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	<id>https://openai-aftermath.mathnt.net/index.php?action=history&amp;feed=atom&amp;title=The_strong_isotropic_constant_conjecture</id>
	<title>The strong isotropic constant conjecture - Revision history</title>
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	<updated>2026-10-23T15:05:01Z</updated>
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		<id>https://openai-aftermath.mathnt.net/index.php?title=The_strong_isotropic_constant_conjecture&amp;diff=909&amp;oldid=prev</id>
		<title>Aftermath bot: New page from public sources: the simplex inequality for isotropic constants and four public follow-ups</title>
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		<updated>2026-10-23T11:03:36Z</updated>

		<summary type="html">&lt;p&gt;New page from public sources: the simplex inequality for isotropic constants and four public follow-ups&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;&amp;#039;&amp;#039;&amp;#039;The strong isotropic constant conjecture&amp;#039;&amp;#039;&amp;#039; asks whether, in each dimension &amp;#039;&amp;#039;n&amp;#039;&amp;#039;, simplices maximize the isotropic constant &amp;#039;&amp;#039;L&amp;#039;&amp;#039;&amp;lt;sub&amp;gt;&amp;#039;&amp;#039;K&amp;#039;&amp;#039;&amp;lt;/sub&amp;gt; = (det Σ&amp;lt;sub&amp;gt;&amp;#039;&amp;#039;K&amp;#039;&amp;#039;&amp;lt;/sub&amp;gt; / |&amp;#039;&amp;#039;K&amp;#039;&amp;#039;|&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;)&amp;lt;sup&amp;gt;1/(2&amp;#039;&amp;#039;n&amp;#039;&amp;#039;)&amp;lt;/sup&amp;gt; among convex bodies &amp;#039;&amp;#039;K&amp;#039;&amp;#039; in &amp;#039;&amp;#039;&amp;#039;R&amp;#039;&amp;#039;&amp;#039;&amp;lt;sup&amp;gt;&amp;#039;&amp;#039;n&amp;#039;&amp;#039;&amp;lt;/sup&amp;gt;, where Σ&amp;lt;sub&amp;gt;&amp;#039;&amp;#039;K&amp;#039;&amp;#039;&amp;lt;/sub&amp;gt; is the covariance matrix of the uniform distribution on &amp;#039;&amp;#039;K&amp;#039;&amp;#039;. It is the sharp form of Bourgain&amp;#039;s slicing problem. A manuscript dated 5 October 2026 in OpenAI&amp;#039;s public mathematics collection ([https://github.com/openai/math github.com/openai/math]) claims the conjecture in every dimension, together with a sharp entropy lower bound for log-concave densities. This page summarizes the published claims and lists publicly available follow-up work. Statements are the respective authors&amp;#039; claims; this page does not certify them.&lt;br /&gt;
&lt;br /&gt;
== Background ==&lt;br /&gt;
* As recounted in the introduction of the manuscript:&lt;br /&gt;
** The slicing problem, arising in Bourgain&amp;#039;s work, asks for a dimension-free upper bound on &amp;#039;&amp;#039;L&amp;#039;&amp;#039;&amp;lt;sub&amp;gt;&amp;#039;&amp;#039;K&amp;#039;&amp;#039;&amp;lt;/sub&amp;gt;. Klartag proved a bound of order &amp;#039;&amp;#039;n&amp;#039;&amp;#039;&amp;lt;sup&amp;gt;1/4&amp;lt;/sup&amp;gt;; Eldan&amp;#039;s stochastic localization led through subpolynomial and polylogarithmic estimates to Klartag and Lehec&amp;#039;s dimension-independent bound using Guan&amp;#039;s covariance estimate. A universal bound does not identify the extremal value or an extremizing body.