K}.\mathbf K_* = \{\lambda \in \mathbb R^m : \lambda^T a \ge 0 \ \text{ for all } a \in \mathbf K\}.K∗​={λ∈Rm:λTa≥0  for all a∈K}.

Given an m×nm\times nm×n matrix AAA, b∈Rmb \in \mathbb R^mb∈Rm and c∈Rnc \in \mathbb R^nc∈Rn, the conic problem and its conic dual are

(CP)c∗=min⁡x{cTx∣Ax≥Kb},(D)b∗=max⁡λ{bTλ∣ATλ=c, λ≥K∗0}.\text{(CP)}\quad c^* = \min_x\{c^Tx \mid Ax \ge_{\mathbf K} b\}, \qquad \text{(D)}\quad b^* = \max_\lambda\{b^T\lambda \mid A^T\lambda = c,\ \lambda \ge_{\mathbf K_*} 0\}.(CP)c∗=xmin​{cTx∣Ax≥K​b},(D)b∗=λmax​{bTλ∣ATλ=c, λ≥K∗​​0}.

A point xxx is feasible for (CP) if Ax−b∈KAx - b \in \mathbf KAx−b∈K; (CP) is strictly feasible if Ax−b∈int⁡KAx - b \in \operatorname{int}\mathbf KAx−b∈intK for some xxx; it is bounded below if cTxc^TxcTx is bounded below on the feasible set (an infeasible problem counts as bounded below); it is solvable if some feasible xxx attains the infimum c∗c^*c∗. The same notions for (D) use ATλ=cA^T\lambda = cATλ=c, λ∈K∗\lambda \in \mathbf K_*λ∈K∗​, λ∈int⁡K∗\lambda \in \operatorname{int}\mathbf K_*λ∈intK∗​, and upper bounds. Throughout the book (from p. 53 on) Assumption A is in force: the columns of AAA are linearly independent.

Formalization targets

Goal: the conic duality theorem (Theorem 2.4.1, pp. 57–58)

Under the standing assumptions:

  1. (weak duality) cTx−bTλ≥0c^Tx - b^T\lambda \ge 0cTx−bTλ≥0 for every primal-dual feasible pair (x,λ)(x, \lambda)(x,λ);
  2. (3.a) if (CP) is bounded below and strictly feasible, then (D) is solvable and c∗=b∗c^* = b^*c∗=b∗;
  3. (3.b) if (D) is bounded above and strictly feasible, then (CP) is solvable and c∗=b∗c^* = b^*c∗=b∗;
  4. (4) if one of the problems is bounded and strictly feasible, a primal-dual feasible pair is optimal if and only if
bTλ=cTxand if and only ifλT(Ax−b)=0.b^T\lambda = c^Tx \qquad\text{and if and only if}\qquad \lambda^T(Ax - b) = 0.bTλ=cTxand if and only ifλT(Ax−b)=0.

Item 1 of the printed theorem (the dual of the dual is equivalent to the primal) is an informal equivalence of problems and is not part of the target.

Milestones

  • Theorem 2.3.1 (p. 52): K∗\mathbf K_*K∗​ is a closed convex cone; it is pointed if int⁡K≠∅\operatorname{int}K \ne \emptysetintK=∅; int⁡K∗≠∅\operatorname{int}K_* \ne \emptysetintK∗​=∅ if KKK is a closed convex pointed cone; and (K∗)∗=K(K_*)_* = K(K∗​)∗​=K for a closed convex cone KKK.
  • Proposition 2.3.1 (p. 52): the optimal value of (D) is a lower bound on that of (CP).
  • Theorem 2.4.2 (p. 58): two nonempty disjoint convex sets in Rm\mathbb R^mRm are separated by a nonzero linear functional.
  • Proposition 2.4.1 (p. 59): cTx−bTλ=(Ax−b)Tλc^Tx - b^T\lambda = (Ax - b)^T\lambdacTx−bTλ=(Ax−b)Tλ for every primal-dual feasible pair.
  • Corollary 2.4.1 (p. 60): if both problems are strictly feasible, both are solvable with equal optimal values, and zero gap and complementary slackness each characterize optimal pairs.
  • Proposition 2.4.2 (pp. 61–62): λ≥K∗0\lambda \ge_{\mathbf K_*} 0λ≥K∗​​0, ATλ=0A^T\lambda = 0ATλ=0, λTb>0\lambda^Tb > 0λTb>0 is solvable exactly when Ax−b≥K0Ax - b \ge_{\mathbf K} 0Ax−b≥K​0 is not almost solvable (not solvable for every arbitrarily small perturbation of bbb in ∥⋅∥2\|\cdot\|_2∥⋅∥2​).
  • Proposition 2.4.3 (p. 63): cTx≥dc^Tx \ge dcTx≥d follows from a strictly feasible Ax≥KbAx \ge_{\mathbf K} bAx≥K​b if and only if it is an admissible aggregation ATλ=cA^T\lambda = cATλ=c, λTb≥d\lambda^Tb \ge dλTb≥d, λ≥K∗0\lambda \ge_{\mathbf K_*} 0λ≥K∗​​0.

Beyond the book

One strengthened variant is posed beside the goal: items 2 and 3.a of Theorem 2.4.1 for every matrix AAA, without Assumption A (finding F3: the printed proof of 3.a never uses the rank of AAA). The faithful theorem remains the goal.

Significance

The theorem gives, for any of the cones used in practice (nonnegative orthant, Lorentz cones, positive semidefinite matrices and their products), the existence of a dual certificate of optimality and the absence of a duality gap under strict feasibility. The rest of the book uses it constantly: the conic-quadratic and semidefinite representations of Lectures 3–4, the S-lemma, the analysis of semidefinite relaxations and the primal-dual path-following method of Lecture 6 all pass to a dual problem through it. Propositions 2.4.2 and 2.4.3 are the conic analogues of the theorem on alternatives and the inhomogeneous Farkas lemma.

The result is classical and fully proved in the book. Related statements are machine-checked on the platform in other forms: a Lagrangian strong duality under a generalized Slater condition (ConvexOptimization.conic_slater_strong_duality), duality for equality-form conic quadratic programs (ConicQuadIPM.Homogeneous.*), and the bipolar theorem for proper cones. None of them is the pair (CP)/(D) of this book with attainment in both directions and the optimality conditions of item 4. The mission produces the book's statement and its supporting results as a coherent, reusable layer for the rest of the series.

Difficulty

Weak duality and the gap identity are one-line computations. The content lies in items 3.a and 3.b. The obvious attempt—copying the LP proof via Farkas' lemma—fails because the image of a nonpolyhedral cone under a linear map need not be closed, so a limit of dual certificates need not be a certificate. The book's Example 2.4.1 is strictly feasible and bounded below with optimal value 000 but no optimal solution, and Example 2.4.2 is solvable with an infeasible dual: any argument that does not use strict feasibility essentially is wrong. Separation is needed in finite dimension for convex sets that are neither open nor closed, which is not the form in which Mathlib states it, and item 3.b, which the book obtains from 3.a by symmetry, depends on the dual-cone facts of Theorem 2.3.1, including (K∗)∗=K(\mathbf K_*)_* = \mathbf K(K∗​)∗​=K and int⁡K∗≠∅\operatorname{int}\mathbf K_* \ne \emptysetintK∗​=∅.

Formalization scope

Vectors are Fin m → ℝ, matrices Matrix (Fin m) (Fin n) ℝ, inner products ⬝ᵥ; the topology is the product (Euclidean) topology. The cone properties, the dual cone, feasibility, strict feasibility, boundedness, optimal solutions and optimal values are explicit predicates in one definition file, ModernConvex.ConicDuality.ConicProblem. Optimal values are never a real-valued sInf/sSup: "vvv is the optimal value" is IsGLB/IsLUB of the set of feasible objective values, which no real satisfies for an infeasible or unbounded problem, and "c∗=b∗c^* = b^*c∗=b∗" is stated through an optimal solution whose value is the other problem's infimum or supremum. A formalization that dropped strict feasibility, or that expressed the optimal values as sInf/sSup with their junk value 000, would make the conic duality theorem either false or trivially true; the targets rule this out by stating attainment and value equality as explicit predicates. Assumption A is Function.Injective A.mulVec, an explicit hypothesis wherever the book has it in force, including Propositions 2.4.2–2.4.3 per the book's Remark 2.4.1.

Needed infrastructure: finite-dimensional separation of convex sets (Mathlib has geometric_hahn_banach_open and relatives for open sets; the nonopen finite-dimensional case goes through relative interiors), dual-cone facts (Mathlib's innerDualCone lives on inner-product spaces, while this mission works on Fin m → ℝ with the dot product), and closedness arguments for cones. The definitions and Theorem 2.3.1 are reusable by the later missions of this series. Proofs of individual milestones, and proofs or refutations of the variant, are welcome.

Selected references

  • A. Ben-Tal, A. Nemirovski, Lectures on Modern Convex Optimization: Analysis, Algorithms, and Engineering Applications, MPS/SIAM Series on Optimization, SIAM, 2001. https://doi.org/10.1137/1.9780898718829
  • Yu. Nesterov, A. Nemirovskii, Interior-Point Polynomial Algorithms in Convex Programming, SIAM Studies in Applied Mathematics, SIAM, 1994. https://doi.org/10.1137/1.9781611970791
  • S. Boyd, L. Vandenberghe, Convex Optimization, Cambridge University Press, 2004. https://web.stanford.edu/~boyd/cvxbook/
  • R. T. Rockafellar, Convex Analysis, Princeton University Press, 1970. https://doi.org/10.1515/9781400873173
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Convex OptimizationOperations ResearchOptimization·Captain: Shuze Chen

Lectures on Modern Convex Optimization III: The Convex Hull of Conic Quadratic Representable SetsTextbook

Motivation

Conic quadratic programs (second-order cone programs) minimize a linear objective subject to finitely many constraints of the form ∥Dx−d∥2≤pTx−q\|Dx - d\|_2 \le p^Tx - q∥Dx−d∥2​≤pTx−q. They are solved by interior-point methods in polynomial time, and a large share of convex models in engineering, statistics and robust optimization can be rewritten in this form. Whether a given convex problem can be so rewritten is a question about its feasible set and objective: can they be described by conic quadratic inequalities, possibly after adding auxiliary variables? Ben-Tal and Nemirovski answer this question in Lecture 3 of Lectures on Modern Convex Optimization (SIAM, 2001, doi:10.1137/1.9780898718829) with a calculus of conic quadratic representability: a list of elementary representable sets and functions together with operations that preserve representability, each operation producing an explicit representation from given ones. The same calculus underlies modelling tools such as CVX and YALMIP.

The more advanced operations in §3.3 — conic hulls, projective transformations, polars, Legendre transformations, convex hulls of unions and recessive cones — are only nearly representability-preserving: each holds exactly under a closedness or strict feasibility condition, and otherwise produces a set sandwiched between the target and its closure. The rule for convex hulls of unions is credited in the book to Nesterov.

Setting

For m≥2m \ge 2m≥2 the ice cream cone (Lorentz cone) is Lm={x∈Rm∣xm≥x12+⋯+xm−12}L^m = \{x \in \mathbb R^m \mid x_m \ge \sqrt{x_1^2 + \cdots + x_{m-1}^2}\}Lm={x∈Rm∣xm​≥x12​+⋯+xm−12​​}. Let K=Lm1×⋯×LmN\mathbf K = L^{m_1} \times \cdots \times L^{m_N}K=Lm1​×⋯×LmN​ be a direct product of ice cream cones, and write y≥K0y \ge_{\mathbf K} 0y≥K​0 for y∈Ky \in \mathbf Ky∈K and y>K0y >_{\mathbf K} 0y>K​0 for y∈int⁡Ky \in \operatorname{int}\mathbf Ky∈intK.

A set X⊂RnX \subset \mathbb R^nX⊂Rn is CQr (conic quadratic representable) if there are such a K\mathbf KK, a number ppp of additional variables and data A,B,bA, B, bA,B,b with

X={x∈Rn∣∃u∈Rp:Ax+Bu+b≥K0};X = \{x \in \mathbb R^n \mid \exists u \in \mathbb R^p : Ax + Bu + b \ge_{\mathbf K} 0\};X={x∈Rn∣∃u∈Rp:Ax+Bu+b≥K​0};

the system is a conic quadratic representation (CQR) of XXX. No rank condition is imposed on it. A function f:Rn→R∪{+∞}f : \mathbb R^n \to \mathbb R \cup \{+\infty\}f:Rn→R∪{+∞} is CQr when its epigraph Epi⁡{f}={(x,t)∣f(x)≤t}\operatorname{Epi}\{f\} = \{(x,t) \mid f(x) \le t\}Epi{f}={(x,t)∣f(x)≤t} is.

For X⊂RnX \subset \mathbb R^nX⊂Rn the mission uses the convex hull Conv⁡(X)\operatorname{Conv}(X)Conv(X) and its closure; the conic hull X+={(x,t):t>0, t−1x∈X}∪{0}⊂Rn+1X^+ = \{(x,t) : t > 0,\ t^{-1}x \in X\} \cup \{0\} \subset \mathbb R^{n+1}X+={(x,t):t>0, t−1x∈X}∪{0}⊂Rn+1 and its closure X^+\widehat X^+X+; the polar X∗={y∣yTx≤1 ∀x∈X}X_* = \{y \mid y^Tx \le 1\ \forall x \in X\}X∗​={y∣yTx≤1 ∀x∈X}; and the recessive cone Rec⁡(X)={h∣x+th∈X ∀x∈X,t≥0}\operatorname{Rec}(X) = \{h \mid x + th \in X\ \forall x \in X, t \ge 0\}Rec(X)={h∣x+th∈X ∀x∈X,t≥0}. For fff as above it uses the Legendre transformation f∗(y)=sup⁡x[yTx−f(x)]f_*(y) = \sup_x [y^Tx - f(x)]f∗​(y)=supx​[yTx−f(x)] and the projective transformation f^+\widehat f^+f​+, whose epigraph is the closure of {(x,t,s)∣s>0, s−1(x,t)∈Epi⁡{f}}\{(x,t,s) \mid s > 0,\ s^{-1}(x,t) \in \operatorname{Epi}\{f\}\}{(x,t,s)∣s>0, s−1(x,t)∈Epi{f}}.

Formalization targets

Goal: Proposition 3.3.5 (pp. 99–100)

Let X1,…,Xk⊂RnX_1, \dots, X_k \subset \mathbb R^nX1​,…,Xk​⊂Rn be nonempty convex CQr sets, Xi={x∣∃ui:Aix+Biui+bi≥Ki0}X_i = \{x \mid \exists u_i : A_ix + B_iu_i + b_i \ge_{\mathbf K_i} 0\}Xi​={x∣∃ui​:Ai​x+Bi​ui​+bi​≥Ki​​0}, and let

Y={x  ∣  ∃ξi,ti,ηi: Aiξi+Biηi+tibi≥Ki0, ti≥0 (i=1,…,k), ∑iξi=x, ∑iti=1}.Y = \Bigl\{x \;\Bigm|\; \exists \xi^i, t_i, \eta^i :\ A_i\xi^i + B_i\eta^i + t_ib_i \ge_{\mathbf K_i} 0,\ t_i \ge 0\ (i = 1,\dots,k),\ \textstyle\sum_i \xi^i = x,\ \sum_i t_i = 1\Bigr\}.Y={x​∃ξi,ti​,ηi: Ai​ξi+Bi​ηi+ti​bi​≥Ki​​0, ti​≥0 (i=1,…,k), ∑i​ξi=x, ∑i​ti​=1}.

Then

Conv⁡(⋃i=1kXi)⊂Y⊂cl⁡Conv⁡(⋃i=1kXi),\operatorname{Conv}\Bigl(\bigcup_{i=1}^k X_i\Bigr) \subset Y \subset \operatorname{cl}\operatorname{Conv}\Bigl(\bigcup_{i=1}^k X_i\Bigr),Conv(i=1⋃k​Xi​)⊂Y⊂clConv(i=1⋃k​Xi​),

and if (i) all XiX_iXi​ are closed and bounded, or (ii) Xi=Zi+WX_i = Z_i + WXi​=Zi​+W with ZiZ_iZi​ closed and bounded and WWW convex and closed, all three sets are equal and CQr.

Milestones

  1. Lemma 3.3.1 (p. 95): if Qv∈KQv \in \mathbf KQv∈K only when Qv=0Qv = 0Qv=0, then ∥Qv∥2≤C(1+∥Py+r∥2)\|Qv\|_2 \le C(1 + \|Py + r\|_2)∥Qv∥2​≤C(1+∥Py+r∥2​) on the solution set of Py+Qv+r≥K0Py + Qv + r \ge_{\mathbf K} 0Py+Qv+r≥K​0, and the projection {y∣∃v:Py+Qv+r≥K0}\{y \mid \exists v : Py + Qv + r \ge_{\mathbf K} 0\}{y∣∃v:Py+Qv+r≥K​0} is closed.
  2. Proposition 3.3.1 (p. 94): for nonempty CQr XXX, X+⊂X~+⊂X^+X^+ \subset \widetilde X^+ \subset \widehat X^+X+⊂X+⊂X+ with X~+={(x,t)∣t≥0,∃u:Ax+Bu+tb≥K0}\widetilde X^+ = \{(x,t) \mid t \ge 0, \exists u : Ax + Bu + tb \ge_{\mathbf K} 0\}X+={(x,t)∣t≥0,∃u:Ax+Bu+tb≥K​0}, with equality X~+=X^+\widetilde X^+ = \widehat X^+X+=X+ when Bu∈KBu \in \mathbf KBu∈K forces Bu=0Bu = 0Bu=0.
  3. Proposition 3.3.2 (p. 96): Epi⁡{f^+}={(x,t,s)∣s≥0,∃u:Ax+tp+Bu+sb≥K0}\operatorname{Epi}\{\widehat f^+\} = \{(x,t,s) \mid s \ge 0, \exists u : Ax + tp + Bu + sb \ge_{\mathbf K} 0\}Epi{f​+}={(x,t,s)∣s≥0,∃u:Ax+tp+Bu+sb≥K​0}.
  4. Proposition 3.3.3 (p. 97): under strict feasibility, X∗={y∣∃ξ:ATξ+y=0,BTξ=0,bTξ≤1,ξ≥K0}X_* = \{y \mid \exists \xi : A^T\xi + y = 0, B^T\xi = 0, b^T\xi \le 1, \xi \ge_{\mathbf K} 0\}X∗​={y∣∃ξ:ATξ+y=0,BTξ=0,bTξ≤1,ξ≥K​0}.
  5. Proposition 3.3.4 (p. 98): under strict feasibility, Epi⁡{f∗}={(y,s)∣∃ξ:ATξ=−y,BTξ=0,pTξ=1,s≥bTξ,ξ≥K0}\operatorname{Epi}\{f_*\} = \{(y,s) \mid \exists \xi : A^T\xi = -y, B^T\xi = 0, p^T\xi = 1, s \ge b^T\xi, \xi \ge_{\mathbf K} 0\}Epi{f∗​}={(y,s)∣∃ξ:ATξ=−y,BTξ=0,pTξ=1,s≥bTξ,ξ≥K​0}.
  6. Proposition 3.3.6 (p. 102): if Bu∈KBu \in \mathbf KBu∈K forces Bu=0Bu = 0Bu=0, then XXX is closed and Rec⁡(X)={h∣∃v:Ah+Bv≥K0}\operatorname{Rec}(X) = \{h \mid \exists v : Ah + Bv \ge_{\mathbf K} 0\}Rec(X)={h∣∃v:Ah+Bv≥K​0}.

