First-passage properties of mortal random walks: Ballistic behavior, effective reduction of dimensionality, and scaling functions for hierarchical graphs

V. Balakrishnan, E. Abad, Tim Abil, and John J. Kozak
Phys. Rev. E 99, 062110 – Published 10 June 2019

Abstract

We consider a mortal random walker on a family of hierarchical graphs in the presence of some trap sites. The configuration comprising the graph, the starting point of the walk, and the locations of the trap sites is taken to be exactly self-similar as one goes from one generation of the family to the next. Under these circumstances, the total probability that the walker hits a trap is determined exactly as a function of the single-step survival probability q of the mortal walker. On the nth generation graph of the family, this probability is shown to be given by the nth iterate of a certain scaling function or map qf(q). The properties of the map then determine, in each case, the behavior of the trapping probability, the mean time to trapping, the temporal scaling factor governing the random walk dimension on the graph, and other related properties. The formalism is illustrated for the cases of a linear hierarchical lattice and the Sierpinski graphs in two and three Euclidean dimensions. We find an effective reduction of the random walk dimensionality due to the ballistic behavior of the surviving particles induced by the mortality constraint. The relevance of this finding for experiments involving travel times of particles in diffusion-decay systems is discussed.

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  • Received 29 January 2019
  • Revised 17 May 2019

DOI:https://doi.org/10.1103/PhysRevE.99.062110

©2019 American Physical Society

Physics Subject Headings (PhySH)

Statistical Physics & Thermodynamics

Authors & Affiliations

V. Balakrishnan1,*, E. Abad2,†, Tim Abil3,‡, and John J. Kozak4,§

  • 1Department of Physics, Indian Institute of Technology Madras Chennai 600 036, India
  • 2Departamento de Física Aplicada and Instituto de Computación Científica Avanzada (ICCAEx) Centro Universitario de Mérida, Universidad de Extremadura, E-06800 Mérida, Spain
  • 3College of Computing and Digital Media DePaul University, 243 South Wabash, Chicago, Illinois 60604-2301, USA
  • 4Department of Chemistry DePaul University, Chicago, Illinois 6604-6116, USA

  • *vbalki@physics.iitm.ac.in
  • eabad@unex.es
  • tim.abilzade@gmail.com
  • §kozak@depaul.edu

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Vol. 99, Iss. 6 — June 2019

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