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This note details how a recent structure theorem for normal $1$-currents proved by the first and third author allows to prove a conjecture of Cheeger concerning the structure of Lipschitz differentiability spaces. More precisely, we show…

Metric Geometry · Mathematics 2016-08-08 Guido De Philippis , Andrea Marchese , Filip Rindler

We prove a general inequality for estimating the number of points of arbitrary complete intersections over a finite field. This extends a result of Deligne for nonsingular complete intersections. For normal complete intersections, this…

Algebraic Geometry · Mathematics 2009-09-15 Sudhir R. Ghorpade , Gilles Lachaud

We introduce an unconditional concept of almost squareness in order to provide a partial negative answer to the problem of existence of any dual almost square Banach space. We also take advantage of this notion to provide some criterion of…

Functional Analysis · Mathematics 2016-06-09 Luis García-Lirola , Abraham Rueda Zoca

Non-convex functions that yet satisfy a condition of uniform convexity for non-close points can arise in discrete constructions. We prove that this sort of discrete uniform convexity is inherited by the convex envelope, which is the key to…

Functional Analysis · Mathematics 2021-05-12 Guillaume Grelier , Matías Raja

Considering the weighted concept of majorization, Sherman obtained generalization of majorization inequality for convex functions known as Sherman's inequality. We extend Sherman's result to the class of n-strongly convex functions using…

Classical Analysis and ODEs · Mathematics 2019-05-21 Slavica Ivelić Bradanović

Given an nxn doubly stochastic matrix P satisfying an appropriate condition of linear algebraic-type, and a function f defined on a nonempty interval, we show that the validity of a convexity-type functional inequality for f in terms P…

Classical Analysis and ODEs · Mathematics 2025-10-07 Matyas Barczy , Zsolt Páles

Recently there were proposed some innovative convex optimization concepts, namely, relative smoothness [1] and relative strong convexity [2,3]. These approaches have significantly expanded the class of applicability of gradient-type methods…

Optimization and Control · Mathematics 2024-04-19 Fedor Stonyakin , Alexander Titov , Mohammad Alkousa , Oleg Savchuk , Alexander Gasnikov

This paper analyzes the Lipschitz behavior of the feasible set in two parametric settings, associated with linear and convex systems in R^n. To start with, we deal with the parameter space of linear (finite/semi-infinite) systems identified…

Optimization and Control · Mathematics 2019-07-05 Gerald Beer , María J. Cánovas , Marco A. López , Juan Parra

In this paper, we mainly study subtransversality and two types of strong CHIP (given via Fr\'echet and limiting normal cones) for a collection of finitely many closed sets. We first prove characterizations of Asplund spaces in terms of…

Optimization and Control · Mathematics 2024-09-27 Zhou Wei , Michel Théra , Jen-Chih Yao

We show that every regular graph with good local expansion has a spanning Lipschitz subgraph with large girth and minimum degree. In particular, this gives a finite analogue of the dynamical solution to the von Neumann problem by Gaboriau…

Group Theory · Mathematics 2021-12-06 Gabor Kun

The class of $\mu$-compact sets can be considered as a natural extension of the class of compact metrizable subsets of locally convex spaces, to which the particular results well known for compact sets can be generalized. This class…

Functional Analysis · Mathematics 2010-04-23 M. E. Shirokov

A purely analytic proof is given for an inequality that has as a direct consequence the two most important affine isoperimetric inequalities of plane convex geometry: The Blaschke-Santalo inequality and the affine isoperimetric inequality…

Metric Geometry · Mathematics 2007-05-23 Wenxiong Chen , Ralph Howard , Erwin Lutwak , Deane Yang , Gaoyong Zhang

The (global) Lipschitz smoothness condition is crucial in establishing the convergence theory for most optimization methods. Unfortunately, most machine learning and signal processing problems are not Lipschitz smooth. This motivates us to…

Optimization and Control · Mathematics 2019-04-23 Qiuwei Li , Zhihui Zhu , Gongguo Tang , Michael B. Wakin

The condition number of a differentiable convex function, namely the ratio of its smoothness to strong convexity constants, is closely tied to fundamental properties of the function. In particular, the condition number of a quadratic convex…

Optimization and Control · Mathematics 2020-04-21 David H. Gutman , Javier F. Pena

In this paper we classify the monomial complete intersection algebras, in two variables, and of positive characteristic, which has the strong Lef- schetz property. Together with known results, this gives a complete classi- fication of the…

Commutative Algebra · Mathematics 2019-05-07 Lisa Nicklasson

We consider the sharp Sobolev-Poincar\'e constant for the embedding of $W^{1,2}_0(\Omega)$ into $L^q(\Omega)$. We show that such a constant exhibits an unexpected dual variational formulation, in the range $1<q<2$. Namely, this can be…

Analysis of PDEs · Mathematics 2021-06-11 Lorenzo Brasco

Differentiable structure ensures that many of the basics of classical convex analysis extend naturally from Euclidean space to Riemannian manifolds. Without such structure, however, extensions are more challenging. Nonetheless, in…

Optimization and Control · Mathematics 2023-11-28 Adrian S. Lewis , Genaro López-Acedo , Adriana Nicolae

We first study Clarke's tangent cones at infinity to unbounded subsets of $\mathbb{R}^n.$ We prove that these cones are closed convex and show a characterization of their interiors. We then study subgradients at infinity for extended real…

Optimization and Control · Mathematics 2024-05-17 Minh Tung Nguyen , Tien-Son Pham

In this paper, we prove that a strongly convex complex Finsler metric $F$ on a domain $D\subset\mathbb{C}^n$ is projectively flat (resp. dually flat) if and only if $F$ comes from a strongly convex complex Minkowski metric.

Differential Geometry · Mathematics 2017-10-04 Hongchuan Xia , Chunping Zhong

Let X_1 ,..., X_n be a collection of binary valued random variables and let f : {0,1}^n -> R be a Lipschitz function. Under a negative dependence hypothesis known as the {\em strong Rayleigh} condition, we show that f - E f satisfies a…

Probability · Mathematics 2013-07-30 Robin Pemantle , Yuval Peres
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