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We consider sets in $\mathbb R^N$ which minimise, for fixed volume, the sum of the perimeter and a non-local term given by the double integral of a kernel $g:\mathbb R^N\setminus\{0\}\to \mathbb R^+$. We establish some general existence and…

Analysis of PDEs · Mathematics 2021-03-19 Matteo Novaga , Aldo Pratelli

We study the existence of an optimizer for a quantitative isoperimetric ratio $\mathcal{Q}_*$ in $\mathbb{R}^3$ involving the Hausdorff asymmetry. We prove that $\mathcal{Q}_*$ attains its minimum over the class $\mathcal{A}$ of convex…

Optimization and Control · Mathematics 2026-05-29 Silvio Bove , Gisella Croce , Giovanni Pisante

We prove the higher differentiability of integer order of locally bounded minimizers of integral functionals of the form \begin{equation*} \mathcal{F}(u,\Omega):= \,\sum_{i=1}^{n} \dfrac{1}{p_i}\displaystyle \int_\Omega \, a_i(x) \lvert…

Analysis of PDEs · Mathematics 2025-12-05 Antonio Giuseppe Grimaldi , Stefania Russo

For any convex set $\Omega \subset {\mathbb R} ^N$, we provide a lower bound for the inverse of the Poincar\'e constant in $W ^ {1, 1}(\Omega)$: it refines an inequality in terms of the diameter due to Acosta-Duran, via the addition of an…

Analysis of PDEs · Mathematics 2025-04-10 Dorin Bucur , Ilaria Fragalà

In this paper, we will use a suitable tranform to investigate the sharp constants and optimizers for the following Caffarelli-Kohn-Nirenberg inequalities for a wide range of parameters $(r,p,q,s,\mu,\sigma)$ and $0\leq a\leq1$:…

Analysis of PDEs · Mathematics 2015-10-06 Nguyen Lam , Guozhen Lu

We prove the following isoperimetric type inequality: Given a finite absolutely continuous Borel measure on ${\mathbb R}^n$, halfspaces have maximal measure among all subsets with prescribed barycenter. As a consequence, we make progress…

Probability · Mathematics 2025-07-11 Shoni Gilboa , Pazit Haim-Kislev , Boaz Slomka

The isodiametric inequality is derived from the isoperimetric inequality trough a variational principle, establishing that balls maximize the perimeter among convex sets with fixed diameter. This principle brings also quantitative…

Metric Geometry · Mathematics 2015-03-19 Francesco Maggi , Marcello Ponsiglione , Aldo Pratelli

We prove some old and new isoperimetric inequalities with the best constant using the ABP method applied to an appropriate linear Neumann problem. More precisely, we obtain a new family of sharp isoperimetric inequalities with weights (also…

Analysis of PDEs · Mathematics 2013-04-16 Xavier Cabre , Xavier Ros-Oton , Joaquim Serra

This paper concerns the problem of determining the optimal constant in the Montgomery--Vaughan weighted generalization of Hilbert's inequality. We consider an approach pursued by previous authors via a parametric family of inequalities. We…

Classical Analysis and ODEs · Mathematics 2024-03-12 Wijit Yangjit

We prove existence of minimizers for the sharp Poincar\'e-Sobolev constant in general Steiner symmetric sets, in the subcritical and superhomogeneous regime. The sets considered are not necessarily bounded, thus the relevant embeddings may…

Analysis of PDEs · Mathematics 2025-05-19 Lorenzo Brasco , Luca Briani , Francesca Prinari

Consider a sum of convex functions, where the only information known about each individual summand is the location of a minimizer. In this work, we give an exact characterization of the set of possible minimizers of the sum. Our results…

Optimization and Control · Mathematics 2024-03-11 Moslem Zamani , François Glineur , Julien M. Hendrickx

On a convex bounded open set, we prove that Poincar\'e-Sobolev constants for functions vanishing at the boundary can be bounded from below in terms of the norm of the distance function in a suitable Lebesgue space. This generalizes a result…

Optimization and Control · Mathematics 2023-07-13 Francesca Prinari , Anna Chiara Zagati

In this paper we introduce the class of infinite infimal convolution functionals and apply these functionals to the regularization of ill-posed inverse problems. The proposed regularization involves an infimal convolution of a continuously…

Optimization and Control · Mathematics 2024-12-17 Kristian Bredies , Marcello Carioni , Martin Holler , Yury Korolev , Carola-Bibiane Schönlieb

We investigate numerically the optimal constants in Lieb-Thirring inequalities by studying the associated maximization problem. We use a monotonic fixed-point algorithm and a finite element discretization to obtain trial potentials which…

Spectral Theory · Mathematics 2012-06-11 Antoine Levitt

The search of the optimal constant for a generalized Wirtinger inequality in an interval consists in minimizing the $p$-norm of the derivative among all functions whose $q$-norm is equal to~1 and whose $(r-1)$-power has zero average.…

Classical Analysis and ODEs · Mathematics 2017-05-02 Marina Ghisi , Massimo Gobbino , Giulio Rovellini

This paper is concerned with the regularity of shape optimizers of a class of isoperimetric problems under convexity constraint. We prove that minimizers of the sum of the perimeter and a perturbative term, among convex shapes, are C…

Optimization and Control · Mathematics 2024-02-02 Jimmy Lamboley , Raphaël Prunier

We study inequalities connecting the product of uniform norms of polynomials with the norm of their product. This circle of problems include the Gelfond-Mahler inequality for the unit disk and the Kneser-Borwein inequality for the segment…

Complex Variables · Mathematics 2013-07-23 I. E. Pritsker , S. Ruscheweyh

Recently Frank and Seiringer have shown an isoperimetric inequality for nonlocal perimeter functionals arising from Sobolev seminorms of fractional order. This isoperimetric inequality is improved here in a quantitative form.

Analysis of PDEs · Mathematics 2011-02-14 Nicola Fusco , Vincent Millot , Massimiliano Morini

A real random variable admits median(s) and quantiles. These values minimize convex functions on $\mathbb R$. We show by "Convex Analysis" arguments that the function to be minimized is very natural. The relationship with some notions about…

Statistics Theory · Mathematics 2014-11-12 Michel Valadier

Solving inverse problems \(Ax = y\) is central to a variety of practically important fields such as medical imaging, remote sensing, and non-destructive testing. The most successful and theoretically best-understood method is convex…

Numerical Analysis · Mathematics 2025-09-23 Daniel Obmann , Gyeongha Hwang , Markus Haltmeier