Prove2Me
Navigate
DiscoverCollectionsFormalpediaBlogsUsersMomentumMy Missions+
Prove2Me
⌕
Log in
← Collections

Famous Open Problems

Named conjectures and open problems with a precise Lean statement, from Riemann and Goldbach to Collatz and the Jacobian conjecture.

76 open missions

Missions

61–76 of 76
OpenCompletedAll
CombinatoricsNumber Theory·Captain: Lucas

Erdős Problem 30: Sidon sets in {1,…,N} have size √N + O(N^ε)Open Problem

Motivation

A set of integers is a Sidon set if all of its pairwise sums a+ba+ba+b (a≤ba\le ba≤b) are different. Sidon, in connection with Fourier analysis, asked how dense such sets can be, and the question became one of the standard problems of additive combinatorics. Let

h(N)=max⁡{∣A∣:A⊆{1,…,N}, A Sidon}.h(N)=\max\{|A| : A\subseteq\{1,\dots,N\},\ A \text{ Sidon}\}.h(N)=max{∣A∣:A⊆{1,…,N}, A Sidon}.

A counting argument shows h(N)≤(1+o(1))2Nh(N)\le (1+o(1))\sqrt{2N}h(N)≤(1+o(1))2N​, and the true order was settled early: h(N)∼Nh(N)\sim\sqrt Nh(N)∼N​. What remains open is the size of the error term h(N)−Nh(N)-\sqrt Nh(N)−N​. Erdős and Turán asked whether it is smaller than every power of NNN; Erdős offered $1000 for this problem (Erdős Problem #30), and it is also Problem 31 on Green's list of open problems and problem C9 in Guy's Unsolved Problems in Number Theory.

Timeline.

  • 1938 — Singer constructs, for every prime power qqq, a set of q+1q+1q+1 residues modulo q2+q+1q^2+q+1q2+q+1 with all differences distinct. Combined with the density of primes this gives h(N)≥(1−o(1))Nh(N)\ge(1-o(1))\sqrt Nh(N)≥(1−o(1))N​ (Singer 1938).
  • 1941 — Erdős and Turán prove h(N)≤N1/2+O(N1/4)h(N)\le N^{1/2}+O(N^{1/4})h(N)≤N1/2+O(N1/4) (Erdős–Turán 1941).
  • 1969 — Lindström gives an alternative proof with the explicit bound h(N)≤N1/2+N1/4+1h(N)\le N^{1/2}+N^{1/4}+1h(N)≤N1/2+N1/4+1 (Lindström 1969).
  • 2021 — Balogh, Füredi and Roy lower the constant: h(N)≤N1/2+0.998N1/4h(N)\le N^{1/2}+0.998N^{1/4}h(N)≤N1/2+0.998N1/4 for large NNN (arXiv:2103.15850).
  • 2022 — O'Bryant: h(N)≤N1/2+0.99703N1/4h(N)\le N^{1/2}+0.99703N^{1/4}h(N)≤N1/2+0.99703N1/4 for large NNN (arXiv:2207.07800).
  • 2023 — Carter, Hunter and O'Bryant: h(N)≤N1/2+0.98183N1/4+O(1)h(N)\le N^{1/2}+0.98183N^{1/4}+O(1)h(N)≤N1/2+0.98183N1/4+O(1), with substantial computer assistance (arXiv:2310.20032).

No upper bound with an error exponent below 1/41/41/4 is known, and no lower bound of the form h(N)≥N−O(Nε)h(N)\ge\sqrt N-O(N^{\varepsilon})h(N)≥N​−O(Nε) for every ε>0\varepsilon>0ε>0 is known either.

Setting

A set AAA in an additive commutative monoid is Sidon if for all i1,j1,i2,j2∈Ai_1,j_1,i_2,j_2\in Ai1​,j1​,i2​,j2​∈A,

i1+i2=j1+j2 ⟹ (i1=j1∧i2=j2) ∨ (i1=j2∧i2=j1).i_1+i_2=j_1+j_2\ \Longrightarrow\ (i_1=j_1\wedge i_2=j_2)\ \vee\ (i_1=j_2\wedge i_2=j_1).i1​+i2​=j1​+j2​ ⟹ (i1​=j1​∧i2​=j2​) ∨ (i1​=j2​∧i2​=j1​).

For a finite set XXX, maxSidon⁡(X)\operatorname{maxSidon}(X)maxSidon(X) is the largest size of a Sidon subset of XXX (the empty set is Sidon, so this is well defined), and

h(N)=maxSidon⁡({1,2,…,N}),h(0)=0.h(N)=\operatorname{maxSidon}(\{1,2,\dots,N\}),\qquad h(0)=0.h(N)=maxSidon({1,2,…,N}),h(0)=0.

The first values are h(1),…,h(15)=1,2,2,3,3,3,4,4,4,4,4,5,5,5,5h(1),\dots,h(15)=1,2,2,3,3,3,4,4,4,4,4,5,5,5,5h(1),…,h(15)=1,2,2,3,3,3,4,4,4,4,4,5,5,5,5 (OEIS A143824).

Formalization targets

Goal (Erdős Problem #30)

∀ε>0:h(N)−N=O ⁣(Nε)(N→∞).\forall\varepsilon>0:\qquad h(N)-\sqrt N = O\!\left(N^{\varepsilon}\right)\quad(N\to\infty).∀ε>0:h(N)−N​=O(Nε)(N→∞).

This is a two-sided statement: it asks both for an upper bound h(N)≤N+CεNεh(N)\le\sqrt N+C_\varepsilon N^\varepsilonh(N)≤N​+Cε​Nε and for a matching lower bound h(N)≥N−CεNεh(N)\ge\sqrt N-C_\varepsilon N^\varepsilonh(N)≥N​−Cε​Nε for large NNN. Erdős asked it as a yes/no question; the goal fixes the conjectured answer yes, so a disproof on the platform settles the question negatively.

Milestones (known results, weakest to strongest)

  1. Singer's construction: h(q2+q+1)≥q+1h(q^2+q+1)\ge q+1h(q2+q+1)≥q+1 for every prime power qqq.
  2. Singer's lower bound: h(N)≥(1−ε)Nh(N)\ge(1-\varepsilon)\sqrt Nh(N)≥(1−ε)N​ for every ε>0\varepsilon>0ε>0 and all large NNN.
  3. Erdős–Turán / Lindström: h(N)≤N+N1/4+1h(N)\le\sqrt N+N^{1/4}+1h(N)≤N​+N1/4+1 for all NNN.
  4. Balogh–Füredi–Roy: h(N)≤N+0.998N1/4h(N)\le\sqrt N+0.998N^{1/4}h(N)≤N​+0.998N1/4 for all large NNN.
  5. O'Bryant: h(N)≤N+0.99703N1/4h(N)\le\sqrt N+0.99703N^{1/4}h(N)≤N​+0.99703N1/4 for all large NNN.
  6. Carter–Hunter–O'Bryant: h(N)≤N+0.98183N1/4+Ch(N)\le\sqrt N+0.98183N^{1/4}+Ch(N)≤N​+0.98183N1/4+C for an absolute constant CCC.

Significance

The result itself. An affirmative answer would pin h(N)h(N)h(N) down to N\sqrt NN​ up to a sub-polynomial error, in both directions; Erdős even speculated that h(N)=N+O(1)h(N)=\sqrt N+O(1)h(N)=N​+O(1) might hold, while remarking that this is perhaps too optimistic. A negative answer would show that the Singer-type constructions or the counting upper bounds are off by a power of NNN. Either answer would be the first change in the exponent of the error term since 1941.

Formalizing it. The goal is open. All milestones are published theorems. The platform already contains weaker related results in other formalizations (for example the order-of-magnitude bounds cN≤max⁡∣A∣≤2N+1c\sqrt N\le \max|A|\le\sqrt{2N}+1cN​≤max∣A∣≤2N​+1 for Sidon subsets of an initial segment, and the Erdős–Turán construction); the sharp bounds listed as milestones are not stated there for this hhh. The upper bounds of Balogh–Füredi–Roy and O'Bryant are elementary but delicate optimizations, and the Carter–Hunter–O'Bryant bound relies on a large computation, so formalizing it is a substantial verification task in its own right.

Difficulty

For the upper bound, every known argument counts differences a−a′a-a'a−a′ in short windows and loses at the scale N1/4N^{1/4}N1/4; improvements since 1941 only change the constant in front of N1/4N^{1/4}N1/4. For the lower bound, the constructions (Singer, Bose, Ruzsa) produce Sidon sets of size about p\sqrt pp​ in a modulus ppp of size about NNN, and the loss comes from the gap between NNN and the nearest admissible modulus; bringing it below NεN^\varepsilonNε requires either new constructions or information about primes in very short intervals that is far beyond current knowledge.

Formalization scope

Sidon sets are formalized for sets in an arbitrary additive commutative monoid, with the definition, the decidability instance and maxSidon⁡\operatorname{maxSidon}maxSidon transcribed from the formal-conjectures library (definitions IsSidon, Finset.maxSidonSubsetCard, and Erdos30.h in FormalConjectures/ErdosProblems/30.lean), placed in the namespace Erdos30. The value h(N)h(N)h(N) is a natural number cast to R\mathbb RR; ⋅\sqrt{\cdot}⋅​ is the real square root and NεN^{\varepsilon}Nε, N1/4N^{1/4}N1/4 are real powers of N≥0N\ge 0N≥0. The goal's O(⋅)O(\cdot)O(⋅) is Mathlib's Asymptotics.IsBigO along atTop on N\mathbb NN. The goal is not trivialized by any junk value: hhh is a genuine finite maximum, and the O(⋅)O(\cdot)O(⋅) statement concerns all large NNN.

Useful infrastructure: basic lemmas on Sidon sets (hereditary under subsets, translation invariance, distinct differences), finite projective geometry or Bose's construction for the lower bounds, and prime gaps (Bertrand's postulate suffices for h(N)≥cNh(N)\ge c\sqrt Nh(N)≥cN​ with c<1c<1c<1; a prime number theorem in short intervals is needed for 1−o(1)1-o(1)1−o(1)). Contributions of reusable Sidon-set lemmas are welcome.

Selected references

  • J. Singer, A theorem in finite projective geometry and some applications to number theory, Trans. Amer. Math. Soc. 43 (1938), 377–385. https://doi.org/10.1090/S0002-9947-1938-1501951-4
  • P. Erdős and P. Turán, On a problem of Sidon in additive number theory, and on some related problems, J. London Math. Soc. 16 (1941), 212–215. https://doi.org/10.1112/jlms/s1-16.4.212
  • B. Lindström, An inequality for B2B_2B2​-sequences, J. Combin. Theory 6 (1969), 211–212. https://doi.org/10.1016/S0021-9800(69)80124-9
  • J. Balogh, Z. Füredi and S. Roy, An upper bound on the size of Sidon sets, Amer. Math. Monthly (2023). https://arxiv.org/abs/2103.15850
  • K. O'Bryant, On the size of finite Sidon sets (2022). https://arxiv.org/abs/2207.07800
  • D. Carter, Z. Hunter and K. O'Bryant, On the diameter of finite Sidon sets (2023). https://arxiv.org/abs/2310.20032
  • K. O'Bryant, A complete annotated bibliography of work related to Sidon sequences, Electron. J. Combin. DS11 (2004). https://arxiv.org/abs/math/0407117
  • T. F. Bloom, Erdős Problem #30, https://www.erdosproblems.com/30
  • Google DeepMind, formal-conjectures, FormalConjectures/ErdosProblems/30.lean. https://github.com/google-deepmind/formal-conjectures
8 thms3 active usersReviewed
CombinatoricsMathematical Logic·Captain: Lucas

Erdős Problem 592: which ω^β are partition ordinals?Open Problem

Motivation

Ramsey's theorem says that every red/blue colouring of the pairs of an infinite set has an infinite monochromatic subset. For well-ordered sets one can ask for more: the monochromatic set should have the same order type as the whole set. Erdős and Rado introduced the partition relation α→(β,c)2\alpha \to (\beta, c)^2α→(β,c)2 to measure exactly this, and asked which countable ordinals α\alphaα satisfy α→(α,3)2\alpha \to (\alpha, 3)^2α→(α,3)2 — every colouring either has a red copy of the whole order or a blue triangle. Such ordinals are called partition ordinals. Every partition ordinal α>1\alpha>1α>1 is a power of ω\omegaω, so the question becomes: for which countable β\betaβ is ωβ\omega^\betaωβ a partition ordinal? This is Erdős Problem 592.

The question is a basic test case for ordinal Ramsey theory: it is the smallest nontrivial "unbalanced" relation (a whole order type against a finite clique), and progress on it has repeatedly required new combinatorial methods.

Timeline (as recorded on erdosproblems.com/592):

  • 1957 — Specker. ω2→(ω2,3)2\omega^2 \to (\omega^2,3)^2ω2→(ω2,3)2, and ωn↛(ωn,3)2\omega^n \not\to (\omega^n,3)^2ωn→(ωn,3)2 for every finite n≥3n \ge 3n≥3.
  • 1972 — Chang. ωω→(ωω,3)2\omega^\omega \to (\omega^\omega,3)^2ωω→(ωω,3)2 (the subject of Erdős Problem 590). Milner extended this to ωω→(ωω,m)2\omega^\omega \to (\omega^\omega,m)^2ωω→(ωω,m)2 for all finite mmm; Larson (1973) gave a short proof.
  • 1974 — Galvin and Larson. If β≥3\beta \ge 3β≥3 and ωβ\omega^\betaωβ is a partition ordinal then β\betaβ is additively indecomposable, so β=ωγ\beta=\omega^\gammaβ=ωγ. They conjectured that every such β≥3\beta\ge3β≥3 works.
  • 2010 — Schipperus. Writing β=ωγ\beta=\omega^\gammaβ=ωγ: the relation holds when γ\gammaγ is a sum of one or two indecomposable ordinals, and fails when γ\gammaγ is a sum of four or more. This refutes the Galvin–Larson conjecture in general.

The case where γ\gammaγ is a sum of exactly three indecomposable ordinals appears to be the remaining open case.

Setting

An ordinal α\alphaα is identified with a well-ordered set XαX_\alphaXα​ of order type α\alphaα. A red/blue colouring of the complete graph KαK_\alphaKα​ on XαX_\alphaXα​ assigns to every pair of distinct vertices exactly one of two colours; equivalently, it is a pair of complementary simple graphs (red, blue) on XαX_\alphaXα​.

For ordinals α,β\alpha,\betaα,β and a cardinal ccc, the partition relation α→(β,c)2\alpha \to (\beta,c)^2α→(β,c)2 holds when every red/blue colouring of KαK_\alphaKα​ has

  • a set S⊆XαS \subseteq X_\alphaS⊆Xα​, all of whose pairs are red, whose order type (with the order inherited from XαX_\alphaXα​) is exactly β\betaβ, or
  • a set T⊆XαT \subseteq X_\alphaT⊆Xα​, all of whose pairs are blue, with ∣T∣=c|T| = c∣T∣=c.

The Lean predicate is Erdos592.OrdinalCardinalRamsey α β c, following the encoding used by the Formal Conjectures project. A partition ordinal is an α\alphaα with α→(α,3)2\alpha \to (\alpha,3)^2α→(α,3)2.

An ordinal is additively indecomposable if it is nonzero and a+b<βa+b<\betaa+b<β for all a,b<βa,b<\betaa,b<β; the additively indecomposable ordinals are exactly the powers ωδ\omega^\deltaωδ. An ordinal γ\gammaγ is the sum of kkk indecomposable ordinals when

γ=ωδ1+⋯+ωδk,δ1≥⋯≥δk,\gamma = \omega^{\delta_1}+\cdots+\omega^{\delta_k}, \qquad \delta_1 \ge \cdots \ge \delta_k,γ=ωδ1​+⋯+ωδk​,δ1​≥⋯≥δk​,

i.e. its Cantor normal form has kkk terms counted with multiplicity. The Lean predicate is Erdos592.IsSumOfIndecomposables k γ.

Formalization targets

Goal: the three-term case

γ countable, γ=ωδ1+ωδ2+ωδ3 (δ1≥δ2≥δ3)  ⟹  ωωγ→(ωωγ,3)2.\gamma \text{ countable},\ \gamma=\omega^{\delta_1}+\omega^{\delta_2}+\omega^{\delta_3}\ (\delta_1\ge\delta_2\ge\delta_3) \;\Longrightarrow\; \omega^{\omega^\gamma} \to \left(\omega^{\omega^\gamma}, 3\right)^2 .γ countable, γ=ωδ1​+ωδ2​+ωδ3​ (δ1​≥δ2​≥δ3​)⟹ωωγ→(ωωγ,3)2.