Significance

The goal shows that a disjunction of conic quadratic constraints — "xxx lies in one of X1,…,XkX_1, \dots, X_kX1​,…,Xk​" — can be convexified exactly, under a compactness-type condition, by a conic quadratic system whose size is the sum of the sizes of the given representations. This is the conic quadratic analogue of Balas's disjunctive programming formulation for polyhedra and is the basis of perspective reformulations in mixed-integer conic optimization. The milestones are the other closure rules of the calculus: they let a modeller pass to conic hulls, perspectives, polars, conjugates and recession cones without leaving the conic quadratic class, always with an explicit representation.

These results are classical and proved in the book; none of them is formalized on the platform, and there is no formal library of conic quadratic representability. The mission produces that library's core definitions and its main closure theorems as machine-checked statements. Propositions 3.3.3 and 3.3.4 depend on conic duality, which a companion mission of this series (II: The Conic Duality Theorem) states.

Difficulty

The inclusions are not symmetric in difficulty. Conv⁡(⋃Xi)⊂Y\operatorname{Conv}(\bigcup X_i) \subset YConv(⋃Xi​)⊂Y is a direct substitution, but YYY contains points with some ti=0t_i = 0ti​=0, where the block inequality Aiξi+Biηi≥Ki0A_i\xi^i + B_i\eta^i \ge_{\mathbf K_i} 0Ai​ξi+Bi​ηi≥Ki​​0 no longer certifies membership in any XiX_iXi​; such points are only limits of convex combinations, and showing they lie in the closure requires the nonemptiness of every XiX_iXi​. The equality under (i) or (ii) is a closedness statement for a convex hull, which fails in general (two closed convex sets can have a non-closed convex hull of their union), so the compactness of the ZiZ_iZi​ must be used. Closedness of projections (Lemma 3.3.1) is the analogous obstacle in the milestones: the projection of a closed convex set is not closed in general.

Formalization scope

Vectors are Fin n → ℝ; the Euclidean norm is written out (eucNorm) because Mathlib's norm on this type is the sup norm. A product of ice cream cones is a structure IceCreamProduct with NNN factors of dimensions mj=dj+1≥2m_j = d_j + 1 \ge 2mj​=dj​+1≥2, its vectors indexed by (block, coordinate) pairs, the last coordinate of each block being the dominant one. cqrSet K A B b is the represented set and IsCQr X says XXX equals some cqrSet; the existential is over the fixed shape (finitely many Lorentz factors and an affine map), so an arbitrary set is not CQr by fiat. Pairs (x,t)(x,t)(x,t) of the conic hull are vectors of Fin (n+1) → ℝ with last coordinate ttt. Functions into R∪{+∞}\mathbb R \cup \{+\infty\}R∪{+∞} are EReal-valued and assumed never −∞-\infty−∞; the Legendre transformation is an EReal supremum, in which points with f(x)=+∞f(x) = +\inftyf(x)=+∞ contribute −∞-\infty−∞. Conv is convexHull ℝ, and closures are topological closures. Every "is CQr" conclusion is stated together with the book's explicit representation as an equality or sandwich of sets; stating "is CQr" alone would be a weaker theorem.

Beyond the paper. Proposition 3.3.2 as printed omits Epi⁡{f}≠∅\operatorname{Epi}\{f\} \neq \emptysetEpi{f}=∅ and is false for f≡+∞f \equiv +\inftyf≡+∞ (the right-hand side contains (0,0,0)(0,0,0)(0,0,0) while the left-hand side is empty; a Lean refutation of the formal statement was built during drafting). The faithful statement is kept as a milestone, and a corrected variant adds the missing hypothesis.

Reusable beyond this mission: the definitions of ice cream products, CQr sets, conic hull, polar, recessive cone and projective/Legendre transformations, and Lemma 3.3.1 as a closedness criterion. Contributions toward a general "closed projection" lemma and conic duality for products of Lorentz cones are welcome.

Selected references

  • A. Ben-Tal, A. Nemirovski, Lectures on Modern Convex Optimization: Analysis, Algorithms, and Engineering Applications, MPS/SIAM Series on Optimization, SIAM, 2001, §3.3, pp. 86–103. doi:10.1137/1.9780898718829
  • Yu. Nesterov, A. Nemirovski, Interior-Point Polynomial Algorithms in Convex Programming, SIAM Studies in Applied Mathematics, 1994. doi:10.1137/1.9781611970791
  • M. S. Lobo, L. Vandenberghe, S. Boyd, H. Lebret, Applications of second-order cone programming, Linear Algebra and its Applications 284 (1998), 193–228. doi:10.1016/S0024-3795(98)10032-0
  • E. Balas, Disjunctive programming: properties of the convex hull of feasible points, Discrete Applied Mathematics 89 (1998), 3–44. doi:10.1016/S0166-218X(98)00136-X
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Convex OptimizationLinear OptimizationOperations Research+1·Captain: Shuze Chen

Lectures on Modern Convex Optimization I: The Linear Programming Duality TheoremTextbook

Why linear programming duality

Every linear program comes with a second linear program, its dual, whose feasible points certify lower bounds on the first program's optimal value. The duality theorem says that these certificates are complete: the best bound equals the optimal value whenever either is finite. It is the reason an LP solver can return a proof of optimality alongside a solution, the basis of sensitivity analysis and of primal–dual algorithms, and the template for every duality theory in convex optimization.

This mission opens a series formalizing A. Ben-Tal and A. Nemirovski, Lectures on Modern Convex Optimization (SIAM 2001, doi:10.1137/1.9780898718829). Lecture 1 develops LP duality from a theorem on the alternative for mixed strict and non-strict linear inequalities, and proves that theorem from the homogeneous Farkas lemma by way of the theorems of Helly and Radon. Lecture 2 reruns the same argument for conic programs, so the statements here are the ones later missions of the series generalize.

Setting

Let A∈Rm×nA \in \mathbb R^{m\times n}A∈Rm×n have rows a1T,…,amTa_1^T, \dots, a_m^Ta1T​,…,amT​, and let b∈Rmb \in \mathbb R^mb∈Rm, c∈Rnc \in \mathbb R^nc∈Rn. Vector inequalities are componentwise. The LP program and its dual are

(LP)min⁡x{cTx∣Ax≥b},(LP∗)max⁡y{bTy∣ATy=c, y≥0}.\text{(LP)}\quad \min_x\{c^Tx \mid Ax \ge b\}, \qquad \text{(LP}^*)\quad \max_y\{b^Ty \mid A^Ty = c,\ y \ge 0\}.(LP)xmin​{cTx∣Ax≥b},(LP∗)ymax​{bTy∣ATy=c, y≥0}.

A point xxx with Ax≥bAx \ge bAx≥b is feasible, and (LP) is feasible if such a point exists. (LP) is bounded below if cTxc^TxcTx is bounded below on the feasible set. It is solvable if some feasible point minimizes cTxc^TxcTx. A real aaa is a lower bound on the optimal value c∗c^*c∗ if cTx≥ac^Tx \ge acTx≥a for every feasible xxx. The optimal value is c∗=inf⁡{cTx:Ax≥b}c^* = \inf\{c^Tx : Ax \ge b\}c∗=inf{cTx:Ax≥b}, which is +∞+\infty+∞ for an infeasible and −∞-\infty−∞ for an unbounded program. The same notions apply to the dual with "bounded above" and "maximizes". No rank condition is imposed on AAA.

The system on the alternative is

(S):aiTx>bi (i≤ms),aiTx≥bi (ms<i≤m),(\mathcal S):\quad a_i^Tx > b_i\ (i \le m_s),\qquad a_i^Tx \ge b_i\ (m_s < i \le m),(S):aiT​x>bi​ (i≤ms​),aiT​x≥bi​ (ms​<i≤m),

and its two certificate systems in λ∈Rm\lambda \in \mathbb R^mλ∈Rm are

TI: λ≥0, ∑iλiai=0, ∑iλibi≥0, ∑i≤msλi>0;TII: λ≥0, ∑iλiai=0, ∑iλibi>0.\mathcal T_{\rm I}:\ \lambda \ge 0,\ \textstyle\sum_i\lambda_ia_i = 0,\ \sum_i\lambda_ib_i \ge 0,\ \sum_{i\le m_s}\lambda_i > 0;\qquad \mathcal T_{\rm II}:\ \lambda \ge 0,\ \sum_i\lambda_ia_i = 0,\ \sum_i\lambda_ib_i > 0.TI​: λ≥0, ∑i​λi​ai​=0, ∑i​λi​bi​≥0, ∑i≤ms​​λi​>0;TII​: λ≥0, ∑i​λi​ai​=0, ∑i​λi​bi​>0.

In Lean, vectors are functions Fin n → ℝ, cTxc^TxcTx is c ⬝ᵥ x, and the definitions live in ModernConvex.LPDuality.LinearProgram and ModernConvex.LPDuality.AlternativeSystems.

Formalization targets

Goal: Theorem 1.3.2, the duality theorem in linear programming (p. 18)

  1. The duality is symmetric. Write (LP∗^*∗) as min⁡{−bTy∣A′y≥b′}\min\{-b^Ty \mid A'y \ge b'\}min{−bTy∣A′y≥b′} with A′=[Im;AT;−AT]A' = [I_m; A^T; -A^T]A′=[Im​;AT;−AT] and b′=(0;c;−c)b' = (0; c; -c)b′=(0;c;−c). The dual of this program, in w=(ξ,η,ζ)w = (\xi, \eta, \zeta)w=(ξ,η,ζ), is mapped onto (LP) by x=ζ−ηx = \zeta - \etax=ζ−η, with objective b′Tw=−cTxb'^Tw = -c^Txb′Tw=−cTx.
  2. Weak duality. bTy≤cTxb^Ty \le c^TxbTy≤cTx for every primal feasible xxx and dual feasible yyy.
  3. Strong duality. The following are equivalent: (i) the primal is feasible and bounded below; (ii) the dual is feasible and bounded above; (iii) the primal is solvable; (iv) the dual is solvable; (v) both are feasible. When they hold, there is a real vvv with
v=inf⁡{cTx∣Ax≥b}=sup⁡{bTy∣ATy=c, y≥0}.v = \inf\{c^Tx \mid Ax \ge b\} = \sup\{b^Ty \mid A^Ty = c,\ y \ge 0\}.v=inf{cTx∣Ax≥b}=sup{bTy∣ATy=c, y≥0}.

Milestones, in the book's order of proof

  • Theorem 1.4.3 (Radon, p. 38): any m≥n+2m \ge n+2m≥n+2 points of Rn\mathbb R^nRn split into two nonempty parts whose convex hulls meet.
  • Theorem 1.4.2 (Helly, p. 37): if every k≤n+1k \le n+1k≤n+1 of finitely many convex sets in Rn\mathbb R^nRn have a common point, then all of them do.
  • Lemma 1.4.1 (homogeneous Farkas lemma, p. 34): the system aTx<0, aiTx≥0a^Tx < 0,\ a_i^Tx \ge 0aTx<0, aiT​x≥0 is infeasible if and only if a=∑iλiaia = \sum_i\lambda_ia_ia=∑i​λi​ai​ for some λ≥0\lambda \ge 0λ≥0.
  • Proposition 1.3.1 (pp. 13–14): if TI\mathcal T_{\rm I}TI​ or TII\mathcal T_{\rm II}TII​ is solvable, then (S)(\mathcal S)(S) is infeasible.
  • Theorem 1.3.1 (general theorem on the alternative, p. 14): (S)(\mathcal S)(S) is infeasible if and only if TI\mathcal T_{\rm I}TI​ or TII\mathcal T_{\rm II}TII​ is solvable.
  • Proposition 1.3.2 (p. 17): the solutions (y,a)(y, a)(y,a) of y≥0y \ge 0y≥0, ATy=cA^Ty = cATy=c, bTy≥ab^Ty \ge abTy≥a give exactly the lower bounds aaa on the optimal value of a feasible (LP).
  • Proposition 1.3.3 (p. 17): bTyb^TybTy is a lower bound on c∗c^*c∗ for every dual feasible yyy, and when (LP) is feasible, every a≤c∗a \le c^*a≤c∗ is dominated by some bTyb^TybTy.
  • Theorem 1.4.1 (Bernshtein, p. 31): ∥f′∥∞≤k∥f∥∞\|f'\|_\infty \le k\|f\|_\infty∥f′∥∞​≤k∥f∥∞​ on [0,2π][0, 2\pi][0,2π] for every trigonometric polynomial fff of degree ≤k\le k≤k. This milestone is off the duality path. The book uses it to bound the grid size when uniform approximation is discretized.

Significance

LP duality underlies most of the book's later material. The conic duality theorem of Lecture 2 has the same statement with the nonnegative orthant replaced by a cone. Robust counterparts, the S-lemma and the semidefinite relaxations of Lecture 4 are all proved by dualizing an inner problem. A machine-checked version in exactly this form, with explicit predicates for "bounded" and "solvable", is the base that later missions of the series can cite.

The results here are classical and proved. The platform already has proved LP duality theorems, in other standard forms: LinearOptimization.lp_strong_duality (general form with equalities), MatousekLP.Duality.duality_theorem (max/≤\le≤ form, four-case statement) and VanderbeiLP.StrictComp.strong_duality. It has Farkas lemmas in several forms (LinearOptimization.farkas_cone_corollary, which is one direction of Lemma 1.4.1, and MatousekLP.Duality.farkas_geometric). It also has Helly and Radon in Mathlib's form (FamousTheorems.helly_theorem, which assumes at least dim⁡+1\dim + 1dim+1 sets and subfamilies of size exactly dim⁡+1\dim + 1dim+1; FamousTheorems.radon_theorem, which assumes affine dependence). The open MangasarianFJ.GenFJ.motzkin_transposition is a related alternative theorem. None of them states the book's inequality-form pair (LP)/(LP∗^*∗), the five-way equivalence, or the mixed strict/non-strict theorem on the alternative. These are the remaining work. Several of them should follow quickly from the existing items, and solvers are encouraged to reuse them.

Difficulty

The obstacle is the existence of certificates of infeasibility. Proposition 1.3.1 is a one-line computation, but its converse, Theorem 1.3.1, is not: the existence of a certificate is a global statement about the system that no local computation produces. The mixed system needs care: when ms=0m_s = 0ms​=0 only TII\mathcal T_{\rm II}TII​ can certify, and the homogenization that reduces Theorem 1.3.1 to the Farkas lemma has to keep strict and non-strict rows apart. In the duality theorem, the step from "feasible and bounded below" to "solvable" is where attainment must be shown. It is true for LPs and false for general convex programs (min⁡{1/x∣x≥1}\min\{1/x \mid x \ge 1\}min{1/x∣x≥1}), so a proof cannot avoid the linear structure.

The book's own proof of item 1 has a sign slip. The displayed dual of the rewritten (LP∗^*∗) has the constraint ξ−Aη+Aζ=−b\xi - A\eta + A\zeta = -bξ−Aη+Aζ=−b with x=η−ζx = \eta - \zetax=η−ζ, which describes max⁡{cTx∣Ax≥b}\max\{c^Tx \mid Ax \ge b\}max{cTx∣Ax≥b} rather than a program equivalent to (LP). The formal statement uses the correct computation, ξ+Aη−Aζ=−b\xi + A\eta - A\zeta = -bξ+Aη−Aζ=−b with x=ζ−ηx = \zeta - \etax=ζ−η.

Formalization scope

Vectors are Fin n → ℝ. Indices are 0-based, so the strict rows of (S)(\mathcal S)(S) are i < ms, and ms ≤ m is a hypothesis. Optimal values are never written as sInf/sSup, whose junk value 000 on empty or unbounded sets would make the equal-values clause trivially true. A lower bound is the predicate ∀x, Ax≥b⇒a≤cTx\forall x,\ Ax \ge b \Rightarrow a \le c^Tx∀x, Ax≥b⇒a≤cTx. "vvv is the optimal value" is IsGLB/IsLUB of the set of objective values, which no real satisfies for an infeasible or unbounded program. Item 1 of the goal is not formalized as True. It states the explicit feasible-set correspondence that "equivalent" means in the book's proof. The five properties are a List.TFAE.

In Bernstein's theorem the sup-norm inequality is stated as "every bound MMM on ∣f∣|f|∣f∣ over [0,2π][0, 2\pi][0,2π] gives the bound kMkMkM on ∣f′∣|f'|∣f′∣". Coefficients are complex, which covers the real case.

