A High Order Method on Graded Meshes for a Time-Fractional Diffusion Problem

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Finite Difference Methods. Theory and Applications (FDM 2018)

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Abstract

In a recent paper we showed numerically and theoretically that a straightforward generalisation of Alikhanov’s “L2-\(1_\sigma \)” scheme is \(O(M^{-2})\) accurate on suitably chosen graded meshes (with M time intervals) for initial-value problems (IVPs) and initial-boundary value problems (IBVPs) with a Caputo fractional time derivative of order \(\alpha \), whose solutions typically exhibit a weak singularity at the initial time \(t=0\). The present paper constructs a better generalisation of Alikhanov’s scheme that is demonstrated numerically to be \(O(M^{-(3-\alpha )})\) accurate for these classes of IVPs and IBVPs, but its rigorous analysis remains an open problem.

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References

  1. Alikhanov, A.A.: A new difference scheme for the time fractional diffusion equation. J. Comput. Phys. 280, 424–438 (2015). https://doi.org/10.1016/j.jcp.2014.09.031

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  2. Atkinson, K., Han, W.: Theoretical Numerical Analysis. A Functional Analysis Framework. Texts in Applied Mathematics, 3rd edn. Springer, New York (2009). https://doi.org/10.1007/978-1-4419-0458-4

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  3. Chen, H., Stynes, M.: Error analysis of a second-order method on fitted meshes for a time-fractional diffusion problem. J. Sci. Comput. (2018). https://doi.org/10.1007/s10915-018-0863-y

  4. Shen, J., Tang, T., Wang, L.L.: Spectral Methods, Algorithms, Analysis and Applications. Springer Series in Computational Mathematics. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-540-71041-7

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Acknowledgements

The work of the first author was funded by the Chinese Postdoc Foundation Grant 2018M631316 and the National Natural Science Foundation of China young scientists fund Grant 11801026. The work of the second author was funded by the National Natural Science Foundation of China under grants 91430216 and NSAF-U1530401.

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Correspondence to Martin Stynes .

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Chen, H., Stynes, M. (2019). A High Order Method on Graded Meshes for a Time-Fractional Diffusion Problem. In: Dimov, I., Faragó, I., Vulkov, L. (eds) Finite Difference Methods. Theory and Applications. FDM 2018. Lecture Notes in Computer Science(), vol 11386. Springer, Cham. https://doi.org/10.1007/978-3-030-11539-5_2

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  • DOI: https://doi.org/10.1007/978-3-030-11539-5_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11538-8

  • Online ISBN: 978-3-030-11539-5

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