This is the positive answer in the open case, as predicted by the Galvin–Larson conjecture. Because the truth is unknown, a formal disproof (exhibiting a countable γ\gammaγ with three Cantor-normal-form terms for which the relation fails) is an equally valid resolution of the goal. Together with the milestones below, a proof of the goal gives a complete answer to Problem 592: for countable β\betaβ, ωβ\omega^\betaωβ is a partition ordinal iff β≤2\beta\le2β≤2 or β=ωγ\beta=\omega^\gammaβ=ωγ with γ\gammaγ a sum of at most three indecomposables.

Milestones (known results)

  1. Specker: ω2→(ω2,3)2\omega^2 \to (\omega^2,3)^2ω2→(ω2,3)2.
  2. Specker: ωn↛(ωn,3)2\omega^n \not\to (\omega^n,3)^2ωn→(ωn,3)2 for 3≤n<ω3 \le n < \omega3≤n<ω.
  3. Chang: ωω→(ωω,3)2\omega^\omega \to (\omega^\omega,3)^2ωω→(ωω,3)2.
  4. Galvin–Larson: β≥3\beta \ge 3β≥3 countable and ωβ→(ωβ,3)2\omega^\beta \to (\omega^\beta,3)^2ωβ→(ωβ,3)2 imply that β\betaβ is additively indecomposable.
  5. Schipperus: γ\gammaγ countable and a sum of one or two indecomposables imply ωωγ→(ωωγ,3)2\omega^{\omega^\gamma} \to (\omega^{\omega^\gamma},3)^2ωωγ→(ωωγ,3)2.
  6. Schipperus: γ\gammaγ countable and a sum of k≥4k \ge 4k≥4 indecomposables imply ωωγ↛(ωωγ,3)2\omega^{\omega^\gamma} \not\to (\omega^{\omega^\gamma},3)^2ωωγ→(ωωγ,3)2.

Significance

The result itself. A resolution of the three-term case would, together with the results above, finish the classification of countable partition ordinals of the form ωβ\omega^\betaωβ asked for in Problem 592. Either answer is informative: a positive answer shows the threshold between the positive and negative cases lies between three and four terms, and a negative answer shows it lies between two and three.

Formalizing it. The drafter is not aware of any of the milestone results in Mathlib. The Formal Conjectures entry for Problem 590 links an external Lean formalization of Chang's theorem; the other results (Specker's positive and negative theorems, Galvin–Larson, Schipperus) have, to the best of the drafter's knowledge, no public machine-checked proofs. Formalizing them is a substantial project on its own, independent of the open case, and the goal itself is an open research problem.

Difficulty

The property is not monotone in β\betaβ: it holds for β=2\beta=2β=2, fails for every finite β≥3\beta\ge3β≥3, holds again for β=ω\beta=\omegaβ=ω, and, by Schipperus, both holds and fails for various larger β=ωγ\beta=\omega^\gammaβ=ωγ depending on the number of terms in the Cantor normal form of γ\gammaγ. So no induction on β\betaβ can settle the question, and a naive transfer of the argument for a smaller exponent to a larger one can fail. The known positive and negative results use different arguments, and the three-term case lies exactly on the boundary between the ranges they cover.

Formalization scope

  • Ordinals and cardinals are Mathlib's Ordinal.{u} and Cardinal.{u} in an arbitrary universe u; "countable" is γ.card ≤ ℵ₀.
  • The graph lives on α.ToType, the canonical well-ordered type of order type α; a colouring is a pair of complementary SimpleGraphs (IsCompl red blue). A red KβK_\betaKβ​ is a red clique s with typeLT s = β; a blue K3K_3K3​ is a blue clique of cardinality exactly 3.
  • IsSumOfIndecomposables k γ requires a non-increasing list of exponents of length exactly k; without the ordering requirement, "sum of kkk" would not be well defined, since for instance ω+ω2=ω2\omega+\omega^2=\omega^2ω+ω2=ω2.
  • ω ^ ω ^ γ means ω(ωγ)\omega^{(\omega^\gamma)}ω(ωγ).
  • The Galvin–Larson milestone states additive indecomposability directly as ∀a,b<β, a+b<β\forall a,b<\beta,\ a+b<\beta∀a,b<β, a+b<β (for β≥3\beta \ge 3β≥3 this is equivalent to β=ωγ\beta=\omega^\gammaβ=ωγ).

The goal is not trivially satisfiable: the hypotheses hold, for example, for γ=3\gamma=3γ=3 and γ=ω2+ω+1\gamma=\omega^2+\omega+1γ=ω2+ω+1, and the conclusion is a genuine partition relation on an infinite ordinal.

Useful reusable infrastructure includes Cantor-normal-form combinatorics for countable ordinals, order-type calculations for subsets of ωβ\omega^\betaωβ, and a library of the classical colourings (Specker-type constructions). Contributions formalizing any milestone are welcome.

Selected references

  • T. F. Bloom, Erdős Problem #592, erdosproblems.com. https://www.erdosproblems.com/592 (this page lists the original references [Sp57], [Ch72], [GaLa74], [Sc10] cited below).
  • E. Specker, Teilmengen von Mengen mit Relationen, Comment. Math. Helv., 1957.
  • C. C. Chang, A partition theorem for the complete graph on ωω\omega^\omegaωω, J. Combinatorial Theory Ser. A, 1972.
  • J. A. Larson, A short proof of a partition theorem for the ordinal ωω\omega^\omegaωω, Ann. Math. Logic, 1973/74.
  • F. Galvin and J. Larson, Pinning countable ordinals, Fund. Math., 1974/75.
  • R. Schipperus, Countable partition ordinals, Ann. Pure Appl. Logic, 2010.
  • Formal Conjectures (Google DeepMind), Erdős Problems 590–592. https://github.com/google-deepmind/formal-conjectures
8 thms2 active usersReviewed
Combinatorics·Captain: Lucas

Erdős Problem 77: the limit of R(k)^(1/k)Open Problem

Motivation

The diagonal Ramsey number R(k)R(k)R(k) is the least nnn such that every red/blue colouring of the edges of the complete graph KnK_nKn​ contains a monochromatic copy of KkK_kKk​. Ramsey's theorem guarantees that R(k)R(k)R(k) is finite; the question of how fast it grows is one of the central problems of extremal and probabilistic combinatorics. Erdős asked repeatedly ([Er88], [Er93]; see erdosproblems.com/77) for the value of

lim⁡k→∞R(k)1/k.\lim_{k\to\infty} R(k)^{1/k}.k→∞lim​R(k)1/k.

It is not even known whether this limit exists.

Timeline.

  • 1935 — Erdős and Szekeres prove R(k)≤(2k−2k−1)R(k)\le\binom{2k-2}{k-1}R(k)≤(k−12k−2​), so R(k)≤4kR(k)\le 4^{k}R(k)≤4k and lim sup⁡kR(k)1/k≤4\limsup_k R(k)^{1/k}\le 4limsupk​R(k)1/k≤4 ([ES35]).
  • 1947 — Erdős proves R(k)>2k/2R(k) > 2^{k/2}R(k)>2k/2 for k≥3k\ge 3k≥3 by a counting (probabilistic) argument, so lim inf⁡kR(k)1/k≥2\liminf_k R(k)^{1/k}\ge\sqrt2liminfk​R(k)1/k≥2​ ([Er47]).
  • 1975 — Spencer improves the lower bound by a factor of 222: R(k)≥(1+o(1))2e k 2k/2R(k)\ge(1+o(1))\frac{\sqrt2}{e}\,k\,2^{k/2}R(k)≥(1+o(1))e2​​k2k/2 ([Sp75]). The exponential base 2\sqrt22​ has not been improved since.
  • 2009, 2023 — Conlon ([Co09]) and then Sah ([Sa23]) obtain super-polynomial savings over 4k4^k4k, but still with exponential base 444.
  • 2023 — Campos, Griffiths, Morris and Sahasrabudhe prove R(k)≤(4−ε)kR(k)\le(4-\varepsilon)^kR(k)≤(4−ε)k for some constant ε>0\varepsilon>0ε>0 and all large kkk: the first exponential improvement on the upper bound ([CGMS23]).
  • 2024 — Gupta, Ndiaye, Norin and Wei optimise the CGMS method and obtain R(k)≤3.8k+o(k)R(k)\le 3.8^{k+o(k)}R(k)≤3.8k+o(k) ([GNNW24]). Balister et al. extend exponential improvements to the multicolour setting ([BBCGHMST24]).

So today, if the limit exists, it lies in [2, 3.8][\sqrt2,\,3.8][2​,3.8].

Setting

For n∈Nn\in\mathbb Nn∈N consider simple graphs GGG on the vertex set {0,…,n−1}\{0,\dots,n-1\}{0,…,n−1}. A red/blue colouring of the edges of KnK_nKn​ is the same as such a graph GGG (the red edges) together with its complement GcG^{c}Gc (the blue edges). A kkk-clique of GGG is a set of exactly kkk vertices, any two of which are adjacent in GGG. Define

R(k)=min⁡{ n∈N: every graph G on n vertices has a k-clique in G or in Gc }.R(k)=\min\bigl\{\,n\in\mathbb N:\ \text{every graph } G \text{ on } n \text{ vertices has a } k\text{-clique in } G \text{ or in } G^{c}\,\bigr\}.R(k)=min{n∈N: every graph G on n vertices has a k-clique in G or in Gc}.

In the Lean development this is Erdos77.diagonalRamsey k. Small values: R(0)=0R(0)=0R(0)=0, R(1)=1R(1)=1R(1)=1, R(2)=2R(2)=2R(2)=2, R(3)=6R(3)=6R(3)=6, R(4)=18R(4)=18R(4)=18.

Formalization targets

Goal: existence of the limit

∃ L∈R:R(k)1/k ⟶ L(k→∞).\exists\,L\in\mathbb R:\qquad R(k)^{1/k}\ \longrightarrow\ L\qquad (k\to\infty).∃L∈R:R(k)1/k ⟶ L(k→∞).

The original problem asks for the value of the limit, which is unknown; a goal with a hard-coded value cannot be stated honestly. The goal therefore asserts only that the limit exists (as a real number). Determining LLL remains the ultimate aim; any proof of a specific value would in particular prove this goal.

Milestones (results from the literature)

  1. Erdős 1947: R(k)>2k/2R(k)>2^{k/2}R(k)>2k/2 for all k≥3k\ge 3k≥3.
  2. Spencer 1975: for every ε>0\varepsilon>0ε>0, eventually R(k)≥(1−ε)2e k 2k/2R(k)\ge(1-\varepsilon)\frac{\sqrt2}{e}\,k\,2^{k/2}R(k)≥(1−ε)e2​​k2k/2.
  3. Erdős–Szekeres 1935: R(k)≤(2k−2k−1)R(k)\le\binom{2k-2}{k-1}R(k)≤(k−12k−2​) for all k≥1k\ge1k≥1.
  4. Campos–Griffiths–Morris–Sahasrabudhe 2023: there is ε>0\varepsilon>0ε>0 with R(k)≤(4−ε)kR(k)\le(4-\varepsilon)^kR(k)≤(4−ε)k for all sufficiently large kkk.
  5. Gupta–Ndiaye–Norin–Wei 2024: for every δ>0\delta>0δ>0, eventually R(k)≤3.8(1+δ)kR(k)\le 3.8^{(1+\delta)k}R(k)≤3.8(1+δ)k, i.e. R(k)≤3.8k+o(k)R(k)\le 3.8^{k+o(k)}R(k)≤3.8k+o(k).

Significance

The result itself. Existence of the limit would say that diagonal Ramsey numbers have a well-defined exponential growth rate — a regularity statement that is currently unknown in either direction. Even the bounds 2≤lim inf⁡\sqrt2\le\liminf2​≤liminf and lim sup⁡≤3.8\limsup\le 3.8limsup≤3.8 are the products of decades of work, and the lower bound base 2\sqrt22​ has resisted improvement since 1947.

Formalizing it. The goal is open. The milestones are proved results in the literature; the classical ones (Erdős–Szekeres, Erdős 1947) are natural first formalization targets, and the recent upper bounds (CGMS, GNNW) are substantial formalization projects in their own right. The status of existing machine-checked formalizations of these results is not asserted here.

Difficulty

There is no known sub- or super-multiplicativity for R(k)R(k)R(k) that would give existence of the limit via Fekete's lemma: the natural product constructions relate R(kℓ)R(k\ell)R(kℓ) to R(k)R(k)R(k) and R(ℓ)R(\ell)R(ℓ) only with losses that are too large, and the best lower and upper bounds come from entirely different methods (random colourings versus the book algorithm), so neither side controls the other.

Formalization scope

  • R(k)R(k)R(k) is defined as an infimum over nnn of the property "every graph on Fin n\mathrm{Fin}\,nFinn has a kkk-clique in GGG or in GcG^{c}Gc". Lean's sInf of an empty set of naturals is 000; the Erdős–Szekeres milestone shows the set is nonempty, so the infimum is the genuine Ramsey number.
  • R(k)1/kR(k)^{1/k}R(k)1/k is the real power of the real number R(k)R(k)R(k) with exponent 1/k1/k1/k; the value at k=0k=0k=0 is irrelevant for the limit.
  • The limit is required to be a real number LLL; given the known bounds this loses nothing.
  • Asymptotic statements ("for all sufficiently large kkk") are expressed with the atTop filter on N\mathbb NN; "o(k)o(k)o(k)" in GNNW is encoded as "for every δ>0\delta>0δ>0, eventually with exponent (1+δ)k(1+\delta)k(1+δ)k".
  • Needed infrastructure: basic Ramsey theory for graphs on Fin n, binomial estimates, the probabilistic method for the lower bounds (Spencer uses the Lovász Local Lemma), and the CGMS book algorithm for the upper bounds. All of these are reusable beyond this mission.

Selected references

  • [Er47] P. Erdős, Some remarks on the theory of graphs, Bull. Amer. Math. Soc. 53 (1947), 292–294. https://doi.org/10.1090/S0002-9904-1947-08785-1
  • [ES35] P. Erdős and G. Szekeres, A combinatorial problem in geometry, Compositio Math. 2 (1935), 463–470. http://www.numdam.org/item/CM_1935__2__463_0/
  • [Sp75] J. Spencer, Ramsey's theorem — a new lower bound, J. Combin. Theory Ser. A 18 (1975), 108–115. https://doi.org/10.1016/0097-3165(75)90071-0
  • [Co09] D. Conlon, A new upper bound for diagonal Ramsey numbers, Ann. of Math. 170 (2009), 941–960. https://doi.org/10.4007/annals.2009.170.941
  • [Sa23] A. Sah, Diagonal Ramsey via effective quasirandomness, Duke Math. J. 172 (2023). https://arxiv.org/abs/2005.09251
  • [CGMS23] M. Campos, S. Griffiths, R. Morris, J. Sahasrabudhe, An exponential improvement for diagonal Ramsey, arXiv:2303.09521 (2023). https://arxiv.org/abs/2303.09521
  • [GNNW24] P. Gupta, N. Ndiaye, S. Norin, L. Wei, Optimizing the CGMS upper bound on Ramsey numbers, arXiv:2407.19026 (2024). https://arxiv.org/abs/2407.19026
  • [BBCGHMST24] P. Balister, B. Bollobás, M. Campos, S. Griffiths, E. Hurley, R. Morris, J. Sahasrabudhe, M. Tiba, Upper bounds for multicolour Ramsey numbers, arXiv:2410.17197 (2024). https://arxiv.org/abs/2410.17197
  • [Er88] P. Erdős, Problems and results in combinatorial analysis and graph theory, Discrete Math. 72 (1988), 81–92.
  • [Er93] P. Erdős, Some of my favorite solved and unsolved problems in graph theory, Quaestiones Math. 16 (1993), 333–350.
  • Erdős Problems, Problem #77. https://www.erdosproblems.com/77
66 thms5 active usersReviewed
Dynamical Systems·Captain: Lucas

Hilbert's 16th Problem for Algebraic Limit Cycles (Llibre's Conjecture)Open Problem

Motivation

The second part of Hilbert's 16th problem (Paris, 1900) asks for the maximal number and the relative position of the limit cycles of a planar polynomial differential system

x˙=P(x,y),y˙=Q(x,y),\dot x = P(x,y),\qquad \dot y = Q(x,y),x˙=P(x,y),y˙​=Q(x,y),

where P,QP,QP,Q are real polynomials of degree at most ddd. Smale listed it in 1998 among the mathematical problems for the next century and remarked that, apart from the Riemann hypothesis, it seems the hardest of Hilbert's problems (Smale 1998). Even for d=2d = 2d=2 it is not known whether the number of limit cycles is uniformly bounded.

