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Quasi-Stationary Distributions, Eigenmeasures, and Eigenfunctions of Markov Processes

Authors: Joseph Glover;

Quasi-Stationary Distributions, Eigenmeasures, and Eigenfunctions of Markov Processes

Abstract

Let Pt be a submarkov semigroup on a Lusin topological state space E with Borel field E. We call a positive sigma-finite measure m on E an eigenmeasure if mPt = e-ct m for some real number c. We call a positive E-measurable function f an eigenfunction if ptf = e-ctf for some real number c. In each case, we call c the eigenvalue of either the eigenmeasure or the eigenfunction. Eigenmeasures are also known by the name quasi-stationary distributions in the Markov chain literature: see [5], [17], [18].

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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