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Existence and uniqueness of quasi-stationary distributions for symmetric Markov processes with tightness property - MaRDI portal

Existence and uniqueness of quasi-stationary distributions for symmetric Markov processes with tightness property (Q2330420)

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Existence and uniqueness of quasi-stationary distributions for symmetric Markov processes with tightness property
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    Existence and uniqueness of quasi-stationary distributions for symmetric Markov processes with tightness property (English)
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    22 October 2019
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    Consider a symmetric Markov process \(X\) with finite life time \(\xi\). It is assumed that the process is irreducible and strong Feller, and possesses a certain tightness property. A measure \(\nu\) is called a quasi-stationary distribution of \(X\) if for all Borel sets \(B\) \(\nu(B) = \mathbb{P}[X_t \in B \mid t < \xi]\). The main result is the determination of a quasi-stationary distribution that turns out to be unique
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    quasi-stationary distribution
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    symmetric Markov process
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    Dirichlet form
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    Yaglom limit
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    tightness
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