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In this paper, we prove sharp gradient estimates for a positive solution to the heat equation $u_t=\Delta u+au\log u$ in complete noncompact Riemannian manifolds. As its application, we show that if $u$ is a positive solution of the…

Differential Geometry · Mathematics 2018-10-09 Ha Tuan Dung , Nguyen Thac Dung

We derive a sharp, localized version of elliptic type gradient estimates for positive solutions (bounded or not) to the heat equation. These estimates are akin to the Cheng-Yau estimate for the Laplace equation and Hamilton's estimate for…

Differential Geometry · Mathematics 2007-05-23 Philippe Souplet , Qi S. Zhang

We study heat kernel measures on sub-Riemannian infinite-dimensional Heisenberg-like Lie groups. In particular, we show that Cameron-Martin type quasi-invariance results hold in this subelliptic setting and give $L^p$-estimates for the…

Probability · Mathematics 2011-08-09 Fabrice Baudoin , Maria Gordina , Tai Melcher

We prove a sharp integral gradient estimate for harmonic functions on noncompact K\"ahler manifolds. As application, we obtain a sharp estimate for the bottom of spectrum of the p-Laplacian and prove a splitting theorem for manifolds…

Differential Geometry · Mathematics 2019-09-26 Ovidiu Munteanu , Lihan Wang

We consider a diffusion problem on a network on whose nodes we impose Dirichlet and generalized, non-local Kirchhoff-type conditions. We prove well-posedness of the associated initial value problem, and we exploit the theory of…

Analysis of PDEs · Mathematics 2018-12-21 Delio Mugnolo

On a complete non-compact Riemannian manifold satisfying the volume doubling property, we give conditions on the negative part of the Ricci curvature that ensure that, unless there are harmonic one-forms, the Gaussian heat kernel upper…

Analysis of PDEs · Mathematics 2016-06-09 Thierry Coulhon , Baptiste Devyver , Adam Sikora

We address some fundamental questions concerning geometric analysis on Riemannian manifolds. It has been asked whether the $L^p$-Calder\'{o}n-Zygmund inequalities extend to a reasonable class of non-compact Riemannian manifolds without the…

Differential Geometry · Mathematics 2022-01-12 Jun Cao , Li-Juan Cheng , Anton Thalmaier

This paper is devoted to the study of gradient estimates for the Dirichlet problem of the heat equation in the exterior domain of a compact set. Our results describe the time decay rates of the derivatives of solutions to the Dirichlet…

Analysis of PDEs · Mathematics 2017-10-03 Vladimir Georgiev , Koichi Taniguchi

The dimension free Harnack inequality for the heat semigroup is established on the $\RCD(K,\infty)$ space, which is a non-smooth metric measure space having the Ricci curvature bounded from below in the sense of Lott-Sturm-Villani plus the…

Probability · Mathematics 2015-05-19 Huaiqian Li

The paper considers the Ricci flow, coupled with the harmonic map flow between two manifolds. We derive estimates for the fundamental solution of the corresponding conjugate heat equation and we prove an analog of Perelman's differential…

Differential Geometry · Mathematics 2013-10-08 Mihai Băileşteanu , Hung Tran

We present new gradient estimates and Harnack inequalities for positive solutions to nonlinear slow diffusion equations. The framework is that of a smooth metric measure space $(\mathscr M,g,d\mu)$ with invariant weighted measure…

Analysis of PDEs · Mathematics 2025-05-21 Ali Taheri , Vahideh Vahidifar

We propose an inexact optimization algorithm on Riemannian manifolds, motivated by quadratic discrimination tasks in high-dimensional, low-sample-size (HDLSS) imaging settings. In such applications, gradient evaluations are often biased due…

Optimization and Control · Mathematics 2025-07-08 Uday Talwar , Meredith K. Kupinski , Afrooz Jalilzadeh

Learning the distribution of data on Riemannian manifolds is crucial for modeling data from non-Euclidean space, which is required by many applications in diverse scientific fields. Yet, existing generative models on manifolds suffer from…

Machine Learning · Computer Science 2024-06-04 Jaehyeong Jo , Sung Ju Hwang

We prove the Li-Yau gradient estimate for the heat kernel on graphs. The only assumption is a variant of the curvature-dimension inequality, which is purely local, and can be considered as a new notion of curvature for graphs. We compute…

Analysis of PDEs · Mathematics 2015-12-02 Frank Bauer , Paul Horn , Yong Lin , Gabor Lippner , Dan Mangoubi , Shing-Tung Yau

In this article, new curvature conditions are introduced to establish functional inequalities including gradient estimates, Harnack inequalities and transportation-cost inequalities on manifolds with non-convex boundary.

Probability · Mathematics 2017-11-15 Li-Juan Cheng , Anton Thalmaier , James Thompson

We prove an invariant Harnack's inequality for operators in non-divergence form structured on Heisenberg vector fields when the coefficient matrix is uniformly positive definite, continuous, and symplectic. The method consists in…

Analysis of PDEs · Mathematics 2017-06-01 Farhan Abedin , Cristian E. Gutiérrez , Giulio Tralli

Sub-Gaussian heat kernel estimates are typical of fractal graphs. We show that sub-Gaussian estimates on graphs follow from a Poincar\'e inequality, capacity upper bound, and a slow volume growth condition. An important feature of this work…

Probability · Mathematics 2018-10-24 Mathav Murugan

We prove a perturbation result for positive semigroups, thereby extending a heat kernel estimate by Barlow, Grigor'yan and Kumagai for Dirichlet forms (\cite{bgk2009}) to positive semigroups. This also leads to a generalization of…

Functional Analysis · Mathematics 2016-06-28 Christian Seifert , Daniel Wingert

We derive gradient and second order {\em a priori} estimates for solutions of the Neumann problem for a general class of fully nonlinear elliptic equations on compact Riemannian manifolds with boundary. These estimates yield regularity and…

Analysis of PDEs · Mathematics 2018-12-03 Bo Guan , Ni Xiang

In this article, we develop a martingale approach to localized Bismut-type Hessian formulas for heat semigroups on Riemannian manifolds. Our approach extends the Hessian formulas established by Stroock (1996) and removes in particular the…

Probability · Mathematics 2021-10-12 Qin-Qian Chen , Li-Juan Cheng , Anton Thalmaier