J. Llibre's survey Sobre el problema 16 de Hilbert (La Gaceta de la RSME 18 (2015), 543–554) organises the question into seven problems and concentrates on a more tractable restriction: algebraic limit cycles, i.e. limit cycles contained in a real algebraic curve. For this restriction there is an explicit conjecture for the maximal number (Conjecture 1 of the survey, first stated in Llibre–Ramírez–Sadovskaia 2010). This mission formalizes that conjecture as its goal, together with the results of the survey on which it rests.

Timeline (as reported in the survey):

  • 1891–1897 — Poincaré introduces limit cycles and proves finiteness for systems without saddle connections.
  • 1900 — Hilbert poses the 16th problem.
  • 1923 — Dulac claims every polynomial system has finitely many limit cycles; in 1985 Ilyashenko finds a gap.
  • 1957/1959 — Petrovskii and Landis claim H(2)=3H(2)=3H(2)=3 and later find an error; 1979 (Chen–Wang) and 1982 (Shi) give quadratic systems with 4 limit cycles.
  • 1986 — Bamon proves finiteness for quadratic systems; 1991/1992 — Ilyashenko and Écalle independently prove finiteness for all polynomial systems.
  • 2001 — Christopher realises any non-singular algebraic curve's bounded components as hyperbolic limit cycles of a system of the same degree (Christopher 2001).
  • 2004 — Llibre and Rodríguez show every configuration of limit cycles is realisable by algebraic limit cycles (Llibre–Rodríguez 2004).
  • 2007 — Llibre and Zhao give a cubic system with two algebraic limit cycles (Llibre–Zhao 2007).
  • 2010 — Llibre, Ramírez and Sadovskaia bound the number of algebraic limit cycles when all invariant algebraic curves are generic, and state the conjecture.

Setting

A polynomial vector field is a pair V=(P,Q)V = (P, Q)V=(P,Q) of real polynomials in x,yx,yx,y; its degree is max⁡(deg⁡P,deg⁡Q)\max(\deg P, \deg Q)max(degP,degQ). A solution is a differentiable curve γ:R→R2\gamma:\mathbb R\to\mathbb R^2γ:R→R2 with γ′(t)=(P,Q)(γ(t))\gamma'(t) = (P,Q)(\gamma(t))γ′(t)=(P,Q)(γ(t)) for all ttt. A periodic orbit is the image of a non-constant periodic solution. A limit cycle is a periodic orbit OOO that is isolated among periodic orbits: some open set U⊇OU \supseteq OU⊇O contains no periodic orbit other than OOO.

A limit cycle is algebraic if it is contained in the zero set {f=0}\{f = 0\}{f=0} of a non-zero real polynomial fff. The algebraic Hilbert number Ha(d)H_a(d)Ha​(d) is the supremum, over all polynomial vector fields of degree at most ddd, of the number of algebraic limit cycles (a value in N∪{∞}\mathbb N \cup \{\infty\}N∪{∞}).

A curve f=0f = 0f=0 is invariant with cofactor KKK if P fx+Q fy=KfP\,f_x + Q\,f_y = K fPfx​+Qfy​=Kf. A family of irreducible curves is generic if (i) no curve is singular, (ii) the top-degree homogeneous part of each curve is square-free, (iii) distinct curves meet transversally, (iv) no three distinct curves share a point, and (v) the top-degree homogeneous parts of distinct curves are coprime.

Formalization targets

Goal — Conjecture 1 (Llibre–Ramírez–Sadovskaia)

Ha(d)=1+(d−1)(d−2)2(d≥2).H_a(d) = 1 + \frac{(d-1)(d-2)}{2}\qquad (d \ge 2).Ha​(d)=1+2(d−1)(d−2)​(d≥2).

The equality asserts both that the number of algebraic limit cycles is bounded by the right-hand side for every field of degree at most ddd, and that the bound is attained.

Milestones (in the order of the survey)

  1. §2, Problem 1 — every polynomial vector field has finitely many limit cycles (Écalle, Ilyashenko).
  2. §3 — H(1)=0H(1) = 0H(1)=0: vector fields of degree at most 111 have no limit cycles.
  3. Theorem 1(a),(b) — every configuration of limit cycles is realised, and realised by algebraic limit cycles in degree ≤2(n+r)−1\le 2(n+r)-1≤2(n+r)−1.
  4. Theorem 2 (Christopher) — the bounded components of a non-singular curve f=0f = 0f=0 are exactly the limit cycles, all hyperbolic, of x˙=αf−Dfy\dot x = \alpha f - D f_yx˙=αf−Dfy​, y˙=βf+Dfx\dot y = \beta f + D f_xy˙​=βf+Dfx​.
  5. Proposition 3 — invariance of fff is equivalent to invariance of its irreducible factors, with Kf=∑niKfiK_f = \sum n_i K_{f_i}Kf​=∑ni​Kfi​​.
  6. Theorem 4(a),(b) — for degree d≥2d \ge 2d≥2 and generic invariant curves, at most 1+(d−1)(d−2)21 + \frac{(d-1)(d-2)}{2}1+2(d−1)(d−2)​ (even ddd) or (d−1)(d−2)2\frac{(d-1)(d-2)}{2}2(d−1)(d−2)​ (odd ddd) algebraic limit cycles, and the bounds are attained.
  7. §7 example — the cubic system x˙=2y(10+xy)\dot x = 2y(10+xy)x˙=2y(10+xy), y˙=20x+y−20x3−2x2y+4y3\dot y = 20x + y - 20x^3 - 2x^2 y + 4y^3y˙​=20x+y−20x3−2x2y+4y3 has two algebraic limit cycles in 2x4−4x2+4y2+1=02x^4 - 4x^2 + 4y^2 + 1 = 02x4−4x2+4y2+1=0.
  8. Conjecture 2 — Ha(2)=1H_a(2) = 1Ha​(2)=1.
  9. Theorem 5 (Giacomini–Llibre–Viano) — an inverse integrating factor vanishes on every limit cycle.

Significance

A proof of the goal would settle Problems 6 and 7 of the survey: it would give a uniform bound, depending only on the degree, for the number of algebraic limit cycles, and identify the sharp value. The conjecture is consistent with every example known to the survey: the generic bound of Theorem 4 is sharp for even ddd, and the known non-generic examples exceed the generic bound only in odd degree and by one. Conjecture 2 (d=2d = 2d=2) is its first open case.

On the formal side, the milestones require a reusable library of planar dynamics that is currently absent from Mathlib: periodic orbits and limit cycles of planar vector fields, hyperbolicity via the divergence integral, inverse integrating factors, invariant algebraic curves and Darboux-type arguments, and topological configurations of Jordan curves. Theorems 1, 2, 4 and 5, Proposition 3 and the cubic example are proved in the literature but, as far as the proposal author knows, not formalized; the goal and Conjecture 2 are open.

Difficulty

The obvious route bounds the number of ovals of the invariant curve (Harnack's theorem) and relates the degree of the curve to the degree of the field. This fails because a field of degree ddd can have invariant curves of arbitrarily high degree, so no a-priori degree bound on the curve is available; Theorem 4 obtains one only under the genericity conditions (i)–(v), and the degree-3 example shows that non-generic curves behave differently. On the formal side, the dynamical milestones (Theorems 2 and 5, the cubic example) need Poincaré–Bendixson-type planar topology and uniqueness of solutions, which Mathlib does not yet provide.

Formalization scope

  • Polynomials are MvPolynomial (Fin 2) ℝ with variable 0 as xxx and 1 as yyy; points are ℝ × ℝ. The degree of a field is the maximum of the total degrees of PPP and QQQ, and Ha(d)H_a(d)Ha​(d) ranges over fields of degree at most ddd, matching equation (1) of the survey.
  • Counts of limit cycles are Set.encard values in ℕ∞, so an infinite family is ∞\infty∞, never silently 000; Ha(d)H_a(d)Ha​(d) is an iSup in ℕ∞, so the goal also asserts finiteness.
  • Solutions are global (HasDerivAt at every real time). A limit cycle is isolated among periodic orbits contained in a neighbourhood. An algebraic limit cycle lies in the zero set of some non-zero polynomial, with no degree restriction on the curve.
  • Genericity conditions (i), (iii), (iv) are imposed at complex points of C2\mathbb C^2C2; (ii), (v) use square-freeness and coprimality in R[x,y]\mathbb R[x,y]R[x,y]; "distinct curves" means non-associated polynomials.
  • Hyperbolicity of a limit cycle is encoded by a non-zero divergence integral over one period.
  • Theorem 1(b) is formalized without its final sentence (existence of a Darboux first integral).
  • Trivializing encodings are ruled out: algebraic limit cycles require a non-zero polynomial, and the conjecture is an equality in ℕ∞, not an inequality over a possibly empty family.

Contributions welcome: a planar ODE library (uniqueness, flows, Poincaré–Bendixson), Darboux theory of integrability, and proofs of the classical milestones.

Selected references

  • J. Llibre, Sobre el problema 16 de Hilbert, La Gaceta de la RSME 18 (2015), no. 3, 543–554 (source of this mission).
  • J. Llibre, R. Ramírez, N. Sadovskaia, On the 16th Hilbert problem for algebraic limit cycles, J. Differential Equations 248 (2010), 1401–1409. https://doi.org/10.1016/j.jde.2009.11.023
  • J. Llibre, G. Rodríguez, Configurations of limit cycles and planar polynomial vector fields, J. Differential Equations 198 (2004), 374–380. https://doi.org/10.1016/j.jde.2003.10.008
  • C. Christopher, Polynomial vector fields with prescribed algebraic limit cycles, Geom. Dedicata 88 (2001), 255–258. https://doi.org/10.1023/a:1013171019668
  • H. Giacomini, J. Llibre, M. Viano, On the nonexistence, existence and uniqueness of limit cycles, Nonlinearity 9 (1996), 501–516. https://doi.org/10.1088/0951-7715/9/2/013
  • J. Llibre, Y. Zhao, Algebraic limit cycles in polynomial systems of differential equations, J. Phys. A 40 (2007), 14207–14222. https://doi.org/10.1088/1751-8113/40/47/012
  • Yu. Ilyashenko, Centennial history of Hilbert's 16th problem, Bull. Amer. Math. Soc. 39 (2002), 301–354. https://doi.org/10.1090/s0273-0979-02-00946-1
  • S. Smale, Mathematical problems for the next century, Math. Intelligencer 20 (1998), no. 2, 7–15. https://doi.org/10.1007/bf03025291
15 thms2 active usersReviewed
Dynamical SystemsGroup Theory·Captain: Lucas

Gottschalk's Surjunctivity ConjectureOpen Problem

Motivation

A cellular automaton over a group GGG with a finite alphabet AAA is a map on configurations x:G→Ax : G \to Ax:G→A that updates every cell by the same finite local rule, read off from a finite neighbourhood of that cell. Cellular automata over Zd\mathbb{Z}^dZd go back to von Neumann and Ulam and are a standard model in symbolic dynamics; replacing Zd\mathbb{Z}^dZd by an arbitrary group links the theory to geometric group theory.

In 1973 Gottschalk asked which groups GGG have the property that every injective cellular automaton over GGG is automatically surjective, and called such groups surjunctive. For a finite group this is the pigeonhole principle, since AGA^GAG is then a finite set. For infinite groups the configuration space is an uncountable compact space and the pigeonhole principle is no longer available. Gottschalk's surjunctivity conjecture states that every group is surjunctive. It is open.

Timeline

  • 1962–1963 — Moore and Myhill prove the Garden of Eden theorem for Z2\mathbb{Z}^2Z2 (and, in the same way, Zd\mathbb{Z}^dZd): a cellular automaton is surjective if and only if it is pre-injective. In particular Zd\mathbb{Z}^dZd is surjunctive.
  • 1969 — Hedlund (crediting Curtis and Lyndon) characterises cellular automata over Z\mathbb{Z}Z as the continuous shift-commuting self-maps of AZA^{\mathbb{Z}}AZ (the Curtis–Hedlund–Lyndon theorem); the characterisation extends to every group.
  • 1973 — Gottschalk introduces surjunctivity and states the conjecture; he records Lawton's result that residually finite groups are surjunctive.
  • 1999 — Ceccherini-Silberstein, Machì and Scarabotti prove the Garden of Eden theorem for amenable groups, which implies that amenable groups are surjunctive.
  • 1999–2000 — Gromov introduces what Weiss names sofic groups, and both show that sofic groups are surjunctive. Sofic groups include all residually finite groups and all amenable groups.
  • Today — no group is known to be non-sofic, and no group is known to be non-surjunctive.

Setting

Fix a group GGG and a finite nonempty set AAA (the alphabet). A configuration is a function x:G→Ax : G \to Ax:G→A; the set of configurations is AGA^GAG. It carries the product topology, where AAA has the discrete topology; this makes AGA^GAG compact.

The left shift of xxx by g∈Gg \in Gg∈G is the configuration

(g⋅x)(h)=x(g−1h),h∈G,(g \cdot x)(h) = x(g^{-1}h), \qquad h \in G,(g⋅x)(h)=x(g−1h),h∈G,

written shift G g x in the Lean development. A map τ:AG→AG\tau : A^G \to A^Gτ:AG→AG is shift-equivariant (IsShiftEquivariant) if τ(g⋅x)=g⋅τ(x)\tau(g\cdot x) = g\cdot\tau(x)τ(g⋅x)=g⋅τ(x) for all ggg and xxx.

The group GGG is surjunctive (IsSurjunctive) if, for every finite nonempty alphabet AAA, every map τ:AG→AG\tau : A^G \to A^Gτ:AG→AG that is continuous, shift-equivariant and injective is also surjective.

A map τ\tauτ is a cellular automaton (IsCellularAutomaton) if there are a finite memory set S⊆GS \subseteq GS⊆G and a local rule μ:AS→A\mu : A^S \to Aμ:AS→A with

τ(x)(g)=μ(s↦x(gs))for all x∈AG, g∈G.\tau(x)(g) = \mu\big(s \mapsto x(gs)\big) \qquad \text{for all } x \in A^G,\ g \in G.τ(x)(g)=μ(s↦x(gs))for all x∈AG, g∈G.

Three classes of groups appear in the milestones:

  1. GGG is residually finite (IsResiduallyFinite) if every g≠1g \neq 1g=1 lies outside some normal subgroup of finite index.
  2. GGG is amenable if there is a finitely additive, left-invariant probability measure defined on all subsets of GGG (the existing platform definition Garrido.IsAmenable).
  3. GGG is sofic (IsSofic) if for every finite K⊆GK \subseteq GK⊆G and every ε>0\varepsilon > 0ε>0 there are a finite nonempty set XXX and a map σ:G→Sym(X)\sigma : G \to \mathrm{Sym}(X)σ:G→Sym(X) such that σgh(x)=σg(σh(x))\sigma_{gh}(x) = \sigma_g(\sigma_h(x))σgh​(x)=σg​(σh​(x)) for at least a (1−ε)(1-\varepsilon)(1−ε) fraction of the points x∈Xx \in Xx∈X whenever g,h∈Kg, h \in Kg,h∈K, and σg(x)≠x\sigma_g(x) \neq xσg​(x)=x for at least a (1−ε)(1-\varepsilon)(1−ε) fraction of the points whenever g∈K∖{1}g \in K \setminus \{1\}g∈K∖{1}.

Formalization targets

Goal: Gottschalk's conjecture

∀ G group:G is surjunctive.\forall\, G \text{ group}: \quad G \text{ is surjunctive.}∀G group:G is surjunctive.

Milestones

  1. Curtis–Hedlund–Lyndon: for finite AAA, a map τ:AG→AG\tau : A^G \to A^Gτ:AG→AG is continuous and shift-equivariant if and only if it is a cellular automaton.
  2. Subgroups: every subgroup of a surjunctive group is surjunctive.
  3. Local character: if every finitely generated subgroup of GGG is surjunctive, then GGG is surjunctive.
  4. Finite groups are surjunctive.
  5. Residually finite groups are surjunctive (Lawton).
  6. Amenable groups are surjunctive (Ceccherini-Silberstein–Machì–Scarabotti).
  7. Sofic groups are surjunctive (Gromov; Weiss).

Significance

The result itself. A positive answer would make the implication "injective ⇒\Rightarrow⇒ surjective" for cellular automata hold unconditionally, extending the pigeonhole principle from finite sets to all shift spaces AGA^GAG. Surjunctivity is also tied to Kaplansky's direct finiteness conjecture: for a surjunctive group GGG and any finite field KKK, the group ring K[G]K[G]K[G] is directly finite (ab=1⇒ba=1ab = 1 \Rightarrow ba = 1ab=1⇒ba=1). A counterexample would be the first known non-sofic group, since sofic groups are surjunctive.

