Generalized kinetic Maxwell type models of granular gases
A.V. Bobylev, C. Cercignani, I.M. Gamba

TL;DR
This paper develops a comprehensive mathematical framework for generalized Maxwell models of granular gases, analyzing existence, convergence, and stability of self-similar solutions with power-law tails in various dimensions.
Contribution
It introduces a broad class of Maxwell-type kinetic models with arbitrary nonlinearities, establishing existence, asymptotic behavior, and stability of self-similar solutions in a unified way.
Findings
Existence of self-similar solutions for generalized Maxwell models.
Convergence of scaled solutions to self-similar states over time.
Identification of stable power-law tail equilibria.
Abstract
We consider generalizations of kinetic granular gas models given by Boltzmann equations of Maxwell type. These type of models for non-linear elastic or inelastic interactions, have many applications in physics, dynamics of granular gases, economy, etc. We present the problem and develop its form in the space of characteristic functions, i.e. Fourier transforms of probability measures, from a very general point of view, including those with arbitrary polynomial non-linearities and in any dimension space. We find a whole class of generalized Maxwell models that satisfy properties that characterize the existence and asymptotic of dynamically scaled or self-similar solutions, often referred as {\em homogeneous cooling states}. Of particular interest is a concept interpreted as an operator generalization of usual Lipschitz conditions which allows to describe the behavior of solutions to the…
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Taxonomy
TopicsGas Dynamics and Kinetic Theory · Advanced Mathematical Physics Problems · Navier-Stokes equation solutions
