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Semi-Lagrangian difference approximations with different stability requirements

  • Vladimir V. Shaidurov EMAIL logo , Alexander V. Vyatkin and Elena V. Kuchunova

Abstract

The paper demonstrates different ways of using the semi-Lagrangian approximation depending on the fulfillment of conservation laws. A one-dimensional continuity equation and a parabolic one are taken as simple methodological examples. For these equations, the principles of constructing discrete analogues are demonstrated for three different conservation laws (or the requirements of stability in the related discrete norms similar to the L1, L2, L-norms). It is significant that different conservation laws yield difference problems of different types as well as different ways to justify their stability.

MSC 2010: 65M25; 65M06; 65M12
  1. Funding: The different parts of this work were funded by Russian Foundation for Basic Research to projects No. 17-01-000270 and No. 16-41-243029 which was supported also by Government of Krasnoyarsk Territory, Krasnoyarsk Region Science and Technology Support Fund.

References

[1] T. Arbogast and W. H. Wang, Convergence of a fully conservative volume corrected characteristic method for transport problems. SIAM J. Numer. Anal. 48 (2010), No. 3, 797–823.10.1137/09077415XSearch in Google Scholar

[2] N. S. Bakhvalov, N. P. Zhidkov, and G. M. Kobel’kov, Numerical Methods. Moscow, Fizmatlit, 2003 (in Russian).Search in Google Scholar

[3] L. Bonaventura, An introduction to semi-Lagrangian methods for geographical scale flows. Lecture Notes, 2004, SAM-ETH Zurich.Search in Google Scholar

[4] H. Chen, Q. Lin, V. V. Shaidurov, and J. Zhou, Error estimates for triangular and tetrahedral finite elements in combination with a trajectory approximation of the first derivatives for advection-diffusion equations. Numer. Anal. Appl. 4 (2011), No. 4, 345-362.10.1134/S1995423911040070Search in Google Scholar

[5] J. Jr. Douglas and T. F. Russel, Numerical methods for convection-dominated diffusion problems based on combining the method of characteristics with finite element or finite difference procedures. SIAM J. Numer. Anal. 19 (1982), 871–885.10.1137/0719063Search in Google Scholar

[6] A. Efremov, E. Karepova, V. Shaydurov, and A. Vyatkin, Semi-Lagrangian method for advection problem with adaptive grid. AIP Conf. Proc. 1773 (2017), 100003-(1–7).10.1063/1.4964997Search in Google Scholar

[7] R. E. Ewing and H. Wang, A summary of numerical methods for timedependent advection-dominated partial differential equations. J. Comput. Appl. Math. 128 (2001), 423-445.10.1016/S0377-0427(00)00522-7Search in Google Scholar

[8] G. E. Forsythe and W. R. Wasow, Finite-Difference Methods for Partial Differential Equations. New York, John Wiley and Sons, 1960.Search in Google Scholar

[9] S. K. Godunov and V. S. Ryaben’kiy, Difference Schemes (Introduction to Theory). Nauka, Moscow, 1977 (in Russian).Search in Google Scholar

[10] A. Iske, Conservative semi-Lagrangian advection on adaptive unstructured meshes. Numer. Meth. Part. Diff. Equ. 20 (2004), 388–411.10.1002/num.10100Search in Google Scholar

[11] K. M. Magomedov, The method of characteristics for numerical modelilng of spatial gas flow. USSR Comput. Math. Math. Phys. 6 (1966), No. 2, 313–325.Search in Google Scholar

[12] G. Marchuk and V. Shaidurov, Difference Methods and Their Extrapolations. Springer, New York–Berlin–Heidelberg–Tokyo, 1983.10.1007/978-1-4613-8224-9Search in Google Scholar

[13] K. W. Morton, On the analysis of finite volume methods for evolutionary problems. SIAM J. Numer. Anal. 35 (1998), 2195-2222.10.1137/S0036142997316967Search in Google Scholar

[14] T. N. Phillips and A. J. Williams, Conservative semi-Lagrangian finite volume schemes. Numer. Meth. Part. Diff. Equ. 17 (2001), 403-425.10.1002/num.1019Search in Google Scholar

[15] O. Pironneau, On the transport–diffusion algorithm and its application to the Navier–Stokes equation. Numer. Math. 38 (1982), 309–332.10.1007/BF01396435Search in Google Scholar

[16] A. Quarteroni and A. Valli, Numerical Approximation of Partial Differential Equations. Springer Verlag, 1994.10.1007/978-3-540-85268-1Search in Google Scholar

[17] V. Shaydurov, S. Zhang, and E. Karepova, Conservative difference schemes for the computation of mean-field equilibria. AIP Conf. Proc. 1895 (2017), 020004-(1–13).10.1063/1.5007358Search in Google Scholar

[18] A. Staniforth and J. Coté, Semi-Lagrangian integration schemes for atmospheric models – a review. Monthly Weather Review119 (1991), 2206–2223.10.1175/1520-0493(1991)119<2206:SLISFA>2.0.CO;2Search in Google Scholar

[19] K. Terekhov, K. Nikitin, M. Olshanskii, and Yu. Vassilevski, A semi-Lagrangian method on dynamically adapted octree meshes. Russ.J. Numer. Anal. Math. Modelling30 (2015), No. 6, 363–380.10.1515/rnam-2015-0033Search in Google Scholar

[20] A. V. Vyatkin and E. V. Kuchunova, A parallel semi-Lagrangian algorithm for advection equation. Educat.Rs. Technology14 (2016), No. 2, 423-439.Search in Google Scholar

[21] V. Vyatkin, E. Kuchunova, and V. Shaydurov, Semi-Lagrangian method for two-dimensional advection problem with discrete balance equation. Comput. Technol. 22 (2017), No. 5, 27–38.Search in Google Scholar

[22] Wiin-Nielson, On the application of trajectory methods in numerical forecasting. Tellus11 (1959), 180–186.10.1111/j.2153-3490.1959.tb00019.xSearch in Google Scholar

Received: 2017-12-18
Accepted: 2018-1-25
Published Online: 2018-4-10
Published in Print: 2018-4-25

© 2018 Walter de Gruyter GmbH, Berlin/Boston

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