Random walk on random walks

In this paper we study a random walk in a one-dimensional dynamic random environment consisting of a collection of independent particles performing simple symmetric random walks in a Poisson equilibrium with density ??(0,8). At each step the random walk performs a nearest-neighbour jump, moving to the right with probability p° when it is on a vacant site and probability p· when it is on an occupied site. Assuming that p°?(0,1) and p·?12, we show that the position of the random walk satisfies a strong law of large numbers, a functional central limit theorem and a large deviation bound, provided ? is large enough. The proof is based on the construction of a renewal structure together with a multiscale renormalisation argument.