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Convergence of some time inhomogeneous Markov chains via spectral techniquesby: L. Saloff-Coste, J. Zuniga
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Notes for this articleBorel-Doeblin theorem (bounding the distance of incorrectly initialized inhomogenous Markov chain from invariant distribution)
Bounds on eigenvalues
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AbstractWe consider the problem of giving explicit spectral bounds for time inhomogeneous Markov chains on a finite state space. We give bounds that apply when there exists a probability [pi] such that each of the different steps corresponds to a nice ergodic Markov kernel with stationary measure [pi]. For instance, our results provide sharp bounds for models such as semi-random transpositions and semi-random insertions (in these cases [pi] is the uniform probability on the symmetric group).
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