A Note on the Ergodicity of Markov Chains
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Abstract
Notions of stochastic kernels and norm defined on a σ-finite measure space (S, ℱ, μ) are introduced. To obtain a necessary and sufficient condition for ergodic behavior of inhomogeneous Markov chains with continuous states, the stochastic transition matrices in countable inhomogeneous Markov chains are replaced by stochastic transition kernels densities pn(x,y)n∈ℕ. And the ergodic behavior of inhomogeneous Markov chains is generalized.
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