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Contributions to Books:

E. Daus, S. Jin, L. Liu:
"On the multi-species Boltzmann equation with uncertainty and its stochastic Galerkin approximation";
in: "ASC Report 44/2020", issued by: Institute for Analysis and Scientific Computing; Vienna University of Technology, Wien, 2020, ISBN: 978-3-902627-13-1, 1 - 28.



English abstract:
In this paper the nonlinear multi-species Boltzmann equation with random un-certainty coming from the initial data and collision kernel is studied. Well-posedness and long-time behavior - exponential decay to the global equilibrium - of the analyt-ical 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 prob-lem with uncertainty. The well-posedness result of the sensitivity system presented here has not been obtained so far even for the single-species case.


Electronic version of the publication:
http://www.asc.tuwien.ac.at/preprint/2020/asc44x2020.pdf


Created from the Publication Database of the Vienna University of Technology.