Geometrical optics of first-passage functionals of random acceleration
arXiv:2302.04029 · doi:10.1103/PhysRevE.107.064122
Abstract
Random acceleration is a fundamental stochastic process encountered in many applications. In the one-dimensional version of the process a particle is randomly accelerated according to the Langevin equation , where is the particle's coordinate, is Gaussian white noise with zero mean, and is the particle velocity diffusion constant. Here we evaluate the tail of the distribution of the functional , where is the first-passage time of the particle from a specified point to the origin, and . We employ the optimal fluctuation method akin to geometrical optics. Its crucial element is determination of the optimal path -- the most probable realization of the random acceleration process , conditioned on specified , and . This realization dominates the probability distribution . We show that the tail of this distribution has a universal essential singularity, , where is an -dependent number which we calculate analytically for and and numerically for other . For our result agrees with the asymptotic of the previously found first-passage time distribution.
7 pages, 3 figures
References in corpus (2)
Cited by in corpus (7)
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