Exact Statistics of the Gap and Time Interval between the First Two Maxima of Random Walks and Levy Flights

被引:23
作者
Majumdar, Satya N. [1 ]
Mounaix, Philippe [2 ]
Schehr, Gregory [1 ]
机构
[1] Univ Paris 11, CNRS, LPTMS, F-91405 Orsay, France
[2] Ecole Polytech, CNRS, UMR 7644, Ctr Phys Theor, F-91128 Palaiseau, France
关键词
D O I
10.1103/PhysRevLett.111.070601
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We investigate the statistics of the gap G(n) between the two rightmost positions of a Markovian one-dimensional random walker (RW) after n time steps and of the duration L-n which separates the occurrence of these two extremal positions. The distribution of the jumps eta(i)'s of the RW, fd(eta), is symmetric and its Fourier transform has the small k behavior 1 - (f) over tilde (k) similar to vertical bar k vertical bar(mu), with 0 < mu <= 2. For mu = 2, the RW converges, for large n, to Brownian motion, while for 0 < mu < 2 it corresponds to a Levy flight of index mu. We compute the joint probability density function (PDF) P-n(g,l); of Gn and Ln and show that, when n -> infinity, it approaches a limiting PDF p(g, l). The corresponding marginal PDFs of the gap, p(gap)(g), and of L-n, p(time)(l), are found to behave like p(gap)(g) similar to g(-1-mu) for g >> 1 and 0 < mu < 2, and p(time)(l) similar to l(-gamma(mu)) for l >> 1 with gamma(1< mu <= 2) = 1 + 1/mu and (0< mu < 1) = 2. For l, g >> 1 with fixed lg(-mu), p(g, l) takes the scaling form p(g, l) similar to g(-1-2 mu) (p) over bar (mu)(y) is a (mu-dependent) scaling function. We also present numerical simulations which verify our analytic results.
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