Over-populated Tails for conservative-in-the-mean Inelastic Maxwell Models
Jos\'e Antonio Carrillo, St\'ephane Cordier (MAPMO), Giuseppe Toscani

TL;DR
This paper introduces Maxwell-type models of the nonlinear Boltzmann equation with random collision components, showing they develop steady states with power-like tails despite only conserving quantities in the mean.
Contribution
It demonstrates the existence, uniqueness, and stability of steady states with Pareto tails in Maxwell models with random collisions, extending kinetic theory to non-pointwise conservation.
Findings
Steady states with power-like tails exist under mean conservation.
Convergence to steady states occurs at a computable rate.
The gain operator exhibits contraction/expansion properties in probability measure metrics.
Abstract
We introduce and discuss spatially homogeneous Maxwell-type models of the nonlinear Boltzmann equation undergoing binary collisions with a random component. The random contribution to collisions is such that the usual collisional invariants of mass, momentum and energy do not hold pointwise, even if they all hold in the mean. Under this assumption it is shown that, while the Boltzmann equation has the usual conserved quantities, it possesses a steady state with power-like tails for certain random variables. A similar situation occurs in kinetic models of economy recently considered by two of the authors [24], which are conservative in the mean but possess a steady distribution with Pareto tails. The convolution-like gain operator is subsequently shown to have good contraction/expansion properties with respect to different metrics in the set of probability measures. Existence and…
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