On the Behavior of the Invariant Measure of a Diffusion Process with Small Diffusion on a Circle
In this note we examine the behavior of the invariant measure $\mu _\varepsilon (v) = \int_v {p_\varepsilon } (x)dx$ of a Markov process, when the diffusion coefficient is a small parameter. In the case when the bounded dynamical system has an invariant measure with density $p_0 (x)$ we have shown t...
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Veröffentlicht in: | Theory of probability and its applications 1964-01, Vol.9 (1), p.125-131 |
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creator | Nevel’son, M. B. |
description | In this note we examine the behavior of the invariant measure $\mu _\varepsilon (v) = \int_v {p_\varepsilon } (x)dx$ of a Markov process, when the diffusion coefficient is a small parameter. In the case when the bounded dynamical system has an invariant measure with density $p_0 (x)$ we have shown that $\lim _{\varepsilon \to 0} p_\varepsilon (x) = p_0 (x)$. We have investigated the case when the bounded dynamical system has a stable position. Theorem 3 allows one to find the points in which the whole measure $\mu _\varepsilon (v)$ is concentrated as $\varepsilon \to 0$. |
doi_str_mv | 10.1137/1109016 |
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B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>On the Behavior of the Invariant Measure of a Diffusion Process with Small Diffusion on a Circle</atitle><jtitle>Theory of probability and its applications</jtitle><date>1964-01</date><risdate>1964</risdate><volume>9</volume><issue>1</issue><spage>125</spage><epage>131</epage><pages>125-131</pages><issn>0040-585X</issn><eissn>1095-7219</eissn><abstract>In this note we examine the behavior of the invariant measure $\mu _\varepsilon (v) = \int_v {p_\varepsilon } (x)dx$ of a Markov process, when the diffusion coefficient is a small parameter. In the case when the bounded dynamical system has an invariant measure with density $p_0 (x)$ we have shown that $\lim _{\varepsilon \to 0} p_\varepsilon (x) = p_0 (x)$. We have investigated the case when the bounded dynamical system has a stable position. Theorem 3 allows one to find the points in which the whole measure $\mu _\varepsilon (v)$ is concentrated as $\varepsilon \to 0$.</abstract><cop>Philadelphia</cop><pub>Society for Industrial and Applied Mathematics</pub><doi>10.1137/1109016</doi><tpages>7</tpages></addata></record> |
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language | eng |
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source | LOCUS - SIAM's Online Journal Archive |
subjects | Dynamical systems Neighborhoods Stochastic models Theorems Translations |
title | On the Behavior of the Invariant Measure of a Diffusion Process with Small Diffusion on a Circle |
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