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Local Discontinuous Galerkin Method for a Third-Order Singularly Perturbed Problem of Convection-Diffusion Type

  • Li Yan , Zhoufeng Wang and Yao Cheng ORCID logo EMAIL logo

Abstract

The local discontinuous Galerkin (LDG) method is studied for a third-order singularly perturbed problem of convection-diffusion type. Based on a regularity assumption for the exact solution, we prove almost O ( N - ( k + 1 2 ) ) (up to a logarithmic factor) energy-norm convergence uniformly in the perturbation parameter. Here, k 0 is the maximum degree of piecewise polynomials used in discrete space, and N is the number of mesh elements. The results are valid for the three types of layer-adapted meshes: Shishkin-type, Bakhvalov–Shishkin-type, and Bakhvalov-type. Numerical experiments are conducted to test the theoretical results.

MSC 2010: 65N15; 65N30; 65N50

Appendix

In this part, we provide a technical lemma used in the proof of our main result.

Lemma 4.

Suppose ( X , Y ) V N 2 satisfies

(A.1) Y , s I j + ε ( X , s I j - X ^ j s j - + X ^ j - 1 s j - 1 + ) = F j ( s )

in each element I j Ω N and for any test function s V N , where F j ( s ) : V N R is a linear functional, and

X ^ j = { X j + , j = 0 , 1 , , N - 1 , 0 , j = N .

Then the local estimate holds

(A.2) Y I j C ε ( h j - 1 X I j + h j - 1 2 | [ [ X ] ] j | ) + | F j ( Y ) | Y I j

for each element I j Ω N , where C > 0 is independent of ε and h j .

Proof.

Take s = Y into (A.1), use integration by parts, an inverse inequality and the Cauchy–Schwarz inequality to get

Y I j 2 = ε ( - X , Y I j + X j + Y j - - X j - 1 + Y j - 1 + ) + F j ( Y )
= ε ( X , Y I j + Y j - [ [ X ] ] j ) + F j ( Y )
C ε ( h j - 1 X I j Y I j + h j - 1 2 | [ [ X ] ] j | Y I j ) + | F j ( Y ) |

for j = 1 , 2 , , N - 1 . Hence,

Y I j C ε ( h j - 1 X I j + h j - 1 2 | [ [ X ] ] j | ) + | F j ( Y ) | Y I j

hold for j = 1 , 2 , , N - 1 .

Analogously, one can obtain the conclusion for j = N by noticing that [ [ X ] ] N = - X N - . ∎

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Received: 2022-09-03
Accepted: 2022-10-26
Published Online: 2022-12-06
Published in Print: 2023-07-01

© 2022 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 25.2.2025 from https://www.degruyter.com/document/doi/10.1515/cmam-2022-0176/html
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