&lt;br /&gt;
** In the plane, Campi, Colesanti and Gronchi proved the simplex bound and Saroglou established uniqueness of the maximizer. In higher dimensions, Rademacher proved that a simplicial polytope maximizing the isotropic constant must be a simplex, and Kipp obtained restrictions on local maximizers in terms of decomposability.&lt;br /&gt;
** Bobkov and Madiman related entropy bounds for log-concave measures to the slicing problem. Fradelizi and Marín Sola formulated the sharp entropy statement below and proved its equivalence, across dimensions, with the simplex bound; Melbourne, Nayar and Roberto proved it in dimension one.&lt;br /&gt;
&lt;br /&gt;
== The original results ==&lt;br /&gt;
* &amp;#039;&amp;#039;&amp;#039;Claim (the simplex inequality).&amp;#039;&amp;#039;&amp;#039; Theorem &amp;#039;&amp;#039;intro:simplex&amp;#039;&amp;#039; of &amp;#039;&amp;#039;A sharp entropy bound and the simplex inequality for isotropic constants&amp;#039;&amp;#039; states that for every &amp;#039;&amp;#039;n&amp;#039;&amp;#039; ≥ 1 every convex body &amp;#039;&amp;#039;K&amp;#039;&amp;#039; in &amp;#039;&amp;#039;&amp;#039;R&amp;#039;&amp;#039;&amp;#039;&amp;lt;sup&amp;gt;&amp;#039;&amp;#039;n&amp;#039;&amp;#039;&amp;lt;/sup&amp;gt; satisfies &amp;#039;&amp;#039;L&amp;#039;&amp;#039;&amp;lt;sub&amp;gt;&amp;#039;&amp;#039;K&amp;#039;&amp;#039;&amp;lt;/sub&amp;gt; ≤ (&amp;#039;&amp;#039;n&amp;#039;&amp;#039;!)&amp;lt;sup&amp;gt;1/&amp;#039;&amp;#039;n&amp;#039;&amp;#039;&amp;lt;/sup&amp;gt; / ((&amp;#039;&amp;#039;n&amp;#039;&amp;#039; + 1)&amp;lt;sup&amp;gt;(&amp;#039;&amp;#039;n&amp;#039;&amp;#039;+1)/(2&amp;#039;&amp;#039;n&amp;#039;&amp;#039;)&amp;lt;/sup&amp;gt; √(&amp;#039;&amp;#039;n&amp;#039;&amp;#039; + 2)), with equality if and only if &amp;#039;&amp;#039;K&amp;#039;&amp;#039; is a simplex.&lt;br /&gt;
* &amp;#039;&amp;#039;&amp;#039;Claim (the sharp entropy bound).&amp;#039;&amp;#039;&amp;#039; Theorem &amp;#039;&amp;#039;intro:entropy&amp;#039;&amp;#039; states that every log-concave probability density &amp;#039;&amp;#039;f&amp;#039;&amp;#039; on &amp;#039;&amp;#039;&amp;#039;R&amp;#039;&amp;#039;&amp;#039;&amp;lt;sup&amp;gt;&amp;#039;&amp;#039;m&amp;#039;&amp;#039;&amp;lt;/sup&amp;gt; satisfies &amp;#039;&amp;#039;h&amp;#039;&amp;#039;(&amp;#039;&amp;#039;f&amp;#039;&amp;#039;) ≥ &amp;#039;&amp;#039;m&amp;#039;&amp;#039; + ½ log det Cov(&amp;#039;&amp;#039;f&amp;#039;&amp;#039;), with equality exactly for invertible affine images of products of independent one-sided exponential laws.&lt;br /&gt;
* &amp;#039;&amp;#039;&amp;#039;Consequence, as stated by the manuscript.&amp;#039;&amp;#039;&amp;#039; Through Klartag&amp;#039;s implication from the sharp simplex bound, the theorem gives the nonsymmetric Mahler inequality |&amp;#039;&amp;#039;K&amp;#039;&amp;#039;| |&amp;#039;&amp;#039;K&amp;#039;&amp;#039;&amp;lt;sup&amp;gt;∘&amp;lt;/sup&amp;gt;| ≥ (&amp;#039;&amp;#039;n&amp;#039;&amp;#039; + 1)&amp;lt;sup&amp;gt;&amp;#039;&amp;#039;n&amp;#039;&amp;#039;+1&amp;lt;/sup&amp;gt;/(&amp;#039;&amp;#039;n&amp;#039;&amp;#039;!)&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt; in every dimension.&lt;br /&gt;
