On stochastic Galerkin approximation of the nonlinear Boltzmann equation with uncertainty in the fluid regime

2019 ◽  
Vol 397 ◽  
pp. 108838 ◽  
Author(s):  
Jingwei Hu ◽  
Shi Jin ◽  
Ruiwen Shu
Author(s):  
Shi Jin ◽  
Esther Daus ◽  
Liu Liu

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, 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, 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.


2001 ◽  
Vol 12 (8) ◽  
pp. 1385-1391 ◽  
Author(s):  
S.A. El-Wakil ◽  
A. Elhanbaly ◽  
A. Elgarayhi

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