The book prints the trigonometric polynomial as a0+∑l=1k[a0cos⁡(lt)+b0sin⁡(lt)]a_0 + \sum_{l=1}^k[a_0\cos(lt) + b_0\sin(lt)]a0​+∑l=1k​[a0​cos(lt)+b0​sin(lt)], with the same two coefficients in every term. This is a subscript typo: the theorem is stated for every trigonometric polynomial of degree ≤k\le k≤k, and its own tightness example cos⁡(kt)\cos(kt)cos(kt) is not of the printed form for k≥2k \ge 2k≥2. The formal statement uses general coefficients al,bla_l, b_lal​,bl​.

A complete development needs only Mathlib's finite-dimensional linear algebra and convexity (convexHull, Convex). The definitions of the LP pair and of the alternative systems are reusable by any later mission that dualizes a linear inner problem.

Selected references

  • A. Ben-Tal, A. Nemirovski, Lectures on Modern Convex Optimization: Analysis, Algorithms, and Engineering Applications, MPS/SIAM Series on Optimization, SIAM, 2001. doi:10.1137/1.9780898718829
  • J. Farkas, Theorie der einfachen Ungleichungen, J. Reine Angew. Math. 124 (1902), 1–27. doi:10.1515/crll.1902.124.1
  • E. Helly, Über Mengen konvexer Körper mit gemeinschaftlichen Punkten, Jahresber. Dtsch. Math.-Ver. 32 (1923), 175–176. eudml:145659
  • J. Radon, Mengen konvexer Körper, die einen gemeinsamen Punkt enthalten, Math. Ann. 83 (1921), 113–115. doi:10.1007/BF01464231
  • A. Schrijver, Theory of Linear and Integer Programming, Wiley, 1986 (Ch. 7, the theorems on the alternative and LP duality). ISBN 978-0-471-98232-6
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Complexity TheoryTheoretical Computer Science·Captain: marwahaha

Integer multiplication: κ = 1/2^129Open Problem

Motivation

Multiplying two binary integers is a basic task in computational complexity. The relevant resource here is the number of individual steps made by a machine whose tapes can only be accessed through moving heads. Harvey and van der Hoeven established an O(nlog⁡n)O(n\log n)O(nlogn) bound in this model. The OpenAI manuscript proposes a positive saving in the exponent of the logarithm. Subsequent constructions explore larger savings. The formalization target is the complete computation and its time bound, including the analytic and implementation arguments needed to connect a finite construction to every input length.

Setting

A deterministic multitape Turing machine has a fixed finite alphabet, a fixed finite state set, and a fixed finite number of tapes. Each tape extends in one direction and has one head. A step reads the symbols under the heads, changes state, writes at those positions, and moves each head by at most one cell. The alphabet contains distinct blank, start-marker, zero, one, and separator symbols. Tape zero is the read-only input tape; tape one is the output tape; further tapes are available for work. The halting state freezes the configuration.

An input consists of two bit strings x,yx,yx,y of the same positive length nnn, separated by #\##. The strings are read most significant bit first, with leading zeros permitted. If val⁡(x)\operatorname{val}(x)val(x) denotes the represented natural number, the required output is exactly the 2n2n2n-bit binary representation of val⁡(x)val⁡(y)\operatorname{val}(x)\operatorname{val}(y)val(x)val(y), padded with leading zeros and followed by blanks. All tapes begin with a preserved start marker. Define L(n)=max⁡(⌈log⁡2n⌉,1)L(n)=\max(\lceil\log_2 n\rceil,1)L(n)=max(⌈log2​n⌉,1).

Target

The full target is

IntMul.KappaBound(value).\mathrm{IntMul.KappaBound}({{value}}).IntMul.KappaBound(value).

This asserts the existence of one machine that computes the exact product correctly for every positive input length, together with constants c>0c>0c>0 and n0n_0n0​ such that every pair of nnn-bit inputs, for n≥n0n\ge n_0n≥n0​ and n≥1n\ge1n≥1, halts within

c n L(n)1−valuec\,n\,L(n)^{1-{{value}}}cnL(n)1−value

steps. Constants, alphabet, states, and tape count are independent of the input length. The number is an exact real value. Larger κ\kappaκ gives a stronger asymptotic saving because L(n)≥1L(n)\ge1L(n)≥1.

Each entry supplies its own exact numerical value and identifies the construction that motivates it. Historical and new entries use the same machine definition. A proposed value may be recorded while its complete proof is still open; it becomes a proved record only when the goal has a verified proof. Numerical certificates are supporting results with their own scope, and do not establish a complete machine time bound.

Significance

A proof for any positive value would give a strict asymptotic improvement over nlog⁡nn\log nnlogn. Such an improvement would contradict the proposed Ω(nlog⁡n)\Omega(n\log n)Ω(nlogn) lower bound, while remaining consistent with the known upper bound. The tracked value concerns asymptotic growth; it does not measure the runtime of a practical implementation. No claim about a currently fastest implementation follows from a larger saving.

Formalizing the full target connects exact finite calculations to a uniform algorithm. The community repository explicitly treats the original framework and remaining all-size interfaces as assumptions of its current evidence. In this mission those steps must be proved before the goal can be marked Proved. They are not added as hypotheses that would weaken the full target. Earlier published theorem statements and finite certificates may be reused with their original attribution and proof status.

Difficulty

A finite network certificate can establish a concrete role count or a rational margin, but does not itself supply a machine for every input length. A complete proof must establish correctness of the recursive construction, admissibility of its parameters, precision and error guarantees, and the cost of moving data on tapes. Counts of algebraic operations alone do not account for this last resource. The difficult connection is between these separate contracts and the single uniform machine quantified by the goal.

Formalization scope

The goal imports the existing public Definitions.Def_IntMul_MultitapeModel bundle and uses IntMul.KappaBound directly. No alternative machine or cost model is introduced. Natural numbers describe input lengths, head positions, and step counts; real numbers describe the asymptotic constant and exponent. The real power has base at least one. Correctness is required even below the asymptotic threshold. Inputs of length zero and malformed inputs are outside the specified task.

The input and output conventions exclude a machine that merely decides a predicate about the product. The entire output tape must contain the required product and then blanks. Neither failure to halt nor correctness on a finite collection of test inputs meets the target. The work tapes and final head positions are unconstrained. Reusable contributions include machine composition with explicit costs, exact encodings, analytic estimates, and proofs that the finite certificates imply the contracts required by the recursive algorithm. Every such contribution should state its own assumptions and conclusion explicitly.

Selected references

  • D. Harvey and J. van der Hoeven, Integer multiplication in time O(n log n), Annals of Mathematics 193(2), 563–617 (2021). Paper.
  • OpenAI, Integer multiplication below n log n, preprint (23 September 2026), pinned manuscript revision adc7f1241b42e322a6451854ab7e4b4c146bf78a. Source.
  • D. Colkitt and community contributors, A sharper exponent for integer multiplication, research repository (2026), revision 56b66d58297deca1d7dd130247d720e960f77a37. Checkpoint and attribution.
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Quantum Information·Captain: Goku

Schwartz operatorsResearch Paper

Motivation

In this paper we introduce Schwartz operators as a non-commutative analog of Schwartz functions and provide a detailed discussion of their properties. We equip them in particular with a number of different (but equivalent) families of seminorms which turns the space of Schwartz operators into a Frechet space. The study of the topological dual leads to non-commutative tempered distributions which are discussed in detail as well. We show in particular that the latter can be identified with a certain class of quadratic forms, therefore making operations like products with bounded (and also some unbounded) operators and quantum harmonic analysis available to objects which are otherwise too singular for being a Hilbert space operator. Finally we show how the new methods can be applied by studying operator moment problems and convergence properties of fluctuation operators.

This mission is the statement-level formalization of Schwartz operators (arXiv:1503.04086v1). Every numbered result of the paper was scanned. The results stated here are open sorry goals, ready for solvers to prove.

What is formalized

10 statements of the paper are in Lean 4 (Mathlib 0df444a). The goal theorem is The form topology makes Schwartz operators a Frechet space (Proposition 3.3, PDF p. 11). The milestones are the other numbered results, in the paper's order, each quoting the paper.

The paper's own objects are the definition item of this mission. Objects shared across papers come from the prove2quantum library and from earlier papers' missions, listed as references.

Provenance: prove2quantum's pipeline drafted each statement (gpt-6.1-sol on Stanford's Sherlock cluster). A blind read-back, written without seeing the paper, is attached to every item. An independent moderator compared each statement against the paper and passed the whole paper without edits.

Deferred results

51 results of the paper are not stated yet, because the library lacks an interface they need:

  • Proposition 2.3: Canonical Hermite basis in L2 and Schwartz space, and finite-subset expansions (hard)
  • Proposition 2.4: Schwartz algebraic tensor injection and its Hilbert tensor identification (hard)
  • Lemma 2.6: Hilbert structure on the actual Hilbert--Schmidt ideal, kernel unitary and Hermite matrix unitary (hard)
  • Lemma 2.7: HS-to-scaled-phase-L2 Weyl unitary with the U(id tensor F*)V kernel factorization (hard)
  • Lemma 3.5: Full singular-value decomposition interface and continuous adjoint/composition on the form topology (hard)
  • Proposition 3.7: Actual L2 kernels and Hermite coefficient maps with Schwartz onto homeomorphisms (hard)
  • Proposition 3.8: Hermite matrix units as Schwartz operators and unordered finite-subset expansions (hard)
  • Proposition 3.10: Canonical maximal Q/P and oscillator domains, Hermite weights and all three one-sided topologies (hard)
  • Proposition 3.11: Adjoints of natural right products, their bounded extensions, and right-range oscillator/matrix topologies (hard)
  • Proposition 3.13: Densely defined adjoints, graph closure and natural products with a Schwartz operator (hard)
  • Proposition 3.14: Closure of the ordered natural-domain product ATB* (hard)
  • Corollary 3.16: Actual singular-value sequences for compact operators and dyadic-power summability (hard)
  • Corollary 3.17: Complex trace pairing and closures of TA and AT for unbounded A (hard)
  • Proposition 3.18: Concrete full HS Weyl transform and its Schwartz restriction homeomorphism (hard)
  • Lemma 3.19: Ground-projection operator convolution as a Schwartz-valued map with dense range (hard)
  • Corollary 3.20: Both-sided oscillator relative boundedness and unbounded trace cycling (hard)
  • Proposition 3.21: Proposition 3.21 source-convention decision (source-ambiguity)
  • Proposition 3.24: Source O_MR/O_ML multiplier classes with canonical oscillator domains (hard)
  • Proposition 3.25: Proposition 3.25 source-convention decision (source-ambiguity)
  • Proposition 4.2: Analytic moments, arbitrary canonical words, and HS norms of R^A sqrt(T) (hard)
  • Proposition 4.3: Minimal purification, amplified canonical domains and analytic-vector span (hard)
  • Theorem 4.4: Actual canonical polynomial moment traces and independent analytic Schwartz predicate (hard)
  • Proposition 5.1: Complex-linear weak-* dual of the form Schwartz space and concrete transpose isomorphisms (hard)
  • Proposition 5.2: Weak-* coefficient reconstruction with the trace-pairing transposition correction (source-ambiguity)
  • Proposition 5.3: Weak-* dual precomposition operations for all listed source multipliers and derivatives (hard)
  • Proposition 5.4: Source-reflected transpose Fourier/Weyl/quantization transforms on weak duals (hard)
  • Proposition 5.6: Proposition 5.6 source-convention decision (source-ambiguity)
  • Proposition 5.7: Weak Weyl-translation derivative of parity and quantization of delta derivatives (hard)
  • Proposition 5.8: All four allowed distribution/Schwartz convolution maps and weak-* topologies (hard)
  • Proposition 5.9: All concrete reflected Fourier/Weyl distribution-convolution identities (hard)
  • Proposition 5.10: Weak-dual convolution by the actual oscillator ground projection (hard)
  • Proposition 5.12: Complex trace sandwich distributions and full HS regularity representation (hard)
  • Proposition 5.15: Sesquilinear kernel theorem with oscillator inverse powers and both weak-dual bijections (hard)
  • Theorem 5.16: Two-sided polynomially bounded operator distributions and finite derivative representation (hard)
  • Proposition 5.17: Fixed-weight Hermite-diagonal finite-rank cutoffs and weak-* precomposition limits (hard)
  • Proposition 6.1: Position spectral densities as distributions with actual kernel and normalized Wigner maps (hard)
  • Corollary 6.2: Complex spectral trace and diagonal of the actual Schwartz kernel (hard)
  • Proposition 6.3: Constructed symmetric-spin/Hermite canonical approximants and distribution traces (hard)
  • Proposition 6.4: Actual spectral measures of the embedded spin approximants and their complex trace measures (hard)
  • Corollary 6.5: Common shrinking-interval and positive-spin sequences for all Schwartz trace tests (hard)
  • SchattenSeminormTopology: Weighted-product trace norms and tuple-oscillator trace-class estimate (hard)
  • OscillatorSeminormTopology: Tuple and total-oscillator powers on their actual domains and two HS seminorm topologies (hard)
  • SchwartzConvolutionContinuity: Both classical/quantum Schwartz convolution maps with an arbitrary fixed Schwartz operator (hard)
  • WignerWeylCorrespondence: Full source-normalized Weyl quantization and Wigner homeomorphisms, traces and kernel (hard)
  • DifferentialConvolutionIdentities: DifferentialConvolutionIdentities source-convention decision (source-ambiguity)
  • OperatorsAsDistributions: Complex trace embeddings of all operator ideals and one-/two-sided unbounded Schwartz restrictions (hard)
  • DeltaWeylCorrespondence: All shifted-delta transpose transforms and parity/Weyl operator distributions (hard)
  • PositiveCorrespondence: Translation actions, weak-dual positivity and both positive convolution correspondences (hard)
  • Remark 5.13: Bounded-operator version of the full polynomial-sandwich distribution representation (hard)
  • DeltaParityApproximation: Actual quantized scaled Gaussian symbols and weak-dual parity approximation (hard)
  • Section 5.5.1, scaled approximate identity: Classical and operator weak-* approximate-identity convolution interfaces (hard)

Selected references

  • Schwartz operators, arXiv:1503.04086v1, https://arxiv.org/abs/1503.04086v1
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Relating quantum privacy and quantum coherence: an operational approachResearch Paper

Motivation

We describe how to achieve optimal entanglement generation and one-way entanglement distillation rates by coherent implementation of a class of secret key generation and secret key distillation protocols, respectively. This short paper is a high-level descrioption of our detailed papers [8] and [10].

This mission is the statement-level formalization of Relating quantum privacy and quantum coherence: an operational approach (arXiv:quant-ph/0307053v1). Every numbered result of the paper was scanned. The results stated here are open sorry goals, ready for solvers to prove.

What is formalized

8 statements of the paper are in Lean 4 (Mathlib 0df444a). The goal theorem is Coherent information is achievable in all four resource conversions (Conclusion; scenarios 1–4, PDF p. 4). The milestones are the other numbered results, in the paper's order, each quoting the paper.

The paper's own objects are the definition item of this mission. Objects shared across papers come from the prove2quantum library and from earlier papers' missions, listed as references.

Provenance: prove2quantum's pipeline drafted each statement (gpt-6.1-sol on Stanford's Sherlock cluster). A blind read-back, written without seeing the paper, is attached to every item. An independent moderator compared each statement against the paper and passed the whole paper without edits.

Deferred results

2 results of the paper are not stated yet, because the library lacks an interface they need:

  • Equation (2), PA sets; size assertion continues on p.3: A distinct uniform PA subset with the printed IID environmental reference, with its finite-size and typical-set conventions fixed. (source-ambiguity)
  • Every-l,t Fourier-code substitution claim and footnote [16]: A complete arbitrary-source l,t coherent code family with specified finite branch law and uniformly good ancillary decoupling, sufficient for any claimed real-message coherification premise. (source-ambiguity)

Selected references

  • Relating quantum privacy and quantum coherence: an operational approach, arXiv:quant-ph/0307053v1, https://arxiv.org/abs/quant-ph/0307053v1
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Classical feedback for quantum channelsResearch Paper

Motivation

We investigate whether the use of a noiseless, classical feedback channel will increase the capacity of a quantum discrete memoryless channel to transmit classical information. This problem has been previously analyzed by Bowen and Nagarajan for the case of protocols restricted to product input states. They showed that feedback did not increase the information capacity. In this paper we introduce a quantum analogue of classical causality and prove a capacity theorem (in regularized form) for the transmission of classical information.

This mission is the statement-level formalization of Classical feedback for quantum channels (arXiv:quant-ph/0409207v3). Every numbered result of the paper was scanned. The results stated here are open sorry goals, ready for solvers to prove.

What is formalized

1 statements of the paper are in Lean 4 (Mathlib 0df444a). The goal theorem is Whole-codeword Markov property of the executed feedback protocol (§2, paragraph continuing PDF p.5, PDF p. 6). The milestones are the other numbered results, in the paper's order, each quoting the paper.

The paper's own objects are the definition item of this mission. Objects shared across papers come from the prove2quantum library and from earlier papers' missions, listed as references.

Provenance: prove2quantum's pipeline drafted each statement (gpt-6.1-sol on Stanford's Sherlock cluster). A blind read-back, written without seeing the paper, is attached to every item. An independent moderator compared each statement against the paper and passed the whole paper without edits.

Deferred results

6 results of the paper are not stated yet, because the library lacks an interface they need:

  • Theorem 2 (announced in Abstract): regularized classical-feedback capacity: An unambiguous corrected operational error, causal execution and capacity regularization (source-ambiguity)
  • Lemma 1: Directed Data Processing Inequality: A source-supported prefix sufficiency condition or a different directed-information object (source-ambiguity)
  • §3 and §5, unnumbered: double-block random-coding error and vanishing-error existence: A physical collective decoder, correct history probabilities and uniformly decaying error parameters (source-ambiguity)
  • §4, unnumbered: recovery of the usual unassisted classical-capacity formula: The exact no-feedback restriction and resulting entropic reduction (source-ambiguity)
  • Lemma 3: disturbance bound for the inserted collective measurements: A specified conditional disturbance theorem with valid postselection control and timing (source-ambiguity)
  • Lemma 4: the two printed typical-projector estimates: Corrected typical-projector conclusions and quantified constants (source-ambiguity)

Selected references

  • Classical feedback for quantum channels, arXiv:quant-ph/0409207v3, https://arxiv.org/abs/quant-ph/0409207v3
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Maximum likelihood estimation for a group of physical transformationsResearch Paper

Motivation

The maximum likelihood strategy to the estimation of group parameters allows to derive in a general fashion optimal measurements, optimal signal states, and their relations with other information theoretical quantities. These results provide a deep insight into the general structure underlying optimal quantum estimation strategies. The entanglement between representation spaces and multiplicity spaces of the group action appear to be the unique kind of entanglement which is really useful for the optimal estimation of group parameters.

