High Order IMEX Stochastic Galerkin Schemes for Linear Transport Equation with Random Inputs and Diffusive Scalings

Zheng Chen, Lin Mu

Communications on Applied Mathematics and Computation ›› 2023, Vol. 6 ›› Issue (1) : 325-339.

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Communications on Applied Mathematics and Computation ›› 2023, Vol. 6 ›› Issue (1) : 325-339. DOI: 10.1007/s42967-023-00249-x
Original Paper

High Order IMEX Stochastic Galerkin Schemes for Linear Transport Equation with Random Inputs and Diffusive Scalings

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Abstract

In this paper, we consider the high order method for solving the linear transport equations under diffusive scaling and with random inputs. To tackle the randomness in the problem, the stochastic Galerkin method of the generalized polynomial chaos approach has been employed. Besides, the high order implicit-explicit scheme under the micro-macro decomposition framework and the discontinuous Galerkin method have been employed. We provide several numerical experiments to validate the accuracy and the stochastic asymptotic-preserving property.

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Zheng Chen, Lin Mu. High Order IMEX Stochastic Galerkin Schemes for Linear Transport Equation with Random Inputs and Diffusive Scalings. Communications on Applied Mathematics and Computation, 2023, 6(1): 325‒339 https://doi.org/10.1007/s42967-023-00249-x
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Funding
Simons Foundation; U.S. Air Force(FA9550-18-1-0383)

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