Formalizing it. Milestones 4–7 are proved results in the literature; milestones 1–3 are standard facts of the theory. At the time of writing, none of milestones 1–3 and 5–7 is known to exist as a machine-checked proof on this platform. Formalizing them requires building the basic theory of cellular automata over groups (memory sets, local rules, induced automata on subgroups), which can be reused by other work in symbolic dynamics. The goal theorem itself is open.

Difficulty

For infinite GGG the space AGA^GAG is infinite, so no counting argument applies directly. All known proofs approximate GGG by finite objects: finite quotients (residually finite case), Følner sets with an entropy count (amenable case), or approximate finite permutation models (sofic case). No such approximation is known to exist for every group, and it is not known whether every group is sofic. A proof of the full conjecture therefore needs either a proof that every group is sofic or an argument that does not go through finite approximations.

Formalization scope

  • Groups GGG and alphabets AAA live in Type (universe 000). Alphabets are finite (Fintype) and nonempty; their topology is an arbitrary topology assumed to be discrete, and AGA^GAG carries Lean's product topology.
  • The shift is a plain function shift, not a MulAction instance, to avoid a clash with Mathlib's pointwise action on function types.
  • Amenability is taken from the existing platform definition Garrido.IsAmenable (finitely additive invariant probability measure on all subsets). Residual finiteness and soficity are defined in GottschalkSurjunctivity_Defs.
  • Soficity is stated with a normalised count of points; the conditions are required for every ε>0\varepsilon > 0ε>0, so small ε\varepsilonε is where the content lies.
  • Surjunctivity is not trivialised by the nonemptiness assumption: for a nonempty group and a nonempty alphabet, AGA^GAG is nonempty and, when GGG is infinite, uncountable.

Contributions welcome: the Curtis–Hedlund–Lyndon theorem, restriction and induction of cellular automata along subgroups, and the residually finite case are natural first steps.

Selected references

  • W. H. Gottschalk, Some general dynamical notions, Recent Advances in Topological Dynamics, Lecture Notes in Math. 318, Springer, 1973, pp. 120–125. https://doi.org/10.1007/BFb0061728
  • G. A. Hedlund, Endomorphisms and automorphisms of the shift dynamical system, Math. Systems Theory 3 (1969), 320–375. https://doi.org/10.1007/BF01691062
  • T. Ceccherini-Silberstein, A. Machì, F. Scarabotti, Amenable groups and cellular automata, Ann. Inst. Fourier 49 (1999), 673–685. https://doi.org/10.5802/aif.1686
  • M. Gromov, Endomorphisms of symbolic algebraic varieties, J. Eur. Math. Soc. 1 (1999), 109–197. https://doi.org/10.1007/PL00011162
  • B. Weiss, Sofic groups and dynamical systems, Sankhyā Ser. A 62 (2000), 350–359.
  • T. Ceccherini-Silberstein, M. Coornaert, Cellular Automata and Groups, Springer Monographs in Mathematics, 2010. https://doi.org/10.1007/978-3-642-14034-1
  • Wikipedia, Surjunctive group. https://en.wikipedia.org/wiki/Surjunctive_group
10 thms4 active usersReviewed
Discrete GeometryMathematical Physics·Captain: Lucas

Thomson Problem: Seven Electrons and the Known Exact SolutionsOpen Problem

Motivation

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

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

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

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

Setting

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

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

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

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

Formalization targets

Goal: N=7N=7N=7

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

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

Milestones: the other known exact solutions

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

Significance

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

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

Difficulty

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

Formalization scope

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

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

Selected references

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

Brocard's Conjecture: Four Primes Between Consecutive Prime SquaresOpen Problem

Motivation

For n≥1n \ge 1n≥1 let pnp_npn​ denote the nnn-th prime. Brocard's conjecture, named after Henri Brocard, asserts that for every n≥2n \ge 2n≥2 there are at least four primes strictly between pn2p_n^2pn2​ and pn+12p_{n+1}^2pn+12​ (Wikipedia). It belongs to the family of "primes between consecutive squares" problems together with Legendre's conjecture, and it is a concrete, elementary-looking question about short-interval prime distribution that remains open.

Timeline

  • Early 20th century — Brocard states the conjecture.
  • 2023 — L. A. Ferreira (arXiv:2307.08725) proves that the conjecture holds for all sufficiently large nnn.

Setting

Primes are listed in increasing order. In the Lean development the list is 0-indexed: Nat.nth Nat.Prime k is the kkk-th prime counting from 000, so nth 0 = 2, nth 1 = 3, nth 2 = 5, and so on. For an index nnn write prev=\mathrm{prev} = prev= n.nth Nat.Prime and next=\mathrm{next} = next= (n+1).nth Nat.Prime, two consecutive primes. The quantity of interest is

#{ q prime:prev2<q<next2 }.\#\{\, q \text{ prime} : \mathrm{prev}^2 < q < \mathrm{next}^2 \,\}.#{q prime:prev2<q<next2}.

Target

Milestone (Ferreira): for all sufficiently large indices nnn,

4≤#{ q prime:prev2<q<next2 }.4 \le \#\{\, q \text{ prime} : \mathrm{prev}^2 < q < \mathrm{next}^2 \,\}.4≤#{q prime:prev2<q<next2}.

Goal (Brocard's conjecture): the same inequality for every 0-indexed n≥1n \ge 1n≥1, i.e. for every pair of consecutive primes starting from (3,5)(3,5)(3,5).

Significance

A proof of the goal settles Brocard's conjecture outright. Given Ferreira's asymptotic result, the remaining work splits into making the threshold effective and closing the finite range below it, both of which would be new formal content; the milestone itself (formalizing Ferreira's analytic argument) is a substantial analytic-number-theory formalization project.

Difficulty

Unconditional results on primes in short intervals [x,x+xθ][x, x + x^{\theta}][x,x+xθ] only reach exponents θ\thetaθ well above 1/21/21/2, while the interval (pn2,pn+12)(p_n^2, p_{n+1}^2)(pn2​,pn+12​) has length about 2pngn2 p_n g_n2pn​gn​ where gn=pn+1−png_n = p_{n+1} - p_ngn​=pn+1​−pn​ can be small (e.g. twin primes), i.e. length on the order of the square root of its endpoint. Standard short-interval theorems therefore do not apply uniformly, and Legendre's conjecture — which would only give two primes here — is itself open.

Formalization scope

Everything is stated with Mathlib's Nat.nth Nat.Prime, Finset.Ioo (open interval, endpoints excluded) and Finset.filter Nat.Prime, followed by Finset.card. The hypothesis 1 ≤ n in the goal is the 0-indexed form of the source's "n≥2n \ge 2n≥2"; it is necessary, since for index 000 (primes 2,32, 32,3) the interval (4,9)(4, 9)(4,9) contains only the two primes 5,75, 75,7. The milestone uses Filter.atTop ("for all sufficiently large nnn"), with no explicit threshold. No custom definitions are required.

Selected references

  • Brocard's conjecture, Wikipedia. https://en.wikipedia.org/wiki/Brocard%27s_conjecture
  • L. A. Ferreira, Real exponential sums over primes and prime gaps, arXiv:2307.08725 (2023). https://arxiv.org/abs/2307.08725
  • Statement adapted from the Formal Conjectures project (Apache-2.0), file BrocardConjecture.lean.
4 thms1 active userReviewed
Group Theory·Captain: dbenbenn

Is Thompson's group F amenable? (Geoghegan's conjecture)Open Problem

This mission formalizes Geoghegan's conjecture that Thompson's group FFF is not amenable, in the form stated by Cannon, Floyd and Parry, Introductory notes on Richard Thompson's groups, L'Enseignement Math. (2) 42 (1996), §4, p. 227 (doi:10.5169/seals-87877), together with the landmark results of the literature on the question.

Motivation

A discrete group is amenable when it carries a finitely additive, translation-invariant probability measure on all of its subsets. Groups containing a non-abelian free subgroup are not amenable, and the question whether every non-amenable group contains one (the von Neumann problem) made Thompson's group FFF the first natural candidate for a counterexample: it contains no non-abelian free subgroup, and it is not elementary amenable. Geoghegan conjectured in 1979 that FFF is not amenable; several announced solutions in each direction have not survived.

Timeline.

  • 1965: Richard Thompson defines the groups FFF, TTT and VVV (Cannon–Floyd–Parry, p. 215).
  • 1979: Geoghegan conjectures that FFF contains no non-abelian free subgroup and is not amenable (Cannon–Floyd–Parry, p. 227).
  • 1985: Brin and Squier prove that FFF contains no non-abelian free subgroup (doi:10.1007/BF01388519).
  • 1996: Cannon, Floyd and Parry prove, using Chou's work on elementary amenable groups, that FFF is not elementary amenable (Theorem 4.10).
  • 2009–2014: announced proofs of amenability (Shavgulidze, 2009; Moore, 2012) and of non-amenability (Akhmedov, 2009; Beklaryan, 2011; Wajnryb–Witowicz, 2014) are withdrawn by their authors or found to contain serious errors.
  • 2013: Moore proves that if FFF is amenable, its Følner sets grow at least like a tower of exponentials (doi:10.4171/GGD/201).
  • 2013: Monod introduces the groups H(A)H(A)H(A) of piecewise-projective homeomorphisms of the line, proves that they have no non-abelian free subgroup and are not amenable for every subring A≠ZA \ne \mathbf ZA=Z of R\mathbf RR, and asks whether H(Z)H(\mathbf Z)H(Z) is amenable (Problem 12) (doi:10.1073/pnas.1218426110).
  • 2015: Juschenko, Matte Bon, Monod and de la Salle introduce extensive amenability of group actions, and prove that a subgroup of Monod's group of piecewise-projective homeomorphisms of the line is amenable if and only if its action on the line is extensively amenable (Theorem 6.4; arXiv 2015; published 2018, doi:10.1017/etds.2016.32).
  • 2017: Kaimanovich proves that random walks on FFF with finitely supported, strictly non-degenerate step distributions have non-trivial Poisson boundary (doi:10.1017/9781316576571.013).
  • 2019: Chornyi shows that FFF is amenable if and only if its action on the dyadic rationals in (0,1)(0,1)(0,1) is extensively amenable (arXiv:1907.01440).
  • 2019: Kim, Koberda and Lodha show that large powers of two homeomorphisms of the line with overlapping supports generate a copy of FFF (doi:10.24033/asens.2397).
  • 2021: Stankov records, from Kim–Koberda–Lodha, that H(Z)H(\mathbf Z)H(Z) contains a copy of FFF, so that amenability of H(Z)H(\mathbf Z)H(Z) would imply amenability of FFF (doi:10.1017/etds.2019.76).
  • 2023: Monod shows that the Thompson group HQ(Z)≅FH_{\mathbf Q}(\mathbf Z) \cong FHQ​(Z)≅F is not co-amenable in the group HQ(Q)H_{\mathbf Q}(\mathbf Q)HQ​(Q) (doi:10.4171/ggd/883).
  • 2023: Guba's survey records that "the famous problem about amenability of FFF remains open" (doi:10.46298/jgcc.2023.15.1.11315), and it remains open as of 2026.

Setting

Let UI be the unit interval [0,1][0,1][0,1]. Thompson's group FFF (CannonFloydParry.F) is the group, under composition, of the order-preserving homeomorphisms of [0,1][0,1][0,1] that are piecewise linear with finitely many breakpoints, every breakpoint a dyadic rational k/2nk/2^nk/2n and every slope a power of 222. It is generated by two elements and finitely presented (Cannon–Floyd–Parry, Corollary 2.6 and Theorem 3.4).

A mean on a set SSS is a function mmm from the subsets of SSS to [0,∞][0,\infty][0,∞] with m(∅)=0m(\emptyset) = 0m(∅)=0, m(A∪B)=m(A)+m(B)m(A \cup B) = m(A) + m(B)m(A∪B)=m(A)+m(B) for disjoint A,BA, BA,B, and m(S)=1m(S) = 1m(S)=1. A group GGG is amenable (Garrido.IsAmenable G) when it carries a mean with m(gA)=m(A)m(gA) = m(A)m(gA)=m(A) for all g∈Gg \in Gg∈G and A⊆GA \subseteq GA⊆G, where gA={ga:a∈A}gA = \{ga : a \in A\}gA={ga:a∈A}. This is equivalent to the definition Cannon, Floyd and Parry give on p. 227, whose means take values in [0,1][0,1][0,1].

The milestones use four further notions, defined precisely in the definitions item and in their own statements:

  • A finite set A⊆GA \subseteq GA⊆G is ε\varepsilonε-Følner for a finite Γ⊆G\Gamma \subseteq GΓ⊆G when ∑γ∈Γ∣γA△A∣<ε∣A∣\sum_{\gamma\in\Gamma}|\gamma A \mathbin{\triangle} A| < \varepsilon|A|∑γ∈Γ​∣γA△A∣<ε∣A∣; by Følner's criterion, GGG is amenable exactly when it has such sets for every ε>0\varepsilon > 0ε>0.
  • A finitely supported probability measure μ\muμ on GGG drives a random walk; μ\muμ is strictly non-degenerate when its support generates GGG as a semigroup, and the walk is Liouville when every bounded μ\muμ-harmonic function, f(g)=∑hμ(h)f(gh)f(g) = \sum_h \mu(h) f(gh)f(g)=∑h​μ(h)f(gh), is constant.
  • An action of GGG on a set XXX is extensively amenable when the finite subsets of XXX carry a GGG-invariant mean that, for each finite E0⊆XE_0 \subseteq XE0​⊆X, gives full weight to the finite sets containing E0E_0E0​.
  • For a subring AAA of R\mathbf RR, Monod's group H(A)H(A)H(A) consists of the homeomorphisms of the real line that are piecewise projective, x↦(ax+b)/(cx+d)x \mapsto (ax+b)/(cx+d)x↦(ax+b)/(cx+d) with (abcd)∈SL2(A)\left(\begin{smallmatrix} a & b \\ c & d \end{smallmatrix}\right) \in \mathrm{SL}_2(A)(ac​bd​)∈SL2​(A), with finitely many breakpoints, each a fixed point of a hyperbolic element of SL2(A)\mathrm{SL}_2(A)SL2​(A). HB(A)H_B(A)HB​(A) allows breakpoints in a set BBB instead; HQ(Z)H_{\mathbf Q}(\mathbf Z)HQ​(Z) is isomorphic to FFF (Thurston). A subgroup KKK of JJJ is co-amenable when J/KJ/KJ/K carries a JJJ-invariant mean.

Formalization targets

Goal: Geoghegan's conjecture

¬ IsAmenable(F).\neg\,\mathrm{IsAmenable}(F).¬IsAmenable(F).

The question is open. A proof of this statement proves the conjecture; a disproof shows that FFF is amenable, and settles the question the other way.

Landmarks

The milestones are results from the literature, stated as their sources state them: FFF has no non-abelian free subgroup (Cannon–Floyd–Parry, Corollary 4.9) and is not elementary amenable (Theorem 4.10), and Følner's criterion, all three already proved and linked as references; Moore's tower lower bound on Følner sets of FFF; Kaimanovich's theorem that random walks on FFF with finitely supported strictly non-degenerate steps are not Liouville; Chornyi's reformulation of amenability of FFF as extensive amenability of its action on the dyadic rationals; Stankov's embedding of FFF into Monod's H(Z)H(\mathbf Z)H(Z); Monod's theorem that HQ(Z)≅FH_{\mathbf Q}(\mathbf Z) \cong FHQ​(Z)≅F is not co-amenable in HQ(Q)H_{\mathbf Q}(\mathbf Q)HQ​(Q); and the theorem of Juschenko, Matte Bon, Monod and de la Salle that a subgroup of Monod's group of piecewise-projective homeomorphisms of the line is amenable if and only if its action on the line is extensively amenable.

A second open statement

Monod's Problem 12 asks whether H(Z)H(\mathbf Z)H(Z) is amenable; it is stated as ¬ Garrido.IsAmenable (Monod.H ⊥), where ⊥ is the smallest subring of R\mathbf RR, namely Z\mathbf ZZ; this is parallel to the goal. Through Stankov's embedding, a proof of the goal proves it, and a disproof of it disproves the goal. By the theorem of Juschenko, Matte Bon, Monod and de la Salle, it is equivalent to the statement that the action of H(Z)H(\mathbf Z)H(Z) on the line is not extensively amenable; that theorem is proved on this platform, through the germ-groupoid theorem of Juschenko, Nekrashevych and de la Salle (GermGroupoid.isAmenable_of_isExtensivelyAmenableOn), and for the subgroups of H(Z)H(\mathbf Z)H(Z) also in a sharper form, with extensive amenability on the set of possible breakpoints only (the breakpoint criterion).

