TY - JOUR
T1 - Virtual element method for the Helmholtz transmission eigenvalue problem of anisotropic media
AU - Meng, Jian
AU - Mei, Liquan
N1 - Publisher Copyright:
© 2022 World Scientific Publishing Company.
PY - 2022/7/1
Y1 - 2022/7/1
N2 - In this paper, we propose a conforming virtual element method for the Helmholtz transmission eigenvalue problem of anisotropic media. By using-coercivity theory, the spectral approximation theory of compact operator and the projection and interpolation error estimates, we prove the spectral convergence of the discrete scheme and the optimal a priori error estimates for the discrete eigenvalues and eigenfunctions. The virtual element method has great flexibility in handling polygonal meshes, which motivates us to construct a fully computable a posteriori error estimator for the virtual element method. Then the upper bound of the approximation error is derived from the residual equation and the inf-sup condition. In turn, the related lower bound is established by using the bubble function strategy. Finally, we provide numerical examples to verify the theoretical results, including the optimal convergence of the virtual element scheme on uniformly refined meshes and the efficiency of the estimator on adaptively refined meshes.
AB - In this paper, we propose a conforming virtual element method for the Helmholtz transmission eigenvalue problem of anisotropic media. By using-coercivity theory, the spectral approximation theory of compact operator and the projection and interpolation error estimates, we prove the spectral convergence of the discrete scheme and the optimal a priori error estimates for the discrete eigenvalues and eigenfunctions. The virtual element method has great flexibility in handling polygonal meshes, which motivates us to construct a fully computable a posteriori error estimator for the virtual element method. Then the upper bound of the approximation error is derived from the residual equation and the inf-sup condition. In turn, the related lower bound is established by using the bubble function strategy. Finally, we provide numerical examples to verify the theoretical results, including the optimal convergence of the virtual element scheme on uniformly refined meshes and the efficiency of the estimator on adaptively refined meshes.
KW - Virtual element method
KW - a priori and a posteriori error estimates
KW - anisotropic media
KW - transmission eigenvalue problem
UR - https://www.scopus.com/pages/publications/85133818573
U2 - 10.1142/S0218202522500348
DO - 10.1142/S0218202522500348
M3 - 文章
AN - SCOPUS:85133818573
SN - 0218-2025
VL - 32
SP - 1493
EP - 1529
JO - Mathematical Models and Methods in Applied Sciences
JF - Mathematical Models and Methods in Applied Sciences
IS - 8
ER -