This mission is the statement-level formalization of Maximum likelihood estimation for a group of physical transformations (arXiv:quant-ph/0507007v1). Every numbered result of the paper was scanned. The results stated here are open sorry goals, ready for solvers to prove.

What is formalized

14 statements of the paper are in Lean 4 (Mathlib 0df444a). The goal theorem is Optimal input states and the likelihood ceiling (Theorem 3 (optimal input states), Eqs.(24)–(25); capstone selected from the p.1 abstract, PDF p. 10). The milestones are the other numbered results, in the paper's order, each quoting the paper.

The paper's own objects are the definition item of this mission. Objects shared across papers come from the prove2quantum library and from earlier papers' missions, listed as references.

Provenance: prove2quantum's pipeline drafted each statement (gpt-6.1-sol on Stanford's Sherlock cluster). A blind read-back, written without seeing the paper, is attached to every item. An independent moderator compared each statement against the paper and passed the whole paper without edits.

Deferred results

10 results of the paper are not stated yet, because the library lacks an interface they need:

  • §2.5 Remark I: claimed uniqueness iff the orbit is spanning: §2.5 Remark I: claimed uniqueness iff the orbit is spanning — a valid source-supported domain or correction (source-ambiguity)
  • §4.1: general extension of the optimal-POVM theorem to infinite dimension: §4.1: general extension of the optimal-POVM theorem to infinite dimension — a valid source-supported domain or correction (source-ambiguity)
  • §4.2: blanket extension of Theorems 1, 2 and 3 via formal dimensions: §4.2: blanket extension of Theorems 1, 2 and 3 via formal dimensions — a valid source-supported domain or correction (source-ambiguity)
  • Proposition 1: noncompact discrete-series group average, Eqs.(35)–(36): Proposition 1: noncompact discrete-series group average, Eqs.(35)–(36) — a valid source-supported domain or correction (source-ambiguity)
  • §4.3.1, Eqs.(38)–(40): identical-displacement decomposition and formal dimension: Completed two-mode Fock Weyl action, corrected passive 50:50 rotation, invariant infinite-multiplicity subspaces, and coefficient-square Haar integrability. (hard)
  • §4.3.1: optimal POVMs and likelihood for two identical coherent states, Eqs.(41)–(43): Normalized positive-form POVMs, their integrated bounded operator measures, and links to the joint quadrature and heterodyne-average measurements. (hard)
  • §4.3.1 Remark: squeezing improves likelihood, Eqs.(44)–(45): Normalized full-Fock squeezed vectors and the weakly normalized optimal covariant diagonal-sum measurement on them. (hard)
  • §4.3.2, Eqs.(47)–(49): conjugate-displacement spectral decomposition: Concrete Weyl/Plancherel unitary from completed two-mode Fock space to L2(C,d^2beta/pi), with its action intertwining and full commutant characterization. (hard)
  • Proposition 2: direct-integral group average for conjugate displacements, Eq.(50): Proposition 2: direct-integral group average for conjugate displacements, Eq.(50) — a valid source-supported domain or correction (source-ambiguity)
  • §4.3.2: unique optimal covariant POVM and Gaussian law, Eqs.(52)–(56): Positive seed form for constant spectral wavefunction, its normalized integrated operator measure, full-support uniqueness and actual Born Gaussian law. (hard)

Selected references

  • Maximum likelihood estimation for a group of physical transformations, arXiv:quant-ph/0507007v1, https://arxiv.org/abs/quant-ph/0507007v1
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Optimal estimation of group transformations using entanglementResearch Paper

Motivation

We derive the optimal input states and the optimal quantum measurements for estimating the unitary action of a given symmetry group, showing how the optimal performance is obtained with a suitable use of entanglement. Optimality is defined in a Bayesian sense, as minimization of the average value of a given cost function. We introduce a class of cost functions that generalizes the Holevo class for phase estimation, and show that for states of the optimal form all functions in such a class lead to the same optimal measurement. A first application of the main result is the complete proof of the optimal efficiency in the transmission of a Cartesian reference frame. As a second application, we derive the optimal estimation of a completely unknown two-qubit maximally entangled state, provided that N copies of the state are available. In the limit of large N, the fidelity of the optimal estimation is shown to be 1-3/(4N).

This mission is the statement-level formalization of Optimal estimation of group transformations using entanglement (arXiv:quant-ph/0506267v2). Every numbered result of the paper was scanned. The results stated here are open sorry goals, ready for solvers to prove.

What is formalized

13 statements of the paper are in Lean 4 (Mathlib 0df444a). The goal theorem is Theorem 1: optimal canonical input states (Theorem 1, PDF p. 4). The milestones are the other numbered results, in the paper's order, each quoting the paper.

The paper's own objects are the definition item of this mission. Objects shared across papers come from the prove2quantum library and from earlier papers' missions, listed as references.

Provenance: prove2quantum's pipeline drafted each statement (gpt-6.1-sol on Stanford's Sherlock cluster). A blind read-back, written without seeing the paper, is attached to every item. An independent moderator compared each statement against the paper and passed the whole paper without edits.

Deferred results

1 results of the paper are not stated yet, because the library lacks an interface they need:

  • §IV B final paragraph: A specified local parameter chart, locally unbiased estimator comparison class, and a theorem linking its local asymptotic risk to this particular covariant Bayes estimator. (source-ambiguity)

Selected references

  • Optimal estimation of group transformations using entanglement, arXiv:quant-ph/0506267v2, https://arxiv.org/abs/quant-ph/0506267v2
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Quantum Information·Captain: Goku

Noncommutative maximal ergodic theoremsResearch Paper

Motivation

This paper is devoted to the study of various maximal ergodic theorems in noncommutative LpL_pLp​-spaces. In particular, we prove the noncommutative analogue of the classical Dunford-Schwartz maximal ergodic inequality for positive contractions on LpL_pLp​ and the analogue of Stein's maximal inequality for symmetric positive contractions. We also obtain the corresponding individual ergodic theorems. We apply these results to a family of natural examples which frequently appear in theory of von Neumann algebras and in quantum probability.

This mission is the statement-level formalization of Noncommutative maximal ergodic theorems (arXiv:math/0505308v2). Every numbered result of the paper was scanned. The results stated here are open sorry goals, ready for solvers to prove.

What is formalized

1 statements of the paper are in Lean 4 (Mathlib 0df444a). The goal theorem is Operator block matrix norm comparison (Lemma 3.2, PDF p. 13). The milestones are the other numbered results, in the paper's order, each quoting the paper.

The paper's own objects are the definition item of this mission. Objects shared across papers come from the prove2quantum library and from earlier papers' missions, listed as references.

Provenance: prove2quantum's pipeline drafted each statement (gpt-6.1-sol on Stanford's Sherlock cluster). A blind read-back, written without seeing the paper, is attached to every item. An independent moderator compared each statement against the paper and passed the whole paper without edits.

Deferred results

62 results of the paper are not stated yet, because the library lacks an interface they need:

  • Theorem 0.1: positive Dunford–Schwartz and symmetric-power maximal inequalities: semifinite trace; tracial Lp; compatible Lp extensions; discrete Cesaro average; maximal factorization norm (hard)
  • Theorem 0.2: introductory c0 convergence assertion: Unambiguous corrected full source assertion: Theorem 0.2: introductory c0 convergence assertion (source-ambiguity)
  • Theorem 0.3: free-group Poisson maximal inequality and radial convergence: free group von Neumann algebra; word-length Poisson semigroup; tracial Lp; maximal factorization norm; tracial b.a.u. and a.u. convergence (hard)
  • Lemma 1.1: compatible positive contractive Lp extensions and normality: finite-trace support ideal; tracial Lp; normality; compatible Lp extensions (hard)
  • Proposition 2.1: decomposition, finite truncations, duality and Cauchy–Schwarz: maximal factorization norm; ell1 factorization space; finite truncation; conjugate exponent; trace pairing (hard)
  • Remark 2.2: attained factorization norms, c0 duality, and failure of modulus stability: attained factorization norm; finite factorization ell1^0; ell1 factorization space; c0 factorization space; Banach dual; coordinate modulus (hard)
  • Remark 2.3: trace-compatible subalgebra inclusions: trace-compatible subalgebra inclusion; ell1 factorization space; maximal factorization norm (hard)
  • Remark 2.4: arbitrary-index factorization, duality and Proposition 2.1: arbitrary-index maximal factorization space; arbitrary-index ell1 factorization space; finite-subset truncation; trace pairing (hard)
  • Proposition 2.5: complex interpolation isometries: ell1 factorization space; maximal factorization norm; Calderon complex interpolation space (hard)
  • Theorem 3.1: noncommutative Marcinkiewicz interpolation: positive-cone sum; subadditive operator-valued family; weak-type projection bound; strong-type positive majorant; conjugate interpolation parameter (hard)
  • Lemma 3.3: compressed strong bound from weak type: weak-type projection bound; compressed maximal norm (hard)
  • Lemma 3.4: mixed endpoint norm estimate: positive endpoint intersection; maximal factorization norm (hard)
  • Lemma 3.5: Lorentz Lp,1 estimate: noncommutative Lorentz Lp,q; generalized singular numbers; maximal factorization norm (hard)
  • Remark 3.6: positive-cone real J interpolation isometry: noncommutative Lorentz Lp,q; real J interpolation of cones; real J interpolation of Banach spaces (hard)
  • Lemma 3.8: quantitative J-method inclusion: noncommutative Lorentz Lp,q; real J interpolation of Banach spaces (hard)
  • Lemma 3.9: positive maximal cones interpolate: positive maximal cone; real J interpolation of cones; maximal factorization norm (hard)
  • Theorem 4.1: maximal Cesaro inequality with sharp growth: discrete Cesaro average; maximal factorization norm; optimal universal maximal constant (hard)
  • Corollary 4.3: column maximal Cesaro inequality: column maximal factorization space; discrete Cesaro average; maximal constant family (hard)
  • Corollary 4.4: ordered multiple Cesaro maximal inequalities: ordered multiple Cesaro averages; arbitrary-index maximal factorization space; column maximal factorization space (hard)
  • Theorem 4.5: one- and multiparameter continuous Cesaro maximal inequalities: weak-star continuous semigroup; continuous Cesaro average; ordered multiple continuous averages; arbitrary-index maximal factorization space; column maximal factorization space (hard)
  • Corollary 4.6: subordinated semigroup maximal inequalities: Unambiguous corrected full source assertion: Corollary 4.6: subordinated semigroup maximal inequalities (source-ambiguity)
  • Remark 4.7: continuous weak type (1,1) and subordination assertion: Unambiguous corrected full source assertion: Remark 4.7: continuous weak type (1,1) and subordination assertion (source-ambiguity)
  • Remark 4.7, continuous-average clause: continuous Cesaro average; weak-type projection bound (hard)
  • Theorem 5.1: symmetric discrete-power maximal inequality: symmetric tracial contraction; maximal factorization norm; powers of Lp extension (hard)
  • Theorem 5.2: fractional-average maximal inequality: fractional binomial coefficients; fractional averages; positive L2 operator; maximal factorization norm (hard)
  • Lemma 5.4: fractional averages in the right half-plane: fractional averages; maximal factorization norm (hard)
  • Lemma 5.5: discrete Littlewood–Paley square estimate: falling factorial coefficients; finite differences with zero past; discrete Littlewood-Paley square trace; positive L2 operator (hard)
  • Lemma 5.6: maximal finite-difference estimate: finite differences with zero past; positive L2 operator; maximal factorization norm (hard)
  • Lemma 5.7: scalar matrix action on maximal families: maximal factorization norm; absolutely summable scalar rows (hard)
  • Lemma 5.8: L2 fractional averages on negative half-integer lines: fractional averages; positive L2 operator; maximal factorization norm (hard)
  • Corollary 5.9: column maximal powers: column maximal factorization space; maximal constant family (hard)
  • Corollary 5.10: ordered multiple symmetric-power maximal inequalities: ordered multiple powers; arbitrary-index maximal factorization space; column maximal factorization space (hard)
  • Corollary 5.11: continuous symmetric-semigroup maximal inequalities: weak-star continuous semigroup; ordered multiple semigroup powers; arbitrary-index maximal factorization space; column maximal factorization space (hard)
  • Theorem 6.3: Cesaro errors belong to c0: discrete Cesaro average; mean-ergodic projection; c0 factorization space; column c0 factorization space (hard)
  • Corollary 6.4: individual discrete Cesaro theorem: discrete Cesaro average; mean-ergodic projection; tracial b.a.u. and a.u. convergence (hard)
  • Remark 6.5: a.u. convergence at p=2: discrete Cesaro average; tracial a.u. convergence (hard)
  • Theorem 6.6: ordered multiple individual Cesaro theorem: ordered multiple Cesaro averages; mean-ergodic projection; filter-tail c0 factorization spaces; tracial b.a.u. and a.u. convergence (hard)
  • Theorem 6.7: symmetric nonnegative-power individual theorem: positive L2 operator; powers of Lp extension; c0 factorization space; column c0 factorization space; tracial b.a.u. and a.u. convergence (hard)
  • Unnumbered remark after Theorem 6.7: even and odd power limits: even and odd powers; mean-ergodic projection; tracial b.a.u. convergence (hard)
  • Theorem 6.8: local and global continuous individual theorem: continuous Cesaro average; weak-star continuous semigroup; mean-ergodic projection; filter-tail c0 factorization spaces; tracial b.a.u. and a.u. convergence (hard)
  • Unnumbered remarks after Theorem 6.8: endpoints, multiple versions and subordination: Unambiguous corrected full source assertion: Unnumbered remarks after Theorem 6.8: endpoints, multiple versions and subordination (source-ambiguity)
  • Remark 7.2: independence of Haagerup injection parameter: Haagerup Lp; modular automorphism group; Haagerup density sandwiches; compatible Haagerup Lp extensions; modular analytic elements; maximal factorization norm; ell1 factorization space; column maximal factorization space; c0 factorization space; Calderon complex interpolation space; normal state-preserving conditional expectation (hard)
  • Remark 7.3: fixed points form a subalgebra under state preservation: normal faithful state; fixed point subalgebra; normal state-preserving conditional expectation; mean-ergodic projection (hard)
  • Theorem 7.4: nontracial maximal Cesaro and symmetric-power inequalities: Haagerup Lp; compatible Haagerup Lp extensions; discrete Cesaro average; arbitrary-index maximal factorization space; maximal constant family (hard)
  • Corollary 7.5: nontracial column maximal estimates: Haagerup Lp; compatible Haagerup Lp extensions; column maximal factorization space; maximal constant family (hard)
  • Corollary 7.6: continuous-index Haagerup maximal inequalities: Haagerup Lp; compatible Haagerup Lp extensions; weak-star continuous semigroup; continuous Cesaro average; arbitrary-index maximal factorization space; column maximal factorization space; Haagerup density sandwiches (hard)
  • Section 7.2 semigroup extension assertion: p=infinity contraction endpoint: weak-star continuous semigroup; continuous Cesaro average; bounded-family L-infinity norm; compatible Haagerup Lp extensions (hard)
  • Theorem 7.11: Haagerup c0 convergence of ordered averages and powers: Haagerup Lp; compatible Haagerup Lp extensions; ordered multiple Cesaro averages; ordered multiple powers; mean-ergodic projection; filter-tail c0 factorization spaces; positive L2 operator (hard)
  • Corollary 7.12: Jajte individual ergodic convergence: Haagerup Lp; Haagerup density sandwiches; Jajte bilateral almost-sure convergence; Jajte almost-sure convergence; ordered multiple Cesaro averages; ordered multiple powers; mean-ergodic projection (hard)
  • Unnumbered remarks after Corollary 7.12: semigroup and L1 extensions: Haagerup Lp; continuous Cesaro average; Jajte bilateral almost-sure convergence; Jajte almost-sure convergence; L1 endpoint individual limit (hard)
  • Lemma 7.13: transfer from density-injected c0 to Lance convergence: Unambiguous corrected full source assertion: Lemma 7.13: transfer from density-injected c0 to Lance convergence (source-ambiguity)
  • Corollary 7.14: bounded-input averages and powers convergence: Unambiguous corrected full source assertion: Corollary 7.14: bounded-input averages and powers convergence (source-ambiguity)
  • Corollary 7.14(i): Lance a.u. convergence for bounded-input averages: Lance a.u. and b.a.u. convergence; ordered multiple Cesaro averages; mean-ergodic projection (hard)
  • Unnumbered semigroup analogue after Corollary 7.14: weak-star continuous semigroup; continuous Cesaro average; ordered multiple continuous averages; Jajte bilateral almost-sure convergence; Jajte almost-sure convergence; Lance a.u. and b.a.u. convergence (hard)
  • Section 8.1: modular-action maximal averages and fixed-point centralizer: modular automorphism group; continuous Cesaro average; state centralizer; Haagerup Lp; arbitrary-index maximal factorization space (hard)
  • Section 8.1: asserted modular-action pointwise convergence: Unambiguous corrected full source assertion: Section 8.1: asserted modular-action pointwise convergence (source-ambiguity)
  • Section 8.2: operator-valued Poisson maximal and weak-type estimates: spatial von Neumann tensor product; operator-valued Bochner Lp identification; tensor-extended semigroup; classical Poisson semigroup; weak-type projection bound; classical Ornstein-Uhlenbeck subordination (hard)
  • Section 8.3: Gaussian and Poisson Schur multiplier semigroups: Schatten classes; Schur multiplier semigroup; isonormal Gaussian process; classical Poisson subordination; maximal factorization norm (hard)
  • Section 8.4: Hamiltonian Gaussian and Poisson semigroups: selfadjoint affiliated spectral calculus; Hamiltonian Gaussian conjugation semigroup; unbounded commutator generator; classical Poisson subordination; Schur multiplier semigroup (hard)
  • Section 8.5: free-product semigroups and free Poisson convergence: reduced free product of state algebras; free-product semigroup; centered reduced words; free Poisson semigroup; Haagerup Lp; Lance a.u. and b.a.u. convergence; Jajte bilateral almost-sure convergence; Jajte almost-sure convergence (hard)
  • Section 8.6: group length multipliers and fractional powers: group von Neumann algebra; tree-type length function; group Fourier multiplier semigroup; fractional length multiplier; reduced free product of groups (hard)
  • Section 8.7: q-Ornstein–Uhlenbeck construction and properties: q-Fock space; q-Gaussian algebra; vacuum tracial state; Wick product; second quantization; q-Ornstein-Uhlenbeck semigroup; number operator (hard)

Selected references

  • Noncommutative maximal ergodic theorems, arXiv:math/0505308v2, https://arxiv.org/abs/math/0505308v2
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Quantum Information·Captain: Goku

On the Weyl Representation of Metaplectic OperatorsResearch Paper

Motivation

We study the Weyl representation of metaplectic operators associated to a symplectic matrix having no non-trivial fixed point, and justify a formula suggested in earlier work of Mehlig and Wilkinson. We give precise calculations of the associated Maslov-type indices; these indices intervene in a crucial way in Gutzwiller's formula of semiclassical mechanics, and are simply related to an index defined by Conley and Zehnder.

