arXiv Analytics

Sign in

arXiv:1909.05594 [cond-mat.stat-mech]AbstractReferencesReviewsResources

Time between the maximum and the minimum of a stochastic process

Francesco Mori, Satya N. Majumdar, Gregory Schehr

Published 2019-09-12Version 1

We present an exact solution for the probability density function $P(\tau=t_{\min}-t_{\max}|T)$ of the time-difference between the minimum and the maximum of a one-dimensional Brownian motion of duration $T$. We then generalise our results to a Brownian bridge, i.e. a periodic Brownian motion of period $T$. We demonstrate that these results can be directly applied to study the position-difference between the minimal and the maximal height of a fluctuating $(1+1)$-dimensional Kardar-Parisi-Zhang interface on a substrate of size $L$, in its stationary state. We show that the Brownian motion result is universal and, asymptotically, holds for any discrete-time random walk with a finite jump variance. We also compute this distribution numerically for L\'evy flights and find that it differs from the Brownian motion result.

Comments: Main text: 5 pages + 3 Figs, Supp. Mat.: 20 pages + 7 Figs
Related articles: Most relevant | Search more
Path-reversal, Doi-Peliti generating functionals, and dualities between dynamics and inference for stochastic processes
Asymptotic equivalence of probability measures and stochastic processes
Probability density function of the unbalanced impulse in Langevin theory of Brownian motion