Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
144 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
46 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

B-series for SDEs with application to exponential integrators for non-autonomous semi-linear problems (2310.09179v2)

Published 13 Oct 2023 in math.NA, cs.NA, and math.PR

Abstract: In this paper a set of previous general results for the development of B--series for a broad class of stochastic differential equations has been collected. The applicability of these results is demonstrated by the derivation of B--series for non-autonomous semi-linear SDEs and exponential Runge-Kutta methods applied to this class of SDEs, which is a significant generalization of existing theory on such methods.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (31)
  1. General order conditions for stochastic partitioned Runge-Kutta methods. BIT, 58(2):257–280, 2018.
  2. Stochastic B-series and order conditions for exponential integrators. In Numerical Mathematics and Advanced Applications, Lecture Notes in Computational Science and Engineering. Springer, 2019.
  3. Implicit-explicit Runge-Kutta methods for time-dependent partial differential equations. Appl. Numer. Math., 25(2-3):151–167, 1997. Special issue on time integration (Amsterdam, 1996).
  4. B𝐵Bitalic_B-series and order conditions for exponential integrators. SIAM J. Numer. Anal., 43(4):1715–1727, 2005.
  5. High strong order explicit Runge–Kutta methods for stochastic ordinary differential equations. Appl. Numer. Math., 22(1-3):81–101, 1996. Special issue celebrating the centenary of Runge–Kutta methods.
  6. Order conditions of stochastic Runge–Kutta methods by B𝐵Bitalic_B-series. SIAM J. Numer. Anal., 38(5):1626–1646, 2000.
  7. Pamela Marion Burrage. Runge–Kutta methods for stochastic differential equations. PhD thesis, The University of Queensland, Brisbane, 1999.
  8. John C. Butcher. Coefficients for the study of Runge–Kutta integration processes. J. Austral. Math. Soc., 3:185–201, 1963.
  9. Energy-preserving integrators and the structure of B-series. Found. Comput. Math., 10(6):673–693, 2010.
  10. B-series analysis of stochastic Runge–Kutta methods that use an iterative scheme to compute their internal stage values. SIAM J. Numer. Anal., 47(1):181–203, 2008/09.
  11. B-series analysis of iterated Taylor methods. BIT, 51(3):529–553, 2011.
  12. Composition of stochastic B-series with applications to implicit Taylor methods. Appl. Numer. Math., 61(4):501–511, 2011.
  13. Runge-Kutta Lawson schemes for stochastic differential equations. BIT, 61(2):381–409, 2021.
  14. Geometric numerical integration, volume 31 of Springer Series in Computational Mathematics. Springer, Heidelberg, 2010. Structure-preserving algorithms for ordinary differential equations, Reprint of the second (2006) edition.
  15. Multistep-multistage-multiderivative methods of ordinary differential equations. Computing (Arch. Elektron. Rechnen), 11(3):287–303, 1973.
  16. Explicit exponential Runge-Kutta methods for semilinear parabolic problems. SIAM J. Numer. Anal., 43(3):1069–1090, 2005.
  17. Numerical solution of stochastic differential equations, volume 23 of Applications of Mathematics. Springer-Verlag, Berlin, 2 edition, 1999.
  18. Yoshio Komori. Multi-colored rooted tree analysis of the weak order conditions of a stochastic Runge–Kutta family. Appl. Numer. Math., 57(2):147–165, 2007.
  19. Rooted tree analysis of the order conditions of ROW-type scheme for stochastic differential equations. BIT, 37(1):43–66, 1997.
  20. Formulae for mixed moments of wiener processes and a stochastic area integral. SIAM Journal on Numerical Analysis, 61(4):1716–1736, 2023.
  21. Numerical methods for stochastic systems preserving symplectic structure. SIAM J. Numer. Anal., 40(4):1583–1604, 2002.
  22. Hans Munthe-Kaas. Lie-Butcher theory for Runge-Kutta methods. BIT, 35(4):572–587, 1995.
  23. Aromatic Butcher series. Found. Comput. Math., 16(1):183–215, 2016.
  24. On post-Lie algebras, Lie-Butcher series and moving frames. Found. Comput. Math., 13(4):583–613, 2013.
  25. Bernt Øksendal. Stochastic differential equations. Universitext. Springer-Verlag, Berlin, sixth edition, 2003. An introduction with applications.
  26. Brynjulf Owren. Order conditions for commutator-free Lie group methods. J. Phys. A, 39(19):5585–5599, 2006.
  27. Andreas Rößler. Stochastic Taylor expansions for the expectation of functionals of diffusion processes. Stochastic Anal. Appl., 22(6):1553–1576, 2004.
  28. Andreas Rößler. Rooted tree analysis for order conditions of stochastic Runge–Kutta methods for the weak approximation of stochastic differential equations. Stoch. Anal. Appl., 24(1):97–134, 2006.
  29. Implicit Taylor methods for stiff stochastic differential equations. Appl. Numer. Math., 38(1-2):167–185, 2001.
  30. A class of new Magnus-type methods for semi-linear non-commutative Itô stochastic differential equations. Numer. Algorithms, 88(4):1641–1665, 2021.
  31. A new class of structure-preserving stochastic exponential Runge-Kutta integrators for stochastic differential equations. BIT, 62(4):1591–1623, 2022.

Summary

We haven't generated a summary for this paper yet.

X Twitter Logo Streamline Icon: https://streamlinehq.com