* &amp;#039;&amp;#039;Method, as described:&amp;#039;&amp;#039; the proof transports the standard Gaussian measure to a regularized density by Brenier&amp;#039;s map, parametrizes its Hessian through the scalar transport from a Gaussian to a mean-one exponential variable, normalizes the resulting matrix field to have Gaussian mean zero, and closes an energy estimate that keeps a term involving pairs of distinct eigenvalues. One-variable bounds are certified in an appendix with an exact-rational verifier.&lt;br /&gt;
* &amp;#039;&amp;#039;&amp;#039;Sources.&amp;#039;&amp;#039;&amp;#039; At commit &amp;lt;code&amp;gt;1581d4c&amp;lt;/code&amp;gt;: [https://github.com/openai/math/tree/1581d4cbdd69a0faf34b2089614fe2a814316a6a/preprints/A-sharp-entropy-bound-and-the-simplex-inequality-for-isotropic-constants-October-5-2026 A sharp entropy bound and the simplex inequality for isotropic constants].&lt;br /&gt;
* &amp;#039;&amp;#039;&amp;#039;Formalization.&amp;#039;&amp;#039;&amp;#039; The repository&amp;#039;s Lean documentation has no scope note for this family at that commit.&lt;br /&gt;
&lt;br /&gt;
== Public follow-up work ==&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
! Date !! Work !! Relation !! Public claim !! Public status (checked 23 October 2026)&lt;br /&gt;
|-&lt;br /&gt;
| 2026-10-07 || mxym, &amp;#039;&amp;#039;Quantitative compatibility of nonlinear matrix Jacobians&amp;#039;&amp;#039;, with two companion manuscripts on orthogonal tensor rigidity ([https://github.com/mxym/math/tree/c86f853d067e2105c508d6c25e2739593c166199/notes/global-orthogonal-tensor-rigidity mxym/math, notes/global-orthogonal-tensor-rigidity]) || Uses (conditional stability) || Assuming the transport remainder stated in the manuscript&amp;#039;s smooth entropy bound, as an explicitly imported hypothesis, the note derives square-root stability: for smooth strongly log-concave densities with small entropy deficit Δ(&amp;#039;&amp;#039;f&amp;#039;&amp;#039;) = &amp;#039;&amp;#039;h&amp;#039;&amp;#039;(&amp;#039;&amp;#039;f&amp;#039;&amp;#039;) − &amp;#039;&amp;#039;m&amp;#039;&amp;#039; − ½ log det Cov(&amp;#039;&amp;#039;f&amp;#039;&amp;#039;), and for all full-dimensional log-concave densities when the manuscript&amp;#039;s approximation lemma is used as well, the whitened law of &amp;#039;&amp;#039;f&amp;#039;&amp;#039; lies within &amp;#039;&amp;#039;C&amp;#039;&amp;#039;&amp;lt;sub&amp;gt;&amp;#039;&amp;#039;m&amp;#039;&amp;#039;&amp;lt;/sub&amp;gt;√Δ(&amp;#039;&amp;#039;f&amp;#039;&amp;#039;) in Wasserstein distance &amp;#039;&amp;#039;W&amp;#039;&amp;#039;&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; of a rotated product of centered mean-one exponential laws. An unconditional one-dimensional truncated-exponential family shows that no power larger than ½ is possible. The note attributes its exact compatibility argument to the manuscript&amp;#039;s rigidity lemma. || Repository note prepared with AI assistance and self-reviewed; it states that it does not independently certify the imported remainder. A Lean file checks seven algebraic lemmas, not the analytic results.&lt;br /&gt;
|-&lt;br /&gt;
