Ergodic properties of markov processes driven by a set of vector fields

DOI10.1080/17442508908833577zbMath0682.60056OpenAlexW2036028110MaRDI QIDQ4731925

Yali Amit

Publication date: 1989

Published in: Stochastics and Stochastic Reports (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/17442508908833577

zbMATH Keywords

invariant measureergodic decomposition

Mathematics Subject Classification ID

Continuous-time Markov processes on general state spaces (60J25) Discrete-time Markov processes on general state spaces (60J05) Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Ergodic theory (37A99)

Related Items (1)

A multiflow approximation to diffusions

Cites Work

• Stochastic differential equations and stochastic flows of diffeomorphisms
• Flows of stochastic dynamical systems: ergodic theory
• On unique ergodicity for degenerate diffusions

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