Significance

The result. A proof of the conjecture would make FFF a finitely presented, torsion-free, non-amenable group with no non-abelian free subgroup, with a concrete description as a group of homeomorphisms of the interval. A disproof would make FFF an amenable group that is not elementary amenable, and by Moore's theorem one whose Følner sets are at least tower-sized.

Formalizing it. Corollary 4.9 and Theorem 4.10 of Cannon–Floyd–Parry are formalized and proved on this platform and enter as references. Chornyi's corollary is proved here; its "if" direction is proved directly, by establishing the case that Chornyi applies of the Juschenko–Matte Bon–Monod–de la Salle criterion. Moore's theorem is formalized and published together with the lemmas of its proof, and the milestone here has a solution that reduces it to that statement. Kaimanovich's theorem, Stankov's embedding, Monod's 2023 theorem and the theorem of Juschenko, Matte Bon, Monod and de la Salle are proved here as well, the last through the germ-groupoid theorem of Juschenko, Nekrashevych and de la Salle (GermGroupoid.isAmenable_of_isExtensivelyAmenableOn). The definitions of Følner sets, harmonic functions on groups and extensive amenability are reusable beyond this mission.

Difficulty

The obstructions to amenability that settle the question for most groups are absent here: FFF has no non-abelian free subgroup, and its elementary structure is well understood. In the other direction, the usual constructions of invariant means fail: by Moore's theorem any Følner set of FFF is at least tower-sized, so no explicit search can exhibit one, and by Kaimanovich's theorem the finitely supported random walks on FFF are not Liouville, so the random-walk route to amenability through a trivial Poisson boundary is closed.

Formalization scope

Lean representation and conventions.

  • FFF is a subgroup of the order isomorphisms of UI; H(A)H(A)H(A) and HB(A)H_B(A)HB​(A) are subgroups of the homeomorphisms of OnePoint ℝ. Groups of maps multiply by composition, (fg)(x)=f(g(x))(fg)(x) = f(g(x))(fg)(x)=f(g(x)); statements from sources that write the product in the other order are restated for this convention, with the equivalence explained in their natural-language statements.
  • Means take values in [0,∞][0,\infty][0,∞]; total mass 111 and finite additivity keep every value in [0,1][0,1][0,1].
  • Extensive amenability is stated for an action on [0,1][0,1][0,1] relative to the set of dyadic rationals in (0,1)(0,1)(0,1); the statement of Chornyi's corollary includes that FFF maps this set to itself.
  • The goal cannot be satisfied vacuously: amenability is a single existential statement about means on FFF, and FFF is a fixed, nontrivial, finitely generated group.

What is left out.

  • The Poisson boundary is not formalized: "Liouville" is Kaimanovich's equivalent reformulation through bounded harmonic functions on sgr⁡μ\operatorname{sgr}\musgrμ (p. 8).
  • The "in particular" clause of Moore's Theorem 1.1, on the Følner function, is not stated separately; with Følner's criterion it follows from the stated bound.
  • The withdrawn and disputed proofs in the timeline are not formalized.

What a development needs. Thompson's group FFF and its dyadic action (Cannon–Floyd–Parry §4), its tree diagrams and presentations, and amenability, Følner's criterion and the closure properties of amenable groups (Garrido I) are published and proved on this platform, as are Monod's groups and the isomorphism HQ(Z)≅FH_{\mathbf Q}(\mathbf Z) \cong FHQ​(Z)≅F (Monod.contDiff_and_exists_mulEquiv_HRat_F). Mathlib has Følner filters for measurable groups and Schreier graphs of quivers, but no random walks on groups; the proofs of the landmarks here supply what they need, and the germ-groupoid theorem of Juschenko, Nekrashevych and de la Salle (GermGroupoid.isAmenable_of_isExtensivelyAmenableOn) is reusable beyond this mission. Reductions of the goal or of Problem 12 to new, sharper statements are welcome, as is a disproof of either.

Selected references

  • J. W. Cannon, W. J. Floyd, W. R. Parry, Introductory notes on Richard Thompson's groups, L'Enseignement Math. (2) 42 (1996) 215–256. doi:10.5169/seals-87877
  • M. G. Brin, C. C. Squier, Groups of piecewise linear homeomorphisms of the real line, Invent. Math. 79 (1985) 485–498. doi:10.1007/BF01388519
  • J. T. Moore, Fast growth in the Følner function for Thompson's group F, Groups Geom. Dyn. 7 (2013) 633–651. doi:10.4171/GGD/201
  • V. A. Kaimanovich, Thompson's group F is not Liouville, in Groups, Graphs and Random Walks, LMS Lecture Note Ser. 436 (2017) 300–342. doi:10.1017/9781316576571.013
  • N. Monod, Groups of piecewise projective homeomorphisms, Proc. Natl. Acad. Sci. USA 110 (2013) 4524–4527. doi:10.1073/pnas.1218426110
  • K. Juschenko, N. Matte Bon, N. Monod, M. de la Salle, Extensive amenability and an application to interval exchanges, Ergodic Theory Dynam. Systems 38 (2018) 195–219. doi:10.1017/etds.2016.32
  • M. Chornyi, Superharmonic functions on the Lamplighter graph of Thompson's group F, preprint (2019). arXiv:1907.01440
  • V. Guba, Amenability problem for Thompson's group F: state of the art, J. Groups Complex. Cryptol. 15 (2023), no. 1. doi:10.46298/jgcc.2023.15.1.11315
  • S.-h. Kim, T. Koberda, Y. Lodha, Chain groups of homeomorphisms of the interval, Ann. Sci. Éc. Norm. Supér. (4) 52 (2019) 797–820. doi:10.24033/asens.2397
  • B. Stankov, Non-triviality of the Poisson boundary of random walks on the group H(ℤ) of Monod, Ergodic Theory Dynam. Systems 41 (2021) 1160–1189. doi:10.1017/etds.2019.76
  • N. Monod, Some comments on piecewise-projective groups of the line, Groups Geom. Dyn. 19 (2025) 459–476. doi:10.4171/ggd/883
54 thms2 active usersReviewed
AlgebraAnalysis·Captain: Lucas

Smale's Mean Value ConjectureOpen Problem

Motivation

The mean value problem, also called Smale's mean value conjecture, was posed by Stephen Smale in 1981 in his study of the complexity of root-finding algorithms for polynomials (Smale 1981). For a real differentiable function the mean value theorem produces, between two points, a point where the derivative equals a difference quotient. For a complex polynomial no such point need exist on a segment, and Smale asked for a substitute in which the special point is a critical point of the polynomial (a zero of its derivative). Estimates of this kind control how far Newton-type iterations can move, which is where Smale's original interest came from. The problem appears in lists of unsolved problems in mathematics, including Smale's own list of problems for the next century.

Timeline

  • 1981 — Smale poses the problem and proves the inequality below with constant K=4K = 4K=4 (Smale 1981). The example P(z)=zd−dzP(z) = z^d - dzP(z)=zd−dz shows that the constant cannot be smaller than d−1d\frac{d-1}{d}dd−1​ in degree ddd, so no constant below 111 works in all degrees.
  • 1989 — Tischler proves the inequality with the optimal constant K=d−1dK = \frac{d-1}{d}K=dd−1​ when all roots of PPP are real, and when all roots of PPP have the same absolute value (Tischler 1989).
  • 2007 — Conte, Fujikawa and Lakic prove K≤4d−1d+1K \le 4\frac{d-1}{d+1}K≤4d+1d−1​ (Conte–Fujikawa–Lakic 2007). Crane proves K<4−2.263dK < 4 - \frac{2.263}{\sqrt d}K<4−d​2.263​ for d≥8d \ge 8d≥8 (Crane 2007).
  • 2009 — Dubinin and Sugawa prove the reverse (dual) inequality with constant 1d 4d\frac{1}{d\,4^d}d4d1​ (Dubinin–Sugawa 2009); optimizing this lower bound is the dual mean value problem (Ng–Zhang 2016).

No absolute constant K<4K < 4K<4 is known that works in every degree.

Setting

Let PPP be a polynomial with complex coefficients of degree d≥2d \ge 2d≥2, and write P′P'P′ for its derivative. A critical point of PPP is a complex number ccc with P′(c)=0P'(c) = 0P′(c)=0; since d≥2d \ge 2d≥2, P′P'P′ is a nonconstant polynomial of degree d−1d-1d−1, so PPP has at least one and at most d−1d-1d−1 distinct critical points. Fix a complex number zzz that is not a critical point, P′(z)≠0P'(z) \ne 0P′(z)=0. For every critical point ccc we then have c≠zc \ne zc=z, and the difference quotient

P(z)−P(c)z−c\frac{P(z) - P(c)}{z - c}z−cP(z)−P(c)​

is well defined. The question is how small this quotient can be made, relative to ∣P′(z)∣|P'(z)|∣P′(z)∣, by choosing the critical point ccc well.

Formalization targets

Goal: Smale's mean value conjecture (K=1K = 1K=1)

For every complex polynomial PPP of degree d≥2d \ge 2d≥2 and every z∈Cz \in \mathbb Cz∈C with P′(z)≠0P'(z) \ne 0P′(z)=0 there is a critical point ccc of PPP with

∣P(z)−P(c)z−c∣≤∣P′(z)∣.\left| \frac{P(z) - P(c)}{z - c} \right| \le |P'(z)|.​z−cP(z)−P(c)​​≤∣P′(z)∣.

Stronger: the optimal constant

The same with ∣P′(z)∣|P'(z)|∣P′(z)∣ replaced by d−1d ∣P′(z)∣\frac{d-1}{d}\,|P'(z)|dd−1​∣P′(z)∣; the example zd−dzz^d - dzzd−dz shows this constant cannot be lowered.

Known results (milestones)

  1. Smale's inequality with K=4K = 4K=4.
  2. The extremal example P(z)=zd−dzP(z) = z^d - dzP(z)=zd−dz at z=0z = 0z=0, where every critical point gives exactly d−1d∣P′(0)∣\frac{d-1}{d}|P'(0)|dd−1​∣P′(0)∣, and its consequence that no constant K<1K < 1K<1 works in all degrees.
  3. Tischler's optimal inequality for polynomials with only real roots, and for polynomials whose roots all have the same absolute value.
  4. The Conte–Fujikawa–Lakic bound K≤4d−1d+1K \le 4\frac{d-1}{d+1}K≤4d+1d−1​.
  5. Crane's bound K<4−2.263dK < 4 - \frac{2.263}{\sqrt d}K<4−d​2.263​ for d≥8d \ge 8d≥8.
  6. The Dubinin–Sugawa dual inequality ∣P(z)−P(c)z−c∣≥∣P′(z)∣d 4d\left|\frac{P(z)-P(c)}{z-c}\right| \ge \frac{|P'(z)|}{d\,4^d}​z−cP(z)−P(c)​​≥d4d∣P′(z)∣​ for some critical point ccc.

Significance

The result itself. A positive answer gives a sharp, degree-independent mean value inequality for complex polynomials: for every non-critical point, some critical value is reachable along a chord whose slope is at most the local derivative. Bounds of this type feed into the analysis of Newton's method and of path-following root finders, and into the study of how critical values of a polynomial are distributed relative to its values. The conjecture is part of a family of open extremal problems on the geometry of critical points, alongside Sendov's conjecture.

Formalizing it. The goal and the optimal-constant form are open. The milestones are published theorems, none of which is known to have a machine-checked proof. Formalizing Smale's K=4K = 4K=4 bound and Tischler's special cases would put the classical tools of the subject (critical points of polynomials, univalent function estimates, root location) on a formal footing that later attempts can reuse.

Difficulty

The obvious strategies control the quotient through one critical point at a time: for instance, bounding ∣P(z)−P(c)∣|P(z) - P(c)|∣P(z)−P(c)∣ by integrating P′P'P′ along the segment from ccc to zzz. Such estimates lose a constant factor that depends on how the critical points are spread out, and the known uniform arguments all pass through distortion theorems for univalent functions, whose constants lead to KKK close to 444. Reaching K=1K = 1K=1 requires using all critical points simultaneously, and no argument doing this in every degree is known. The equality case zd−dzz^d - dzzd−dz, in which every critical point is equally bad, shows that any successful argument must be sharp for polynomials with maximally symmetric critical configurations.

Formalization scope

Polynomials are elements of ℂ[X] (Mathlib's Polynomial ℂ); the degree is natDegree, the derivative is Polynomial.derivative, evaluation is Polynomial.eval, and the roots of PPP are the multiset P.roots (counted with multiplicity). A critical point is a c : ℂ with P.derivative.eval c = 0. The absolute value is the norm ‖·‖ on ℂ, and the constants d−1d\frac{d-1}{d}dd−1​ and 4d−1d+14\frac{d-1}{d+1}4d+1d−1​ are computed in ℝ from the cast of natDegree.

Every statement assumes P′(z)≠0P'(z) \ne 0P′(z)=0. This is the standard normalization and is essential in Lean: division by zero returns 000, so without it the choice c=zc = zc=z would make the inequality trivially true whenever zzz is itself a critical point. With the hypothesis, every critical point ccc differs from zzz and the quotient is a genuine difference quotient.

Crane's bound is stated as the existence, for each degree d≥8d \ge 8d≥8, of a constant strictly below 4−2.263d4 - \frac{2.263}{\sqrt d}4−d​2.263​ that works for all polynomials of degree exactly ddd; this is equivalent to the best constant in degree ddd being strictly below that value.

A complete development needs basic facts on critical points of complex polynomials (existence, the Gauss–Lucas theorem), and, for the classical bounds, results from the theory of univalent functions such as the Koebe quarter theorem and coefficient estimates. These are reusable well beyond this mission. Contributions of any milestone, of supporting lemmas, and of partial results in fixed small degree are welcome.

Selected references

  • S. Smale, The fundamental theorem of algebra and complexity theory, Bull. Amer. Math. Soc. (N.S.) 4 (1981), 1–36. https://doi.org/10.1090/S0273-0979-1981-14858-8
  • D. Tischler, Critical points and values of complex polynomials, J. Complexity 5 (1989), 438–456. https://doi.org/10.1016/0885-064X(89)90019-8
  • A. Conte, E. Fujikawa, N. Lakic, Smale's mean value conjecture and the coefficients of univalent functions, Proc. Amer. Math. Soc. 135 (2007), 3295–3300. https://doi.org/10.1090/S0002-9939-07-08861-2
  • E. Crane, A bound for Smale's mean value conjecture for complex polynomials, Bull. London Math. Soc. 39 (2007), 781–791. https://doi.org/10.1112/blms/bdm063
  • V. Dubinin, T. Sugawa, Dual mean value problem for complex polynomials, Proc. Japan Acad. Ser. A 85 (2009), 135–137. https://arxiv.org/abs/0906.4605
  • T.-W. Ng, Y. Zhang, Smale's mean value conjecture for finite Blaschke products, J. Anal. 24 (2016), 331–345. https://arxiv.org/abs/1609.00170
  • Wikipedia, Mean value problem. https://en.wikipedia.org/w/index.php?title=Mean_value_problem&oldid=1374678764
10 thms2 active usersReviewed
Number Theory·Captain: Lucas

Brocard's Problem: n! + 1 = m²Open Problem

Motivation

Brocard's problem asks for all natural numbers nnn such that n!+1n! + 1n!+1 is a perfect square. Henri Brocard raised the question in 1876 and again in 1885, and Srinivasa Ramanujan independently posed it in 1913 in the Journal of the Indian Mathematical Society. Only three solutions are known, and the problem is listed as Erdős problem #398 (erdosproblems.com/398). It is one of the simplest-looking Diophantine equations mixing a multiplicative object (the factorial) with an additive shift, and it is a standard test case for conjectures such as the abc conjecture.

Timeline

  • 1876, 1885 — Brocard asks whether n!+1=m2n! + 1 = m^2n!+1=m2 has solutions other than n=4,5,7n = 4, 5, 7n=4,5,7.
  • 1913 — Ramanujan poses the same question (Question 469, J. Indian Math. Soc.).
  • 1993 — Overholt shows that, conditionally on (a weak form of) the abc conjecture, the equation has only finitely many solutions (Wikipedia summary).
  • 2000 — Berndt and Galway report a computer search finding no solutions other than n=4,5,7n = 4, 5, 7n=4,5,7 for n<109n < 10^9n<109.
  • Later searches — the search bound was extended further (Matson, to 101210^{12}1012; Epstein and Glickman, to 101510^{15}1015), again without new solutions.

No unconditional proof of finiteness is known.

Setting

For a natural number nnn, the factorial is n!=1⋅2⋯nn! = 1 \cdot 2 \cdots nn!=1⋅2⋯n, with 0!=10! = 10!=1. A Brown number pair is a pair (n,m)(n, m)(n,m) of natural numbers with

n!+1=m2.n! + 1 = m^2 .n!+1=m2.

