The High-Order Variable-Coefficient Explicit-Implicit-Null Method for Diffusion and Dispersion Equations

Meiqi Tan , Juan Cheng , Chi-Wang Shu

Communications on Applied Mathematics and Computation ›› 2025, Vol. 7 ›› Issue (1) : 115 -150.

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Communications on Applied Mathematics and Computation ›› 2025, Vol. 7 ›› Issue (1) :115 -150. DOI: 10.1007/s42967-023-00359-6
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The High-Order Variable-Coefficient Explicit-Implicit-Null Method for Diffusion and Dispersion Equations
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Abstract

For the high-order diffusion and dispersion equations, the general practice of the explicit-implicit-null (EIN) method is to add and subtract an appropriately large linear highest derivative term with a constant coefficient at one side of the equation, and then apply the standard implicit-explicit method to the equivalent equation. We call this approach the constant-coefficient EIN method in this paper and hereafter denote it by “CC-EIN”. To reduce the error in the CC-EIN method, the variable-coefficient explicit-implicit-null (VC-EIN) method, which is obtained by adding and subtracting a linear highest derivative term with a variable coefficient, is proposed and studied in this paper. Coupled with the local discontinuous Galerkin (LDG) spatial discretization, the VC-EIN method is shown to be unconditionally stable and can achieve high order of accuracy for both one-dimensional and two-dimensional quasi-linear and nonlinear equations. In addition, although the computational cost slightly increases, the VC-EIN method can obtain more accurate results than the CC-EIN method, if the diffusion coefficient or the dispersion coefficient has a few high and narrow bumps and the bumps only account for a small part of the whole computational domain.

Keywords

Diffusion equation / Dispersion equation / Stability / Explicit-implicit-null (EIN) time discretization / Local discontinuous Galerkin (LDG) method / 65M60 / 65M12

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Meiqi Tan, Juan Cheng, Chi-Wang Shu. The High-Order Variable-Coefficient Explicit-Implicit-Null Method for Diffusion and Dispersion Equations. Communications on Applied Mathematics and Computation, 2025, 7(1): 115-150 DOI:10.1007/s42967-023-00359-6

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Funding

NSFC(12031001)

National Key R &D Program of China(2022YFA1004500)

NSF(DMS-2010107)

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Shanghai University

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