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In this paper, we establish a parabolic Harnack inequality for positive solutions of the $\phi$-heat equation and prove Gaussian upper and lower bounds for the $\phi$-heat kernel on weighted Riemannian manifolds under lower $N$-Ricci…

Differential Geometry · Mathematics 2025-05-27 Wen-Qi Li , Zhikai Zhang

We derive an adaptation of Li & Yau estimates for positive solutions of semilinear heat equations on Riemannian manifolds with nonnegative Ricci tensor. We then apply these estimates to obtain a Harnack inequality and to discuss…

Analysis of PDEs · Mathematics 2022-01-10 Daniele Castorina , Giovanni Catino , Carlo Mantegazza

The Harnack inequality established in [13] for generalized Mehler semigroup is improved and generalized. As applications, the log-Harnack inequality, the strong Feller property, the hyper-bounded property, and some heat kernel inequalities…

Probability · Mathematics 2009-08-21 Shun-Xiang Ouyang , Michael Röckner , Feng-Yu Wang

Continuing our previous work (arXiv:1509.07981v1), we derive another global gradient estimate for positive functions, particularly for positive solutions to the heat equation on finite or locally finite graphs. In general, the gradient…

Differential Geometry · Mathematics 2015-10-27 Yong Lin , Shuang Liu , Yunyan Yang

This article deals with a variation of constants type inequality for semigroups acting consistently on a scale of Banach spaces. This inequality can be characterized by a corresponding (easy to verify) inequality for their generators. The…

Functional Analysis · Mathematics 2018-02-02 Christian Seifert , Hendrik Vogt , Marcus Waurick

In this note we obtain gradient estimates for the heat semigroup on nonisotropic Heisenberg groups. More precisely, our aim is to get the H.-Q. Li inequality on nonisotropic Heisenberg groups, which is a generalization of the original…

Analysis of PDEs · Mathematics 2021-10-07 Ye Zhang

We investigate the relationships between the parabolic Harnack inequality, heat kernel estimates, some geometric conditions, and some analytic conditions for random walks with long range jumps. Unlike the case of diffusion processes, the…

Probability · Mathematics 2007-05-23 M. T. Barlow , R. F. Bass , T. Kumagai

Based on gradient estimates for the heat equation by Hamilton, we discover a backward in time Harnack inequality for positive solutions on compact manifolds without further restrictions such as boundedness or vanishing boundary value for…

Analysis of PDEs · Mathematics 2025-08-28 Juanling Lu , Yuting Wu , Qi S. Zhang

We prove pointwise and $L^p$ gradient estimates for the heat kernel on the bounded and unbounded Vicsek set and applications to Sobolev inequalities are given. We also define a Hodge semigroup in that setting and prove estimates for its…

Analysis of PDEs · Mathematics 2024-09-25 Fabrice Baudoin , Li Chen

In the present paper, we obtain some gradient estimates for positive solutions to the following nonlinear parabolic equation under general geometric flow on complete noncompact manifolds.

Differential Geometry · Mathematics 2019-01-15 Gh. Fasihi Ramandi , S. Azami

In this paper, we investigate subelliptic harmonic maps with potential from noncompact complete sub-Riemannian manifolds corresponding to totally geodesic Riemannian foliations. Under some suitable conditions, we give the gradient estimates…

Differential Geometry · Mathematics 2022-04-18 Han Luo

We prove a geometrically meaningful stochastic representation of the derivative of the heat semigroup on sub-Riemannian manifolds with tranverse symmetries. This representation is obtained from the study of Bochner-Weitzenbock type formulas…

Probability · Mathematics 2014-06-24 Fabrice Baudoin

We prove a refined contraction inequality for diffusion semigroups with respect to the Wasserstein distance on a compact Riemannian manifold taking account of the dimension. The result generalizes in a Riemannian context, the dimensional…

Probability · Mathematics 2014-12-16 Ivan Gentil

Estimating means on Riemannian manifolds is generally computationally expensive because the Riemannian distance function is not known in closed-form for most manifolds. To overcome this, we show that Riemannian diffusion means can be…

Other Statistics · Statistics 2025-02-19 Frederik Möbius Rygaard , Steen Markvorsen , Søren Hauberg , Stefan Sommer

We consider a complete non-compact Riemannian manifold satisfying the volume doubling property and a Gaussian upper bound for its heat kernel (on functions). Let -- $\rightarrow$ $\Delta$ k be the Hodge-de Rham Laplacian on differential…

Analysis of PDEs · Mathematics 2017-05-22 Jocelyn Magniez , El Maati Ouhabaz

A set of pointwise estimates are established for local solutions to nonlocal diffusion equations with a drift term. In particular, our Harnack estimates are the first ones for such equations, and our H\"older regularity refines certain…

Analysis of PDEs · Mathematics 2025-01-14 Naian Liao

In this paper, we remove the assumption on the gradient of the Ricci curvature in Hamilton's matrix Harnack estimate for the heat equation on all closed manifolds, answering a question which has been around since the 1990s. New ingredients…

Differential Geometry · Mathematics 2024-09-17 Lang Qin , Qi S. Zhang

Let $M$ be a closed Riemannian manifold with a family of Riemannian metrics $g_{ij}(t)$ evolving by geometric flow $\partial_{t}g_{ij} = -2{S}_{ij}$, where $S_{ij}(t)$ is a family of smooth symmetric two-tensors on $M$. In this paper we…

Differential Geometry · Mathematics 2014-02-19 Hongxin Guo , Masashi Ishida

In this paper, we study the gradient estimates of Li-Yau-Hamilton type for positive solutions to both drifting heat equation and the simple nonlinear heat equation problem $$ u_t-\Delta u=au\log u, \ \ u>0 $$ on the compact Riemannian…

Differential Geometry · Mathematics 2016-01-20 Li Ma

Diffusion models are recent state-of-the-art methods for image generation and likelihood estimation. In this work, we generalize continuous-time diffusion models to arbitrary Riemannian manifolds and derive a variational framework for…

Machine Learning · Computer Science 2022-08-18 Chin-Wei Huang , Milad Aghajohari , Avishek Joey Bose , Prakash Panangaden , Aaron Courville