English

Time between the maximum and the minimum of a stochastic process

Statistical Mechanics 2020-04-20 v3 Mathematical Physics math.MP Probability

Abstract

We present an exact solution for the probability density function P(τ=tmintmaxT)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 TT. We then generalise our results to a Brownian bridge, i.e. a periodic Brownian motion of period TT. 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)(1+1)-dimensional Kardar-Parisi-Zhang interface on a substrate of size LL, 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.

Keywords

Cite

@article{arxiv.1909.05594,
  title  = {Time between the maximum and the minimum of a stochastic process},
  author = {Francesco Mori and Satya N. Majumdar and Gregory Schehr},
  journal= {arXiv preprint arXiv:1909.05594},
  year   = {2020}
}

Comments

Main text (published version): 5 pages + 3 Figs, Supp. Mat.: 20 pages + 7 Figs, typos corrected

R2 v1 2026-06-23T11:13:21.383Z