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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

We consider continuous time simple random walks with arbitrary speed measure $\theta$ on infinite weighted graphs. Write $p_t(x,y)$ for the heat kernel of this process. Given on-diagonal upper bounds for the heat kernel at two points…

Probability · Mathematics 2012-02-01 Matthew Folz

In this paper necessary and sufficient conditions are presented for heat kernel upper bounds for random walks on weighted graphs. Several equivalent conditions are given in the form of isoperimetric inequalities.

Probability · Mathematics 2008-01-16 Andras Telcs

In this paper, we derive upper bounds for the heat kernel of the simple random walk on the infinite cluster of a supercritical long range percolation process. For any $d \geq 1$ and for any exponent $s \in (d, (d+2) \wedge 2d)$ giving the…

Probability · Mathematics 2009-11-30 Nicholas Crawford , Allan Sly

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

We consider weighted graphs satisfying sub-Gaussian estimate for the natural random walk. On such graphs, we study symmetric Markov chains with heavy tailed jumps. We establish a threshold behavior of such Markov chains when the index…

Probability · Mathematics 2015-09-03 Mathav Murugan , Laurent Saloff-Coste

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

We consider on-diagonal heat kernel estimates and the laws of the iterated logarithms for a switch-walk-switch random walk on a lamplighter graph under the condition that the random walk on the underlying graph enjoys sub-Gaussian heat…

Probability · Mathematics 2016-10-07 Takashi Kumagai , Chikara Nakamura

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

Consider a random walk $S_n=\sum_{i=1}^n X_i$ with independent and identically distributed real-valued increments with zero mean, finite variance and moment of order $2 + \delta$ for some $\delta>0$. For any starting point $x\in \mathbb R$,…

Probability · Mathematics 2024-12-13 Ion Grama , Hui Xiao

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

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 study models of discrete-time, symmetric, $\Z^{d}$-valued random walks in random environments, driven by a field of i.i.d. random nearest-neighbor conductances $\omega_{xy}\in[0,1]$, with polynomial tail near 0 with exponent $\gamma>0$.…

Probability · Mathematics 2009-12-30 Omar Boukhadra

In this paper we study the transition densities for a large class of non-symmetric Markov processes whose jumping kernels decay exponentially or subexponentially. We obtain their upper bounds which also decay at the same rate as their…

Probability · Mathematics 2018-01-03 Panki Kim , Jaehun Lee

We consider learning on graphs, guided by kernels that encode similarity between vertices. Our focus is on random walk kernels, the analogues of squared exponential kernels in Euclidean spaces. We show that on large, locally treelike,…

Machine Learning · Statistics 2013-10-01 Matthew Urry , Peter Sollich

It is shown in this paper that the transition kernel corresponding to a spatially inhomogeneous random walk on ${\mathbf{Z}}^d$ admits upper and lower Gaussian estimates.

Probability · Mathematics 2007-05-23 Sami Mustapha

We study the trapping phenomenon of random walks in random environments of i.i.d. random conductances on the bonds of the grid $\mathbb{Z}^d$, the so-called random conductance model. Our main results concern the important model with…

Probability · Mathematics 2025-11-19 Omar Boukhadra

Kigami showed that a transient random walk on a deterministic infinite tree $T$ induces its trace process on the Martin boundary of $T$. In this paper, we will deal with trace processes on Martin boundaries of random trees instead of…

Probability · Mathematics 2019-02-13 Yuki Tokushige

We establish two-sided heat kernel estimates for random conductance models with non-uniformly elliptic (possibly degenerate) stable-like jumps on graphs. These are long range counterparts of well known two-sided Gaussian heat kernel…

Probability · Mathematics 2018-08-08 Xin Chen , Takashi Kumagai , Jian Wang

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
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