Distribution of the Time Between Maximum and Minimum of Random Walks
arXiv:2002.12352 · doi:10.1103/PhysRevE.101.052111
Abstract
We consider a one-dimensional Brownian motion of fixed duration . Using a path-integral technique, we compute exactly the probability distribution of the difference between the time of the global minimum and the time of the global maximum. We extend this result to a Brownian bridge, i.e. a periodic Brownian motion of period . In both cases, we compute analytically the first few moments of , as well as the covariance of and , showing that these times are anti-correlated. We demonstrate that the distribution of for Brownian motion is valid for discrete-time random walks with steps and with a finite jump variance, in the limit . In the case of Lévy flights, which have a divergent jump variance, we numerically verify that the distribution of differs from the Brownian case. For random walks with continuous and symmetric jumps we numerically verify that the probability of the event "" is exactly for any finite , independently of the jump distribution. Our results can be also applied to describe the distance between the maximal and minimal height of -dimensional stationary-state Kardar-Parisi-Zhang interfaces growing over a substrate of finite size . Our findings are confirmed by numerical simulations. Some of these results have been announced in a recent Letter [Phys. Rev. Lett. 123, 200201 (2019)].
arXiv comment33 pages, 12 figures. This is a longer version of arXiv:1909.05594, published in Physical Review Letters. Typos corrected
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