Distribution of the time at which the deviation of a Brownian motion is maximum before its first-passage time
arXiv:0708.2101 · doi:10.1088/1742-5468/2007/10/P10008
Abstract
We calculate analytically the probability density of the time at which a continuous-time Brownian motion (with and without drift) attains its maximum before passing through the origin for the first time. We also compute the joint probability density of the maximum and . In the driftless case, we find that has power-law tails: for large and for small . In presence of a drift towards the origin, decays exponentially for large . The results from numerical simulations are in excellent agreement with our analytical predictions.
13 pages, 5 figures. Published in Journal of Statistical Mechanics: Theory and Experiment (J. Stat. Mech. (2007) P10008, doi:10.1088/1742-5468/2007/10/P10008)
References in corpus (1)
Cited by in corpus (14)
- On the time to reach maximum for a variety of constrained Brownian motions
- Generalized arcsine laws for fractional Brownian motion
- Extremal statistics for stochastic resetting systems
- Distribution of the time of the maximum for stationary processes
- Time to reach the maximum for a stationary stochastic process
- Maximum of N Independent Brownian Walkers till the First Exit From the Half Space
- Extremal statistics of a one dimensional run and tumble particle with an absorbing wall
- Joint statistics of space and time exploration of random walks
- Extremal statistics for a resetting Brownian motion before its first-passage time
- Extreme Value Statistics and Arcsine Laws of Brownian Motion in the Presence of a Permeable Barrier
- Generalized arcsine laws for a sluggish random walker with subdiffusive growth
- Extremal statistics for a one-dimensional Brownian motion with a reflective boundary
- Exact joint distributions of three global characteristic times for Brownian motion
- First-passage and extreme value statistics for overdamped Brownian motion in a linear potential