Spectral Analysis of hypoelliptic random walks
classification
🧮 math.AP
math.PR
keywords
hypoellipticrandomwalkassociatedconvergencespectralanalysisbounds
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We study the spectral theory of a reversible Markov chain associated to a hypoelliptic random walk on a manifold M. This random walk depends on a parameter h which is roughly the size of each step of the walk. We prove uniform bounds with respect to h on the rate of convergence to equilibrium, and the convergence when h goes to zero to the associated hypoelliptic diffusion.
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