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Related papers: Functional John Ellipsoids

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We extend the notion of the smallest volume ellipsoid containing a convex body in~$\mathbb{R}^{d}$ to the setting of logarithmically concave functions. We consider a vast class of logarithmically concave functions whose superlevel sets are…

Functional Analysis · Mathematics 2020-09-23 Grigory Ivanov , Igor Tsiutsiurupa

John's fundamental theorem characterizing the largest volume ellipsoid contained in a convex body $K$ in $\mathbb{R}^d$ has seen several generalizations and extensions. One direction, initiated by V. Milman is to replace ellipsoids by…

Metric Geometry · Mathematics 2023-12-01 Grigory Ivanov , Márton Naszódi

John's inclusion states that a convex body in $\mathbb{R}^d$ 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…

Metric Geometry · Mathematics 2026-01-16 G. Ivanov

We extend the notion of John's ellipsoid to the setting of integrable log-concave functions. This will allow us to define the integral ratio of a log-concave function, which will extend the notion of volume ratio, and we will find the…

Functional Analysis · Mathematics 2016-10-23 David Alonso-Gutiérrez , Bernardo González Merino , Carlos Hugo Jiménez , Rafael Villa

A new position is introduced and studied for the convolution of log-concave functions, which may be regarded as a functional analogue of the maximum intersection position of convex bodies introduced and studied by Artstein-Avidan and Katzin…

Functional Analysis · Mathematics 2025-05-27 Steven Hoehner , Michael Roysdon

The famous theorem of Fritz John states that any convex body has a unique maximal volume inscribed ellipsoid, known as the John Ellipsoid. Computing the John Ellipsoid is a fundamental problem in convex optimization. In this paper, we focus…

Data Structures and Algorithms · Computer Science 2025-10-29 Yang Cao , Xiaoyu Li , Zhao Song , Xin Yang , Tianyi Zhou

For a real-valued non-negative and log-concave function we introduce a notion of difference function; the difference function represents a functional analog on the difference body of a convex body. We prove a sharp inequality which bounds…

Metric Geometry · Mathematics 2007-05-23 Andrea Colesanti

We introduce the notion of Loewner (ellipsoid) function for a log concave function and show that it is an extension of the Loewner ellipsoid for convex bodies. We investigate its duality relation to the recently defined John (ellipsoid)…

Functional Analysis · Mathematics 2019-08-22 Ben Li , Carsten Schuett , Elisabeth M. Werner

Lasserre [La] proved that for every compact set $K\subset\mathbb R^n$ and every even number $d$ there exists a unique homogeneous polynomial $g_0$ of degree $d$ with $K\subset G_1(g_0)=\{x\in\mathbb R^n:g_0(x)\leq 1\}$ minimizing $|G_1(g)|$…

Functional Analysis · Mathematics 2021-07-26 David Alonso-Gutiérrez , Bernardo González Merino , Rafael Villa

We define the functional LYZ ellipsoid of log-concave functions. Then we give notes appended to [6].

Functional Analysis · Mathematics 2019-11-20 Niufa Fang , Jiazu Zhou

We succeeded to isolate a special class of concave Young-functions enjoying the so-called \emph{density-level property}. In this class there is a proper subset whose members have each the so-called degree of contraction denoted by…

Analysis of PDEs · Mathematics 2008-11-23 N. K. Agbeko

Using an idea of Voronoi in the geometric theory of positive definite quadratic forms, we give a transparent proof of John's characterization of the unique ellipsoid of maximum volume contained in a convex body. The same idea applies to the…

Metric Geometry · Mathematics 2012-08-01 Peter M. Gruber , Franz E. Schuster

We study the problem of finding the Lowner-John ellipsoid, i.e., an ellipsoid with minimum volume that contains a given convex set. We reformulate the problem as a generalized copositive program, and use that reformulation to derive…

Optimization and Control · Mathematics 2020-06-22 Areesh Mittal , Grani A. Hanasusanto

We introduce floating bodies for convex, not necessarily bounded subsets of $\mathbb{R}^n$. This allows us to define floating functions for convex and log concave functions and log concave measures. We establish the asymptotic behavior of…

Functional Analysis · Mathematics 2018-08-07 Ben Li , Carsten Schuett , Elisabeth M. Werner

We show that a random concave function having a periodic hessian on an equilateral lattice has a quadratic scaling limit, if the average hessian of the function satisfies certain conditions. We consider the set of all concave functions $g$…

Probability · Mathematics 2020-04-24 Hariharan Narayanan

In this paper functions $f:D\to\mathbb{R}$ satisfying the inequality \[ f\Big(\frac{x+y}{2}\Big)\leq\frac12f(x)+\frac12f(y) +\varphi\Big(\frac{x-y}{2}\Big) \qquad(x,y\in D) \] are studied, where $D$ is a nonempty convex subset of a real…

Classical Analysis and ODEs · Mathematics 2024-12-10 Gábor Marcell Molnár , Zsolt Páles

The largest discs contained in a regular tetrahedron lie in its faces. The proof is closely related to the theorem of Fritz John characterising ellipsoids of maximal volume contained in convex bodies.

Metric Geometry · Mathematics 2009-09-25 Keith Ball

We show explicit formulas for the evaluation of (possibly higher-order) fractional Laplacians of some functions supported on ellipsoids. In particular, we derive the explicit expression of the torsion function and give examples of…

Analysis of PDEs · Mathematics 2020-09-22 Nicola Abatangelo , Sven Jarohs , Alberto Saldaña

Motivated by connections to random matrices, Littlewood-Richardson coefficients and tilings, we study random discrete concave functions on an equilateral lattice. We show that such functions having a periodic Hessian of a fixed average…

Probability · Mathematics 2023-02-03 Hariharan Narayanan

In the $1970$s Nicolas proved that the coefficients $p_d(n)$ defined by the generating function \begin{equation*} \sum_{n=0}^{\infty} p_d(n) \, q^n = \prod_{n=1}^{\infty} \left( 1- q^n\right)^{-n^{d-1}} \end{equation*} are log-concave for…

Combinatorics · Mathematics 2022-06-23 Bernhard Heim , Markus Neuhauser
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