Abstract
In Chen et al. (J. Sci. Comput. 81(3): 2188–2212, 2019), we considered a superconvergent hybridizable discontinuous Galerkin (HDG) method, defined on simplicial meshes, for scalar reaction-diffusion equations and showed how to define an interpolatory version which maintained its convergence properties. The interpolatory approach uses a locally postprocessed approximate solution to evaluate the nonlinear term, and assembles all HDG matrices once before the time integration leading to a reduction in computational cost. The resulting method displays a superconvergent rate for the solution for polynomial degree \(k\geqslant 1\). In this work, we take advantage of the link found between the HDG and the hybrid high-order (HHO) methods, in Cockburn et al. (ESAIM Math. Model. Numer. Anal. 50(3): 635–650, 2016) and extend this idea to the new, HHO-inspired HDG methods, defined on meshes made of general polyhedral elements, uncovered therein. For meshes made of shape-regular polyhedral elements affine-equivalent to a finite number of reference elements, we prove that the resulting interpolatory HDG methods converge at the same rate as for the linear elliptic problems. Hence, we obtain superconvergent methods for \(k\geqslant 0\) by some methods. We thus maintain the superconvergence properties of the original methods. We present numerical results to illustrate the convergence theory.
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Acknowledgements
J. Singler and Y. Zhang thank the IMA for funding research visits, during which some of this work was completed.
Funding
G. Chen was supported by the National Natural Science Foundation of China (NSFC) Grant 11801063, and the Fundamental Research Funds for the Central Universities Grant YJ202030. B. Cockburn was partially supported by the National Science Foundation Grant DMS-1912646. J. Singler and Y. Zhang were supported in part by the National Science Foundation Grant DMS-1217122.
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Appendices
Appendix A Approximation Estimates of Auxiliary Projections
1.1 A.1 Proof of (10a)
Here we prove the estimate for \(\varPi _{k+1}^\star u- u\) in (10a). We are going to use the following auxiliary result.
Lemma A1
For any \(K\in \mathcal {T}_h\), we have
Proof
By definitions (3) and (4), we obtain
for all \((z_h,w_h)\in [\mathcal {P}_{\ell }^{k+1}(K)]^\perp \times \mathcal {P}^{\ell }(K) \). This leads to
The last equation implies that \(\varPi _{k+1}^\star u-\varPi ^{{\text{o}}}_{k+1}u\in [\mathcal {P}_{\ell }^{k+1}(K)]^{\perp }\) and so, we can then take \(z_h:=\varPi _{k+1}^\star u-\varPi ^{{\text{o}}}_{k+1}u\) in the first equation to get
and
Since \(\varPi _{k+1}^\star u-\varPi ^{{\text{o}}}_{k+1}u\in [\mathcal {P}_{\ell }^{k+1}(K)]^{\perp }\), we have
and using Poincaré’s inequality, we obtain
Then the estimate follows by applying the triangle inequality. This completes the proof.
We are now ready to prove (10a). Using inverse inequalities, Poincaré’s inequality, and the approximation properties for \(\varPi _{k+1}^{\text{o}}\), one gets
By [1, Lemma 4.3.8], there exists \(Q^{k+1} u\in \mathcal {P}^{k+1}(K)\) such that
Hence, by (A1) we have
This completes the proof of (10a).
1.2 A.2 Proof of (10b)
Here, we prove the estimate for \(\varPi _{k+1}^\star u - u_h^\star \) in (10b).
Let \(z_h\in [\mathcal {P}_{\ell }^{k+1}(K)]^{\perp }\) and take \(\varvec{r}_h=\nabla z_h\) in the first equation of Proposition 1 to get
Combined with (4a) one gets
By the definition of \(\varPi _{k+1}^{\star }\), as in the proof of Proposition 1 one gets
Let \(e_h=u_h^\star - u_h+\varPi _{\ell }^{\text{o}} u-\varPi _{k+1}^{\star } u\). Then \(e_h\in [\mathcal {P}_{\ell }^{k+1}(K)]^{\perp }\). By the two previous equations, \( \varvec{q} = -\nabla u \), and an inverse inequality we have
Since \((e_h,1)_K=0\), we can now apply the Poincaré inequality to get
This means
Hence, we have
This completes the proof of (10b).
Appendix B Proof of Theorem 2
This appendix is devoted to the proof of the approximation estimates of Theorem 2. We only give the proofs of the estimates for \(\Vert \varvec{\varPi }_{k}^{\text{o}} \varvec{q} - \overline{\varvec{q}}_h\Vert _{\mathcal {T}_h}\) and \(\Vert \varPi _{\ell }^{\text{o}}u-\overline{u}_h\Vert _{\mathcal {T}_h}\). The proof of the estimate for \(\Vert \partial _t\varPi _{\ell }^{\text{o}}u-\partial _t\overline{u}_h\Vert _{\mathcal {T}_h}\) is very similar and is omitted. We use the notation
and split the proof into four steps.
