- Editors' Suggestion
- Open Access
Souvenir collector's walk: The distribution of the number of steps of a continuous-time random walk ending at a given position
Phys. Rev. E 112, 024101 – Published 1 August, 2025
DOI: https://doi.org/10.1103/6j5n-bqcf
Abstract
We consider a random walker performing a continuous-time random walk (CTRW) with a symmetric step lengths' distribution possessing a finite second moment and with a power-law waiting time distribution with finite or diverging first moment. The problem we pose concerns the distribution of the number of steps of the corresponding CTRW conditioned on the final position of the walker at some long time . For positions within the scaling domain of the probability density function (PDF) of final displacements, the distributions of the number of steps show a considerable amount of universality, and are different in the cases when the corresponding CTRW corresponds to subdiffusion and to normal diffusion. We moreover note that the mean value of the number of steps can be obtained independently and follows from the solution of the Poisson equation whose right-hand side depends on the PDF of displacements only. This approach works not only in the scaling domain but also in the large deviation domain of the corresponding PDF, where the behavior of the mean number of steps is very sensitive to the details of the waiting time distribution beyond its power-law asymptotics.
Physics Subject Headings (PhySH)
Article Text
References (17)
- H. Scher and E. Montroll, Anomalous transit-time dispersion in amorphous solids, Phys. Rev. B 12, 2455 (1975).
- H. Scher, Continuous time random walk (CTRW) put to work, Eur. Phys. J. B 90, 252 (2017).
- R. Kutner and J. Masoliver, The continuous time random walk, still trendy: Fifty-year history, state of art and outlook, Eur. Phys. J. B 90, 50 (2017).
- F. Mainardi and G. Pagnini, J. Comput. Appl. Math. 207, 245 (2007).
- G. Pagnini, The M-Wright function as a generalization of the Gaussian density for fractional diffusion processes, Fract. Calc. Appl. Anal. 16, 436 (2013).
- A. Consiglio, Y. Luchko, and F. Mainardi, Some notes on the wright functions in probability theory, WSEAS Trans. Math. 18, 389 (2019).
- F. Mainardi, A tutorial on the basic special functions of fractional calculus, WSEAS Trans. Math. 19, 74 (2020).
- F. Mainardi and A. Consiglio, The wright functions of the second kind in mathematical physics, Mathematics 8, 884 (2020).
- J. Klafter and I. M. Sokolov, First Steps in Random Walks: From Tools to Applications, (Oxford University Press, Oxford, 2011).
- W. Feller, An Introduction to Probability Theory and Its Applications, (Wiley, Hoboken, 1971), Chap. XVII.3.
- E. Barkai and S. Burov, Packets of diffusing particles exhibit universal exponential tails, Phys. Rev. Lett. 124, 060603 (2020).
- W. Wang, E. Barkai, and S. Burov, Large deviations for continuous time random walks, Entropy 22, 697 (2020).
- A. Pacheco-Pozo and I. M. Sokolov, Large deviations in continuous-time random walks, Phys. Rev. E 103, 042116 (2021).
- K.-I. Sato, Lévy Processes and Infinitely Divisible Distributions (Cambridge University Press, Cambridge, UK, 2002).
- A. Chechkin and I. M. Sokolov, Relation between generalized diffusion equations and subordination schemes, Phys. Rev. E 103, 032133 (2021).
- A. Baule and R. Friedrich, Joint probability distributions for a class of non-Markovian processes, Phys. Rev. E 71, 026101 (2005).
- R. Gorenflo and F. Mainardi, Parametric subordination in fractional diffusion processes, in Fractional Dynamics, Recent Advances, edited by S. C. Lim, J. Klafter, and R. Metzler (World Scientific, Singapore, 2012), Chap. 10, pp. 229–263.