On global in time self-similar solutions of Smoluchowski equation with multiplicative kernel
Abstract We study the similarity solutions (SS) of Smoluchowski coagulation equation with multiplicative kernel $K(x,y)=(xy)^{s}$ for $s<\frac{1}{2}$. When $s<0$ , the SS consists of three regions with distinct asymptotic behaviours. The appropriate matching yields a global description of the...
Saved in:
Published in | IMA journal of applied mathematics Vol. 88; no. 2; pp. 405 - 428 |
---|---|
Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Oxford University Press
01.06.2023
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | Abstract
We study the similarity solutions (SS) of Smoluchowski coagulation equation with multiplicative kernel $K(x,y)=(xy)^{s}$ for $s<\frac{1}{2}$. When $s<0$ , the SS consists of three regions with distinct asymptotic behaviours. The appropriate matching yields a global description of the solution consisting of a Gamma distribution tail, an intermediate region described by a lognormal distribution and a region of very fast decay of the solutions to zero near the origin. When $s\in \left ( 0,\frac{1}{2}\right ) $, the SS is unbounded at the origin. It also presents three regions: a Gamma distribution tail, an intermediate region of power-like (or Pareto distribution) decay and the region close to the origin where a singularity occurs. Finally, full numerical simulations of Smoluchowski equation serve to verify our theoretical results and show the convergence of solutions to the selfsimilar regime. |
---|---|
ISSN: | 0272-4960 1464-3634 |
DOI: | 10.1093/imamat/hxad012 |