On Convergence of 1D Markov Diffusions to Heavy-Tailed Invariant Density

Abstract

Rate of convergence is studied for a diffusion process on the half line with a nonsticky reflection to a heavy-tailed 1D invariant distribution which density on the half line has a polynomial decay at infinity. Starting from a standard receipt which guarantees some polynomial convergence, it is shown how to construct a new non-degenerate diffusion process on the half line which converges to the same invariant measure exponentially fast uniformly with respect to the initial data.