The three known pairs are (4,5)(4, 5)(4,5), (5,11)(5, 11)(5,11) and (7,71)(7, 71)(7,71), since 25=5225 = 5^225=52, 121=112121 = 11^2121=112 and 5041=7125041 = 71^25041=712.

For the conditional milestone, the radical rad⁡(N)\operatorname{rad}(N)rad(N) of a natural number NNN is the product of the distinct primes dividing NNN. The abc conjecture asserts: for every ε>0\varepsilon > 0ε>0 there is Kε>0K_\varepsilon > 0Kε​>0 such that for all positive integers a,b,ca, b, ca,b,c with gcd⁡(a,b)=1\gcd(a, b) = 1gcd(a,b)=1 and a+b=ca + b = ca+b=c,

c<Kε rad⁡(abc)1+ε.c < K_\varepsilon \, \operatorname{rad}(abc)^{1+\varepsilon}.c<Kε​rad(abc)1+ε.

Formalization targets

Goal — Brocard's problem

{(n,m)∈N2:n!+1=m2}={(4,5), (5,11), (7,71)}.\{(n, m) \in \mathbb{N}^2 : n! + 1 = m^2\} = \{(4, 5),\ (5, 11),\ (7, 71)\}.{(n,m)∈N2:n!+1=m2}={(4,5), (5,11), (7,71)}.

This says both that the three known pairs are solutions and that there are no others.

Milestones

  1. Known solutions: 4!+1=524! + 1 = 5^24!+1=52, 5!+1=1125! + 1 = 11^25!+1=112, 7!+1=7127! + 1 = 71^27!+1=712.
  2. Berndt–Galway search bound: if n<109n < 10^9n<109 and n!+1=m2n! + 1 = m^2n!+1=m2, then n∈{4,5,7}n \in \{4, 5, 7\}n∈{4,5,7}.
  3. Overholt (conditional finiteness): if the abc conjecture holds, then {(n,m):n!+1=m2}\{(n, m) : n! + 1 = m^2\}{(n,m):n!+1=m2} is finite.

Significance

A resolution would settle a question open since 1876 and would be one of the rare complete solutions of a factorial Diophantine equation of this kind. The conditional finiteness result is a standard illustration of how the abc conjecture controls equations of the form n!+A=m2n! + A = m^2n!+A=m2.

For the formalization, the known-solutions milestone is a finite computation. The search-bound milestone is a large verified computation; a machine-checked certificate for it would be a reusable artifact. The conditional finiteness milestone formalizes a published argument that assumes the abc conjecture as a hypothesis. The goal itself is an open problem; none of these statements is known to have a machine-checked proof on this platform at the time of drafting.

Difficulty

Congruence obstructions cannot rule out large solutions: for every modulus MMM and every n≥Mn \ge Mn≥M one has n!≡0(modM)n! \equiv 0 \pmod Mn!≡0(modM), so n!+1≡1=12(modM)n! + 1 \equiv 1 = 1^2 \pmod Mn!+1≡1=12(modM) is a square modulo MMM. Local arguments alone therefore cannot close the problem. The known finiteness argument depends on the abc conjecture, which is itself unproved in the standard form used here. Computer searches only give lower bounds on any further solution.

Formalization scope

  • Numbers are natural numbers (ℕ); mmm ranges over N\mathbb{N}N, so the sign of mmm is not an issue. The factorial is Mathlib's Nat.factorial, with 0!=10! = 10!=1.
  • The goal is stated as an equality of sets of ordered pairs in N×N\mathbb{N} \times \mathbb{N}N×N, so it cannot be satisfied by proving only one inclusion.
  • The radical is defined as the product over the prime factors of NNN (so rad⁡(0)=rad⁡(1)=1\operatorname{rad}(0) = \operatorname{rad}(1) = 1rad(0)=rad(1)=1; the value at 000 never enters since a,b,c>0a, b, c > 0a,b,c>0).
  • The abc conjecture is a Prop-valued definition used as a hypothesis in the conditional milestone; it is not asserted anywhere. The exponent 1+ε1 + \varepsilon1+ε is a real power.
  • Overholt's published result assumes only a weak form of abc; the milestone assumes the standard form, which implies the weak form, so the milestone is a consequence of the published result.
  • All declarations live in the namespace Brocard.

Selected references

  • H. Brocard, Question 166, Nouv. Corresp. Math. 2 (1876), 287; Nouv. Ann. Math. (3) 4 (1885), 391.
  • S. Ramanujan, Question 469, J. Indian Math. Soc. 5 (1913), 59.
  • M. Overholt, The Diophantine equation n!+1=m2n! + 1 = m^2n!+1=m2, Bull. London Math. Soc. 25 (1993), 104.
  • B. C. Berndt and W. F. Galway, On the Brocard–Ramanujan Diophantine equation n!+1=m2n! + 1 = m^2n!+1=m2, Ramanujan J. 4 (2000), 41–42.
  • Erdős problem #398: https://www.erdosproblems.com/398
  • Brocard's problem, Wikipedia: https://en.wikipedia.org/wiki/Brocard%27s_problem
  • Formal Conjectures (Google DeepMind): https://github.com/google-deepmind/formal-conjectures
15 thms1 active userReviewed
AnalysisGeometry & Topology·Captain: Tamas Fulop

Moving Sofa ProblemOpen Problem

Motivation

The question of the largest area that can be moved around a corner has been studied since the late 1960s. Leo Moser posed it in 1966, and F. H. Hammersley gave the lower bound π/2+2/π≈2.2074\pi/2+2/\pi\approx2.2074π/2+2/π≈2.2074 and the upper bound 22≈2.8282\sqrt{2}\approx2.82822​≈2.828 in 1968. Joseph Gerver constructed a shape of area approximately 2.21952.21952.2195 in 1992 and described four constants AAA, BBB, φ\varphiφ, θ\thetaθ satisfying four equations, from which the shape is built. Dan Romik rewrote those equations in exact form as equations (1)-(4) in 2018 and reported high-precision values of the constants. Jineon Baek proved in 2024 that Gerver's shape is optimal: no larger shape can be moved around the corner. The proof was autoformalized in Lean 4 by Dean Cureton and AI agents in 2026, as the repository deancureton/MovingSofa, building on Dawid Trela's formalization of Gerver's constants and motion, Jonathan Ho's Brunn-Minkowski development, the Jordan-curve developments of R. Kirov and the TauCeti project, and Google DeepMind's formal-conjectures statement.

Timeline: Moser poses the problem (1966); Hammersley gives the π/2+2/π≈2.2074\pi/2+2/\pi\approx2.2074π/2+2/π≈2.2074 lower bound and the 22≈2.8282\sqrt{2}\approx2.82822​≈2.828 upper bound (1968); Gerver exhibits the 2.21952.21952.2195 shape and its differential equations (1992); Romik gives the exact equations and numerics (2018); Baek proves optimality (2024, arXiv:2411.19826); Cureton et al. complete a Lean 4 proof of optimality, existence and uniqueness of the constants, and movability of Gerver's shape (2026).

Setting

Work in the plane R2\mathbb{R}^2R2. The hallway is (−∞,1]×[0,1]∪[0,1]×(−∞,1](-\infty,1]\times[0,1]\cup[0,1]\times(-\infty,1](−∞,1]×[0,1]∪[0,1]×(−∞,1], the union of its horizontal and vertical sides. A moving sofa is a nonempty closed connected set sss in the horizontal side together with a continuous path mmm of plane isometries indexed by the unit interval, starting at the identity, keeping the image of sss inside the hallway at all times, and ending with the image inside the vertical side. Motions take values in the full isometry group E(2)E(2)E(2); continuity together with m(0)=idm(0)=\mathrm{id}m(0)=id forces the path to lie in the orientation-preserving component. The sofa constant is the supremum, in the extended nonnegative reals, of the areas volume(s)\mathrm{volume}(s)volume(s) over all moving sofas. The supremum is finite, at least 11/511/511/5, and attained.

Gerver's shape is defined from a rotation path. For constants AAA, BBB, φ\varphiφ, θ\thetaθ, let rrr be the piecewise function with breakpoints φ\varphiφ, θ\thetaθ, π/2−θ\pi/2-\thetaπ/2−θ, π/2−φ\pi/2-\varphiπ/2−φ from Romik's Theorem 2, let xxx and yyy be its cosine and sine integrals, and let ppp be the associated translation path. The sofa for those constants is the intersection over angles in [0,π/2][0,\pi/2][0,π/2] of the correspondingly rotated and translated hallways, with the endpoints using the horizontal and vertical sides. The four equations ABphiThetaSpec cut out the constants. They have exactly one solution with 0≤φ≤θ≤π/40\le\varphi\le\theta\le\pi/40≤φ≤θ≤π/4 and 0≤A0\le A0≤A, 0≤B0\le B0≤B. The same Lean development uses the identical notation as the formal statements, so prose and code read as one document.

Formalization targets

Goal: optimality of Gerver's sofa

For every AAA, BBB, φ\varphiφ, θ\thetaθ satisfying ABphiThetaSpec,

sofaConstant=volume(gerversSofaWith(A,B,φ,θ)).\mathrm{sofaConstant} = \mathrm{volume}(\mathrm{gerversSofaWith}(A,B,\varphi,\theta)).sofaConstant=volume(gerversSofaWith(A,B,φ,θ)).

The goal leaves unfixed which solution of the spec is used; by uniqueness all choices give the same shape up to the proved identification, so this is the stable form of Baek's Theorem 1.1. It asserts that the supremum equals the area of Gerver's shape, hence that no moving sofa has larger area and that the supremum is attained.

Supporting targets

∃! (A,B,φ,θ), ABphiThetaSpec(A,B,φ,θ).\exists!\,(A,B,\varphi,\theta),\ \mathrm{ABphiThetaSpec}(A,B,\varphi,\theta).∃!(A,B,φ,θ), ABphiThetaSpec(A,B,φ,θ). ∀ A,B,φ,θ, ABphiThetaSpec(A,B,φ,θ)  ⟹  ∃ m, IsMovingSofa(gerversSofaWith(A,B,φ,θ),m).\forall\,A,B,\varphi,\theta,\ \mathrm{ABphiThetaSpec}(A,B,\varphi,\theta)\implies \exists\,m,\ \mathrm{IsMovingSofa}(\mathrm{gerversSofaWith}(A,B,\varphi,\theta),m).∀A,B,φ,θ, ABphiThetaSpec(A,B,φ,θ)⟹∃m, IsMovingSofa(gerversSofaWith(A,B,φ,θ),m).

The first is Gerver's Theorem 2 in Romik's equation form on the closed domain. The second says every such shape admits a hallway motion. Together they supply the constants and the witness that the supremum is attained. The live mission records a root sketch composing the upper-bound half (every moving sofa is bounded by Gerver's area) with the movability witness into the supremum equality.

Significance

The result itself closes a problem open since 1966. It identifies the maximum area, shows the maximum is attained by an explicit shape, and determines that shape from four equations whose solution is unique. Consequences include the numerical enclosure 11/5≤volume≤∞11/5\le\mathrm{volume}\le\infty11/5≤volume≤∞ proved by interval arithmetic, the finiteness of the supremum, and the reduction of future improvements to the analysis of the functional QQQ on caps. Without it the exact maximum remains unknown.

Formalizing it adds a machine-checked proof that makes no classical area assumption: the Green-type curve-area identity and the Minkowski-type mixed-area facts quoted by the paper are proved, the paper's 11 proof gaps and 33 misprints are repaired, and the numerical certificate is kernel-checked. The hallway, motion, cap, convex-body, and surface-measure infrastructure is reusable for related isoperimetric and kinematic formalizations. Status honesty: the underlying paper proof is complete and has been formalized in the source repository; on this platform the three statements above are open targets awaiting proofs, and the uniqueness of the maximizer up to rigid motion remains open and is not part of this mission.

Difficulty

The obvious argument bounds the area of an arbitrary sofa by the area of a circumscribed cap, but caps need not satisfy the injectivity condition that makes the functional QQQ an upper bound, and QQQ need not be concave on the full space of caps. Maximizing sequences of polygons need not converge to a sofa, and limits need not be connected or attain the supremum. The naive idea of taking a supremum over all connected closed sets and extracting a convergent subsequence fails until compactness of motions, closedness of the moving-sofa predicate, and a balanced maximum with rotation angle π/2\pi/2π/2 are established. Each step fails for general sets and only holds after the polygon approximation and monotonization constructions.

Formalization scope

Lean represents the plane as EuclideanSpace ℝ (Fin 2) with its standard orientation, hallway sides as explicit sets, motions as I → E(2) where E(2) is ℝ² ≃ᵃⁱ[ℝ] ℝ² with the topology induced from continuous maps, and area as MeasureSpace.volume. The supremum is in ℝ≥0∞. Statements target the c5ea003 (Lean v4.30.0) environment, an older supported revision against which the development was verified locally. The spec uses non-strict inequalities, which makes uniqueness stronger than the strict-inequality literature form. The functions rrr, xxx, yyy, ppp take the constants as explicit arguments rather than reading global chosen constants, so the definition bundle stays independent of the existence proof; given uniqueness this implies the source statements. Boundedness and measurability are not assumed; every moving sofa is proved compact in the source development. A submission that drops closedness or connectedness, that allows a discontinuous motion, or that hard-codes the numerical value 2.21952.21952.2195 instead of proving equality with the volume of the defined shape, does not satisfy the statements. Contributions welcome: direct proofs of the three targets, sharper enclosures of the volume, and reusable hallway and motion lemmas. Out of scope: uniqueness up to congruence, the 11/511/511/5 certificate details beyond the stated lower bound, and the 20 unformalized numbered environments listed in the source NOTES.md that none of the three targets depends on.

Selected references

  • Jineon Baek, Optimality of Gerver's Sofa, arXiv:2411.19826, 2024. https://arxiv.org/abs/2411.19826
  • Joseph L. Gerver, On moving a sofa around a corner, Geometriae Dedicata 42 (1992), 267-283.
  • Dan Romik, Differential equations and exact solutions in the moving sofa problem, Experimental Mathematics 27 (2018), 316-330. https://arxiv.org/abs/1606.08111
  • Dean Cureton et al., MovingSofa: Autoformalization of Baek's solution, 2026. https://github.com/deancureton/MovingSofa
  • Google DeepMind, formal-conjectures, FormalConjectures/Wikipedia/MovingSofa.lean at ddfbaf90. https://github.com/google-deepmind/formal-conjectures
  • Dawid Trela, GerverSofaLean v1.1.0. https://github.com/dawidmtrela-dotcom/GerverSofaLean
45 thms1 active userReviewed
Algebraic GeometryNumber Theory·Captain: Lucas

Lam–Litt conjecture: algebraicity and integrality of solutions to algebraic ODEsOpen Problem

Motivation

A classical way to recognize an algebraic function is through the arithmetic of its Taylor coefficients. Eisenstein's theorem (1852) says that if a power series f∈Q[[z]]f\in\mathbb{Q}[[z]]f∈Q[[z]] is algebraic over Q[z]\mathbb{Q}[z]Q[z], only finitely many primes occur in the denominators of its coefficients. The converse fails in general: many transcendental power series have integer coefficients. Lam and Litt (arXiv:2501.13175) conjecture that the converse does hold for power series that solve an algebraic differential equation at a non-singular point, and that even a weak control on denominators — primes ppp may appear, but only after roughly ω(p)≫p\omega(p)\gg pω(p)≫p coefficients — already forces algebraicity.

For linear differential equations, the conjecture is a strengthening of the Grothendieck–Katz ppp-curvature conjecture, one of the central open problems about algebraic solutions of linear differential equations (arXiv:2501.13175). The bounded-denominator form is Problem 1 on Litt's list of open problems (problemsilike.com/1).

Timeline.

  • 1852 — Eisenstein: algebraic power series over Q\mathbb{Q}Q have bounded denominators (implication (1)⇒(2) below).
  • 1970s — Grothendieck and Katz: the ppp-curvature conjecture for linear differential equations.
  • 2025 — Lam and Litt formulate the conjecture for (possibly non-linear) algebraic differential equations and prove it for many equations and initial conditions of algebro-geometric interest, including Picard–Fuchs equations at initial conditions corresponding to cycle classes, and isomonodromy equations such as Painlevé VI and the Schlesinger system at initial conditions corresponding to Picard–Fuchs equations (arXiv:2501.13175).

