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A Petrov-Galerkin discretization with optimal test space of a mild-weak formulation of convection-diffusion equations in mixed form
被引:27
|作者:
Broersen, Dirk
[1
]
Stevenson, Rob P.
[1
]
机构:
[1] Univ Amsterdam, Korteweg de Vries Inst Math, NL-1090 GE Amsterdam, Netherlands
关键词:
Petrov-Galerkin discretization;
convection-diffusion;
optimal test space;
least squares method;
mixed formulation;
finite elements;
DPG METHOD;
ELLIPTIC PROBLEMS;
MULTIPLIERS;
D O I:
10.1093/imanum/dru003
中图分类号:
O29 [应用数学];
学科分类号:
070104 ;
摘要:
Motivated by the discontinuous Petrov- Galerkin method from Demkowicz & Gopalakrishnan [ 2011, Numer. Methods Partial Differential Equations, 27, 70- 105], we study a variational formulation of second- order elliptic equations in mixed form that is obtained by piecewise integrating one of the two equations in the system w. r. t. a partition of the domain into mesh cells. We apply a Petrov- Galerkin discretization with optimal test functions, or equivalently, minimize the residual in the natural norm associated to the variational form. These optimal test functions can be found by solving local problems. Well- posedness, uniformly in the partition, and optimal error estimates are demonstrated. In the second part of the paper, the application to convection- diffusion problems is studied. The available freedom in the variational formulation and in its optimal Petrov- Galerkin discretization is used to construct a method that allows a ( smooth) passing to a converging method in the convective limit, being a necessary condition to retain convergence and having a bound on the cost for a vanishing diffusion. The theoretical findings are illustrated by several numerical results.
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页码:39 / 73
页数:35
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