Searching for a one-dimensional random walker

1974 ◽  
Vol 11 (1) ◽  
pp. 86-93 ◽  
Author(s):  
Bernard J. McCabe

Let {xk}k ≧ − r be a simple Bernoulli random walk with x–r = 0. An integer valued threshold ϕ = {ϕk}k≧1 is called a search plan if |ϕk+1−ϕk|≦1 for all k ≧ 1. If ϕ is a search plan let τϕ be the smallest integer k such that x and ϕ cross or touch at k. We show the existence of a search plan ϕ such that ϕ1 = 0, the definition of ϕ does not depend on r, and the first crossing time τϕ has finite mean (and in fact finite moments of all orders). The analogous problem for the Wiener process is also solved.

1974 ◽  
Vol 11 (01) ◽  
pp. 86-93 ◽  
Author(s):  
Bernard J. McCabe

Let {xk } k ≧ − r be a simple Bernoulli random walk with x –r = 0. An integer valued threshold ϕ = {ϕ k } k≧1 is called a search plan if |ϕ k+1−ϕ k |≦1 for all k ≧ 1. If ϕ is a search plan let τϕ be the smallest integer k such that x and ϕ cross or touch at k. We show the existence of a search plan ϕ such that ϕ 1 = 0, the definition of ϕ does not depend on r, and the first crossing time τϕ has finite mean (and in fact finite moments of all orders). The analogous problem for the Wiener process is also solved.


1990 ◽  
Vol 27 (01) ◽  
pp. 102-114 ◽  
Author(s):  
A. Buonocore ◽  
V. Giorno ◽  
A. G. Nobile ◽  
L. M. Ricciardi

The first-crossing-time problem through two time-dependent boundaries for one-dimensional diffusion processes is considered. The first-crossing p.d.f.'s from below and from above are proved to satisfy a new system of Volterra integral equations of the second kind involving two arbitrary continuous functions. By a suitable choice of such functions a system of continuous-kernel integral equations is obtained and an efficient algorithm for its solution is provided. Finally, conditions on the drift and infinitesimal variance of the diffusion process are given such that the system of integral equations reduces to a non-singular single integral equation for the first-crossing-time p.d.f.


2016 ◽  
Vol 195 ◽  
pp. 345-364 ◽  
Author(s):  
Georg Menzl ◽  
Andreas Singraber ◽  
Christoph Dellago

Mechanisms of rare transitions between long-lived stable states are often analyzed in terms of commitment probabilities, determined from swarms of short molecular dynamics trajectories. Here, we present a computer simulation method to determine rate constants from such short trajectories combined with free energy calculations. The method, akin to the Bennett–Chandler approach for the calculation of reaction rate constants, requires the definition of a valid reaction coordinate and can be applied to both under- and overdamped dynamics. We verify the correctness of the algorithm using a one-dimensional random walker in a double-well potential and demonstrate its applicability to complex transitions in condensed systems by calculating cavitation rates for water at negative pressures.


1990 ◽  
Vol 27 (1) ◽  
pp. 102-114 ◽  
Author(s):  
A. Buonocore ◽  
V. Giorno ◽  
A. G. Nobile ◽  
L. M. Ricciardi

The first-crossing-time problem through two time-dependent boundaries for one-dimensional diffusion processes is considered. The first-crossing p.d.f.'s from below and from above are proved to satisfy a new system of Volterra integral equations of the second kind involving two arbitrary continuous functions. By a suitable choice of such functions a system of continuous-kernel integral equations is obtained and an efficient algorithm for its solution is provided. Finally, conditions on the drift and infinitesimal variance of the diffusion process are given such that the system of integral equations reduces to a non-singular single integral equation for the first-crossing-time p.d.f.


1995 ◽  
Vol 32 (2) ◽  
pp. 316-336 ◽  
Author(s):  
A. G. Di Crescenzo ◽  
V. Giorno ◽  
A. G. Nobile ◽  
L. M. Ricciardi

The method earlier introduced for one-dimensional diffusion processes [6] is extended to obtain closed form expressions for the transition p.d.f.'s of two-dimensional diffusion processes in the presence of absorbing boundaries and for the first-crossing time p.d.f.'s through such boundaries. Use of such a method is finally made to analyse a two-dimensional linear process.


1992 ◽  
Vol 24 (2) ◽  
pp. 441-454 ◽  
Author(s):  
A. Di Crescenzo ◽  
V. Giorno ◽  
A. G. Nobile

For a two-dimensional random walk {X (n) = (X(n)1, X(n)2)T, n ∈ ℕ0} with correlated components the first-crossing-time probability problem through unit-slope straight lines x2 = x1 - r(r = 0,1) is analysed. The p.g.f.'s for the first-crossing-time probabilities are expressed as solutions of a fourth-degree algebraic equation and are then exploited to obtain the first-crossing-time probabilities. Several additional results, including the mean first-crossing time and the probability of ultimate crossing, are also given.


1991 ◽  
Vol 69 (10) ◽  
pp. 1284-1285
Author(s):  
Amal K. Das

We address a nonstandard random-walk problem in which the random walker, a Brownian particle, enters a linear chain at x = 0 and exits at x = L under the constraint that allows the particle to return to an arbitrarily close neighbourhood of the entrance point, but does not allow the entrance point to be touched back. In the diffusion approximation, the traversal time T*, calculated in an unconventional way, is found to be T/3, where T is the usual diffusion traversal time, L2/2D, D being the diffusion coefficient.


1992 ◽  
Vol 24 (02) ◽  
pp. 441-454
Author(s):  
A. Di Crescenzo ◽  
V. Giorno ◽  
A. G. Nobile

For a two-dimensional random walk {X (n) = (X(n) 1, X(n) 2 )T, n ∈ ℕ0} with correlated components the first-crossing-time probability problem through unit-slope straight lines x 2 = x 1 - r(r = 0,1) is analysed. The p.g.f.'s for the first-crossing-time probabilities are expressed as solutions of a fourth-degree algebraic equation and are then exploited to obtain the first-crossing-time probabilities. Several additional results, including the mean first-crossing time and the probability of ultimate crossing, are also given.


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