Exact enumeration approach to first-passage time distribution of non-Markov random walks
arXiv:1906.02081 · doi:10.1103/PhysRevE.99.062101
Abstract
We propose an analytical approach to study non-Markov random walks by employing an exact enumeration method. Using the method, we derive an exact expansion for the first-passage time (FPT) distribution for any continuous, differentiable non-Markov random walk with Gaussian or non-Gaussian multivariate distribution. As an example, we study the FPT distribution of a fractional Brownian motion with a Hurst exponent that describes numerous non-Markov stochastic phenomena in physics, biology and geology, and for which the limit represents a Markov process.
23 pages, 4 figures, 1 table and 5 appendices. Published version
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