Multifractional, multistable, and other processes with prescribed local form
K. J. Falconer, Jacques Lévy Véhel
Abstract
K. J. Falconer, Jacques Lévy Véhel
Abstract
We present a general method for constructing stochastic processes with prescribed local form, encompassing examples such as variable amplitude multifractional Brownian and multifractional α-stable processes. We apply the method to Poisson sums to construct multistable processes, that is, processes that are locally α(t)-stable but where the stability index α(t) varies with t. In particular we construct multifractional multistable processes, where both the local self-similarity and stability indices vary.
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We present a general method for constructing stochastic processes with prescribed local form, encompassing examples such as variable amplitude multifractional Brownian and multifractional α-stable processes. We apply the method to Poisson sums to construct multistable processes, that is, processes that are locally α(t)-stable but where the stability index α(t) varies with t. In particular we construct multifractional multistable processes, where both the local self-similarity and stability indices vary.
Key concepts: Mathematics, Construct (python library), Stability (learning theory), Local time, Brownian motion, Similarity (geometry), Statistical physics, Applied mathematics