Literature DB >> 29548142

Stationary mass distribution and nonlocality in models of coalescence and shattering.

Colm Connaughton1,2,3, Arghya Dutta4, R Rajesh5,6, Nana Siddharth5,6, Oleg Zaboronski1.   

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.

Year:  2018        PMID: 29548142     DOI: 10.1103/PhysRevE.97.022137

Source DB:  PubMed          Journal:  Phys Rev E        ISSN: 2470-0045            Impact factor:   2.529


  1 in total

1.  Stochastic Theory of Discrete Binary Fragmentation-Kinetics and Thermodynamics.

Authors:  Themis Matsoukas
Journal:  Entropy (Basel)       Date:  2022-01-31       Impact factor: 2.524

  1 in total

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