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We determine the decay rate of the bottom crossing probability for symmetric jump processes under the condition on heat kernel estimates. Our results are applicable to symmetric stable-like processes and stable-subordinated diffusion…

Probability · Mathematics 2016-12-15 Yuichi Shiozawa

In this paper, we focus on strongly local regular Dirichlet forms, especially those satisfying Morrey-type inequalities. We prove the equivalence between resistance estimates and heat kernel estimates in this case. Self-similar forms on…

Analysis of PDEs · Mathematics 2026-04-07 Diwen Chang , Guanhua Liu

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

In this article we establish the optimal $C^s$ boundary regularity for solutions to nonlocal parabolic equations in divergence form in $C^{1,\alpha}$ domains and prove a higher order boundary Harnack principle in this setting. Our approach…

Analysis of PDEs · Mathematics 2025-12-02 Philipp Svinger , Marvin Weidner

Wavelet bases and frames consisting of band limited functions of nearly exponential localization on Rd are a powerful tool in harmonic analysis by making various spaces of functions and distributions more accessible for study and…

Functional Analysis · Mathematics 2012-06-05 Thierry Coulhon , Gerard Kerkyacharian , Pencho Petrushev

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

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

We introduce and study a family of Markov processes on partitions. The processes preserve the so-called z-measures on partitions previously studied in connection with harmonic analysis on the infinite symmetric group. We show that the…

Mathematical Physics · Physics 2007-05-23 Alexei Borodin , Grigori Olshanski

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

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

We prove existence of boundary limits of ratios of positive harmonic functions for a wide class of Markov processes with jumps and irregular domains, in the context of general metric measure spaces. As a corollary, we prove uniqueness of…

Probability · Mathematics 2015-09-21 Tomasz Juszczyszyn , Mateusz Kwaśnicki

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

We show a diffusive upper bound on the transition probability of a tagged particle in the symmetric simple exclusion process. The proof relies on optimal spectral gap estimates for the dynamics in finite volume, which are of independent…

Probability · Mathematics 2018-04-27 Arianna Giunti , Yu Gu , Jean-Christophe Mourrat

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

Under some mild assumptions on the Levy measure and the symbol we obtain gradient estimates of Dirichlet heat kernels for pure-jump isotropic unimodal Levy processes in $R^d$.

Probability · Mathematics 2016-05-06 Tadeusz Kulczycki , Michal Ryznar

We consider a metric measure space with a local regular Dirichlet form. We establish necessary and sufficient conditions for upper heat kernel bounds with sub-diffusive space-time exponent to hold. This characterization is stable under…

Probability · Mathematics 2015-03-17 Sebastian Andres , Martin T. Barlow

Using time dependent Lyapunov functions, we prove pointwise upper bounds for the heat kernels of some nonautonomous Kolmogorov operators with possibly unbounded drift and diffusion coefficients and a possibly unbounded potential term.

Analysis of PDEs · Mathematics 2014-01-13 Markus Kunze , Luca Lorenzi , Abdelaziz Rhandi

In this paper we discuss non-local operators with killing potentials, which may not be in the standard Kato class. We first discuss factorization of their Dirichlet heat kernels in metric measure spaces. Then we establish explicit estimates…

Probability · Mathematics 2020-06-30 Soobin Cho , Panki Kim , Renming Song , Zoran Vondraček

We establish dimension-independent estimates related to heat operators e^{tL} on manifolds. We first develop a very general contractivity result for Markov kernels which can be applied to diffusion semigroups. Second, we develop estimates…

Differential Geometry · Mathematics 2014-12-12 Brian C. Hall , Matthew Cecil

Using time dependent Lyapunov functions, we prove pointwise upper bounds for the heat kernels of some nonautonomous Kolmogorov operators with possibly unbounded drift and diffusion coefficients.

Analysis of PDEs · Mathematics 2013-08-09 M. Kunze , L. Lorenzi , A. Rhandi

The paper studies an improved estimate for the rate of convergence for nonlinear homogeneous discrete-time Markov chains. These processes are nonlinear in terms of the distribution law. Hence, the transition kernels are dependent on the…

Probability · Mathematics 2021-05-21 Aleksandr Shchegolev