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For any graph having a suitable uniform Poincare inequality and volume growth regularity, we establish two-sided Gaussian transition density estimates and parabolic Harnack inequality, for constant speed continuous time random walks…

Probability · Mathematics 2018-12-04 Amir Dembo , Ruojun Huang , Tianyi Zheng

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

We prove upper bounds on the transition probabilities of random walks with i.i.d. random conductances with a polynomial lower tail near $0$. We consider both constant and variable speed models. Our estimates are sharp. As a consequence, we…

Probability · Mathematics 2015-06-30 Omar Boukhadra , Takashi Kumagai , Pierre Mathieu

In this paper characterizations of graphs satisfying heat kernel estimates for a wide class of space-time scaling functions are given. The equivalence of the two-sided heat kernel estimate and the parabolic Harnack inequality is also shown…

Probability · Mathematics 2007-05-23 Andras Telcs

We consider the random walk on supercritical percolation clusters in the d-dimensional Euclidean lattice. Previous papers have obtained Gaussian heat kernel bounds, and a.s. invariance principles for this process. We show how this…

Probability · Mathematics 2008-10-15 Martin Barlow , Ben Hambly

We establish elliptic and parabolic Harnack inequalities on graphs with unbounded weights. As an application we prove a local limit theorem for a continuous time random walk $X$ in an environment of ergodic random conductances taking values…

Probability · Mathematics 2019-01-17 Sebastian Andres , Jean-Dominique Deuschel , Martin Slowik

We consider time-dependent random walks among time-dependent conductances. For discrete time random walks, we show that, unlike the time-independent case, two-sided Gaussian heat kernel estimates are not stable under perturbations. This is…

Probability · Mathematics 2015-10-21 Ruojun Huang , Takashi Kumagai

In this paper, we prove two-sided heat kernel estimates on what we call "book-like" graphs. These are graphs consisting of pieces that satisfy the parabolic Harnack inequality that are glued together in a sufficiently nice way over a…

Probability · Mathematics 2026-03-06 Emily Dautenhahn , Laurent Saloff-Coste

We establish heat kernel upper bounds for a continuous-time random walk under unbounded conductances satisfying an integrability assumption, where we correct and extend recent results by the authors to a general class of speed measures. The…

Probability · Mathematics 2019-01-17 Sebastian Andres , Jean-Dominique Deuschel , Martin Slowik

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

We establish general estimates for simple random walk on an arbitrary infinite random graph, assuming suitable bounds on volume and effective resistance for the graph. These are generalizations of the results in \cite[Section 1,2]{BJKS},…

Probability · Mathematics 2008-08-01 Takashi Kumagai , Jun Misumi

In this paper we show that two-sided heat kernel estimates for a class of (not necessarily symmetric) diffusions with jumps are stable under non-local Feynman-Kac perturbations.

Probability · Mathematics 2017-02-16 Zhen-Qing Chen , Lidan Wang

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

In this paper, we establish stability of parabolic Harnack inequalities for symmetric non-local Dirichlet forms on metric measure spaces under general volume doubling condition. We obtain their stable equivalent characterizations in terms…

Probability · Mathematics 2020-06-19 Zhen-Qing Chen , Takashi Kumagai , Jian Wang

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 the quenched local limit theorem for reversible random walk on $\Z^d$ (with $d\ge 2$) among stationary ergodic random conductances that permit jumps of arbitrary length. The proof is based on the weak parabolic Harnack…

Probability · Mathematics 2024-04-11 Xin Chen , Takashi Kumagai , Jian Wang

We consider metric graphs with Kirchhoff boundary conditions. We study the intrinsic metric, volume doubling and a Poincar\'e inequality. This enables us to prove a parabolic Harnack inequality. The proof involves various techniques from…

Mathematical Physics · Physics 2011-01-18 Sebastian Haeseler

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

Sub-Gaussian estimates for the natural random walk is typical of many regular fractal graphs. Subordination shows that there exist heavy tailed jump processes whose jump indices are greater than or equal to two. However, the existing…

Probability · Mathematics 2018-03-13 Mathav Murugan , Laurent Saloff-Coste

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
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