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Start Over Descriptor "symmetric Markov process" Publisher american mathematical society
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1. A TIGHTNESS PROPERTY OF A SYMMETRIC MARKOV PROCESS AND THE UNIFORM LARGE DEVIATION PRINCIPLE.

Author

MASAYOSHI TAKEDA

Subjects
*MARKOV processes, *LARGE deviation theory, *RESOLVENTS (Mathematics), *LARGE deviations (Mathematics), *PROBABILITY theory
Abstract

Previously, we considered a large deviation for occupation measures of a symmetric Markov processes under the condition that its resolvent possesses a kind of tightness property. In this paper, we prove that if the Markov process is conservative, then the tightness property implies the uniform hyper-exponential recurrence, which leads us to the uniform large deviation principle. [ABSTRACT FROM AUTHOR]

Published
2013
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