Encounter-controlled coalescence and annihilation on a one-dimensional growing domain

F. Le Vot, C. Escudero, E. Abad, and S. B. Yuste
Phys. Rev. E 98, 032137 – Published 26 September 2018

Abstract

The kinetics of encounter-controlled processes in growing domains is markedly different from that in a static domain. Here we consider the specific example of diffusion-limited coalescence and annihilation reactions in one-dimensional space. In the static case, such reactions are among the few systems amenable to exact solution, which can be obtained by means of a well-known method of intervals. In the case of a uniformly growing domain, we show that a double transformation in time and space allows one to extend this method to compute the main quantities characterizing the spatial and temporal behavior. We show that a sufficiently fast domain growth brings about drastic changes in the behavior. In this case, the reactions stop prematurely, as a result of which the survival probability of the reacting particles tends to a finite value at long times and their spatial distribution freezes before reaching the fully self-ordered state. We obtain exact results for the survival probability and for key properties characterizing the degree of self-ordering induced by the chemical reactions, i.e., the interparticle distribution function and the pair correlation function. These results are confirmed by numerical simulations.

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  • Received 11 May 2018

DOI:https://doi.org/10.1103/PhysRevE.98.032137

©2018 American Physical Society

Physics Subject Headings (PhySH)

Statistical Physics & ThermodynamicsInterdisciplinary Physics

Authors & Affiliations

F. Le Vot1, C. Escudero2, E. Abad3, and S. B. Yuste1

  • 1Departamento de Física and Instituto de Computación Científica Avanzada, Universidad de Extremadura, 06071 Badajoz, Spain
  • 2Departamento de Matemáticas, Universidad Autónoma de Madrid and Instituto de Ciencias Matemáticas, Consejo Superior de Investigaciones Científicas, 28049 Madrid, Spain
  • 3Departamento de Física Aplicada and Instituto de Computación Científica Avanzada, Centro Universitario de Mérida, Universidad de Extremadura, 06800 Mérida, Spain

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Issue

Vol. 98, Iss. 3 — September 2018

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