This mission is the statement-level formalization of On the Weyl Representation of Metaplectic Operators (arXiv:math/0503708v1). Every numbered result of the paper was scanned. The results stated here are open sorry goals, ready for solvers to prove.

What is formalized

3 statements of the paper are in Lean 4 (Mathlib 0df444a). The goal theorem is Symplectic Cayley transform and its inverse (§3.1, unnumbered, PDF p. 6). The milestones are the other numbered results, in the paper's order, each quoting the paper.

The paper's own objects are the definition item of this mission. Objects shared across papers come from the prove2quantum library and from earlier papers' missions, listed as references.

Provenance: prove2quantum's pipeline drafted each statement (gpt-6.1-sol on Stanford's Sherlock cluster). A blind read-back, written without seeing the paper, is attached to every item. An independent moderator compared each statement against the paper and passed the whole paper without edits.

Deferred results

9 results of the paper are not stated yet, because the library lacks an interface they need:

  • §4, paper-level conclusion: Concrete metaplectic group, its projection, source-normalized quadratic Fourier generators and weak MW operator (hard)
  • Lemma 1, (16)–(18): Three concrete weak oscillatory MW expressions (16)–(18) (hard)
  • Corollary 3: Unitary realization of the concrete MW map and actual metaplectic lifts (hard)
  • Proposition 6, (22)–(23): Concrete quadratic Fourier/MW equality with phase normalization (hard)
  • §3.2, equation (26): A genuine integer classical Conley–Zehnder index for symplectic paths (hard)
  • §3.2, equation (27): Consistent source statement for the printed Maslov–CZ equation (27) (source-ambiguity)
  • Lemma 8, (29): Source-normalized quadratic Fourier generators as actual Schwartz and canonical L2 operators (hard)
  • Proposition 9, (i)–(ii): Concrete Mp subgroup with admissible nonfixed free MW generators (hard)
  • Proposition 10, (32): Composition of actual MW operators and their metaplectic projection (hard)

Selected references

  • On the Weyl Representation of Metaplectic Operators, arXiv:math/0503708v1, https://arxiv.org/abs/math/0503708v1
5 thms2 active usersReviewed
Quantum Information·Captain: Goku

Pro-Lie groups which are infinite-dimensional Lie groupsResearch Paper

Motivation

A pro-Lie group is a projective limit of a family of finite-dimensional Lie groups. In this note we show that a pro-Lie group GGG is a Lie group in the sense that its topology is compatible with a smooth manifold structure for which the group operations are smooth if and only if GGG is locally contractible. We also characterize the corresponding pro-Lie algebras in various ways. Furthermore, we characterize those pro-Lie groups which are locally exponential, that is, they are Lie groups with a smooth exponential function which maps a zero neighborhood in the Lie algebra diffeomorphically onto an open identity neighborhood of the group.

This mission is the statement-level formalization of Pro-Lie groups which are infinite-dimensional Lie groups (arXiv:math/0609684v1). Every numbered result of the paper was scanned. The results stated here are open sorry goals, ready for solvers to prove.

What is formalized

7 statements of the paper are in Lean 4 (Mathlib 0df444a). The goal theorem is Pro-Lie groups admit compatible Lie structures exactly when locally contractible (Theorem 1.1, PDF p. 3). The milestones are the other numbered results, in the paper's order, each quoting the paper.

The paper's own objects are the definition item of this mission. Objects shared across papers come from the prove2quantum library and from earlier papers' missions, listed as references.

Provenance: prove2quantum's pipeline drafted each statement (gpt-6.1-sol on Stanford's Sherlock cluster). A blind read-back, written without seeing the paper, is attached to every item. An independent moderator compared each statement against the paper and passed the whole paper without edits.

Deferred results

31 results of the paper are not stated yet, because the library lacks an interface they need:

  • Theorem 1.2: The actual pro-Lie Lie functor, universal integration Gamma, prosolvable radical and Levi product, and smooth exponential/tangent Lie algebra interface (hard)
  • Theorem 1.3: Canonical Gamma integration and its regular Lie structure; tangent Lie algebra, smooth path evolution, and central discrete quotient classification (hard)
  • Theorem 1.5: Tangent and one-parameter Lie algebras, locally exponential local multiplication, and the actual quotientwise Maurer–Cartan operator/spectrum (hard)
  • Theorem 3.7: The canonical Gamma(L(G)) group, discrete central quotients and the corresponding arbitrary-product homeomorphism (hard)
  • Remark 4.4: Globally evaluated pronilpotent BCH Lie series and the actual Gamma integration (hard)
  • Theorem 4.5: Canonical Gamma, its ambient contraction predicate, and the prosolvable radical/semisimple product quotient (hard)
  • Proposition 4.7: Pro-compact adjoint module presentations and maximal compactly embedded subalgebras; Gamma-defined algebra smoothness (hard)
  • Proposition 5.1: The actual radical integration Gamma(r) and the Phi chart built from the closed commutator ideal and exponential evaluation (hard)
  • Theorem 5.2: Canonical Gamma integration and smoothness defined by ambient contractibility of that group (hard)
  • Proposition 5.7: Construction-specific Lie atlas on Gamma(g) and Milnor regularity with the smooth path-space topology (hard)
  • Theorem 5.8: Tangent Lie algebra of a general locally convex Lie group and its smooth exponential; Gamma-based smoothness of g (hard)
  • Corollary 5.9: Milnor regularity, tangent Lie algebra, actual Gamma and its discrete central Lie-group quotients (hard)
  • Lemma 5.11: The actual center of Gamma(g) for smooth g and the subgroup generated by all compact subgroups (hard)
  • Theorem 5.13: Actual center of Gamma(g) and Gamma-defined smoothness of g (hard)
  • Remark 6.5: Quotientwise adjoint flow and pointwise kappa integral on a pro-Lie algebra before local exponentiality is known (hard)
  • Remark 6.6: A comparison between the actual tangent Lie algebra and compact-open one-parameter Lie algebra, plus locally exponential canonical quotients (hard)
  • Theorem 7.1: E1–E4 global exponential Lie algebra, the actual Gamma group, and quotientwise complex adjoint spectrum (hard)
  • Example 7.2: The coefficient-topological formal current Lie algebra, its adjoint spectrum, and exponential/pronilpotent predicates (hard)
  • Proposition 7.3: Locally exponential algebra via E1–E4, exponential closed ideals, and the actual prosolvable radical (hard)
  • Remark 7.4: Exponential finite-codimensional ideal, actual prosolvable radical and regular canonical Gamma structure (hard)
  • Example 7.5: Pointwise averaging in arbitrary complete locally convex spaces, actual semidirect exponential and smooth inverse predicates (hard)
  • Lemma 7.7: Topological complexification, closed ideal subquotient roots, and complex spectrum of pro-Lie adjoint operators (hard)
  • Proposition 7.9: Canonical Gamma and exponential evaluation, topological root weights, and their natural integrated additive characters (hard)
  • Proposition 7.10: Milnor regularity and tangent Lie algebras for arbitrary locally convex Lie groups (hard)
  • Theorem 7.11: Independent E1–E4 local exponential algebra, pointwise kappa exp-regularity and actual Gamma integration (hard)
  • Corollary 7.12: Actual identity-component universal cover, one-parameter algebra and Gamma, and locally exponential group/algebra predicates (hard)
  • Remark 7.13: Closed-ideal root weights and the actual semidirect generator/adjoint regularity in n ⋊ R (hard)
  • Example 7.14: The actual infinite semidirect Lie algebra and bounded dual-module-types representation, spectral exp-regularity and local exponentiality (hard)
  • Remark 8.1: The canonical regular Gamma(g), its exponential and the local-diffeomorphism property of the specified product-of-exponentials chart (hard)
  • Remark 8.2: Canonical Gamma realization with actual integrated finite-quotient projections and its construction-specific regular atlas (hard)
  • Remark 8.3: Canonical Gamma(g) and its actual quotient projections, regular canonical atlas, locally exponential source groups (hard)

Selected references

  • Pro-Lie groups which are infinite-dimensional Lie groups, arXiv:math/0609684v1, https://arxiv.org/abs/math/0609684v1
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Decoherence rates for Galilean covariant dynamicsResearch Paper

Motivation

We introduce a measure of decoherence for a class of density operators. For Gaussian density operators in dimension one it coincides with an index used by Morikawa (1990). Spatial decoherence rates are derived for three large classes of the Galilean covariant quantum semigroups introduced by Holevo. We also characterize the relaxation to a Gaussian state for these dynamics and give a theorem for the convergence of the Wigner function to the probability distribution of the classical analog of the process.

This mission is the statement-level formalization of Decoherence rates for Galilean covariant dynamics (arXiv:0710.1344v2). Every numbered result of the paper was scanned. The results stated here are open sorry goals, ready for solvers to prove.

What is formalized

13 statements of the paper are in Lean 4 (Mathlib 0df444a). The goal theorem is Theorem 4.3, cases 1 and 3: leading spatial decoherence rates (seed from abstract) (Theorem 4.3, cases 1 and 3: leading spatial decoherence rates (seed from abstract), PDF p. 18). The milestones are the other numbered results, in the paper's order, each quoting the paper.

The paper's own objects are the definition item of this mission. Objects shared across papers come from the prove2quantum library and from earlier papers' missions, listed as references.

Provenance: prove2quantum's pipeline drafted each statement (gpt-6.1-sol on Stanford's Sherlock cluster). A blind read-back, written without seeing the paper, is attached to every item. An independent moderator compared each statement against the paper and passed the whole paper without edits.

Deferred results

9 results of the paper are not stated yet, because the library lacks an interface they need:

  • Proposition 4.1, case 2: position-only Gaussian noise: A source-consistent complete statement for Proposition 4.1, case 2: position-only Gaussian noise (source-ambiguity)
  • Theorem 4.3, case 2: position-only Lévy noise: A source-consistent complete statement for Theorem 4.3, case 2: position-only Lévy noise (source-ambiguity)
  • Theorem 4.4: relative Hilbert–Schmidt Gaussian relaxation: A source-consistent complete statement for Theorem 4.4: relative Hilbert–Schmidt Gaussian relaxation (source-ambiguity)
  • Theorem 4.5: Wigner/classical relative L² convergence: A source-consistent complete statement for Theorem 4.5: Wigner/classical relative L² convergence (source-ambiguity)
  • Proposition 2.5: commutator and anticommutator characteristic formulas: A source-consistent complete statement for Proposition 2.5: commutator and anticommutator characteristic formulas (source-ambiguity)
  • Lemma 4.2: regularity and quadratic estimates of a Lévy exponent: A source-consistent complete statement for Lemma 4.2: regularity and quadratic estimates of a Lévy exponent (source-ambiguity)
  • Lemma A.1: differentiating Weyl translations in trace norm: A source-consistent complete statement for Lemma A.1: differentiating Weyl translations in trace norm (source-ambiguity)
  • Lemma A.2, moreover: directional derivative identity: A source-consistent complete statement for Lemma A.2, moreover: directional derivative identity (source-ambiguity)
  • Appendix A, (A.1)–(A.2) and Fourier/kernel identities: Partial and full angular-frequency L² Fourier transforms tied to actual Schrödinger HS kernels and the Wigner definition (hard)

Selected references

  • Decoherence rates for Galilean covariant dynamics, arXiv:0710.1344v2, https://arxiv.org/abs/0710.1344v2
17 thms2 active usersReviewed
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Quantum Information·Captain: Goku

Constructing algebraic Lie algebrasResearch Paper

Motivation

We give an algorithm for constructing the algebraic hull of a given matrix Lie algebra in characteristic zero. It is based on an algorithm for finding integral linear dependencies of the roots of a polynomial, that is probably of independent interest.

This mission is the statement-level formalization of Constructing algebraic Lie algebras (arXiv:math/0611414v1). Every numbered result of the paper was scanned. The results stated here are open sorry goals, ready for solvers to prove.

What is formalized

3 statements of the paper are in Lean 4 (Mathlib 0df444a). The goal theorem is Trivial permutation component and power traces (Lemma 5: trivial permutation component and trace, PDF p. 5). The milestones are the other numbered results, in the paper's order, each quoting the paper.

The paper's own objects are the definition item of this mission. Objects shared across papers come from the prove2quantum library and from earlier papers' missions, listed as references.

Provenance: prove2quantum's pipeline drafted each statement (gpt-6.1-sol on Stanford's Sherlock cluster). A blind read-back, written without seeing the paper, is attached to every item. An independent moderator compared each statement against the paper and passed the whole paper without edits.

Deferred results

18 results of the paper are not stated yet, because the library lacks an interface they need:

  • Abstract / §§2–3: construction of the algebraic hull: Algebraic subgroups of GL(n) over arbitrary characteristic-zero F, their tangent Lie subalgebras, and the intrinsic algebraic hull; effective exact number-field computations and a terminating executable construction (hard)
  • §2: algebraicity criterion using a basis: Algebraic subgroups of GL(n) over arbitrary characteristic-zero F, their tangent Lie subalgebras, and the intrinsic algebraic hull (hard)
  • Lemma 2: coefficient-space description of a semisimple hull: Algebraic subgroups of GL(n) over arbitrary characteristic-zero F, their tangent Lie subalgebras, and the intrinsic algebraic hull (hard)
  • Algorithm 3: exact splitting-field hull construction: Algebraic subgroups of GL(n) over arbitrary characteristic-zero F, their tangent Lie subalgebras, and the intrinsic algebraic hull; effective exact number-field computations and a terminating executable construction (hard)
  • Example 4: even quartic minimal polynomial: Algebraic subgroups of GL(n) over arbitrary characteristic-zero F, their tangent Lie subalgebras, and the intrinsic algebraic hull (hard)
  • Lemma 6: irreducible augmentation component: A valid scope for the irreducible augmentation lemma when the characteristic polynomial is reducible and n=2 (source-ambiguity)
  • Corollary 7: 2-transitive or prime-degree hull: Algebraic subgroups of GL(n) over arbitrary characteristic-zero F, their tangent Lie subalgebras, and the intrinsic algebraic hull (hard)
  • Proposition 8: all four non-S4/non-A4 quartic cases: Algebraic subgroups of GL(n) over arbitrary characteristic-zero F, their tangent Lie subalgebras, and the intrinsic algebraic hull (hard)
  • Proposition 9: sextic Magma-group formula: Proposition 9: sextic Magma-group formula with corrected source precision, scope or output contract (source-ambiguity)
  • §6: the two integral-dependency tasks: §6: the two integral-dependency tasks with corrected source precision, scope or output contract (source-ambiguity)
  • Algorithm 10: certified zero test: Algorithm 10: certified zero test with corrected source precision, scope or output contract (source-ambiguity)
  • Theorem 11: small integral relation basis: Theorem 11: small integral relation basis with corrected source precision, scope or output contract (source-ambiguity)
  • Algorithm 13: LLL relation-lattice algorithm: Algorithm 13: LLL relation-lattice algorithm with corrected source precision, scope or output contract (source-ambiguity)
  • §6: reduced-precision retry variant of Algorithm 13: §6: reduced-precision retry variant of Algorithm 13 with corrected source precision, scope or output contract (source-ambiguity)
  • Algorithm 14: Galois-assisted relation reconstruction: Algorithm 14: Galois-assisted relation reconstruction with corrected source precision, scope or output contract (source-ambiguity)
  • §6: extension to relations over number-field orders: §6: extension to relations over number-field orders with corrected source precision, scope or output contract (source-ambiguity)
  • §6 Remark: component-testing algorithm: §6 Remark: component-testing algorithm with corrected source precision, scope or output contract (source-ambiguity)
  • §7: hull construction avoiding exact splitting fields: §7: hull construction avoiding exact splitting fields with corrected source precision, scope or output contract (source-ambiguity)

Selected references

  • Constructing algebraic Lie algebras, arXiv:math/0611414v1, https://arxiv.org/abs/math/0611414v1
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Quantum communication using a bounded-size quantum reference frameResearch Paper

Motivation

Typical quantum communication schemes are such that to achieve perfect decoding the receiver must share a reference frame with the sender. Indeed, if the receiver only possesses a bounded-size quantum token of the sender's reference frame, then the decoding is imperfect, and we can describe this effect as a noisy quantum channel. We seek here to characterize the performance of such schemes, or equivalently, to determine the effective decoherence induced by having a bounded-size reference frame. We assume that the token is prepared in a special state that has particularly nice group-theoretic properties and that is near-optimal for transmitting information about the sender's frame. We present a decoding operation, which can be proven to be near-optimal in this case, and we demonstrate that there are two distinct ways of implementing it (corresponding to two distinct Kraus decompositions). In one, the receiver measures the orientation of the reference frame token and reorients the system appropriately. In the other, the receiver extracts the encoded information from the virtual subsystems that describe the relational degrees of freedom of the system and token. Finally, we provide explicit characterizations of these decoding schemes when the system is a single qubit and for three standard kinds of reference frame: a phase reference, a Cartesian frame (representing an orthogonal triad of spatial directions), and a reference direction (representing a single spatial direction).

