Decomposition of random walk measures on the one-dimensional torus

Abstract

The main result of this paper is a decomposition theorem for a measure on the one-dimensional torus. Given a sufficiently large subset $S$ of the positive integers, an arbitrary measure on the torus is decomposed as the sum of two measures. The first one ${\mu }_1$ has the property that the random walk with initial distribution ${\mu }_1$ evolved by the action of $S$ equidistributes very fast. The second measure ${\mu }_2$ in the decomposition is concentrated on very small neighborhoods of a small number of points.