Escape Rate of Markov Chains on Infinite Graphs
Abstract We study the escape rate of continuous time symmetric Markov chains associated with weighted graphs. The upper rate functions are given in terms of volume growth of the weighted graphs. For a class of symmetric birth and death processes, we obtain sharp upper rate functions.
Gespeichert in:
| Autor*in: |
Huang, Xueping [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2012 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media New York 2012 |
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| Übergeordnetes Werk: |
Enthalten in: Journal of theoretical probability - Springer US, 1988, 27(2012), 2 vom: 09. Nov., Seite 634-682 |
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| Übergeordnetes Werk: |
volume:27 ; year:2012 ; number:2 ; day:09 ; month:11 ; pages:634-682 |
| Links: |
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| DOI / URN: |
10.1007/s10959-012-0456-x |
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OLC2053629185 |
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Abstract We study the escape rate of continuous time symmetric Markov chains associated with weighted graphs. The upper rate functions are given in terms of volume growth of the weighted graphs. For a class of symmetric birth and death processes, we obtain sharp upper rate functions. © Springer Science+Business Media New York 2012 |
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Abstract We study the escape rate of continuous time symmetric Markov chains associated with weighted graphs. The upper rate functions are given in terms of volume growth of the weighted graphs. For a class of symmetric birth and death processes, we obtain sharp upper rate functions. © Springer Science+Business Media New York 2012 |
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Abstract We study the escape rate of continuous time symmetric Markov chains associated with weighted graphs. The upper rate functions are given in terms of volume growth of the weighted graphs. For a class of symmetric birth and death processes, we obtain sharp upper rate functions. © Springer Science+Business Media New York 2012 |
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