This mission is the statement-level formalization of Quantum communication using a bounded-size quantum reference frame (arXiv:0812.5040v2). Every numbered result of the paper was scanned. The results stated here are open sorry goals, ready for solvers to prove.

What is formalized

18 statements of the paper are in Lean 4 (Mathlib 0df444a). The goal theorem is Canonical-token effective channel (Paper result: canonical-token effective channel, Eqs.(1)–(3), (38)–(40), PDF p. 1). The milestones are the other numbered results, in the paper's order, each quoting the paper.

The paper's own objects are the definition item of this mission. Objects shared across papers come from the prove2quantum library and from earlier papers' missions, listed as references.

Provenance: prove2quantum's pipeline drafted each statement (gpt-6.1-sol on Stanford's Sherlock cluster). A blind read-back, written without seeing the paper, is attached to every item. An independent moderator compared each statement against the paper and passed the whole paper without edits.

Deferred results

3 results of the paper are not stated yet, because the library lacks an interface they need:

  • §V.B, Eqs.(73)–(92), continuing PDF p.14: The based joint multiplicity decomposition and explicit reciprocal Cartesian A_J of Eqs.(75),(79),(81),(84),(87), tied to the actual symmetric-tensor spin representation and paired canonical memory. (hard)
  • §III, sentence following the no-prior-information claim: A source-supported average-input restriction compatible with the fixed recovery D_R E†. (source-ambiguity)
  • §III.D continuation, first column: A purification or a changed encoding that could make the whole successful composite pure. (source-ambiguity)

Selected references

  • Quantum communication using a bounded-size quantum reference frame, arXiv:0812.5040v2, https://arxiv.org/abs/0812.5040v2
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Quantum Information·Captain: Goku

A non-smooth continuous unitary representation of a Banach-Lie groupResearch Paper

Motivation

In this note we show that the representation of the additive group of the Hilbert space L2([0,1],R)L^2([0,1],\R)L2([0,1],R) on L2([0,1],\C)L^2([0,1],\C)L2([0,1],\C) given by the multiplication operators π(f):=eif\pi(f) := e^{if}π(f):=eif is continuous but its space of smooth vectors is trivial. This example shows that a continuous unitary representation of an infinite dimensional Lie group need not be smooth.

This mission is the statement-level formalization of A non-smooth continuous unitary representation of a Banach-Lie group (arXiv:0811.4234v1). Every numbered result of the paper was scanned. The results stated here are open sorry goals, ready for solvers to prove.

What is formalized

3 statements of the paper are in Lean 4 (Mathlib 0df444a). The goal theorem is The phase representation is continuous and has only the zero smooth vector (Theorem 2.3, PDF p. 4). The milestones are the other numbered results, in the paper's order, each quoting the paper.

The paper's own objects are the definition item of this mission. Objects shared across papers come from the prove2quantum library and from earlier papers' missions, listed as references.

Provenance: prove2quantum's pipeline drafted each statement (gpt-6.1-sol on Stanford's Sherlock cluster). A blind read-back, written without seeing the paper, is attached to every item. An independent moderator compared each statement against the paper and passed the whole paper without edits.

Selected references

  • A non-smooth continuous unitary representation of a Banach-Lie group, arXiv:0811.4234v1, https://arxiv.org/abs/0811.4234v1
4 thms2 active usersReviewed
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Towards a Lie theory for locally convex groupsResearch Paper

Motivation

In this survey, we report on the state of the art of some of the fundamental problems in the Lie theory of Lie groups modeled on locally convex spaces, such as integrability of Lie algebras, integrability of Lie subalgebras to Lie subgroups, and integrability of Lie algebra extensions to Lie group extensions. We further describe how regularity or local exponentiality of a Lie group can be used to obtain quite satisfying answers to some of the fundamental problems. These results are illustrated by specialization to some specific classes of Lie groups, such as direct limit groups, linear Lie groups, groups of smooth maps and groups of diffeomorphisms.

This mission is the statement-level formalization of Towards a Lie theory for locally convex groups (arXiv:1501.06269v1). Every numbered result of the paper was scanned. The results stated here are open sorry goals, ready for solvers to prove.

What is formalized

5 statements of the paper are in Lean 4 (Mathlib 0df444a). The goal theorem is Fundamental results of locally convex differential calculus (Proposition I.2.3, PDF p. 12). The milestones are the other numbered results, in the paper's order, each quoting the paper.

The paper's own objects are the definition item of this mission. Objects shared across papers come from the prove2quantum library and from earlier papers' missions, listed as references.

Provenance: prove2quantum's pipeline drafted each statement (gpt-6.1-sol on Stanford's Sherlock cluster). A blind read-back, written without seeing the paper, is attached to every item. An independent moderator compared each statement against the paper and passed the whole paper without edits.

Deferred results

99 results of the paper are not stated yet, because the library lacks an interface they need:

  • Proposition I.4.3: Graded differential forms on the actual curve tangent bundle; exterior derivative, contraction, and Lie derivative constructed from I.4.1–2, with the degree-zero contraction convention. (hard)
  • Theorem II.2.1: A type of Hausdorff Bastiani Lie structures on a fixed abstract group, with equality of smooth structures rather than equality of chosen chart presentations; local group multiplication on U before any global topology exists. (hard)
  • Corollary II.2.2: The actual locally defined product and injective local homomorphism; Lie structures on the subgroup generated by its image, with the entire image open and the source manifold structure preserved. (hard)
  • Corollary II.2.3: Lie structures extending the supplied normal-subgroup structure as an open subgroup; smooth conjugation automorphisms defined independently on that subgroup. (hard)
  • Corollary II.2.4: A topology-compatible Bastiani Lie structure transported along a covering homomorphism, with local smooth inverses and uniqueness on the receiving group. (hard)
  • Theorem II.2.8: Finite-order mapping spaces on compact manifolds with boundary; compact-open C^r topology and the locally convex direct-limit topology on compact-support maps; tangent Lie algebra identification with pointwise bracket. (hard)
  • Lemma II.3.3: Diffeomorphisms of a general locally convex manifold; joint smooth evaluation and inverse evaluation; left logarithmic derivative from the actual tangent map, and Ad as pushforward. (hard)
  • Lemma II.3.5: The same independently constructed diffeomorphism-valued differential as II.3.3, so equality of logarithmic derivatives is not a freely supplied relation; connectedness and the conditional common-value uniqueness conclusion. (hard)
  • Lemma II.3.10: Smooth diffeomorphism-valued evolution on arbitrary real intervals, its actual right logarithmic derivative and curve tangents, including the endpoint derivative convention; no general locally convex ODE uniqueness assumption. (hard)
  • Proposition II.4.1: The actual tangent-at-identity Lie functor, left Maurer–Cartan form and pullback logarithmic derivative; all three clauses, including connected uniqueness and the homomorphism criterion. (hard)
  • Corollary II.4.2: Ad(g) computed by differentiating conjugation at the identity; a freely chosen representation cannot encode the asserted equality with the group center. (hard)
  • Proposition II.4.3: The tangent-at-identity Lie algebra with bracket obtained from left invariant vector fields, rather than an unrelated Lie algebra parameter attached to a connected group. (hard)
  • Theorem II.4.4: The computed tangent Lie algebra and its lower central and derived series; both nilpotence and solvability must be compared with the corresponding group series. (hard)
  • Proposition II.5.6: Smooth curves on the closed interval with their compact-open C-infinity locally convex topology; regularity defined by the actual endpoint evolution map, including smooth dependence, and Mackey completeness by existence of antiderivatives. (hard)
  • Proposition II.5.7: An exponential supplied as a smooth one-parameter-group evolution; delta(exp) computed by inverse left translation of its differential and Ad by differentiated conjugation; represented pointwise weak integral with the minus sign. (hard)
  • Proposition II.5.11: The independent exponential, adjoint flow and kappa operator; fibers and isolated points, all C1 curves in the restricted kernel, and finite-dimensional discreteness; all five clauses including the conditional reverse centrality implication. (hard)
  • Lemma II.6.2: Initial Lie subgroup structures with injective differential and the universal finite-C^k lifting property for every source manifold; uniqueness of the induced intrinsic smooth structure. (hard)
  • Proposition II.6.3: The set of actual right derivatives of based C1 arcs [0,1] into H, defined before proving bracket closure; compatibility with the image of the actual initial inclusion differential. (hard)
  • Theorem III.1.2: Lie-algebra-valued forms, Maurer–Cartan equation, actual local primitives and their gluing; based piecewise smooth loop classes and the normalized lift gamma(0)=1 determining the period homomorphism. (hard)
  • Corollary III.1.6: Regularity as smooth endpoint evolution and a smooth Lie group isomorphism whose differential is the given topological Lie algebra isomorphism; 1-connectedness includes connectedness. (hard)
  • Corollary III.1.7: Closed topological Lie ideals and the quotient topology; actual adjoint invariance and integration of a quotient to a regular Bastiani Lie group. (hard)
  • Theorem III.4.1: Unresolved printed source statement: Theorem III.4.1 (source-ambiguity)
  • Proposition IV.1.2: The actual smooth exponential of a general Banach Lie group and a local diffeomorphism in its given manifold structure; an arbitrary function called exponential would be circular. (hard)
  • Theorem IV.1.8: Locally convex analyticity via complexification and continuous homogeneous polynomials, actual local exponential charts with analytic inverse, and Dynkin BCH convergence; smooth inverse alone is insufficient. (hard)
  • Corollary IV.1.10: A topology-compatible analytic Lie structure and analytic exponential chart for arbitrary Banach Lie groups, using the actual BCH criterion rather than a Boolean label. (hard)
  • Theorem IV.1.11: Continuous inverse algebras without imposed normability; unit-group analytic charts, actual exponential, Mackey completeness, and smooth evolution regularity with sequential completeness only in the second clause. (hard)
  • Theorem IV.1.12: Compactly supported gauge transformations of the actual principal bundle, support on the base, equivariant adjoint-bundle sections and their LF topology; local exponentiality, regularity and BCH inheritance. (hard)
  • Lemma IV.1.17: The actual tangent Lie bracket and group exponential, local exponential charts, and convergence in the given group topology of the positive-index Trotter and four-factor commutator sequences. (hard)
  • Theorem IV.1.18: Both the smooth locally exponential category and the analytic BCH category over possibly nonnormable model spaces; actual maps retain their prescribed continuous homomorphism. (hard)
  • Theorem IV.1.19: Lie group morphisms and their computed differential, smooth target exponential without regularity, and the locally exponential 1-connected source; uniqueness is for the supplied algebra morphism. (hard)
  • Corollary IV.1.20: Actual locally exponential group structures and tangent Lie algebra isomorphisms; a smooth group isomorphism, not merely an abstract group equivalence. (hard)
  • Theorem IV.1.24: The compact-open space Hom_c(R,G), with scalar rescaling and operations defined by the specified Trotter/commutator limits; all Lie and continuity laws without a manifold assumption. (hard)
  • Lemma IV.2.2: Local Lie products on convex balanced open subsets of the tangent algebra with guarded domains, radial one-parameter groups, and second derivative equal to the given bracket. (hard)
  • Theorem IV.2.6: Polynomial nilpotent BCH multiplication, actual exponential as a covering Lie morphism, the discrete central kernel and its fundamental-group identification, plus regularity and local exponentiality. (hard)
  • Proposition IV.2.7: The actual polynomial BCH group on the computed tangent Lie algebra, with no completeness hypothesis; a smooth group isomorphism for the 1-connected exponential nilpotent source. (hard)
  • Theorem IV.2.8: Formal homogeneous Dynkin BCH polynomials and Taylor coefficients of the independently specified local product; no unsupported assertion of convergence in a non-BCH algebra. (hard)
  • Theorem IV.2.9: Topological Lie quotient and local products; integrable adjoint flows and pointwise represented kappa; stability for every x and neighborhood equality kappa(x)n=n, plus the kernel factorization consequence. (hard)
  • Lemma IV.3.1: The differential tangent set from actual C1 arcs and the exponential tangent set from all real multiples, with their equality and closed Lie-subalgebra structure. (hard)
  • Theorem IV.3.3: Locally exponential structures on the actual closed subgroup inducing its subspace topology, an exponential slice chart, and the source closed-subspace notion of submanifold without a complement assumption. (hard)
  • Proposition IV.3.4: Actual subgroup Lie structures and preimage structure with subspace topology; the supplied smooth homomorphism and its differential cannot be treated as unrelated data. (hard)
  • Theorem IV.3.5: Quotient Lie structures inducing quotient topology, subgroup structures inducing subspace topology, and the quotient algebra and kappa neighborhood condition in the full three-way equivalence. (hard)
  • Corollary IV.3.6: BCH analytic structures on subgroups with subspace topology and group quotients with quotient topology; cannot assert only an algebraic quotient or only local exponentiality. (hard)
  • Theorem IV.3.8: The concrete subgroup generated by integrated adjoint automorphisms, an independently defined smooth structure with model g/z(g), and exponential of quotient classes; no ambient topology on Aut(g) is given. (hard)
  • Corollary IV.3.9: The intrinsic locally exponential structure on the actual group center with its subspace topology, plus its identification as the kernel of the computed Ad. (hard)
  • Corollary IV.3.12: The natural Banach manifold structure on GL(E), and a possibly nonsplit closed-subspace stabilizer as a Banach Lie submanifold with the induced topology. (hard)
  • Corollary IV.3.13: The natural Banach manifold structure on GL(E) and the actual vector stabilizer as a Banach Lie subgroup, with v=0 permitted. (hard)
  • Corollary IV.3.14: The Banach Lie group GL(E), the subgroup preserving the supplied continuous bilinear operation, and its tangent Lie algebra identified with exactly the continuous derivations. (hard)
  • Corollary IV.3.15: Unresolved printed source statement: Corollary IV.3.15 (source-ambiguity)
  • Lemma IV.4.2: Independent tangent Lie functor and exponential/adjoint flows on both groups, so stability of image and kernel is a conclusion, not a field in a morphism structure. (hard)
  • Lemma IV.4.3: Integrable adjoint operators and their smooth flows in the actual possibly different subalgebra and ambient topologies; BCH analyticity, finite (co)dimension, and all three clauses. (hard)
  • Theorem IV.4.9: Locally exponential topological Lie algebras, the actual smooth group exponential and derived injection; the discrete central preimage is a hypothesis, and the integral subgroup must have the prescribed derivative. (hard)
  • Corollary IV.4.10: The same prescribed-derivative integral subgroup construction without assuming closed range; the two alternative sufficient hypotheses must remain alternatives. (hard)
  • Theorem IV.4.14: Actual integral inclusion and differential, exponential tangent set, local exponential injectivity and separable source algebra; the stronger initiality conclusion requires locally exponential ambient G and closed differential range. (hard)
  • Theorem IV.4.16: An initial Lie topology on the closed subgroup that may be finer than the subspace topology; its identity component, tangent algebra, and prescribed integral inclusion. (hard)
  • Theorem IV.4.17: The actual finest required intrinsic initial Lie topology making the maximal contained vector subspace open; its identity component and equality with both actual tangent sets, rather than the original subgroup topology. (hard)
  • Theorem V.1.4: Locally smooth outer actions and their C2/C3 equations, actual twisted multiplication and unique local-product-compatible Lie atlas, extension equivalence classes, and abelian Baer sum as a fiber-product quotient. (hard)
  • Theorem V.1.8: Smooth locally trivial principal-bundle extensions and smooth endpoint evolution on all three groups; algebraic exactness alone does not define the extension category. (hard)
  • Theorem V.2.8: Normalized locally smooth cochains, coboundary quotient H_s^2, equivalence classes of principal-bundle extensions with the prescribed action, and the Baer group law; the isomorphism is the cocycle extension map. (hard)
  • Proposition V.2.10: Continuous alternating Lie cochains for the supplied joint continuous action, their differential and quotient, topologically split abelian extensions with the fixed action, and the computed twisted bracket. (hard)
  • Corollary V.3.2: Unresolved printed source statement: Corollary V.3.2 (source-ambiguity)
  • Theorem VI.1.8: Actual adjoint group, its pi2 period map for the central extension, period image in the topological center and enlargeability to a locally exponential group; no arbitrary subgroup labeled period group. (hard)
  • Proposition VI.1.9: The actual period subgroup and its inherited topology, for separable locally exponential algebras; closedness/discreteness equivalence requires the additional complete metrizable locally convex topology. (hard)
  • Theorem VI.1.10: Concrete Z(G,n), its normal locally exponential structure and computed algebra, normalized-loop period via represented weak integration, and generated exp(n) subgroup before closedness; retain all three equivalences without adding completeness. (hard)
  • Proposition VI.1.12: Canonical universal coverings of the adjoint groups, integration of the induced algebra map there, pi2 transport by covering isomorphisms, and naturality of the actual period maps and images. (hard)
  • Corollary VI.1.13: The actual period constructions on both topological Lie algebras and their product, with the canonical product identification of the centers. (hard)
  • Proposition VI.1.15: The actual central exponential kernel in a 1-connected locally exponential Frechet Lie group and an actual group isomorphism with pi1 of the center. (hard)
  • Theorem VI.1.17: Continuous based paths with the compact-open topology and pointwise bracket, local multiplication on that topology, enlargeability and the evaluation-at-1 quotient consequence. (hard)
  • Theorem VI.1.27: Completed projective tensor quotient cyclic homology, universal cyclic cocycle, stable K3 period map, and the actual topological Steinberg Lie algebras of all positive matrix sizes over the complete CIA. (hard)
  • Corollary VI.2.2: Stable ideals using actual integrated adjoint groups and the analytic locally convex Lie category with an analytic exponential, rather than ruling out every smooth integration. (hard)
  • Theorem VI.2.7: The actual semidirect topological Lie algebra with bracket (tDv-prime minus t-prime Dv,0), smooth joint R-actions and generator defined by directional differentiation, and integrability to arbitrary locally convex Lie groups. (hard)
  • Lemma VII.2.3: Compact-support diffeomorphism Lie structures, locally finite compact covers and the locally convex restricted direct-product topology; finite-support factorization with an existential terminal index for each input. (hard)
  • Theorem VIII.2: Unresolved printed source statement: Theorem VIII.2 (source-ambiguity)
  • Corollary IX.1.2: The natural LF manifold structure on compactly supported diffeomorphisms; continuity of the supplied homomorphism refers to that topology and smoothness refers to its actual charts. (hard)
  • Corollary IX.1.7: Unresolved printed source statement: Corollary IX.1.7 (source-ambiguity)
  • Theorem IX.1.9: Unresolved printed source statement: Theorem IX.1.9 (source-ambiguity)
  • Remark I.5.3 (explicit unnumbered result): The actual smooth vector-field space with the topology induced by all iterated tangent maps; finite-dimensional bracket continuity and the affine-field restriction proving failure on every nonempty open subset of an infinite-dimensional model. (hard)
  • Example II.1.4 (explicit unnumbered result): Continuous inverse algebra unit manifold as an open subset, smooth multiplication and inversion and the computed inversion derivative without imposing Mackey completeness or assuming an exponential. (hard)
  • Remark II.1.6 (explicit unnumbered result): The actual tangent bundle of a locally convex Lie group and tangent maps of multiplication and inversion, the zero identity vector, and zero-section/projection morphisms. (hard)
  • Remark II.3.7 (explicit unnumbered result): Smooth joint group actions and representations, actual infinitesimal derivatives with the left-action minus sign and linear-representation plus sign, and uniqueness of each action for a connected group. (hard)
  • Examples II.5.9 (explicit unnumbered result): Actual semidirect exponential and represented weak beta integral with beta(0)=id, the local-injectivity/surjectivity criteria, and both infinite diagonal-product examples in their product topologies. (hard)
  • Remark II.5.10 (explicit unnumbered result): Actual exponential of a Mackey-complete CIA unit group, tangent identification with A, and the differential represented by the integral of exp((1-t)x)y exp(tx) in precisely that noncommuting order. (hard)
  • Remark II.6.6 (explicit unnumbered result): The locally embedded subgroup definition via the smooth arc component of an identity neighborhood and its intrinsic Lie structure, and initiality for all finite orders. (hard)
  • Example IV.1.6 (explicit unnumbered result): The genuine homogeneous Dynkin BCH terms, finite polynomial sum for a nilpotent locally convex algebra, and its resulting group structure and identity exponential; H1 and H2 must not be counted twice. (hard)
  • Example IV.1.13 (explicit unnumbered result): Arbitrary projective systems of nilpotent topological Lie algebras with no uniform nilpotency bound, actual coordinatewise BCH products, and the induced smooth exponential group with exp=id. (hard)
  • Example IV.1.16 (explicit unnumbered result): The real sequence-space semidirect group, analytic structure and actual exp/log, smooth but nonanalytic inverse and exponential-coordinate multiplication; normed analyticity cannot be substituted on R^N. (hard)
  • Remark IV.2.5 (explicit unnumbered result): Independently chosen guarded local Lie products satisfying radial and second-order conditions, preservation by every continuous Lie algebra morphism near zero, and equality of their germs. (hard)
  • Example IV.4.5 (explicit unnumbered result): The Frechet smooth-function translation semidirect group, actual support-restricted subalgebra, generated subgroup C_c-infinity(R) semidirect R, and the exclusion of every exponential integration of the inclusion. (hard)
  • Example IV.4.6 (explicit unnumbered result): Unresolved printed source statement: Example IV.4.6 (explicit unnumbered result) (source-ambiguity)
  • Remark V.2.7 (explicit unnumbered result): Nonabelian group and Lie crossed cocycles with their actual infinitesimal differentiation map; normalized equivariant forms, injectivity for connected G, regular target integration and pointed-set exactness of the period sequence. (hard)
  • Remark V.2.9 (explicit unnumbered result): The stronger local cocycle smoothness at each g, H_ss^2 as the quotient by locally smooth coboundaries, and its actual extension-classification homomorphism without connectedness. (hard)
  • Remark V.2.16 (explicit unnumbered result): Unresolved printed source statement: Remark V.2.16 (explicit unnumbered result) (source-ambiguity)
  • Example V.3.5 (explicit unnumbered result): The actual torus area form, vector-field cocycle, period and flux maps, and the disconnected gauge kernel and principal circle bundle; the abelian extension must differentiate to that particular cocycle. (hard)
  • Remark VI.1.14 (explicit unnumbered result): Unresolved printed source statement: Remark VI.1.14 (explicit unnumbered result) (source-ambiguity)
  • Remark VI.1.22 (explicit unnumbered result): Unresolved printed source statement: Remark VI.1.22 (explicit unnumbered result) (source-ambiguity)
  • Example VI.2.8 (explicit unnumbered result): Formal vector fields with arbitrary constant term and coefficientwise Frechet topology, the formal derivative bracket and integrability to groups with exponential; the false split-sequence sentence is not an assumption. (hard)
  • Mapping groups as projective limits (unnumbered): Compact manifold-with-boundary exhaustion cofinal among all compact subsets, C^r mapping groups with the actual compact-open derivative topology and restriction bonding maps, and the topological-group limit universal property. (hard)
  • Lie algebra of the projective mapping group (unnumbered): The compact-open one-parameter-group Lie algebra of the projective mapping group, canonical identification with C^r(M,L(K)), and its actual pointwise exponential; no manifold structure on the noncompact full mapping group. (hard)
  • Holomorphic mapping-group projective limit (unnumbered): Unresolved printed source statement: Holomorphic mapping-group projective limit (unnumbered) (source-ambiguity)
  • Smooth structure from the pro-solvable coordinate chart (unnumbered): The actual pro-Lie integration functor and pro-solvable radical, closed commutator algebra and complemented weakly complete topology, and the specified exponential-product homeomorphism as a smooth group chart. (hard)

