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Related papers: Heat kernel estimates on book-like graphs

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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

Aim of this short note is to show that a dimension-free Harnack inequality on an infinitesimally Hilbertian metric measure space where the heat semigroup admits an integral representation in terms of a kernel is suffcient to deduce a sharp…

Probability · Mathematics 2019-07-17 Luca Tamanini

We prove sharp two-sided global estimates for the heat kernel associated with a Euclidean sphere of arbitrary dimension. This solves a long-standing open problem.

Classical Analysis and ODEs · Mathematics 2019-11-19 Adam Nowak , Peter Sjögren , Tomasz Z. Szarek

We prove genuinely sharp two-sided global estimates for heat kernels on all compact rank-one symmetric spaces. This generalizes the authors' recent result obtained for a Euclidean sphere of arbitrary dimension. Furthermore, similar heat…

Classical Analysis and ODEs · Mathematics 2022-09-09 Adam Nowak , Peter Sjögren , Tomasz Z. Szarek

We consider a quantum graph where the operator contains a potential. We show that this operator admits a heat kernel. Under some assumptions on the potential, this heat kernel admits an asymptotic expansion at t=0 with coefficients that…

Analysis of PDEs · Mathematics 2012-12-13 Ralf Rueckriemen

We propose a theoretical framework of multi-way similarity to model real-valued data into hypergraphs for clustering via spectral embedding. For graph cut based spectral clustering, it is common to model real-valued data into graph by…

Machine Learning · Computer Science 2022-08-17 Shota Saito

We establish Gaussian-type upper bounds on the heat kernel for a continuous-time random walk on a graph with unbounded weights under an ergodicity assumption. For the proof we use Davies' perturbation method, where we show a maximal…

Probability · Mathematics 2019-05-31 Sebastian Andres , Jean-Dominique Deuschel , Martin Slowik

In this paper, we study Li-Yau gradient estimates for the solutions $u$ to the heat equation $\partial_tu=\Delta u$ on graphs under the curvature condition $CD(n,-K)$ introduced by Bauer et al. in \cite{BHLLMY}. As applications, we derive…

Differential Geometry · Mathematics 2013-11-15 Bin Qian

It is shown that the heat kernel operator for the Laplace operator on any covariantly constant curved background, i.e. in symmetric spaces, may be presented in form of an averaging over the Lie group of isometries with some nontrivial…

High Energy Physics - Theory · Physics 2009-10-28 Ivan G. Avramidi

We establish a new formula for the heat kernel on regular trees in terms of classical I-Bessel functions. Although the formula is explicit, and a proof is given through direct computation, we also provide a conceptual viewpoint using the…

Combinatorics · Mathematics 2013-02-20 Gautam Chinta , Jay Jorgenson , Anders Karlsson

We study heat kernel estimates for symmetric pure jump processes on general metric measure spaces. Building on recent progress in the local setting due to S.~Eriksson-Bique, we develop a non-local version of the Whitney blending technique…

Probability · Mathematics 2026-02-09 Mathav Murugan

We consider a large class of symmetric pure jump Markov processes dominated by isotropic unimodal L\'evy processes with weak scaling conditions. First, we establish sharp two-sided heat kernel estimates for these processes in $C^{1,1}$ open…

Probability · Mathematics 2019-03-06 Tomasz Grzywny , Kyung-Youn Kim , Panki Kim

Results regarding off-diagonal Gaussian upper heat kernel bounds on discrete weighted graphs with possibly unbounded geometry are summarized and related. After reviewing uniform upper heat kernel bounds obtained by Carlen, Kusuoka, and…

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

In this paper, we consider the following symmetric non-local Dirichlet forms of pure jump type on metric measure space $(M,d,\mu)$: $$\mathcal{E}(f,g)=\int_{M\times M} (f(x)-f(y))(g(x)-g(y))\,J(dx,dy),$$ where $J(dx,dy)$ is a symmetric…

Probability · Mathematics 2019-08-22 Zhen-Qing Chen , Takashi Kumagai , Jian Wang

By the connection graph we mean an underlying weighted graph with a connection which associates edge set with an orthogonal group. This paper centers its investigation on the connection heat kernels on connection lattices and connection…

Combinatorics · Mathematics 2024-04-02 Yong Lin , Shi Wan

We study the existence and uniqueness of the heat kernel on infinite, locally finite, connected graphs. For general graphs, a uniqueness criterion, shown to be optimal, is given in terms of the maximal valence on spheres about a fixed…

Spectral Theory · Mathematics 2008-04-24 Radoslaw K. Wojciechowski

We show that the logarithmic derivatives of the convolution heat kernels on a uni-modular Lie group are exponentially integrable. This result is then used to prove an "integrated" Harnack inequality for these heat kernels. It is shown that…

Differential Geometry · Mathematics 2008-08-01 Bruce K. Driver , Maria Gordina

We derive Gaussian heat kernel bounds on graphs with respect to a fixed origin for large times under the assumption of a Sobolev inequality and volume doubling on large balls. The upper bound from our previous work [KR22] is affected by a…

Analysis of PDEs · Mathematics 2022-12-27 Matthias Keller , Christian Rose

Let $G$ be a simple, finite graph and let $p_t(x,y)$ denote the heat kernel on $G$. The purpose of this short note is to show that for $t \rightarrow 0^+$ $$ p_t(x,y) = \# \left\{\mbox{paths of…

Analysis of PDEs · Mathematics 2019-05-21 Stefan Steinerberger

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