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Appears in collection : Jean-Morlet Chair 2020 - Research School: Quasi-Monte Carlo Methods and Applications / Chaire Jean-Morlet 2020 - Ecole: Méthode de quasi-Monte-Carlo et applications

In the second part we show how the classical result can be used also for SDEs with drift that may be discontinuous and diffusion that may be degenerate. In that context I will present a concept of (multidimensional) piecewise Lipschitz drift where the set of discontinuities is a sufficiently smooth hypersurface in the multi-dimensional euclidean space. We discuss geometric properties of the set of discontinuities that are needed to transfer the convergence result from the Lipschitz case to the piecewise Lipschitz case.

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Citation data

  • DOI 10.24350/CIRM.V.19680203
  • Cite this video Leobacher, Gunther (02/11/2020). Stochastic differential equations. CIRM. Audiovisual resource. DOI: 10.24350/CIRM.V.19680203
  • URL https://dx.doi.org/10.24350/CIRM.V.19680203

Bibliography

  • Drmota, M.; Tichy, R.F.: Sequences, discrepancies and applications. Lecture Notes in Mathematics, 1651. Springer-Verlag, Berlin, 1997. - http://dx.doi.org/10.1007/BFb0093404
  • Kuipers, L.; Niederreiter, H.: Uniform distribution of sequences. Pure and Applied Mathematics. Wiley-Interscience, 1974.
  • Leobacher, G.; Pillichshammer, F.: Introduction to quasi-Monte Carlo integration and applications. Compact Textbooks in Mathematics. Birkhäuser, Cham, 2014. - http://dx.doi.org/10.1007/978-3-319-03425-6
  • Leobacher, Gunther; Szölgyenyi, Michaela A strong order 1/2 method for multidimensional SDEs with discontinuous drift.The Annals of Applied Probability, 2017, vol. 27, no 4, p. 2383-2418. - http://dx.doi.org/10.1214/16-AAP1262
  • Mao, X.: Stochastic differential equations and their applications. Series in Mathematics & Applications. Horwood Publishing Limited, Chichester, 1997 -

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