Selected references

  • Towards a Lie theory for locally convex groups, arXiv:1501.06269v1, https://arxiv.org/abs/1501.06269v1
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The weighted hook length formulaResearch Paper

Motivation

Based on the ideas in [CKP], we introduce the weighted analogue of the branching rule for the classical hook length formula, and give two proofs of this result. The first proof is completely bijective, and in a special case gives a new short combinatorial proof of the hook length formula. Our second proof is probabilistic, generalizing the (usual) hook walk proof of Green-Nijenhuis-Wilf, as well as the q-walk of Kerov. Further applications are also presented.

This mission is the statement-level formalization of The weighted hook length formula (arXiv:1006.0043v1). Every numbered result of the paper was scanned. The results stated here are open sorry goals, ready for solvers to prove.

What is formalized

10 statements of the paper are in Lean 4 (Mathlib 0df444a). The goal theorem is Four weighted branching identities (Theorem 2(a)–(d), PDF p. 6). The milestones are the other numbered results, in the paper's order, each quoting the paper.

The paper's own objects are the definition item of this mission. Objects shared across papers come from the prove2quantum library and from earlier papers' missions, listed as references.

Provenance: prove2quantum's pipeline drafted each statement (gpt-6.1-sol on Stanford's Sherlock cluster). A blind read-back, written without seeing the paper, is attached to every item. An independent moderator compared each statement against the paper and passed the whole paper without edits.

Deferred results

3 results of the paper are not stated yet, because the library lacks an interface they need:

  • §6.4, first new summation formula: An authoritative corrected first §6.4 summation formula with consistent coordinate and boundary conventions. (source-ambiguity)
  • §6.4, second new summation formula: An authoritative corrected second §6.4 summation formula with consistent coordinate and boundary conventions. (source-ambiguity)
  • §6.4, third new summation formula: An authoritative corrected third §6.4 summation formula with consistent coordinate and boundary conventions. (source-ambiguity)

Selected references

  • The weighted hook length formula, arXiv:1006.0043v1, https://arxiv.org/abs/1006.0043v1
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Unbounded generators of dynamical semigroupsResearch Paper

Motivation

Dynamical semigroups have become the key structure for describing open system dynamics in all of physics. Bounded generators are known to be of a standard form, due to Gorini, Kossakowski, Sudarshan and Lindblad. This form is often used also in the unbounded case, but rather little is known about the general form of unbounded generators. In this paper we first give a precise description of the standard form in the unbounded case, emphasizing intuition, and collecting and even proving the basic results around it. We also give a cautionary example showing that the standard form must not be read too naively. Further examples are given of semigroups, which appear to be probability preserving to first order, but are not for finite times. Based on these, we construct examples of generators which are not of standard form.

This mission is the statement-level formalization of Unbounded generators of dynamical semigroups (arXiv:1707.02266v1). Every numbered result of the paper was scanned. The results stated here are open sorry goals, ready for solvers to prove.

What is formalized

6 statements of the paper are in Lean 4 (Mathlib 0df444a). The goal theorem is No-event semigroups admit a C0 contraction implementation (Definition II.1, asserted realization of no-event semigroups, PDF p. 3). The milestones are the other numbered results, in the paper's order, each quoting the paper.

The paper's own objects are the definition item of this mission. Objects shared across papers come from the prove2quantum library and from earlier papers' missions, listed as references.

Provenance: prove2quantum's pipeline drafted each statement (gpt-6.1-sol on Stanford's Sherlock cluster). A blind read-back, written without seeing the paper, is attached to every item. An independent moderator compared each statement against the paper and passed the whole paper without edits.

Deferred results

19 results of the paper are not stated yet, because the library lacks an interface they need:

  • Abstract / Section IV: two concrete conservative non-standard generators: Concrete birth/diffusion models and standardness over all contraction generators (hard)
  • Section II.B, event expansion is the minimal semigroup: Completed event tensor powers, pathwise detection iterates, and trace-class partial traces (hard)
  • Proposition II.3: equivalent standard-form data: Exit rank-one lift, graph-continuous extension, Kraus and transit-basis correspondences (hard)
  • Section II.C, claimed converse resolvent characterization: Nondegeneracy of an abstract resolvent family (source-ambiguity)
  • Lemma II.6: gauge transformation: Corrected gauge data and equality of actual minimal standard semigroups (hard)
  • Proposition II.7: no additional nonzero rank-one factors: Standard jump realization with actual densely defined adjoints and forward equation (hard)
  • Section III.A: non-closable jump operators in a standard generator: Half-line H1 boundary trace and actual shift-generator jump composition (hard)
  • Section III.B.1: explicit quantum birth resolvent (32)–(33): Constructed quantum-birth standard semigroup and its actual Laplace resolvent (hard)
  • Lemma III.1: full birth-generator domain from matrix elements: Actual birth generator versus formal matrix-element action (hard)
  • Section III.B.2: conservativity and arrival transform: Quantum-birth arrival distribution and independent exponential waiting-time sum (hard)
  • Section III.B.3: boundary functionals and strict domain increase: Birth boundary coefficient functionals and constructed trace-class sigma (hard)
  • Proposition III.2: moderately growing rates support coherent escape: Moderately growing birth rates and trace-class coherent-shift operators (hard)
  • Section III.B.3, asserted stretched-exponential examples: A consistent quantitative moderate-growth condition (source-ambiguity)
  • Section III.B.3, Example: Exponentially growing rates: Exponential-rate birth generator and off-diagonal boundary functionals (hard)
  • Proposition III.3: no new rank-one operators for quantum birth: Computed actual birth and no-event domains on rank-one operators (hard)
  • Section III.C: diagonal-diffusion semigroup and resolvent kernels: Absorbing H2 half-line realization and a.e. trace-class kernel evolution (hard)
  • Section III.C: boundary regularity and normalization loss: Nuclear trace density, diffusion-domain regularity and boundary derivative (hard)
  • Section III.C: no new rank-one operators for diagonal diffusion: Actual Dirichlet adjoint realization and minimal diffusion rank-one domains (hard)
  • Section IV, conservative rank-one reset perturbation (52): Actual reset semigroups for both concrete nonconservative models (hard)

Selected references

  • Unbounded generators of dynamical semigroups, arXiv:1707.02266v1, https://arxiv.org/abs/1707.02266v1
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On Analytic Vectors for Unitary Representations of Infinite Dimensional Lie GroupsResearch Paper

Motivation

Let GGG be a 1-connected Banach-Lie group or, more generally, a BCH--Lie group. On the complex enveloping algebra U\C(\g)U_\C(\g)U\C​(\g) of its Lie algebra \g\g\g we define the concept of an analytic functional and show that every positive analytic functional λ\lambdaλ is integrable in the sense that it is of the form λ(D)=\la\ddπ(D)v,v\ra\lambda(D) = \la \dd\pi(D)v, v\raλ(D)=\la\ddπ(D)v,v\ra for an analytic vector vvv of a unitary representation of GGG. On the way to this result we derive criteria for the integrability of *-representations of infinite dimensional Lie algebras of unbounded operators to unitary group representations. For the matrix coefficient πv,v(g)=\laπ(g)v,v\ra\pi^{v,v}(g) = \la \pi(g)v,v\raπv,v(g)=\laπ(g)v,v\ra of a vector vvv in a unitary representation of an analytic Fr'echet-Lie group GGG we show that vvv is an analytic vector if and only if πv,v\pi^{v,v}πv,v is analytic in an identity neighborhood. Combining this insight with the results on positive analytic functionals, we derive that every local positive definite analytic function on a 1-connected Fr'echet--BCH--Lie group GGG extends to a global analytic function.

This mission is the statement-level formalization of On Analytic Vectors for Unitary Representations of Infinite Dimensional Lie Groups (arXiv:1002.4792v2). Every numbered result of the paper was scanned. The results stated here are open sorry goals, ready for solvers to prove.

What is formalized

9 statements of the paper are in Lean 4 (Mathlib 0df444a). The goal theorem is Analytic functionals: seminorm and Banach norm criteria (Proposition 3.4, PDF p. 9). The milestones are the other numbered results, in the paper's order, each quoting the paper.

The paper's own objects are the definition item of this mission. Objects shared across papers come from the prove2quantum library and from earlier papers' missions, listed as references.

Provenance: prove2quantum's pipeline drafted each statement (gpt-6.1-sol on Stanford's Sherlock cluster). A blind read-back, written without seeing the paper, is attached to every item. An independent moderator compared each statement against the paper and passed the whole paper without edits.

Deferred results

17 results of the paper are not stated yet, because the library lacks an interface they need:

  • Proposition 4.6: The actual smooth locally convex Lie group and its tangent Lie algebra, the smooth-vector subspace of the given continuous action on the same locally convex space V, and its computed tangent-derived action with values in that subspace. (hard)
  • Theorem 5.1: A paper-local locally convex analytic manifold interface: complexifications, continuous iterated directional derivatives, local holomorphic extension, actual tangent spaces and chart transitions. (hard)
  • Theorem 5.2: Analytic Frechet Lie groups in the source's locally convex calculus, continuous unitary actions on arbitrary complex Hilbert spaces, analytic full orbit maps, and their computed diagonal coefficients. No BCH hypothesis or derived-action interface is needed to state this criterion. (hard)
  • Corollary 5.3: Real analyticity of scalar functions on analytic Frechet Lie groups, local analyticity at the identity, and positive definiteness of the computed group kernel. No BCH, connectedness, tangent-derived action, or given Hilbert realization is needed to state the corollary. (hard)
  • Proposition 6.3: The canonical complexified enveloping algebra with its antilinear anti-automorphism x*=−x, canonical complex-linear extension of the given action, and positive coefficient functionals. (hard)
  • Proposition 6.5: The canonical complexified enveloping algebra with its antilinear anti-automorphism x*=−x, canonical complex-linear extension of the given action, and positive coefficient functionals. The canonical GNS construction from the supplied positive functional: null-space quotient, pre-Hilbert completion H_lambda, dense cyclic invariant domain D_lambda, and computed right regular action rho_lambda. (hard)
  • Lemma 6.7: A convergent BCH Lie algebra interface in the locally convex holomorphic calculus, linked to actual unitary Stone flows with full graph-closure generators. (hard)
  • Theorem 6.8: Actual BCH/analytic Lie group structure and tangent Lie algebra identification, exponential curves, smooth and analytic orbit maps, and derived actions computed from the same continuous representation on the same Hilbert space. A convergent BCH Lie algebra interface in the locally convex holomorphic calculus, linked to actual unitary Stone flows with full graph-closure generators. (hard)
  • Lemma 6.9: The canonical complexified enveloping algebra with its antilinear anti-automorphism x*=−x, canonical complex-linear extension of the given action, and positive coefficient functionals. The canonical GNS construction from the supplied positive functional: null-space quotient, pre-Hilbert completion H_lambda, dense cyclic invariant domain D_lambda, and computed right regular action rho_lambda. (hard)
  • Unnumbered assertion before Theorem 6.10: An analytic locally convex Lie group with its actual tangent Lie algebra, smooth and analytic orbit maps for the same continuous unitary action on the same Hilbert space, and the canonical complex enveloping extension of its derived action with antilinear anti-automorphism x*=−x. No BCH or connectedness hypothesis is required. (hard)
  • Theorem 6.10: Actual BCH/analytic Lie group structure and tangent Lie algebra identification, exponential curves, smooth and analytic orbit maps, and derived actions computed from the same continuous representation on the same Hilbert space. The canonical complexified enveloping algebra with its antilinear anti-automorphism x*=−x, canonical complex-linear extension of the given action, and positive coefficient functionals. The canonical GNS construction from the supplied positive functional: null-space quotient, pre-Hilbert completion H_lambda, dense cyclic invariant domain D_lambda, and computed right regular action rho_lambda. (hard)
  • Corollary 6.11: Actual BCH/analytic Lie group structure and tangent Lie algebra identification, exponential curves, smooth and analytic orbit maps, and derived actions computed from the same continuous representation on the same Hilbert space. The canonical complexified enveloping algebra with its antilinear anti-automorphism x*=−x, canonical complex-linear extension of the given action, and positive coefficient functionals. The canonical GNS construction from the supplied positive functional: null-space quotient, pre-Hilbert completion H_lambda, dense cyclic invariant domain D_lambda, and computed right regular action rho_lambda. (hard)
  • Theorem 6.12: Actual BCH/analytic Lie group structure and tangent Lie algebra identification, exponential curves, smooth and analytic orbit maps, and derived actions computed from the same continuous representation on the same Hilbert space. A convergent BCH Lie algebra interface in the locally convex holomorphic calculus, linked to actual unitary Stone flows with full graph-closure generators. (hard)
  • Example 6.14: A source-consistent real multiplication representation and a probability-space assumption forcing nondiscreteness. (source-ambiguity)
  • Remark 6.15: An abelian Banach Lie group with actual exponential curves, a continuous unitary action with dense analytic full orbit vectors, and its computed closed kernel and exponential Lie algebra {x : for all real t, pi(exp(t*x))=1}. The kernel is not assumed an embedded Lie subgroup. (hard)
  • Lemma 7.2: A paper-local locally convex analytic manifold interface: complexifications, continuous iterated directional derivatives, local holomorphic extension, actual tangent spaces and chart transitions. (hard)
  • Theorem 7.3: Analytic Frechet BCH Lie groups and scalar analyticity in the source's locally convex calculus; a connected open identity neighborhood V, the full domain V*V-inverse, its local positive definite kernel, and global positive definite analytic extension. A group representation or derived action is not part of the data needed to state the result. (hard)

Selected references

  • On Analytic Vectors for Unitary Representations of Infinite Dimensional Lie Groups, arXiv:1002.4792v2, https://arxiv.org/abs/1002.4792v2
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Energy-constrained diamond norms and their use in quantum information theoryResearch Paper

Motivation

We consider the family of energy-constrained diamond norms on the set of Hermitian-preserving linear maps (superoperators) between Banach spaces of trace class operators. We prove that any norm from this family generates the strong (pointwise) convergence on the set of all quantum channels (which is more adequate for describing variations of infinite-dimensional channels than the diamond norm topology). We obtain continuity bounds for information characteristics (in particular, classical capacities) of energy-constrained quantum channels (as functions of a channel) with respect to the energy-constrained diamond norms which imply uniform continuity of these characteristics with respect to the strong convergence topology.

