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We study positive solutions to the heat equation on graphs. We prove variants of the Li-Yau gradient estimate and the differential Harnack inequality. For some graphs, we can show the estimates to be sharp. We establish new computation…

Analysis of PDEs · Mathematics 2017-06-13 Dominik Dier , Moritz Kassmann , Rico Zacher

In this paper we consider a time-continuous random walk in $\mathbb{Z}^d$ in a dynamical random environment with symmetric jump rates to nearest neighbours. We assume that these random conductances are stationary and ergodic and, moreover,…

Probability · Mathematics 2025-10-08 Jean-Dominique Deuschel , Takashi Kumagai , Martin Slowik

The purpose of this paper is to find optimal estimates for the Green function and the Poisson kernel for a half-line and intervals of the geometric stable process with parameter $\alpha\in(0,2]$. This process has an infinitesimal generator…

Probability · Mathematics 2016-08-14 Tomasz Grzywny , Michał Ryznar

We investigate the equivalence of relative Faber-Krahn inequalities and the conjunction of Gaussian upper heat kernel bounds and volume doubling on large scales on graphs. For the normalizing measure, we obtain their equivalence up to…

Analysis of PDEs · Mathematics 2025-02-28 Christian Rose

The heat kernel expansion is a very convenient tool for studying one-loop divergences, anomalies and various asymptotics of the effective action. The aim of this report is to collect useful information on the heat kernel coefficients…

High Energy Physics - Theory · Physics 2008-11-26 D. V. Vassilevich

We present a stable characterization of on-diagonal upper bounds for heat kernels associated with regular Dirichlet forms on metric measure spaces satisfying the volume doubling property. Our conditions include integral bounds on the jump…

Analysis of PDEs · Mathematics 2025-01-14 Soobin Cho

In the sub-Riemannian manifolds, on the one hand, following Baudoin-Garofalo \cite{BaudoinGarofalo}, the upper bound for heat kernels associated to a class of locally subelliptic operators are given under the generalized curvature-dimension…

Mathematical Physics · Physics 2013-08-29 Huai Qian LI

The relation between the expectation values computed in the random walk theory, and the heat kernel method for the diffusion equation is explained concretely. The random walk is also realized by simulations and their statistical…

Statistical Mechanics · Physics 2024-05-21 Kenichiro Aoki , Takahisa Mitsui

In this paper, we first derive a Sobolev inequality along the harmonic-Ricci flow. We then prove a linear parabolic estimate based on the Sobolev inequality and Moser's iteration. As an application, we will obtain an upper bound estimate…

Differential Geometry · Mathematics 2015-03-02 Shouwen Fang , Tao Zheng

The heat kernel expansion on even-dimensional hyperbolic spaces is asymptotic at both short and long times, with interestingly different Borel properties for these short and long time expansions. Resummations in terms of incomplete gamma…

High Energy Physics - Theory · Physics 2023-05-31 Gerald V. Dunne

On a large class of Riemannian manifolds with boundary, some dimension-free Harnack inequalities for the Neumann semigroup is proved to be equivalent to the convexity of the boundary and a curvature condition. In particular, for $p_t(x,y)$…

Probability · Mathematics 2009-11-02 Feng-Yu Wang

In this paper, we first give a direct proof for two recurrence relations of the heat kernels for hyperbolic spaces in \cite{DM}. Then, by similar computation, we give two similar recurrence relations of the heat kernels for spheres.…

Differential Geometry · Mathematics 2018-07-17 Chengjie Yu , Feifei Zhao

In this paper we study interior potential-theoretic properties of purely discontinuous Markov processes in proper open subsets $D\subset \mathbb{R}^d$. The jump kernels of the processes may be degenerate at the boundary in the sense that…

Probability · Mathematics 2023-02-06 Panki Kim , Renming Song , Zoran Vondraček

In the current paper,under the transverse Ricci flow on a totally geodesic Riemannian foliation, we prove two types of differential Harnack inequalities (Li-Yau gradient estimate) for the positive solutions of the heat equation associated…

Differential Geometry · Mathematics 2018-07-31 Qi Feng

We consider admissible random walks on hyperbolic graphs. For a given harmonic function on such a graph, we prove that asymptotic properties of non-tangential boundedness and non-tangential convergence are almost everywhere equivalent. The…

Metric Geometry · Mathematics 2013-03-12 Camille Petit

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

This article investigates the heat kernel of the two-dimensional uniform spanning tree. We improve previous work by demonstrating the occurrence of log-logarithmic fluctuations around the leading order polynomial behaviour for the…

Probability · Mathematics 2021-04-09 Martin T. Barlow , David A. Croydon , Takashi Kumagai

In the context of countable groups of polynomial volume growth, we consider a large class of random walks that are allowed to take long jumps along multiple subgroups according to power law distributions. For such a random walk, we study…

Probability · Mathematics 2022-07-26 Zhen-Qing Chen , Takashi Kumagai , Laurent Saloff-Coste , Jian Wang , Tianyi Zheng

We investigate the equivalence of Sobolev inequalities and the conjunction of Gaussian upper heat kernel bounds and volume doubling on large scales on graphs. For the normalizing measure, we obtain their equivalence up to constants by…

Analysis of PDEs · Mathematics 2024-07-01 Matthias Keller , Christian Rose

Graph-structured data arise in wide applications, such as computer vision, bioinformatics, and social networks. Quantifying similarities among graphs is a fundamental problem. In this paper, we develop a framework for computing graph…

Machine Learning · Statistics 2018-09-11 Zhen Zhang , Mianzhi Wang , Yijian Xiang , Yan Huang , Arye Nehorai