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Computable bounds of an 𝓁²-spectral gap for discrete Markov chains with band transition matrices
Published online by Cambridge University Press: 24 October 2016
Abstract
We analyse the 𝓁²(𝜋)-convergence rate of irreducible and aperiodic Markov chains with N-band transition probability matrix P and with invariant distribution 𝜋. This analysis is heavily based on two steps. First, the study of the essential spectral radius r ess(P |𝓁²(𝜋)) of P |𝓁²(𝜋) derived from Hennion’s quasi-compactness criteria. Second, the connection between the spectral gap property (SG2) of P on 𝓁²(𝜋) and the V-geometric ergodicity of P. Specifically, the (SG2) is shown to hold under the condition α0≔∑m=−N N lim supi→+∞(P(i,i+m)P *(i+m,i)1∕2<1. Moreover, r ess(P |𝓁²(𝜋)≤α0. Effective bounds on the convergence rate can be provided from a truncation procedure.
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- Copyright © Applied Probability Trust 2016