This mission is the statement-level formalization of Energy-constrained diamond norms and their use in quantum information theory (arXiv:1706.00361v2). Every numbered result of the paper was scanned. The results stated here are open sorry goals, ready for solvers to prove.

What is formalized

7 statements of the paper are in Lean 4 (Mathlib 0df444a). The goal theorem is Proposition 3 A–B: general-input ECD convergence and strong topology (Abstract topology result, precisely Proposition 3 A–B, PDF p. 6). The milestones are the other numbered results, in the paper's order, each quoting the paper.

The paper's own objects are the definition item of this mission. Objects shared across papers come from the prove2quantum library and from earlier papers' missions, listed as references.

Provenance: prove2quantum's pipeline drafted each statement (gpt-6.1-sol on Stanford's Sherlock cluster). A blind read-back, written without seeing the paper, is attached to every item. An independent moderator compared each statement against the paper and passed the whole paper without edits.

Deferred results

13 results of the paper are not stated yet, because the library lacks an interface they need:

  • §4, unnumbered: (2) is a norm on all L(A,B): A valid literal source claim on its printed domain; §4, unnumbered: (2) is a norm on all L(A,B) (source-ambiguity)
  • Remark 1: extension to operator-norm-bounded HP subsets: A valid literal source claim on its printed domain; Remark 1: extension to operator-norm-bounded HP subsets (source-ambiguity)
  • Proposition 4: output Holevo continuity and oscillator form: Adapters from accepted oscillator spectrum/entropy model to the closed-form coefficient-channel model, and actual sharpness constructions (hard)
  • Remark 3: existence of an optimal t: A valid literal source claim on its printed domain; Remark 3: existence of an optimal t (source-ambiguity)
  • Corollary 1: literal universal-metric claim: A valid literal source claim on its printed domain; Corollary 1: literal universal-metric claim (source-ambiguity)
  • Remark 4: any metric generating strong topology: A valid literal source claim on its printed domain; Remark 4: any metric generating strong topology (source-ambiguity)
  • Proposition 5: n-copy output QMI continuity: Adapters from accepted oscillator spectrum/entropy model to the closed-form coefficient-channel model, and actual sharpness constructions (hard)
  • Remark 5: full QCMI extension of Proposition 5: Adapters from accepted oscillator spectrum/entropy model to the closed-form coefficient-channel model, and actual sharpness constructions; full extended QCMI (hard)
  • Corollary 2: literal universal-metric claim: A valid literal source claim on its printed domain; Corollary 2: literal universal-metric claim (source-ambiguity)
  • Proposition 6: Holevo and regularized classical continuity: Adapters from accepted oscillator spectrum/entropy model to the closed-form coefficient-channel model, and actual sharpness constructions (hard)
  • Proposition 7 A–B: entanglement-assisted continuity: Adapters from accepted oscillator spectrum/entropy model to the closed-form coefficient-channel model, and actual sharpness constructions (hard)
  • Corollary 3 A–B: literal universal-metric claim: A valid literal source claim on its printed domain; Corollary 3 A–B: literal universal-metric claim (source-ambiguity)
  • §5.3: identity/vacuum sharpness examples: Adapters from accepted oscillator spectrum/entropy model to the closed-form coefficient-channel model, and actual sharpness constructions (hard)

Selected references

  • Energy-constrained diamond norms and their use in quantum information theory, arXiv:1706.00361v2, https://arxiv.org/abs/1706.00361v2
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Quantum Information·Captain: Goku

Minimal computational-space implementation of multi-round quantum protocolsResearch Paper

Motivation

A single-party strategy in a multi-round quantum protocol can be implemented by sequential networks of quantum operations connected by internal memories. Here provide the most efficient realization in terms of computational-space resources.

This mission is the statement-level formalization of Minimal computational-space implementation of multi-round quantum protocols (arXiv:1006.1780v1). Every numbered result of the paper was scanned. The results stated here are open sorry goals, ready for solvers to prove.

What is formalized

3 statements of the paper are in Lean 4 (Mathlib 0df444a). The goal theorem is Lemma 1 and Eq.(8): Haar averaging preserves the optimum and yields covariance (Lemma 1 and Eq.(8): Haar averaging preserves the optimum and yields covariance, PDF p. 3). The milestones are the other numbered results, in the paper's order, each quoting the paper.

The paper's own objects are the definition item of this mission. Objects shared across papers come from the prove2quantum library and from earlier papers' missions, listed as references.

Provenance: prove2quantum's pipeline drafted each statement (gpt-6.1-sol on Stanford's Sherlock cluster). A blind read-back, written without seeing the paper, is attached to every item. An independent moderator compared each statement against the paper and passed the whole paper without edits.

Deferred results

2 results of the paper are not stated yet, because the library lacks an interface they need:

  • Theorem 2 and Eq.(4), continued on p.3: A general changing-support coherent network with the literal Eq.(4) stage maps and all-round memory minima. (hard)
  • Conclusion, algorithm steps 1-5: A defined full-comb-to-prefix recovery and the support-space Eq.(4) synthesis procedure, linked to an actual output network. (hard)

Selected references

  • Minimal computational-space implementation of multi-round quantum protocols, arXiv:1006.1780v1, https://arxiv.org/abs/1006.1780v1
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Structure of H-(co)module Lie algebrasResearch Paper

Motivation

Let LLL be a finite dimensional Lie algebra over a field of characteristic 000. Then by the original Levi theorem, L=B⊕RL = B \oplus RL=B⊕R where RRR is the solvable radical and BBB is some maximal semisimple subalgebra. We prove that if LLL is an HHH-(co)module algebra for a finite dimensional (co)semisimple Hopf algebra HHH, then RRR is HHH-(co)invariant and BBB can be chosen to be HHH-(co)invariant too. Moreover, the nilpotent radical NNN of LLL is HHH-(co)invariant and there exists an HHH-sub(co)module S⊆RS\subseteq RS⊆R such that R=S⊕NR=S\oplus NR=S⊕N and [B,S]=0[B,S]=0[B,S]=0. In addition, the HHH-(co)invariant analog of the Weyl theorem is proved. In fact, under certain conditions, these results hold for an HHH-comodule Lie algebra LLL, even if HHH is infinite dimensional. In particular, if LLL is a Lie algebra graded by an arbitrary group GGG, then BBB can be chosen to be graded, and if LLL is a Lie algebra with a rational action of a reductive affine algebraic group GGG by automorphisms, then BBB can be chosen to be GGG-invariant. Also we prove that every finite dimensional semisimple HHH-(co)module Lie algebra over a field of characteristic 000 is a direct sum of its minimal HHH-(co)invariant ideals.

This mission is the statement-level formalization of Structure of H-(co)module Lie algebras (arXiv:1205.0778v7). Every numbered result of the paper was scanned. The results stated here are open sorry goals, ready for solvers to prove.

What is formalized

36 statements of the paper are in Lean 4 (Mathlib 0df444a). The goal theorem is Theorem 13 (abstract structural capstone; original seed) (Theorem 13 (abstract structural capstone; original seed), PDF p. 14). The milestones are the other numbered results, in the paper's order, each quoting the paper.

The paper's own objects are the definition item of this mission. Objects shared across papers come from the prove2quantum library and from earlier papers' missions, listed as references.

Provenance: prove2quantum's pipeline drafted each statement (gpt-6.1-sol on Stanford's Sherlock cluster). A blind read-back, written without seeing the paper, is attached to every item. An independent moderator compared each statement against the paper and passed the whole paper without edits.

Deferred results

7 results of the paper are not stated yet, because the library lacks an interface they need:

  • Example 4: Affine algebraic group coordinate Hopf algebra, rational actions and geometric reductivity (hard)
  • Example 7: Affine algebraic group coordinate Hopf algebra and the coaction constructed from a given rational action, with algebraic invariant-subspace correspondence (hard)
  • Example 10: Canonical Sweedler Hopf algebra, basis, and the specified action on sl2 plus its abelian adjoint copy (hard)
  • Theorem 5: Affine algebraic group coordinate Hopf algebra, rational actions and geometric reductivity (hard)
  • Theorem 11: Affine algebraic group coordinate Hopf algebra, rational actions and geometric reductivity (hard)
  • Corollary to Theorem 11: Affine algebraic group coordinate Hopf algebra, rational actions and geometric reductivity (hard)
  • Theorem 15: Affine algebraic group coordinate Hopf algebra, rational actions and geometric reductivity (hard)

Selected references

  • Structure of H-(co)module Lie algebras, arXiv:1205.0778v7, https://arxiv.org/abs/1205.0778v7
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Quantum Information·Captain: Goku

On the Fundamental Principles of Unbounded Functional CalculiResearch Paper

Motivation

In this paper, a new axiomatization for unbounded functional calculi is proposed and the associated theory is elaborated comprising, among others, uniqueness and compatibility results and extension theorems of algebraic and topological nature. In contrast to earlier approaches, no commutativity assumptions need to be made about the underlying algebras. In a second part, the abstract theory is illustrated in familiar situations (sectorial operators, semigroup generators, normal operators). New topological extension theorems are proved for the sectorial calculus and the Hille--Phillips calculus. Moreover, it is shown that the Stieltjes and the Hirsch calculus for sectorial operators are subcalculi of a (small) topological extension of the sectorial calculus.

This mission is the statement-level formalization of On the Fundamental Principles of Unbounded Functional Calculi (arXiv:2009.04733v1). Every numbered result of the paper was scanned. The results stated here are open sorry goals, ready for solvers to prove.

What is formalized

31 statements of the paper are in Lean 4 (Mathlib 0df444a). The goal theorem is Theorem 6.1 (Extension Theorem) (Theorem 6.1 (Extension Theorem), PDF p. 13). The milestones are the other numbered results, in the paper's order, each quoting the paper.

The paper's own objects are the definition item of this mission. Objects shared across papers come from the prove2quantum library and from earlier papers' missions, listed as references.

Provenance: prove2quantum's pipeline drafted each statement (gpt-6.1-sol on Stanford's Sherlock cluster). A blind read-back, written without seeing the paper, is attached to every item. An independent moderator compared each statement against the paper and passed the whole paper without edits.

Deferred results

17 results of the paper are not stated yet, because the library lacks an interface they need:

  • Lemma 4.3: A source correction preserving the printed scope (source-ambiguity)
  • §10, classical elementary sectorial-calculus identity: A source correction preserving the printed scope (source-ambiguity)
  • §10, unnumbered: compatibility under sector restriction: Concrete elementary sectorial contour evaluation, meromorphic sector/germ algebra, and its canonical algebraic/topological extensions (hard)
  • Lemma 11.3: Concrete elementary sectorial contour evaluation, meromorphic sector/germ algebra, and its canonical algebraic/topological extensions (hard)
  • Theorem 11.4: Concrete elementary sectorial contour evaluation, meromorphic sector/germ algebra, and its canonical algebraic/topological extensions (hard)
  • Corollary 11.5: Concrete elementary sectorial contour evaluation, meromorphic sector/germ algebra, and its canonical algebraic/topological extensions (hard)
  • §11, unnumbered: uniform and bp extensions: Concrete elementary sectorial contour evaluation, meromorphic sector/germ algebra, and its canonical algebraic/topological extensions (hard)
  • Proposition 12.1: Finite-complex-measure strong operator integral, Stieltjes symbol construction, and concrete uniform sectorial extension (hard)
  • §12.2, unnumbered: Hirsch calculus inclusion: Weighted Radon complex measure integration, constructed Hirsch decomposition, and concrete uniform sectorial extension (hard)
  • Proposition 12.2: Principal complex powers, damped fractional holomorphic-semigroup evaluation, finite-complex-measure strong integration and the uniform sectorial extension (hard)
  • Proposition 13.1 (Complex inversion formula): A source correction preserving the printed scope (source-ambiguity)
  • Theorem 13.3: Finite-complex-measure Laplace image algebra, inverse Laplace measure selection, and strong-integral Hille–Phillips evaluation with its computed extensions (hard)
  • Remark 13.4: Finite-complex-measure Laplace image algebra, inverse Laplace measure selection, and strong-integral Hille–Phillips evaluation with its computed extensions (hard)
  • §13.3, unnumbered: HP and sectorial compatibility: Concrete elementary sectorial contour evaluation, meromorphic sector/germ algebra, and its canonical algebraic/topological extensions; Finite-complex-measure Laplace image algebra, inverse Laplace measure selection, and strong-integral Hille–Phillips evaluation with its computed extensions (hard)
  • Remarks 13.5(1): Finite-complex-measure Laplace image algebra, inverse Laplace measure selection, and strong-integral Hille–Phillips evaluation with its computed extensions; bounded Stieltjes algebra and meromorphic half-plane germs (hard)
  • Lemma 13.6: A source correction preserving the printed scope (source-ambiguity)
  • §13.3, unnumbered: semigroup reconstruction: Concrete elementary sectorial contour evaluation, meromorphic sector/germ algebra, and its canonical algebraic/topological extensions; Finite-complex-measure Laplace image algebra, inverse Laplace measure selection, and strong-integral Hille–Phillips evaluation with its computed extensions (hard)

Selected references

  • On the Fundamental Principles of Unbounded Functional Calculi, arXiv:2009.04733v1, https://arxiv.org/abs/2009.04733v1
38 thms2 active usersReviewed
Quantum Information·Captain: Goku

The entropy power inequality for quantum systemsResearch Paper

Motivation

When two independent analog signals, X and Y are added together giving Z=X+Y, the entropy of Z, H(Z), is not a simple function of the entropies H(X) and H(Y), but rather depends on the details of X and Y's distributions. Nevertheless, the entropy power inequality (EPI), which states that exp [2H(Z)] \geq exp[2H(X)] + exp[2H(Y)], gives a very tight restriction on the entropy of Z. This inequality has found many applications in information theory and statistics. The quantum analogue of adding two random variables is the combination of two independent bosonic modes at a beam splitter. The purpose of this work is to give a detailed outline of the proof of two separate generalizations of the entropy power inequality to the quantum regime. Our proofs are similar in spirit to standard classical proofs of the EPI, but some new quantities and ideas are needed in the quantum setting. Specifically, we find a new quantum de Bruijin identity relating entropy production under diffusion to a divergence-based quantum Fisher information. Furthermore, this Fisher information exhibits certain convexity properties in the context of beam splitters.

This mission is the statement-level formalization of The entropy power inequality for quantum systems (arXiv:1205.3409v2). Every numbered result of the paper was scanned. The results stated here are open sorry goals, ready for solvers to prove.

What is formalized

17 statements of the paper are in Lean 4 (Mathlib 0df444a). The goal theorem is Entropy power inequality for the 50:50 beam splitter (Theorem VII.2, (89); paper-level seed pp.1–2, PDF p. 12). The milestones are the other numbered results, in the paper's order, each quoting the paper.

The paper's own objects are the definition item of this mission. Objects shared across papers come from the prove2quantum library and from earlier papers' missions, listed as references.

Provenance: prove2quantum's pipeline drafted each statement (gpt-6.1-sol on Stanford's Sherlock cluster). A blind read-back, written without seeing the paper, is attached to every item. An independent moderator compared each statement against the paper and passed the whole paper without edits.

Deferred results

6 results of the paper are not stated yet, because the library lacks an interface they need:

  • Lemma III.1: Hilbert-Schmidt space realization and closed domain of the canonical heat generator, including its quadrature double-commutator identification (hard)
  • Theorem III.3, (57): A correct source-level upper bound using the printed symplectic-eigenvalue data (source-ambiguity)
  • Equation (63): Correct entropy comparison and compatible majorization convention (source-ambiguity)
  • Lemma IV.5, (76)–(78): Spectral logarithm of a faithful infinite-dimensional density, unbounded Hamiltonian commutators, and weighted trace domains (hard)
  • Theorem V.1, (82): Finite entropy derivative domain with justified unbounded-log trace/derivative interchanges for the canonical heat flow (hard)
  • Appendix, (101)–(102): Specified generalized-function space or regularization/topology for the inverse-Q operator kernel (source-ambiguity)

Selected references

  • The entropy power inequality for quantum systems, arXiv:1205.3409v2, https://arxiv.org/abs/1205.3409v2
22 thms2 active usersReviewed
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