Open Access
February 2017 Pointwise upper estimates for transition probabilities of continuous time random walks on graphs
Xinxing Chen
Ann. Inst. H. Poincaré Probab. Statist. 53(1): 27-45 (February 2017). DOI: 10.1214/15-AIHP707

Abstract

Let $X$ be a continuous time random walk on a weighted graph. Given the on-diagonal upper bounds of transition probabilities at two vertices $x_{1}$ and $x_{2}$, we obtain Gaussian upper estimates for the off-diagonal transition probability $\mathbb{P}_{x_{1}}(X_{t}=x_{2})$ in terms of an adapted metric introduced by Davies.

Soit $X$ une marche aléatoire à temps continu sur un graphe pondéré. Etant données des bornes supérieures sur la transition de probabilité diagonale en deux sommets $x_{1}$ et $x_{2}$, nous obtenons des estimées supérieures gaussiennes sur la transition de probabilité $\mathbb{P}_{x_{1}}(X_{t}=x_{2})$ (qui est en dehors de la diagonale) en termes d’une métrique adaptée introduite par Davies.

Citation

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Xinxing Chen. "Pointwise upper estimates for transition probabilities of continuous time random walks on graphs." Ann. Inst. H. Poincaré Probab. Statist. 53 (1) 27 - 45, February 2017. https://doi.org/10.1214/15-AIHP707

Information

Received: 22 April 2014; Revised: 21 July 2015; Accepted: 31 July 2015; Published: February 2017
First available in Project Euclid: 8 February 2017

zbMATH: 1361.60030
MathSciNet: MR3606733
Digital Object Identifier: 10.1214/15-AIHP707

Subjects:
Primary: 30K08 , 60G50

Keywords: Gaussian upper bound , heat kernel , Random walk , Transition probability

Rights: Copyright © 2017 Institut Henri Poincaré

Vol.53 • No. 1 • February 2017
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