Abstract
In this study, we design and analyze weak Galerkin finite element methods to approximate diffusive viscus wave equations with variable coefficients on polygonal meshes. The proposed method has numerous assets, including supporting a higher order of convergence and general polygonal meshes. We investigated the convergence analysis using a two-step technique that discretizes first in space and then in time. A second-order Newmark scheme is employed to develop the temporal discretization and obtain the optimal order of convergence rate in \(L^{\infty }(L^2)\) and \(L^{\infty }(H^1)\) norms. In other words, we attain \({{\mathcal {O}}}(h^{k+1}+\tau ^2)\) in \(L^{\infty }(L^2)\) norm and \({{\mathcal {O}}}(h^{k}+\tau ^2)\) in \(L^{\infty }(H^1)\) norm. We performed several numerical experiments in a two-dimensional setting, illustrating our theoretical convergence findings.
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The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
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Acknowledgements
The second author gratefully acknowledges the research support of the Science and Engineering Research Board (SERB), Govt. of India, through the Grant vide MATRICS Project no. MTR/2021/000115.
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Appendix
Appendix
Lemma 6.1
Let \(w\in H^1(0,T; H^2(\Omega ))\) be the solutions of the equation (3.15) and \(w_h\) be its WG approximation. Then, there exists a constant C such that
Proof
Following the analysis used to derive (3.7), we obtain
Next, we may define \(w_h\in {{\mathcal {M}}}_h^0\) as the solution to the weak Galerkin approximation of the Eq. (3.15) that follows
with \(w_h(\tau ) = {\Pi }_{h}w^0.\)
Now, subtracting (6.3) from the Eq. (6.2), we arrive at the following error relation for \({\tilde{e}}_h: = {\Pi }_{h}w-{w}_{h}\)
Finally, setting \(\phi _h={\tilde{e}}_h\) in (6.4) and then standard analysis as we did in Theorem 3.1 combined with the estimations (3.28) and (3.32) yields the following estimate
Here, we have used the estimate (3.22) together with the fact that \({\tilde{e}}_h(0)= 0.\) The proof is completed. \(\square \)
Remark 6.1
We recall a dual problem that seeks a solution \(w\in H^1(J; H^2(\Omega ))\) such that
and \(w(\tau ) = 0\) for some \(\tau \in J.\)
We may define \(w_h\in {{\mathcal {M}}}_h^0\) as the solution to the discrete problem of the Eq. (6.5) that follows
with \(w_h(\tau ) = 0.\)
Setting \( \varphi _h=w_h\) in (6.6) and using the coercive property (2.11), we obtain
Next, integrate the above equation in \([0, \tau ]\) to obtain
Here, we used the fact that \(w_h(\tau ) =0\) and hence, \({\mathcal A}_{2,w}(w_h(\tau ), w_h(\tau )) = 0.\)
Now, we apply the Poincaŕe-type inequality (2.15) and positive definiteness of \({{\mathcal {A}}}_{2,w}(\cdot , \cdot )\) in the above estimate, we get
When we set \( \varphi _h=w_h^{\prime }\) in (6.6), we can get
The following estimates are satisfied by \(w_h\), which is the WG approximation to w (see, estimate (6.1))
Now, we combine estimates (6.7) and (6.9) to obtain
As a consequence, we can prove that
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Kumar, N., Deka, B. A numerical method for analysis and simulation of diffusive viscous wave equations with variable coefficients on polygonal meshes. Calcolo 60, 47 (2023). https://doi.org/10.1007/s10092-023-00541-5
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DOI: https://doi.org/10.1007/s10092-023-00541-5
Keywords
- Diffusive viscus wave equations
- Weak Galerkin method
- Semidiscrete and fully discrete schemes
- Variable coefficients
- Polygonal meshes