Stationary mass distribution and nonlocality in models of coalescence and shattering

Colm Connaughton, Arghya Dutta, R. Rajesh, Nana Siddharth, and Oleg Zaboronski
Phys. Rev. E 97, 022137 – Published 21 February 2018

Abstract

We study the asymptotic properties of the steady state mass distribution for a class of collision kernels in an aggregation-shattering model in the limit of small shattering probabilities. It is shown that the exponents characterizing the large and small mass asymptotic behavior of the mass distribution depend on whether the collision kernel is local (the aggregation mass flux is essentially generated by collisions between particles of similar masses) or nonlocal (collision between particles of widely different masses give the main contribution to the mass flux). We show that the nonlocal regime is further divided into two subregimes corresponding to weak and strong nonlocality. We also observe that at the boundaries between the local and nonlocal regimes, the mass distribution acquires logarithmic corrections to scaling and calculate these corrections. Exact solutions for special kernels and numerical simulations are used to validate some nonrigorous steps used in the analysis. Our results show that for local kernels, the scaling solutions carry a constant flux of mass due to aggregation, whereas for the nonlocal case there is a correction to the constant flux exponent. Our results suggest that for general scale-invariant kernels, the universality classes of mass distributions are labeled by two parameters: the homogeneity degree of the kernel and one further number measuring the degree of the nonlocality of the kernel.

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  • Received 5 October 2017

DOI:https://doi.org/10.1103/PhysRevE.97.022137

©2018 American Physical Society

Physics Subject Headings (PhySH)

Statistical Physics & Thermodynamics

Authors & Affiliations

Colm Connaughton1,2,3,*, Arghya Dutta4,†, R. Rajesh5,6,‡, Nana Siddharth5,6,§, and Oleg Zaboronski1,∥

  • 1Mathematics Institute, University of Warwick, Gibbet Hill Road, Coventry CV4 7AL, United Kingdom
  • 2Centre for Complexity Science, University of Warwick, Coventry CV4 7AL, United Kingdom
  • 3London Mathematical Laboratory, 14 Buckingham St. London WC2N 6DF, United Kingdom
  • 4Université de Strasbourg, CNRS, Institut Charles Sadron, UPR 22, 67000 Strasbourg, France
  • 5The Institute of Mathematical Sciences, CIT Campus, Taramani, Chennai 600113, India
  • 6Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India

  • *c.p.connaughton@warwick.ac.uk
  • Present address: Leibniz-Institut für Polymerforschung Dresden e. V., Institut Theorie der Polymere, Hohe Straße 6, 01069 Dresden, Germany; argphy@gmail.com
  • rrajesh@imsc.res.in
  • §nana.siddharth@gmail.com
  • olegz@maths.warwick.ac.uk

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Issue

Vol. 97, Iss. 2 — February 2018

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