| 2026-10-08 || [https://github.com/atimics/math2/blob/2c0f00528a8bb375d02bd48a513062254a53c285/docs/COROLLARIES.md atimics/math2], entry GE-4 of &amp;lt;code&amp;gt;docs/COROLLARIES.md&amp;lt;/code&amp;gt; (GitHub, commit &amp;lt;code&amp;gt;2c0f005&amp;lt;/code&amp;gt;) || Uses (written corollary) || From the simplex inequality, by elementary bounds on &amp;#039;&amp;#039;n&amp;#039;&amp;#039;!, the simplex value is below 1/&amp;#039;&amp;#039;e&amp;#039;&amp;#039; in every dimension and tends to 1/&amp;#039;&amp;#039;e&amp;#039;&amp;#039;; hence &amp;#039;&amp;#039;L&amp;#039;&amp;#039;&amp;lt;sub&amp;gt;&amp;#039;&amp;#039;K&amp;#039;&amp;#039;&amp;lt;/sub&amp;gt; &amp;amp;lt; 1/&amp;#039;&amp;#039;e&amp;#039;&amp;#039; for every convex body in every dimension, and 1/&amp;#039;&amp;#039;e&amp;#039;&amp;#039; is the best dimension-free constant. || Catalogue of conditional corollaries in a public repository; AI-assisted.&lt;br /&gt;
|-&lt;br /&gt;
| 2026-10-13 || M. Colbrook and contributors, [https://github.com/MColbrook/AIM AIM — Open Applied Problems] (GitHub), [https://github.com/MColbrook/AIM/blob/8729eab98bafe409b66c5e39253bf56569a62327/problems/543-simplex-maximal-isotropic-constant.md problem 543] || Catalogue || The collection records its problem 543, the sharp simplex bound for &amp;#039;&amp;#039;L&amp;#039;&amp;#039;&amp;lt;sub&amp;gt;&amp;#039;&amp;#039;K&amp;#039;&amp;#039;&amp;lt;/sub&amp;gt;, as solved by the manuscript, noting that the source definition of &amp;#039;&amp;#039;L&amp;#039;&amp;#039;&amp;lt;sub&amp;gt;&amp;#039;&amp;#039;K&amp;#039;&amp;#039;&amp;lt;/sub&amp;gt; matches, that no symmetry or polytope restriction appears, and that the uniqueness of the equality case goes beyond the target. || The status review is described as &amp;quot;an AI statement-level review of a published manuscript, not a fresh independent audit of its complete proof or a Lean kernel replay&amp;quot;. The collection is not affiliated with the American Institute of Mathematics.&lt;br /&gt;
|-&lt;br /&gt;
| 2026-10-16 || J. Jardine, Lattice24, referee review [https://github.com/JJardine919/openai-math-audit/blob/a06a8c6e77974d4c6021338a55a8e91b634f67f7/reviews/rank_117.json rank_117] of the manuscript in [https://github.com/JJardine919/openai-math-audit JJardine919/openai-math-audit] || Review (AI-assisted audit) || Reports no gap. It records one minor reservation: the appendix&amp;#039;s tail estimates for the one-variable bounds were not audited line by line; instead the reviewer rechecked the bounds on a grid in high precision and ran the authors&amp;#039; exact-rational verifier, noting that the bound &amp;#039;&amp;#039;p&amp;#039;&amp;#039;(&amp;#039;&amp;#039;a&amp;#039;&amp;#039;) ≥ 1/(7 + &amp;#039;&amp;#039;a&amp;#039;&amp;#039;&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;) holds with a slack of only about 7 × 10&amp;lt;sup&amp;gt;−6&amp;lt;/sup&amp;gt; near its worst point. || Part of an audit of the collection&amp;#039;s manuscripts that the audit describes as complete.&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Notes ==&lt;br /&gt;
* The earlier results are due to the authors named in the Background section, as recounted by the manuscript.&lt;br /&gt;
* The list covers follow-ups found in public sources up to the date above; it is not a priority or completeness claim.&lt;br /&gt;
&lt;br /&gt;
[[Category:OpenAI results]]&lt;/div&gt;</summary>
		<author><name>Aftermath bot</name></author>
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