Setting

Let f=∑k≥0akzk∈Q[[z]]f=\sum_{k\ge0}a_kz^k\in\mathbb{Q}[[z]]f=∑k≥0​ak​zk∈Q[[z]] be a formal power series with rational coefficients and write f(i)f^{(i)}f(i) for its iii-th formal derivative. Let g∈Q(z,y0,…,yn−1)g\in\mathbb{Q}(z,y_0,\dots,y_{n-1})g∈Q(z,y0​,…,yn−1​) be a rational function in n+1n+1n+1 variables. The series fff solves the algebraic ODE defined by ggg if

f(n)(z)=g(z,f(z),f′(z),…,f(n−1)(z))f^{(n)}(z)=g\bigl(z,f(z),f'(z),\dots,f^{(n-1)}(z)\bigr)f(n)(z)=g(z,f(z),f′(z),…,f(n−1)(z))

and ggg is defined at (0,f(0),…,f(n−1)(0))\bigl(0,f(0),\dots,f^{(n-1)}(0)\bigr)(0,f(0),…,f(n−1)(0)). Concretely, g=p/qg=p/qg=p/q for polynomials p,qp,qp,q with q(0,f(0),…,f(n−1)(0))≠0q\bigl(0,f(0),\dots,f^{(n-1)}(0)\bigr)\neq0q(0,f(0),…,f(n−1)(0))=0 and f(n)⋅q(z,f,…,f(n−1))=p(z,f,…,f(n−1))f^{(n)}\cdot q(z,f,\dots,f^{(n-1)})=p(z,f,\dots,f^{(n-1)})f(n)⋅q(z,f,…,f(n−1))=p(z,f,…,f(n−1)).

For N∈NN\in\mathbb{N}N∈N, Z[1/N]⊆Q\mathbb{Z}[1/N]\subseteq\mathbb{Q}Z[1/N]⊆Q is the subring generated by 1/N1/N1/N. For a function ω\omegaω from the primes to Z\mathbb{Z}Z, the coefficients of fff are ω\omegaω-integral if for every prime ppp the numbers a0,…,aω(p)a_0,\dots,a_{\omega(p)}a0​,…,aω(p)​ lie in Z(p)\mathbb{Z}_{(p)}Z(p)​ (denominators prime to ppp); ω\omegaω is superlinear if ω(p)/p→∞\omega(p)/p\to\inftyω(p)/p→∞.

Formalization targets

Goal: the Lam–Litt conjecture

For fff solving an algebraic ODE as above, the following are equivalent:

(1) f is algebraic over Q[z];(2) ∃N, ∀k, ak∈Z[1/N];(3) ∃ ω superlinear with (ak) ω-integral.\text{(1) } f \text{ is algebraic over } \mathbb{Q}[z];\qquad \text{(2) } \exists N,\ \forall k,\ a_k\in\mathbb{Z}[1/N];\qquad \text{(3) } \exists\,\omega \text{ superlinear with } (a_k) \ \omega\text{-integral}.(1) f is algebraic over Q[z];(2) ∃N, ∀k, ak​∈Z[1/N];(3) ∃ω superlinear with (ak​) ω-integral.

Milestones

  • (1)⇒(2), Eisenstein's theorem (no ODE hypothesis needed).
  • (2)⇒(3), elementary (no ODE hypothesis needed).
  • (3)⇒(2), open.
  • (2)⇒(1), open; Litt's Problem 1.

Together the four milestones imply the goal; the last two are the open content of the conjecture.

Significance

A proof would give an arithmetic criterion for algebraicity of solutions of arbitrary algebraic differential equations, and, for linear equations, would imply the Grothendieck–Katz ppp-curvature conjecture (arXiv:2501.13175). Lam and Litt draw algebro-geometric consequences from the cases they prove.

For formalization: the conjecture is open, so the goal and the two open milestones are research targets. Eisenstein's theorem is a classical result; formalizing it is concrete, self-contained work. The implication (2)⇒(3) is elementary. The cases proved by Lam and Litt are candidates for further milestones.

Difficulty

Integrality of coefficients alone does not detect algebraicity: there are transcendental power series with integer coefficients that satisfy linear differential equations, such as ∑k(2kk)2zk\sum_k\binom{2k}{k}^2z^k∑k​(k2k​)2zk. Its equation is singular at z=0z=0z=0, which the non-singularity hypothesis on ggg excludes; the conjecture asserts that at non-singular points such examples cannot occur. Even for linear equations the statement contains the Grothendieck–Katz conjecture, which is open in general.

Formalization scope

  • Power series are PowerSeries ℚ with the formal derivative; rational functions are the fraction field of MvPolynomial (Fin (n + 1)) ℚ, where variable 0 is zzz and variable i + 1 is f(i)f^{(i)}f(i).
  • The ODE hypothesis is existential: some representation g=p/qg=p/qg=p/q with qqq nonzero at the initial point and f(n)q(… )=p(… )f^{(n)}q(\dots)=p(\dots)f(n)q(…)=p(…) as power series. This non-singularity requirement is essential and must not be dropped.
  • Algebraicity is IsAlgebraic (Polynomial ℚ) f, i.e. over Q[z]\mathbb{Q}[z]Q[z] (equivalently over Q(z)\mathbb{Q}(z)Q(z)).
  • Z[1/N]\mathbb{Z}[1/N]Z[1/N] is the subalgebra of Q\mathbb{Q}Q generated by 1/N1/N1/N; since 1/0=01/0=01/0=0 in Lean, N=0N=0N=0 gives Z\mathbb{Z}Z.
  • ω\omegaω takes values in Z\mathbb{Z}Z; negative values impose no condition at that prime. Superlinearity is the limit ω(p)/p→∞\omega(p)/p\to\inftyω(p)/p→∞ along the primes.
  • The goal is a List.TFAE of the three conditions.

Useful infrastructure: formal derivatives and substitution for power series, algebraic power series and their coefficient arithmetic (Eisenstein), and ppp-adic valuations of coefficients. Formalizations of Eisenstein's theorem and of the special cases proved by Lam and Litt are welcome.

Selected references

  • Y. H. J. Lam, D. Litt, Algebraicity and integrality of solutions to differential equations, arXiv preprint, 2025. https://arxiv.org/abs/2501.13175
  • D. Litt, Problem 1, problems list. https://www.problemsilike.com/1
  • G. Eisenstein, Über eine allgemeine Eigenschaft der Reihen-Entwicklungen aller algebraischen Funktionen, Bericht der Königl. Preuss. Akademie der Wissenschaften zu Berlin, 1852.
  • Formal Conjectures project, FormalConjectures/LittProblems/1.lean. https://github.com/google-deepmind/formal-conjectures
6 thms2 active usersReviewed
Graph Theory·Captain: Lucas

Hadwiger's ConjectureOpen Problem

Motivation

Hadwiger's conjecture (1943) asserts that for every integer t≥0t\ge 0t≥0, every graph with no Kt+1K_{t+1}Kt+1​ minor is ttt-colourable. It is a far-reaching strengthening of the four-colour theorem, and it is widely described as one of the central open problems of graph theory (Bollobás, Catlin and Erdős called it "one of the deepest unsolved problems in graph theory"). The interest is structural: the four-colour theorem concerns planar graphs, and Hadwiger's conjecture proposes that the only obstruction to ttt-colourability that matters is the presence of a complete graph Kt+1K_{t+1}Kt+1​ as a minor.

Timeline.

  • 1937 — Wagner shows that the case t=4t=4t=4 is equivalent to the four-colour theorem, via a clique-sum decomposition of graphs with no K5K_5K5​ minor.
  • 1943 — Hadwiger poses the conjecture and proves it for t≤3t\le 3t≤3 (graphs with no K4K_4K4​ minor have a vertex of degree at most two).
  • 1964 — Wagner proves that graphs with no Kt+1K_{t+1}Kt+1​ minor are 2t2^t2t-colourable.
  • 1967 — Mader proves that excluding any fixed minor forces a linear number of edges, and determines the exact extremal function for KtK_tKt​ minors when t≤7t\le 7t≤7.
  • 1976 — Appel and Haken prove the four-colour theorem, hence the case t=4t=4t=4.
  • 1982 — Duchet and Meyniel prove that every nnn-vertex graph has a KtK_tKt​ minor with t≥n/(2α(G)−1)t\ge n/(2\alpha(G)-1)t≥n/(2α(G)−1).
  • 1984 — Kostochka and Thomason independently show that graphs with no KtK_tKt​ minor have average degree O(tlog⁡t)O(t\sqrt{\log t})O(tlogt​), hence are O(tlog⁡t)O(t\sqrt{\log t})O(tlogt​)-colourable.
  • 1993 — Robertson, Seymour and Thomas prove the case t=5t=5t=5 (using the four-colour theorem).
  • 2023–2024 — Norin, Postle and Song, then Delcourt and Postle, improve the general bound to O(tlog⁡log⁡t)O(t\log\log t)O(tloglogt) colours.
  • (Date not recorded in the survey) Albar and Gonçalves prove that graphs with no K7K_7K7​ minor are 888-colourable and graphs with no K8K_8K8​ minor are 101010-colourable.

The case t=6t=6t=6 (graphs with no K7K_7K7​ minor are 666-colourable) is the first open case.

Setting

All graphs are finite and simple. A minor of a graph GGG is any graph obtained from a subgraph of GGG by contracting edges. Equivalently, a graph HHH on vertex set WWW is a minor of GGG if there are branch sets Bw⊆V(G)B_w\subseteq V(G)Bw​⊆V(G), w∈Ww\in Ww∈W, which are pairwise disjoint, each inducing a connected (nonempty) subgraph of GGG, and such that for every edge w1w2w_1w_2w1​w2​ of HHH some vertex of Bw1B_{w_1}Bw1​​ is adjacent to some vertex of Bw2B_{w_2}Bw2​​. GGG has a KtK_tKt​ minor if the complete graph KtK_tKt​ is a minor of GGG, i.e. GGG contains ttt pairwise disjoint connected vertex sets, every two joined by an edge.

A graph is ttt-colourable if its vertices can be coloured with ttt colours so that adjacent vertices receive different colours; χ(G)\chi(G)χ(G) is the least such ttt. Write HC(t)\mathrm{HC}(t)HC(t) for the statement "every graph with no Kt+1K_{t+1}Kt+1​ minor is ttt-colourable". A graph is kkk-degenerate if every nonempty set of vertices contains a vertex with at most kkk neighbours inside the set. The stability number α(G)\alpha(G)α(G) is the largest size of a set of pairwise non-adjacent vertices.

Formalization targets

Goal

∀t≥0:Kt+1⪯̸G ⟹ χ(G)≤tfor every finite graph G.\forall t\ge 0:\qquad K_{t+1}\not\preceq G\ \Longrightarrow\ \chi(G)\le t\qquad\text{for every finite graph } G.∀t≥0:Kt+1​⪯G ⟹ χ(G)≤tfor every finite graph G.

Proved special cases

HC(t) for t≤3,HC(4),HC(5).\mathrm{HC}(t)\ \text{for } t\le 3,\qquad \mathrm{HC}(4),\qquad \mathrm{HC}(5).HC(t) for t≤3,HC(4),HC(5).

Weaker colouring bounds

  • no Kt+1K_{t+1}Kt+1​ minor ⇒\Rightarrow⇒ χ(G)≤2t\chi(G)\le 2^tχ(G)≤2t (Wagner);
  • no KtK_tKt​ minor ⇒\Rightarrow⇒ χ(G)=O(tlog⁡t)\chi(G)=O(t\sqrt{\log t})χ(G)=O(tlogt​) (Kostochka, Thomason) and χ(G)=O(tlog⁡log⁡t)\chi(G)=O(t\log\log t)χ(G)=O(tloglogt) (Delcourt–Postle);
  • no K7K_7K7​ minor ⇒\Rightarrow⇒ χ≤8\chi\le 8χ≤8; no K8K_8K8​ minor ⇒\Rightarrow⇒ χ≤10\chi\le 10χ≤10 (Albar–Gonçalves).

Supporting extremal and structural results

  • non-null graphs with no K4K_4K4​ minor have a vertex of degree ≤2\le 2≤2;
  • kkk-degenerate graphs are (k+1)(k+1)(k+1)-colourable;
  • for every HHH there is ccc with ∣E(G)∣≤c∣V(G)∣|E(G)|\le c|V(G)|∣E(G)∣≤c∣V(G)∣ whenever H⪯̸GH\not\preceq GH⪯G (Mader);
  • the exact edge bounds n−1n-1n−1, 2n−32n-32n−3, 3n−63n-63n−6 for no K3K_3K3​, K4K_4K4​, K5K_5K5​ minor, and (t−2)n−(t−12)(t-2)n-\binom{t-1}{2}(t−2)n−(2t−1​) for no KtK_tKt​ minor, t≤7t\le 7t≤7 (Mader);
  • every nnn-vertex graph has a KtK_tKt​ minor with t≥n/(2α(G)−1)t\ge n/(2\alpha(G)-1)t≥n/(2α(G)−1) (Duchet–Meyniel);
  • a graph with no Kt+1K_{t+1}Kt+1​ minor has a ttt-colourable induced subgraph on at least half of its vertices.

Significance

A proof of the conjecture would give a structural explanation of the four-colour theorem that does not depend on planarity, and would settle the chromatic number of every minor-closed class defined by excluding a single complete graph. Partial results already drive the theory of graph minors: bounds on the average degree of KtK_tKt​-minor-free graphs are the standard input to colouring, and linear Hadwiger-type bounds are used in structural and algorithmic graph theory.

On the formal side, only the smallest cases have Lean proofs: the platform already contains proofs of the cases t≤2t\le 2t≤2 under a different encoding of minors (namespace Hadwiger), which may be reused after bridging the definitions. The cases t≤3t\le 3t≤3, Wagner's 2t2^t2t bound, the degeneracy lemma, the small extremal bounds and the Duchet–Meyniel theorem have elementary proofs and are realistic targets. The cases t=4,5t=4,5t=4,5 depend on the four-colour theorem, whose formal proof exists in Coq but not in Lean; formalizing them here requires either porting that proof or proving the reduction to it. The general conjecture is open.

Difficulty

The natural approach — contracting the colour classes of an optimal colouring — does not produce a minor, because colour classes are independent sets and contraction is only allowed along edges. Degeneracy arguments only give bounds of order tlog⁡tt\sqrt{\log t}tlogt​, since dense random graphs with no large clique minor have average degree of that order; closing the gap to ttt requires using large chromatic number itself, not just density. Already for t=4t=4t=4 the statement is equivalent to the four-colour theorem, so no short proof is expected for any t≥4t\ge 4t≥4.

Formalization scope

Graphs are SimpleGraph V on a finite vertex type V : Type. Minors are encoded by branch sets (IsMinor), complete minors by HasCompleteMinor G t (the complete graph on Fin t is a minor of G), colourability by Mathlib's SimpleGraph.Colorable, and edge counts by the cardinality of the edge set. HC(t)\mathrm{HC}(t)HC(t) is the definition HC t. Logarithms are natural logarithms; asymptotic bounds are stated with an explicit existential constant and a ceiling. The case t=0t=0t=0 is included; HasCompleteMinor G 0 holds for every graph, so no statement becomes vacuous through a degenerate minor definition.

Useful reusable infrastructure: minor models and their composition, contraction of connected sets, greedy colouring of degenerate graphs, and edge-counting for minor-free graphs. Contributions of intermediate lemmas along the milestones are welcome.

Selected references

  • P. Seymour, Hadwiger's conjecture, in: Open Problems in Mathematics, Springer, 2016 (survey; source of the milestone numbering).
  • Wikipedia, Hadwiger conjecture (graph theory). https://en.wikipedia.org/wiki/Hadwiger_conjecture_(graph_theory)
  • H. Hadwiger, Über eine Klassifikation der Streckenkomplexe, Vierteljschr. Naturforsch. Ges. Zürich 88 (1943).
  • K. Wagner, Über eine Eigenschaft der ebenen Komplexe, Math. Ann. 114 (1937).
  • N. Robertson, P. Seymour, R. Thomas, Hadwiger's conjecture for K6K_6K6​-free graphs, Combinatorica 13 (1993).
  • A. Kostochka, Lower bound of the Hadwiger number of graphs by their average degree, Combinatorica 4 (1984).
  • A. Thomason, An extremal function for contractions of graphs, Math. Proc. Cambridge Philos. Soc. 95 (1984).
  • M. Delcourt, L. Postle, Reducing linear Hadwiger's conjecture to coloring small graphs (2024).
16 thms2 active usersReviewed
Functional Analysis·Captain: savarin

Does the sharp diagonal Hlawka constant work for all complex matrices when p ≥ 256?Open Problem

The 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. The question is how large a comparison constant is needed to make this inequality hold.

Does the sharp diagonal constant work for general matrices?