1.1 Step 1: Equations for the projections of the errors
Lemma B1
For all \((\varvec{r}_h,v_h,\widehat{v}_h)\in \varvec{V}_h\times W_h\times M_h\), we have
where
and \(\mathbb {I}\) is the identity operator.
Proof
We begin by noting that, by the properties of \(\varvec{\varPi }_k^{\text{o}}\), \(\varPi _{\ell }^{\text{o}}\), and \(\varPi _k^\partial \), we have
since \(\varvec{q}+\nabla u=0\). Also, since \(\langle \varvec{q}\cdot \varvec{n},\widehat{v}_h \rangle _{\partial {\mathcal {T}_h}}=0\), we have
As a consequence,
The wanted equations can be now obtained by subtracting these equations from the equations defining the HDG elliptic approximation (7). This completes the proof.
1.2 Step 2: Estimate for \(\varepsilon _h^q\) by an energy argument
Lemma B2
We have
This result implies the estimate for the approximate flux in Theorem 2. To prove this lemma, we need the following auxiliary result.
Lemma B3
We have
Proof
Using the first equation of Lemma B1, the definition of \(\mathfrak {p}_h^{k+1}\) in (4), and \(\nabla \cdot \varvec{r}_h\in W_h\), we have
Integration by parts gives
Since \(\nabla \varepsilon _h^{u^*}\in \varvec{V}_h\), by taking first \(\varvec{r}_h:=\varepsilon _h^{\varvec{q}}\) and then \(\varvec{r}_h:=\nabla \varepsilon _h^{u^*}\), one gets
respectively. This completes the proof.
We can now prove Lemma B2.
Proof
We take \((\varvec{r}_h,v_h,\widehat{v}_h):=(\varepsilon _h^{\varvec{q}},\varepsilon _h^{u},\varepsilon _h^{\widehat{u}})\) in the error equations of Lemma B1, and add them to get
where
Since
using the last two estimates of Lemma B3 and simple algebraic manipulations, we get the desired result.
1.3 Step 3: Estimate for \(\varepsilon _h^{u^\star }\) by a duality argument
Lemma B4
Assume that the elliptic regularity inequality (9a) holds. Then, we have
Proof
Setting \(g:=\varepsilon _h^{u^\star }\) in the dual problem, and proceeding as in the proof of Lemma B1, we get
where
Then taking \((v_h,\widehat{v}_h):=(\varepsilon _h^u,\varepsilon _h^{\widehat{u}})\) in (B2b), we get
by the first equation of Lemma B1 with \( \varvec{r}_h:=\varvec{\varPi }^{\text{o}}_k\varvec{\varPhi }\). By (B2a) with \(\varvec{r}_h:=\varepsilon _h^{\varvec{q}}\), we obtain
by the second equation of Lemma B1 with \((v_h,\widehat{v}_h):=(\varPi ^{{\text{o}}}_{\ell }\varPsi ,\varPi ^{\partial }_{k}\varPsi )\). Inserting the definitions of the \(E_h\)-terms, we finally get
which leads to
Using the elliptic regularity inequality (9a) and the first inequality of Lemma B2, we finally obtain the wanted result.
1.4 Step 4: Estimate for \(u_h\)
Lemma B5
We have that \(\Vert \varepsilon _h^{u} \Vert _{\mathcal {T}_h} \leqslant \Vert \varepsilon _h^{u^\star } \Vert _{\mathcal {T}_h}. \)
Combining this result and the one in the previous step gives the estimate in the approximation for u in Theorem 2. To complete the proof of Theorem 2, it only remains to prove the above lemma.
Proof
Since \(u_h^\star =\mathfrak {p}_h^{k+1}( u_h,\widehat{u}_h)\), \(\varPi _{k+1}^\star u=\mathfrak {p}_h^{k+1}(\varPi ^{{\text{o}}}_{\ell } u,\varPi ^{\partial }_k u)\), and the operator \(\mathfrak {p}_h^{k+1}\) is linear, we have that \( \varepsilon _h^{u^\star } =\mathfrak {p}_h^{k+1}( \varepsilon _h^u,\varepsilon _h^{\widehat{u}})\). Proceeding as in the proof of Proposition 1, it can be shown that \( \varepsilon _h^u \in [\mathcal {P}_{\ell }^{k+1}(K)]^{\perp }\). Then, by equation (4b), the wanted inequality follows. This completes the proof.
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Chen, G., Cockburn, B., Singler, J.R. et al. Superconvergent Interpolatory HDG Methods for Reaction Diffusion Equations II: HHO-Inspired Methods. Commun. Appl. Math. Comput. 4, 477–499 (2022). https://doi.org/10.1007/s42967-021-00128-3
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DOI: https://doi.org/10.1007/s42967-021-00128-3
Keywords
- Hybrid high-order methods
- Hybridizable discontinuous Galerkin methods
- Interpolatory method
- Superconvergence