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We study the heat content on quantum graphs and investigate whether an analogon of the Rayleigh-Faber-Krahn inequality holds. This means that heat content at time $T$ among graphs of equal volume would be maximized by intervals (the graph…

Spectral Theory · Mathematics 2025-01-17 Patrizio Bifulco , Matthias Täufer

We study the geometry associated to the Grusin operator G=\Delta_{x}+|x|^{2}\partial_{u}^{2} on \mathbb{R}_{x}^{n}\times\mathbb{R}_{u}, to obtain heat kernel estimates for this operator. The main work is to find the shortest geodesics…

Analysis of PDEs · Mathematics 2016-09-08 Martin Paulat

We analyze the heat kernel associated to the Laplacian on a compact metric graph, with standard Kirchoff-Neumann vertex conditions. An explicit formula for the heat kernel as a sum over loops, developed by Roth and Kostrykin, Potthoff, and…

Spectral Theory · Mathematics 2023-05-10 David Borthwick , Kenny Jones , Evans M. Harrell

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

It is well-known that stochastic processes on fractal spaces or in certain random media exhibit anomalous heat kernel behaviour. One manifestation of such irregular behaviour is the presence of fluctuations in the short- or long-time…

Probability · Mathematics 2023-10-18 Sebastian Andres , David Croydon , Takashi Kumagai

This paper introduces a novel, non-deterministic method for embedding data in low-dimensional Euclidean space based on computing realizations of a Gaussian process depending on the geometry of the data. This type of embedding first appeared…

Machine Learning · Computer Science 2024-03-14 Anna C. Gilbert , Kevin O'Neill

We study the boundary trace processes of reflected diffusions on uniform domains. We obtain stable-like heat kernel estimates for such a boundary trace process when the diffusion on the underlying ambient space satisfies sub-Gaussian heat…

Probability · Mathematics 2025-02-24 Naotaka Kajino , Mathav Murugan

We study infinite analogues of expander graphs, namely graphs where subgraphs weighted by heat kernels form an expander family. Our main result is that there does not exist any infinite expander in this sense. This proves the analogue for…

Combinatorics · Mathematics 2019-06-03 Mikolaj Fraczyk , Wouter van Limbeek

Random walk on changing graphs is considered. For sequences of finite graphs increasing monotonically towards a limiting infinite graph, we establish transition probability upper bounds. It yields sufficient transience criteria for simple…

Probability · Mathematics 2018-10-09 Ruojun Huang

We characterize Gaussian estimates for transition probability of a discrete time Markov chain in terms of geometric properties of the underlying state space. In particular, we show that the following are equivalent: (1) Two sided Gaussian…

Probability · Mathematics 2015-06-26 Mathav Murugan , Laurent Saloff-Coste

We use a Harnack-type inequality on exit times and spectral bounds to characterize upper bounds of the heat kernel associated with any regular Dirichlet form without killing part, where the scale function may vary with position. We further…

Probability · Mathematics 2025-09-03 Aobo Chen , Zhenyu Yu

We establish certain Gaussian type upper bound for the heat kernel of the conjugate heat equation associated with 3 dimensional ancient $\kappa$ solutions to the Ricci flow. As an application, using the $W$ entropy associated with the heat…

Differential Geometry · Mathematics 2009-02-21 Qi S. Zhang

The aim of this paper is threefold. First, we obtain the precise bounds for the heat kernel on isotropic Heisenberg groups by using well-known results in the three dimensional case. Second, we study the asymptotic estimates at infinity for…

Analysis of PDEs · Mathematics 2018-09-25 Hong-Quan Li , Ye Zhang

We consider the stochastic differential equation on $\mathbb{R}^d$ given by $$ \, \mathrm{d}X_t = b(t,X_t) \, \mathrm{d}t + \, \mathrm{d} B_t, $$ where $B$ is a Brownian motion and $b$ is considered to be a distribution of regularity $ >…

Probability · Mathematics 2026-05-14 Nicolas Perkowski , Willem van Zuijlen

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 focus on the heat kernel estimates for diffusions and jump processes on metric measure spaces satisfying a weak chain condition, where the length of a nearly shortest $\varepsilon$-chain between two points $x,y$ is…

Probability · Mathematics 2024-11-01 Guanhua Liu

We derive large time upper bounds for heat kernels on vector bundles of differential forms on a class of non-compact Riemannian manifolds under certain curvature conditions.

Differential Geometry · Mathematics 2007-05-23 Thierry Coulhon , Qi S. Zhang

We consider the operator associated to a random walk on finite volume surfaces with hyperbolic cusps. We study the spectral gap (upper and lower bound) associated to this operator and deduce some rate of convergence of the iterated kernel…

Spectral Theory · Mathematics 2015-05-19 Hans Christianson , Colin Guillarmou , Laurent Michel

In this paper, we consider a symmetric pure jump Markov process $X$ on a metric measure space with volume doubling conditions. Our focus is on estimating the transition density $p(t,x,y)$ of $X$ and studying its stability when the jumping…

Probability · Mathematics 2023-06-05 Joohak Bae , Jaehoon Kang , Panki Kim , Jaehun Lee

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
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