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Conditions for strong ergodicity using intensity matrices
25
Citations
14
References
1988
Year
Spectral TheoryEngineeringLeft EigenvectorsIntegrable ProbabilityStochastic ProcessesMarkov KernelSufficient ConditionsStochastic Dynamical SystemProbability TheoryPoisson BoundaryRandom MatrixStrong ErgodicityIntensity Matrices
Sufficient conditions for strong ergodicity of discrete-time non-homogeneous Markov chains have been given in several papers. Conditions have been given using the left eigenvectors ψ n of P n ( ψ n P n = ψ n ) and also using the limiting behavior of P n . In this paper we consider the analogous results in the case of continuous-time Markov chains where one uses the intensity matrices Q ( t ) instead of P ( s, t ). A bound on the rate of convergence of certain strongly ergodic chains is also given.
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