Wednesday, May 29, 2013

1305.6490 (Anthony Perret et al.)

Near-extreme statistics of Brownian motion    [PDF]

Anthony Perret, Alain Comtet, Satya N. Majumdar, Gregory Schehr
We study the statistics of near-extreme events of Brownian motion (BM) on the time interval [0,t]. We focus on the density of states (DOS) near the maximum \rho(r,t) which is the amount of time spent by the process at a distance r from the maximum. We develop a path integral approach to study functionals of the maximum of BM, which allows us to study the full probability density function (PDF) of \rho(r,t) and obtain an explicit expression for the moments, \langle [\rho(r,t)]^k \rangle, for arbitrary integer k. We also study near-extremes of constrained BM, like the Brownian bridge. Finally we also present numerical simulations to check our analytical results.
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