For every real p≥256p\ge256p≥256, the optimal Hlawka constant for complex diagonal matrices is already proved in Lean. This mission asks whether that same constant works for all complex matrices, including rectangular ones. The statement is a conjecture. Accepted diagonal result

Audenaert and Kittaneh's Problem 7 asks for the best constant in the Schatten-norm setting, if one exists. Existence of some finite dimension-independent constant for every real p>1p>1p>1 is already settled by the project's Lean theorem. The task here is to establish the specified sharp candidate in the range p≥256p\ge256p≥256. Audenaert–Kittaneh, §8.2, proved existence result

Definitions and the goal

For a complex matrix AAA with singular values si(A)s_i(A)si​(A), its Schatten norm is

Np(A)=(∑isi(A)p)1/p.N_p(A)=\left(\sum_i s_i(A)^p\right)^{1/p}.Np​(A)=(i∑​si​(A)p)1/p.

There is no normalization by dimension. For three matrices of the same shape, define

Δ3=Np(A)+Np(B)+Np(C)−Np(A+B+C),\Delta_3=N_p(A)+N_p(B)+N_p(C)-N_p(A+B+C),Δ3​=Np​(A)+Np​(B)+Np​(C)−Np​(A+B+C), Δ2=2(Np(A)+Np(B)+Np(C))−Np(A+B)−Np(A+C)−Np(B+C).\Delta_2=2\bigl(N_p(A)+N_p(B)+N_p(C)\bigr) -N_p(A+B)-N_p(A+C)-N_p(B+C).Δ2​=2(Np​(A)+Np​(B)+Np​(C))−Np​(A+B)−Np​(A+C)−Np​(B+C).

Formal Schatten-norm definition

The shared cyclic candidate is

Kp=sup⁡t∈[1/2,2]3(tp+2)1/p−31/p∣2−t∣6(tp+2)1/p−3(2∣1−t∣p+2p)1/p.K_p=\sup_{t\in[1/2,2]} \frac{3(t^p+2)^{1/p}-3^{1/p}|2-t|} {6(t^p+2)^{1/p}-3(2|1-t|^p+2^p)^{1/p}}.Kp​=t∈[1/2,2]sup​6(tp+2)1/p−3(2∣1−t∣p+2p)1/p3(tp+2)1/p−31/p∣2−t∣​.

The fraction is the deficit ratio for the coordinate triple (−t,1,1),(1,−t,1),(1,1,−t)(-t,1,1),(1,-t,1),(1,1,-t)(−t,1,1),(1,−t,1),(1,1,−t). For p>1p>1p>1, its denominator is positive on the displayed interval and the supremum is attained. Cyclic definitions and attainment

The goal asks whether Δ3≤KpΔ2\Delta_3\le K_p\Delta_2Δ3​≤Kp​Δ2​ for every real p≥256p\ge256p≥256 and every triple of complex matrices of every finite shape. One constant for each exponent must work across all dimensions and triples. The endpoint 256, noninteger exponents, zero dimensions, singular and zero matrices, unequal norms and zero pair deficit are included.

Lean states the goal for complex-linear maps between any two finite-dimensional complex inner-product spaces, allowing different dimensions. No positivity, self-adjointness, commutativity or common diagonalization assumption is imposed.

Why the diagonal proof does not settle this

The singular values determine a matrix's own norm. However, the separate singular-value lists of three matrices do not determine the norms of their pair sums and total sum. The diagonal theorem therefore does not supply the seven matrix norms needed in this inequality. Their relative directions matter as well.

The existing existence theorem supplies a constant, but does not identify it with KpK_pKp​. A proof here needs the exact cyclic constant. A proof only for even integer exponents or a restricted class of matrices would not settle this goal.

What a resolution would establish

If the conjectured bound holds, it is automatically optimal uniformly over all finite matrix shapes: diagonal three-dimensional examples already require at least KpK_pKp​. Thus the missing step is that this constant works for arbitrary matrices. A counterexample would show that the diagonal constant is insufficient somewhere in the stated range. Cyclic lower bound, diagonal Schatten identity

Either outcome addresses this range of exponents; it would not settle the optimal general-matrix constant for every 1<p<2561<p<2561<p<256.

The foundation mission establishes the optimal diagonal constant for every real p≥256p\ge256p≥256. The cutoff-90 mission has since extended the diagonal result in Lean to every real p≥90p\ge90p≥90. The diagonal campaign invites contributors to lower that cutoff below 90.

This mission keeps p≥256p\ge256p≥256 and asks whether the same optimal constant works for arbitrary complex matrices, including rectangular ones. It can be pursued independently of improvements to the diagonal cutoff.

Its three linked milestones are already-proved background: existence, the sharp diagonal result, and the diagonal norm identity. The main general-matrix goal remains open. No complete proof is supplied for it.

References

  • K. M. R. Audenaert and F. Kittaneh, Problems and Conjectures in Matrix and Operator Inequalities, 2012, §8.2, Problem 7. arXiv:1201.5232
  • Ezzeri Esa and contributors, Hlawka–Schatten inequalities, Lean source repository, revision 79aa498bfcf7b22bd91d771fb32ec278e2d4704b. Existence and diagonal libraries

Established results on Prove2Me

  • The accepted sharp diagonal bound for every real p ≥ 256.
  • The accepted diagonal Schatten norm identity.
  • The public existence theorem for every real p > 1.
96 thms1 active userReviewed
Dynamical SystemsPartial Differential Equations·Captain: shivm

Catalytic Reaction–Diffusion: Global Attraction of the Positive Equilibrium (AIM 416)Open Problem

Motivation

Nguyen and Tang study the irreversible catalytic network A+B→B+C\mathcal A+\mathcal B\to\mathcal B+\mathcal CA+B→B+C, B+C→A+B\mathcal B+\mathcal C\to\mathcal A+\mathcal BB+C→A+B, a simple reaction–diffusion system with both a positive and a boundary equilibrium (catalyst used up). They settle every mass regime but one and leave it as a conjecture (AIM problem 416).

Timeline. 2021: Fellner–Morgan–Tang give global classical solutions with uniform bounds. 2026: Nguyen–Tang prove convergence for M1<M2M_1<M_2M1​<M2​ and M1≥2M2M_1\ge2M_2M1​≥2M2​ and local results in between, conjecturing global attraction there.

Setting

On a bounded connected smooth domain Ω⊂Rn\Omega\subset\mathbb R^nΩ⊂Rn with ∣Ω∣=1|\Omega|=1∣Ω∣=1 and d1,d2,d3>0d_1,d_2,d_3>0d1​,d2​,d3​>0:

at−d1Δa=b(c−a),bt−d2Δb=b(c−a),ct−d3Δc=−b(c−a),a_t-d_1\Delta a=b(c-a),\quad b_t-d_2\Delta b=b(c-a),\quad c_t-d_3\Delta c=-b(c-a),at​−d1​Δa=b(c−a),bt​−d2​Δb=b(c−a),ct​−d3​Δc=−b(c−a),

with homogeneous Neumann conditions and strictly positive C2C^2C2 compatible initial data. The masses M1=∫Ω(a0+c0)M_1=\int_\Omega(a_0+c_0)M1​=∫Ω​(a0​+c0​), M2=∫Ω(b0+c0)M_2=\int_\Omega(b_0+c_0)M2​=∫Ω​(b0​+c0​) are conserved. The equilibria are the positive one (M12, M2−M12, M12)(\frac{M_1}2,\,M_2-\frac{M_1}2,\,\frac{M_1}2)(2M1​​,M2​−2M1​​,2M1​​) and the boundary one (M1−M2, 0, M2)(M_1-M_2,\,0,\,M_2)(M1​−M2​,0,M2​).

Formalization target

If M2≤M1<2M2M_2\le M_1<2M_2M2​≤M1​<2M2​, every classical solution converges uniformly on Ω\OmegaΩ to the positive equilibrium (no rate required).

Significance

This is the last open regime of Nguyen–Tang's stability analysis. Strict positivity is essential: with b0≡0b_0\equiv0b0​≡0 the solution stays away from the positive equilibrium.

Difficulty

For M1≥M2M_1\ge M_2M1​≥M2​ there is no positive lower bound on ∫Ωb\int_\Omega b∫Ω​b, so entropy dissipation can degenerate near the boundary equilibrium (b=0b=0b=0), and the local results do not exclude trajectories approaching it.

Formalization scope

Rn\mathbb R^nRn is EuclideanSpace ℝ (Fin n) and Δ\DeltaΔ is Mathlib's Laplacian. The domain is Ω={φ<0}\Omega=\{\varphi<0\}Ω={φ<0} for a C∞C^\inftyC∞ function φ\varphiφ with ∇φ≠0\nabla\varphi\ne0∇φ=0 on {φ=0}\{\varphi=0\}{φ=0}; the Neumann condition is the derivative within Ω‾\overline\OmegaΩ in the direction ∇φ\nabla\varphi∇φ. Solutions are continuous on [0,∞)×Ω‾[0,\infty)\times\overline\Omega[0,∞)×Ω and C1,2C^{1,2}C1,2 for t>0t>0t>0, and L∞L^\inftyL∞ convergence is TendstoUniformlyOn. The goal quantifies over classical solutions; their existence is proved in the literature (Fellner–Morgan–Tang; Nguyen–Tang, Theorem 2.1) but is not part of this statement.

Selected references

  • T. L. Nguyen, B. Q. Tang, Stability analysis of irreversible chemical reaction-diffusion systems with boundary equilibria, Z. Angew. Math. Phys. 77, 2026, 199. DOI
  • K. Fellner, J. Morgan, B. Q. Tang, Uniform-in-time bounds for quadratic reaction-diffusion systems with mass dissipation in higher dimensions, DCDS-S 14, 2021, 635–651. DOI
  • AIM open problems list, problem 416. github.com/MColbrook/AIM
5 thms1 active userReviewed
Complexity TheoryTheoretical Computer Science·Captain: hao jia

Weighted Falsifiability of Unambiguous DNFsOpen Problem

Motivation

A disjunctive normal form (DNF) is a disjunction of terms, each term a conjunction of Boolean literals. An unambiguous DNF has pairwise disjoint terms: no Boolean assignment satisfies two different terms. This restriction makes several tasks easy. In particular, the cited open-problem entry records polynomial-time algorithms for weighted satisfiability on unambiguous DNFs and for unweighted falsifiability. The unresolved boundary is weighted falsifiability: can one find a high-weight assignment outside the union of the terms, without enumerating all assignments?

This question is relevant to the complexity of negating compact representations of Boolean functions. Amarilli's entry observes that, since unambiguous DNFs are d-DNNFs, a polynomial-time negation procedure for d-DNNFs would yield a polynomial-time solution to weighted falsifiability on unambiguous DNFs by applying weighted satisfiability to the negated representation. Conversely, if weighted falsifiability for unambiguous DNFs—or even for d-DNNFs—is NP-hard, then, unless P=NP\mathrm{P}=\mathrm{NP}P=NP, d-DNNFs cannot be negated in polynomial time. These are implications stated by the source, not results established by this mission.

Historical note

The question appears on Albertine Amarilli's open-problem list. The entry cites a Theoretical Computer Science Stack Exchange question by Mikaël Monet and credits him with helping prepare the entry. It records two partial tractability results: weighted satisfiability with binary weights, and weighted falsifiability when the variable weights are unary. The entry gives no date for when the problem was posed or last seen open, so this description does not assign one. The linked discussion is useful context, not a novelty or resolution certificate.

Setting

Let X={x0,…,xn−1}X=\{x_0,\ldots,x_{n-1}\}X={x0​,…,xn−1​} be exactly the variables occurring in the DNF. The formal input declares this finite universe by its size nnn; validity requires every declared variable to occur in at least one literal. An input DNF is a finite list of terms, and each term is a finite list of signed variable indices. An assignment is a function ν:X→{0,1}\nu:X\to\{0,1\}ν:X→{0,1}. A positive literal xix_ixi​ is true when ν(xi)=1\nu(x_i)=1ν(xi​)=1; a negative literal ¬xi\neg x_i¬xi​ is true when ν(xi)=0\nu(x_i)=0ν(xi​)=0. A term is true when all its literals are true, and the DNF is true when at least one term is true. Thus the empty DNF is false and an empty term is true.

The input also contains one positive integer weight cic_ici​ for each variable and a positive threshold ttt. The weight of an assignment is

w(ν)=∑i=0n−1ciν(xi).w(\nu)=\sum_{i=0}^{n-1} c_i\nu(x_i).w(ν)=i=0∑n−1​ci​ν(xi​).

The DNF is valid for this problem when every literal index is below nnn and every pair of distinct terms is mutually unsatisfiable. The decision question is whether there exists an assignment that falsifies the DNF and has weight at least ttt.

Formalization targets

Partial result — weighted satisfiability

For valid unambiguous DNF inputs with positive binary-encoded weights and threshold, the decision problem asking whether a satisfying assignment has weight at least ttt has a deterministic polynomial-time algorithm. This is the weighted-satisfiability baseline recorded in the source entry. It is a separate result from the goal below.

Partial result — unary-weight falsifiability

For the same valid DNF model, when each variable weight is encoded in unary, weighted falsifiability has a deterministic polynomial-time algorithm. The threshold remains binary-encoded in this formalization. The source entry records this unary-weight restriction as tractable.

Goal — binary-weight falsifiability

For arbitrary positive binary-encoded variable weights and a positive binary-encoded threshold, determine whether one fixed deterministic Turing machine and one polynomial time bound decide weighted falsifiability for every valid input. The machine must be correct on all valid instances; its running-time bound is uniform and measured in the length of the explicit input code. No witness output is required.

The two partial results are reference points, not assumptions from which the goal is claimed to follow. The goal is the open binary-weight case; it must not be replaced by the satisfiability problem or by the unary-weight restriction.

Dependency graph

Input, semantics, validity, and serialization definitions
├── binary-weight weighted satisfiability (source baseline)
├── unary-weight weighted falsifiability (source baseline)
└── binary-weight weighted falsifiability (open goal)

Each branch shares the same finite DNF model and correctness predicates. The arrows indicate required definitions and scope, not a claim that either partial theorem implies the open goal.

Significance

A positive result would give a uniform algorithm for finding whether a disjoint union of Boolean subcubes omits any sufficiently heavy point, even when weights are represented compactly in binary. A negative complexity result would identify a sharp obstruction to efficient complement-related operations on these representations. The exact-weight version (asking for weight exactly ttt) is a different problem and is outside this mission's scope; the goal here is specifically weight at least ttt.

Formalizing the question fixes the universe of variables, signed-literal semantics, unambiguity condition, threshold direction, input encoding, and computational model. It also makes the unary and satisfiability baselines comparable to the binary-weight goal without treating a finite search or a candidate implementation as a complexity proof. No solution is supplied or presumed here.

Difficulty

The direct search over all 2n2^n2n assignments is exponential in nnn. Counting satisfying assignments is enough to settle ordinary falsifiability, but a weighted threshold partitions assignments by exponentially many possible total weights when the weights are binary. The unary dynamic program therefore does not by itself give a polynomial bound in the binary input length. Conversely, solving weighted satisfiability on the DNF does not answer whether a heavy assignment lies outside it. The task is to settle that gap without silently replacing binary magnitude by unary size.

Formalization scope

The Lean model uses Input, an explicit variable count, a list of signed-index terms, a weight list, and a threshold. validInput requires exactly one positive weight per variable, positive weights and threshold, in-range literal indices, that every declared variable occurs in the formula, and pairwise unsatisfiable distinct terms. The finite assignment type is Fin n → Bool; unused variables remain part of the input. The decision predicate is existential and exact.

The binary code includes the variable count, every list count and delimiter, all signed indices, all weights, and the threshold. Natural-number payloads use canonical binary digits with an explicit unary length prefix. The unary-weight code changes only the variable-weight payloads to unary; formula data and threshold remain binary. The complexity statements use Mathlib's bundled deterministic Turing.TM2ComputableInPolyTime model, with a single machine and polynomial bound in the chosen code length. This formalization does not claim refinement to JSON, CPython, or any runtime implementation. Human review should check the encoding/decoder round-trip and the source correspondence before launch.

The reusable definitions are the finite DNF semantics, weighted assignment score, validity predicate, binary/unary encoders, and exact decision predicates. Formalizing the two cited partial results is part of the mission's milestone path; neither is evidence that the binary-weight goal is solved.

Selected references

  • Albertine Amarilli, “Weighted falsifiability for unambiguous DNFs,” List of open questions in theoretical computer science, https://a3nm.net/work/research/questions/#weighted-falsifiability-for-unambiguous-dnfs.
  • Mikaël Monet, “Is this problem on unambiguous DNFs hard?”, Theoretical Computer Science Stack Exchange, https://cstheory.stackexchange.com/questions/53733/is-this-problem-on-unambiguous-dnfs-hard.
4 thms1 active userReviewed
Previous

Get started

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

About Prove2Me

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

How Prove2Me worksResearch paper
SKILL.mdTourFAQContactTerms
© 2026 Prove2Me