Weak compactness techniques and coagulation equations
Philippe Lauren\c{c}ot (IMT)

TL;DR
This paper reviews the development of weak $L^1$-compactness techniques applied to Smoluchowski's coagulation equation, highlighting the progress in understanding weak solutions over the past twenty years.
Contribution
It summarizes the mathematical tools and results achieved in establishing a mature theory of weak solutions for coagulation equations using compactness methods.
Findings
Development of weak solution theory for coagulation equations
Application of weak $L^1$-compactness techniques
Comprehensive overview of mathematical tools used
Abstract
Smoluchowski's coagulation equation is a mean-field model describing the growth of clusters by successive mergers. Since its derivation in 1916 it has been studied by several authors, using deterministic and stochastic approaches, with a blossoming of results in the last twenty years. In particular, the use of weak -compactness techniques led to a mature theory of weak solutions and the purpose of these notes is to describe the results obtained so far in that direction, as well as the mathematical tools used.
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