arXiv · 1112.3776
Iterating Brownian motions, ad libitum
Abstract
Let B_1,B_2, ... be independent one-dimensional Brownian motions defined over the whole real line such that B_i(0)=0. We consider the nth iterated Brownian motion W_n(t)= B_n(B_{n-1}(...(B_2(B_1(t)))...)). Although the sequences of processes (W_n) do not converge in a functional sense, we prove that the finite-dimensional marginals converge. As a consequence, we deduce that the random occupation measures of W_n converge towards a random probability measure μ_\infty. We then prove that μ_\infty almost surely has a continuous density which must be thought of as the local time process of the infinite iteration of independent Brownian motions.
Explore related subjects
Keep this discovery
Nicolas Curien, Takis Konstantopoulos. 2011-12-16. Iterating Brownian motions, ad libitum. https://arxiv.org/abs/1112.3776
Cite the original work for its findings. Save a collection to share your selection of sources.