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We establish two-sided Gaussian bounds on the heat kernel of divergence-form parabolic equation with singular time-inhomogeneous vector field satisfying some minimal assumptions.

Analysis of PDEs · Mathematics 2023-11-22 Damir Kinzebulatov , Yuliy A. Semenov

We discuss new proofs, and new forms, of a reverse logarithmic Sobolev inequality, with respect to the standard Gaussian measure, for low complexity functions, measured in terms of Gaussian-width. In particular, we provide a dimension-free…

Functional Analysis · Mathematics 2019-03-19 Ronen Eldan , Michel Ledoux

We prove a T1 theorem for fractional vector Riesz transforms mapping one weighted Sobolev space to another, where the weights are doubling measures on Euclidean space. Boundedness is characterized by the classical A_2 condition and two dual…

Classical Analysis and ODEs · Mathematics 2024-04-05 Eric T. Sawyer , Brett D. Wick

In this paper, we consider symmetric jump processes of mixed-type on metric measure spaces under general volume doubling condition, and establish stability of two-sided heat kernel estimates and heat kernel upper bounds. We obtain their…

Probability · Mathematics 2017-09-25 Zhen-Qing Chen , Takashi Kumagai , Jian Wang

We obtain new oscillation inequalities in metric spaces in terms of the Peetre $K-$functional and the isoperimetric profile. Applications provided include a detailed study of Fractional Sobolev inequalities and the Morrey-Sobolev embedding…

Functional Analysis · Mathematics 2014-04-01 Joaquim Martin , Mario Milman

In this work, we establish a new characterization of sub-Gaussian heat kernel estimates for strongly local regular Dirichlet forms on metric measure spaces. Our formulation is based on the newly introduced cutoff energy condition, which…

Probability · Mathematics 2025-10-08 Riku Anttila

In this article, we prove a general and rather flexible upper bound for the heat kernel of a weighted heat operator on a closed manifold evolving by an intrinsic geometric flow. The proof is based on logarithmic Sobolev inequalities and…

Differential Geometry · Mathematics 2020-07-15 Reto Buzano , Louis Yudowitz

This paper introduces first order Sobolev spaces on certain rectifiable varifolds. These complete locally convex spaces are contained in the generally nonlinear class of generalised weakly differentiable functions and share key functional…

Classical Analysis and ODEs · Mathematics 2017-05-25 Ulrich Menne

We study the simultaneous homogenization and dimension reduction of an energy functional with linear growth defined on the space of manifold valued Sobolev functions. The study is carried out by $\Gamma$-convergence, providing an integral…

Analysis of PDEs · Mathematics 2025-07-25 Luca Lussardi , Andrea Torricelli , Elvira Zappale

A form of Sobolev inequalities for the symmetric gradient of vector-valued functions is proposed, which allows for arbitrary ground domains in $\mathbb R ^n$. In the relevant inequalities, boundary regularity of domains is replaced with…

Functional Analysis · Mathematics 2019-01-30 Andrea Cianchi , Vladimir Maz'ya

Entropy comparison inequalities are obtained for the differential entropy $h(X+Y)$ of the sum of two independent random vectors $X,Y$, when one is replaced by a Gaussian. For identically distributed random vectors $X,Y$, these are closely…

Information Theory · Computer Science 2024-07-24 Lampros Gavalakis , Ioannis Kontoyiannis , Mokshay Madiman

We present an approach for variational regularization of inverse and imaging problems for recovering functions with values in a set of vectors. We introduce regularization functionals, which are derivative-free double integrals of such…

Optimization and Control · Mathematics 2018-12-24 René Ciak , Melanie Melching , Otmar Scherzer

The aim of this paper is to establish two fundamental measure-metric properties of particular random geometric graphs. We consider $\varepsilon$-neighborhood graphs whose vertices are drawn independently and identically distributed from a…

Probability · Mathematics 2020-03-24 Franziska Göbel , Gilles Blanchard

We study the homogenization of the Poisson equation with reaction term and of the eigenvalue problem associated to the generator of multiscale Langevin dynamics. Our analysis extends the theory of two-scale convergence to the case of…

Analysis of PDEs · Mathematics 2024-01-30 Andrea Zanoni

We consider the case with boundary of the classical Kazdan-Warner problem in dimension greater or equal than three, i.e. the prescription of scalar and boundary mean curvatures via conformal deformations of the metric. We deal in particular…

Analysis of PDEs · Mathematics 2021-05-12 S. Cruz-Blázquez , A. Malchiodi , D. Ruiz

Gaussian universality results assert that the properties of many estimators remain unchanged when the input data are replaced by Gaussians. Such results have gained popularity in high-dimensional statistics and machine learning, as…

Probability · Mathematics 2025-12-03 Kevin Han Huang , Morgane Austern , Peter Orbanz

We study simultaneous homogenization and dimensional reduction of integral functionals for maps in manifold-valued Sobolev spaces. Due to the superlinear growth regime, we prove that the density of the $\Gamma$-limit is a tangential…

Analysis of PDEs · Mathematics 2025-07-23 Michela Eleuteri , Luca Lussardi , Andrea Torricelli , Elvira Zappale

We study the volume growth of metric balls as a function of the radius in discrete spaces, and focus on the relationship between volume growth and discrete curvature. We improve volume growth bounds under a lower bound on the so-called…

Combinatorics · Mathematics 2019-10-15 Brian Benson , Peter Ralli , Prasad Tetali

We give a comprehensive study of interpolation inequalities for periodic functions with zero mean, including the existence of and the asymptotic expansions for the extremals, best constants, various remainder terms, etc. Most attention is…

Functional Analysis · Mathematics 2010-12-10 Michele V. Bartuccelli , Jonathan H. B. Deane , Sergey Zelik

Slepian and Sudakov-Fernique type inequalities, which compare expectations of maxima of Gaussian random vectors under certain restrictions on the covariance matrices, play an important role in probability theory, especially in empirical…

Probability · Mathematics 2014-04-15 Victor Chernozhukov , Denis Chetverikov , Kengo Kato