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arxiv: 1907.06785 · v2 · pith:K4QZKQ3Xnew · submitted 2019-07-15 · 🧮 math.PR

A simplified proof of CLT for convex bodies

Daniel J. Fresen This is my paper

Pith reviewed 2026-05-24 20:59 UTC · model grok-4.3

classification 🧮 math.PR
keywords central limit theoremconvex bodieslog-concave functionsthin shell estimatehigh-dimensional probabilityKlartag theoremmarginal distributions
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The pith

A short proof shows Klartag's central limit theorem for convex bodies follows from the thin-shell estimate and classical log-concave facts alone.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper delivers a simplified proof of the central limit theorem for uniform measures on high-dimensional convex bodies. It reduces the result to the thin-shell estimate plus standard properties of log-concave functions, with an appendix establishing the thin-shell-to-CLT implication. A sympathetic reader would care because the argument avoids specialized tools and becomes accessible from basic analysis. If the reduction holds, the theorem rests on fewer technical layers than earlier presentations.

Core claim

We present a short proof of Klartag's central limit theorem for convex bodies, using only the most classical facts about log-concave functions. An appendix is included where we give the proof that thin shell implies CLT.

What carries the argument

The implication that thin-shell concentration yields the central limit theorem, closed using only classical facts about log-concave functions.

If this is right

  • Whenever a convex body satisfies the thin-shell estimate, its one-dimensional marginals obey the central limit theorem.
  • The central limit theorem for convex bodies can be proved without tools beyond the thin-shell estimate and standard log-concave properties.
  • The appendix supplies an explicit route from thin-shell concentration to Gaussian marginals that stands on its own.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The same reduction might shorten proofs of related limit theorems for other log-concave measures.
  • If the thin-shell estimate can be verified more elementarily in special cases, those cases would immediately inherit the central limit theorem.
  • The approach invites checking whether still weaker concentration assumptions suffice for the same conclusion.

Load-bearing premise

The classical facts about log-concave functions are enough to complete every step from the thin-shell estimate to the central limit theorem without extra estimates.

What would settle it

A step-by-step check that finds one place in the argument where a non-classical estimate on log-concave functions is required, or a convex body obeying thin-shell concentration whose marginals fail to converge to Gaussian.

read the original abstract

We present a short proof of Klartag's central limit theorem for convex bodies, using only the most classical facts about log-concave functions. An appendix is included where we give the proof that thin shell implies CLT. The paper is accessible to anyone.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

0 major / 3 minor

Summary. The manuscript presents a short proof of Klartag's central limit theorem for convex bodies, reducing the result to the thin-shell estimate via an appendix derivation that uses only classical facts about log-concave functions (marginals, Brunn-Minkowski, and basic concentration). The argument is claimed to be self-contained and accessible without advanced tools.

Significance. If correct, the result provides a streamlined, self-contained route to a central theorem in high-dimensional convex geometry and asymptotic geometric analysis. The explicit reduction of CLT to thin-shell (in the appendix) and reliance on standard log-concave properties constitute a genuine simplification that could broaden accessibility and facilitate further work.

minor comments (3)
  1. [§1] §1, paragraph 3: the statement that the proof uses 'only the most classical facts' would benefit from an explicit list of the invoked properties (e.g., the precise form of the Brunn-Minkowski inequality and the marginal preservation of log-concavity) to aid readers.
  2. [Appendix] Appendix, proof of thin-shell implies CLT: the transition from the thin-shell variance bound to the Kolmogorov distance in the final display could be expanded by one sentence to clarify the application of the cited concentration inequality.
  3. Notation: the symbol for the isotropic constant is introduced without a forward reference; adding a parenthetical reminder in the first use would improve readability.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for the positive assessment of the manuscript and the recommendation to accept. The report correctly identifies the main contributions: the short self-contained proof of Klartag's CLT and the appendix reduction from thin-shell estimates using only classical properties of log-concave measures.

Circularity Check

0 steps flagged

No significant circularity

full rationale

The paper derives Klartag's CLT for convex bodies from the thin-shell estimate (proved in the appendix) using only classical facts on log-concave functions such as marginals, Brunn-Minkowski, and basic concentration. Each step is justified by cited external results with no reduction of any claim to a fitted parameter, self-definition, or load-bearing self-citation chain. The derivation is self-contained and does not rename or smuggle in prior results by the same author.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The proof rests on standard properties of log-concave functions and the thin-shell implication; no free parameters, new entities, or ad-hoc axioms are indicated in the abstract.

axioms (1)
  • standard math Classical facts about log-concave functions suffice for the derivation
    Invoked as the sole non-elementary input to the short proof.

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Reference graph

Works this paper leans on

15 extracted references · 15 canonical work pages · 1 internal anchor

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