On Mixing Properties of Reversible Markov Chains
classification
🧮 math.PR
keywords
conditionmarkovmixingchainsequivalentreversiblechainclass
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It is well known that for a strictly stationary, reversible, Harris recurrent Markov chain, the $\rho$-mixing condition is equivalent to geometric ergodicity and to a "spectral gap" condition. In this note, it will be shown with an example that for that class of Markov chains, the "interlaced" variant of the $\rho$-mixing condition fails to be equivalent to those conditions.
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