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An ergodic theorem of a parabolic Anderson model driven by Lévy noise

Yong Liu, Jianglun Wu, Fengxia Yang, Jianliang Zhai, Jiang-lun Wu Orcid Logo

Frontiers of Mathematics in China, Volume: 6, Issue: 6, Pages: 1147 - 1183

Swansea University Author: Jiang-lun Wu Orcid Logo

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Abstract

In this paper, we study an ergodic theorem of a parabolic Andersen model driven by Lévy noise. Under the assumption that A = (a(i, j))i,j∈S is symmetric with respect to a σ-finite measure gp, we obtain the long-time convergence to an invariant probability measure νh starting from a bounded nonnegati...

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Published in: Frontiers of Mathematics in China
ISSN: 1673-3452 1673-3576
Published: Berlin, Heidelberg Higher Education Press and Springer-Verlag 2011
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URI: https://cronfa.swan.ac.uk/Record/cronfa8021
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Abstract: In this paper, we study an ergodic theorem of a parabolic Andersen model driven by Lévy noise. Under the assumption that A = (a(i, j))i,j∈S is symmetric with respect to a σ-finite measure gp, we obtain the long-time convergence to an invariant probability measure νh starting from a bounded nonnegative A-harmonic function h based on self-duality property. Furthermore, under some mild conditions, we obtain the one to one correspondence between the bounded nonnegative A-harmonic functions and the extremal invariant probability measures with finite second moment of the nonnegative solution of the parabolic Anderson model driven by Lévy noise, which is an extension of the result of Y. Liu and F. X. Yang.
Keywords: Parabolic Anderson model, ergodic theorem, invariant measure, Lévy noise, self-duality.
College: Faculty of Science and Engineering
Issue: 6
Start Page: 1147
End Page: 1183