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A New Optimal \(L^{\infty }(H^1)\)–Error Estimate of a SUSHI Scheme for the Time Fractional Diffusion Equation

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Finite Volumes for Complex Applications IX - Methods, Theoretical Aspects, Examples (FVCA 2020)

Abstract

We consider a finite volume scheme, using the general mesh of [8], for the TFDE (time fractional diffusion equation) in any space dimension. The time discretization is performed using a uniform mesh. We prove a new discrete \(L^\infty (H^1)\)a priori estimate. Such a priori estimate is proved thanks to the use of the new tool of the discrete Laplace operator developed recently in [7]. Thanks to this a priori estimate, we prove a new optimal convergence order in the discrete \(L^\infty (H^1)\)–norm. These results improve the ones of [1, 4] which dealt respectively with finite volume and GDM (Gradient Discretization Method) for the TFDE. In [4], we only proved a priori estimate and error estimate in the discrete \(L^\infty (L^2)\)–norm whereas in [1] we proved a priori estimate and error estimate in the discrete \(L^2(H^1)\)–norm. The a priori estimate as well as the error estimate presented here were stated without proof for the first time in [3, Remark 1, p. 443] in the context of the general framework of GDM and [2, Remark 1, p. 205] in the context of finite volume methods. They also were mentioned, as future works, in [1, Remark 4.1].

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Correspondence to Abdallah Bradji .

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Bradji, A. (2020). A New Optimal \(L^{\infty }(H^1)\)–Error Estimate of a SUSHI Scheme for the Time Fractional Diffusion Equation. In: Klöfkorn, R., Keilegavlen, E., Radu, F.A., Fuhrmann, J. (eds) Finite Volumes for Complex Applications IX - Methods, Theoretical Aspects, Examples. FVCA 2020. Springer Proceedings in Mathematics & Statistics, vol 323. Springer, Cham. https://doi.org/10.1007/978-3-030-43651-3_27

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