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Optimal error estimates of an IPDG scheme for the resistive magnetic induction equation

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  • Tanmay Sarkar

    (Indian Institute of Technology Jammu)

Abstract

In this paper, we develop the framework for error analysis of a fully-discrete interior penalty discontinuous Galerkin (IPDG) scheme designed for the initial-boundary value problem associated with the resistive magnetic induction equation. We demonstrate the error estimates for semi-discrete IPDG schemes, in which the obtained convergence rates are optimal in the energy norm, but sub-optimal in the $$L^2$$ L 2 -norm. For sufficiently smooth solution, we derive optimal a-priori error estimates in the $$L^2$$ L 2 -norm $$\mathcal {O}(h^{1+l})$$ O ( h 1 + l ) , where l denotes the polynomial degree and h mesh size. Furthermore, we extend the error analysis to the fully-discrete schemes. For the fully-discrete schemes, the optimal convergence rates are obtained in the energy norm and $$L^2$$ L 2 -norm for both space and time using the backward Euler and second order backward difference schemes for time discretization.

Suggested Citation

  • Tanmay Sarkar, 2023. "Optimal error estimates of an IPDG scheme for the resistive magnetic induction equation," Partial Differential Equations and Applications, Springer, vol. 4(4), pages 1-33, August.
  • Handle: RePEc:spr:pardea:v:4:y:2023:i:4:d:10.1007_s42985-023-00245-z
    DOI: 10.1007/s42985-023-00245-z
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    1. Sarkar, Tanmay, 2017. "Interior penalty discontinuous Galerkin method for magnetic induction equation with resistivity," Applied Mathematics and Computation, Elsevier, vol. 314(C), pages 212-227.
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