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The effect of inner products for discrete vector fields on the accuracy of mimetic finite difference methods.(English)Zbl 0998.65107

Summary: The support operators method of discretizing partial differential equations produces discrete analogs of continuum initial boundary value problems that exactly satisfy discrete conservation laws analogous to those satisfied by the continuum system. Thus, the stability of the method is assured, but currently there is no theory that predicts the accuracy of the method on nonuniform grids.
In this paper, we numerically investigate how the accuracy, particularly the accuracy of the fluxes, depends on the definition of the inner product for discrete vector fields. We introduce two different discrete inner products, the standard inner product that we have used previously and a new more accurate inner product. The definitions of these inner products are based on interpolation of the fluxes of vector fields. The derivation of the new inner product is closely related to the use of the Piola transform in mixed finite elements. Computing the formulas for the new accurate inner product requires a nontrivial use of computer algebra.
From the results of our numerical experiments, we can conclude that using more accurate inner product produces a method with the same order of convergence as the standard inner product, but the constant in error estimate is about three times less. However, the method based on the standard inner product is easier to commute with and less sensitive to grid irregularities, so we recommend its use for rough grids.

MSC:

65N06 Finite difference methods for boundary value problems involving PDEs
35J05 Laplace operator, Helmholtz equation (reduced wave equation), Poisson equation
65N30 Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs
65N12 Stability and convergence of numerical methods for boundary value problems involving PDEs
65N15 Error bounds for boundary value problems involving PDEs

Cite

References:

[1]Favorskii, A.; Samarskii, A.; Shashkov, M.; Tishkin, V., Operational finite-difference schemes, Differential Equations, 17, 854-862 (1981) ·Zbl 0485.65060
[2]Shashkov, M.; Steinberg, S., Support-operator finite-difference algorithms for general elliptic problems, Journal of Computational Physics, 118, 131-151 (1995) ·Zbl 0824.65101
[3]Shashkov, M.; Steinberg, S., Solving diffusion equations with rough coefficients in rough grids, Journal of Computational Physics, 129, 383-405 (1996) ·Zbl 0874.65062
[4]Shashkov, M., Conservative Finite-Difference Methods on General Grids (1995), CRC Press: CRC Press Boca Raton, FL ·Zbl 0844.65067
[5]Caramana, E. J.; Burton, D. E.; Shashkov, M.; Whalen, P. P., The construction of compatible hydrodynamics algorithms utilizing conservation of total energy, Journal of Computational Physics, 146, 227-262 (1998) ·Zbl 0931.76080
[6]Hyman, J. M.; Shashkov, M., Natural discretizations for the divergence, gradient, and curl on logically rectangular grids, Computers Math. Applic., 33, 4, 81-104 (1997) ·Zbl 0868.65006
[7]Hyman, J. M.; Shashkov, M.; Steinberg, S., The numerical solution of diffusion problems in strongly heterogeneous non-isotropic materials, Journal of Computational Physics, 132, 130-148 (1997) ·Zbl 0881.65093
[8]Hyman, J. M.; Shashkov, M., The adjoint operators for natural discretizations for the divergence, gradient and curl on logically rectangular grids, IMACS Journal—Applied Numerical Mathematics, 25, 413-442 (1997) ·Zbl 1005.65024
[9]Hyman, J. M.; Shashkov, M., The approximation of boundary conditions for mimetic finite difference methods, Computers Math. Applic., 36, 5, 79-99 (1998) ·Zbl 0932.65111
[10]Hyman, J.; Shashkov, M., Mimetic discretizations for Maxwell’s equations, Journal of Computational Physics, 151, 881-909 (1999) ·Zbl 0956.78015
[11]Margolin, L.; Shashkov, M., Using a curvilinear grid to construct symmetry-preserving discretization for Lagrangian gas dynamics, Journal of Computational Physics, 149, 389-417 (1999) ·Zbl 0936.76057
[12]L. Margolin, P. Smolarkiewicz and M. Shashkov, A discrete operator calculus for finite difference approximations, Report LA-UR-98-2835 of Los Alamos National Laboratory, Los Alamos, NM; Journal of Computer Methods in Applied Mechanics and Engineering (to appear).; L. Margolin, P. Smolarkiewicz and M. Shashkov, A discrete operator calculus for finite difference approximations, Report LA-UR-98-2835 of Los Alamos National Laboratory, Los Alamos, NM; Journal of Computer Methods in Applied Mechanics and Engineering (to appear).
[13]Morel, J. E.; Roberts, R. M.; Shashkov, M., A local support-operator diffusion discretization scheme for quadrilateralr-z meshes, Journal of Computational Physics, 144, 17-51 (1998) ·Zbl 1395.76052
[14]Arbogast, T.; Dawson, C. N.; Keenan, P. T.; Wheeler, M. F.; Yotov, I., Enhanced cell-centered finite differences for elliptic equations on general geometry, SIAM Journal of Scientific Computing, 18, 1-32 (1997)
[15]Cai, Z.; Jones, J. E.; McCormick, S. F.; Russel, T. F., Control-volume mixed finite element methods, Computational Geosciences, 1, 289-315 (1997) ·Zbl 0941.76050
[16]Knupp, P. M.; Steinberg, S., The Fundamentals of Grid Generation (1993), CRC Press: CRC Press Boca Raton, FL
[17]MacKinnon, R. J.; Carey, G. F., Analysis of material interface discontinuities and superconvergent fluxes in finite difference theory, Journal of Computational Physics, 75, 151-167 (1988) ·Zbl 0632.76110
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.
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