On the multi-species Boltzmann equation with uncertainty and its stochastic Galerkin approximation

Esther S. Daus; Shi Jin; Liu Liu

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arXiv · 1909.01231

On the multi-species Boltzmann equation with uncertainty and its stochastic Galerkin approximation

Esther S. Daus·Shi Jin·Liu Liu

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Abstract

In this paper the nonlinear multi-species Boltzmann equation with random uncertainty coming from the initial data and collision kernel is studied. Well-posedness and long-time behavior - exponential decay to the global equilibrium - of the analytical solution, and spectral gap estimate for the corresponding linearized gPC-based stochastic Galerkin system are obtained, by using and extending the analytical tools provided in [M. Briant and E. S. Daus, {\it Arch. Ration. Mech. Anal.}, 3, 1367-1443, 2016] for the deterministic problem in the perturbative regime, and in [E. S. Daus, S. Jin and L. Liu, {\it Kinet. Relat. Models}, 12, 909-922, 2019] for the single-species problem with uncertainty. The well-posedness result of the sensitivity system presented here has not been obtained so far even for the single-species case.

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Esther S. Daus, Shi Jin, Liu Liu. 2019-09-03. On the multi-species Boltzmann equation with uncertainty and its stochastic Galerkin approximation. https://arxiv.org/abs/1909.01231

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