An Almost Sure Invariance Principle for Additive Functionals of Markov Chains

Mathematics – Probability

Scientific paper

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Scientific paper

We prove an invariance principle (functional central limit theorem) for a
vector-valued additive functional of a Markov chain for almost every starting
point with respect to an ergodic equilibrium distribution. The hypothesis is a
moment bound on the resolvent.

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