Italo Cipriano, Natalia Jurga
Published 2019-07-08Version 1
We study fast approximation of integrals with respect to stationary probability measures associated to iterated functions systems on the unit interval. We provide an algorithm for approximating the integrals under certain conditions on the iterated function system and on the function that is being integrated. We apply this technique to estimate Hausdorff moments, Wasserstein distances and Lyapunov exponents of stationary probability measures.
Stationary probability measures on projective spaces 2: the critical case
Stationary probability measures on projective spaces for block-Lyapunov dominated systems
Physical measures for nonlinear random walks on interval
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