The John inclusion for log-concave functions

John's inclusion states that a convex body in R d can be covered by the d -dilation of its maximal volume ellipsoid. We obtain a certain John-type inclusion for log-concave functions. As a byproduct of our approach, we establish the following asymptotically tight inequality: For any log-concave function f with finite, positive integral, there exist a positive definite matrix A , a point a ∈ R d , and a positive constant α such that χ B d ( x ) ≤ α f ( A ( x − a ) ) ≤ d + 1 ⋅ e − | x | d + 2 + ( d + 1 ) , where χ B d is the indicator function of the unit ball B d .

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Publication Details

Journal
Journal of Mathematical Analysis and Applications
Published
2026-01-15
DOI
https://doi.org/10.1016/j.jmaa.2026.130441
Primary Topic
Point processes and geometric inequalities
Type
article
Field-Weighted Citation Impact
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article

The John inclusion for log-concave functions

Grigory Ivanov
Journal of Mathematical Analysis and Applications
Point processes and geometric inequalities
article

The John inclusion for log-concave functions

Grigory Ivanov
article en

Abstract

John's inclusion states that a convex body in R d can be covered by the d -dilation of its maximal volume ellipsoid. We obtain a certain John-type inclusion for log-concave functions. As a byproduct of our approach, we establish the following asymptotically tight inequality: For any log-concave function f with finite, positive integral, there exist a positive definite matrix A , a point a ∈ R d , and a positive constant α such that χ B d ( x ) ≤ α f ( A ( x − a ) ) ≤ d + 1 ⋅ e − | x | d + 2 + ( d + 1 ) , where χ B d is the indicator function of the unit ball B d .

Journal of Mathematical Analysis and ApplicationsVol. 559(1)
Pontifícia Universidade Católica do Rio de Janeiro (BR)
Reduced inequalities
Openalex Percentile: Top 86%
Point processes and geometric inequalities
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