Divergence of the backward Euler method for ordinary stochastic differential equations

This paper is based on the analysis of the backward Euler method for stochastic differential equations. It is motivated by the paper (Hutzenthaler et al. Proc. R. Soc. A 467 , 1563–1576, 2011 ), where authors studied the equations with superlinearly growing coefficients. The main goal of this paper...

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Veröffentlicht in:Numerical algorithms 2019-12, Vol.82 (4), p.1395-1407
1. Verfasser: Milošević, Marija
Format: Artikel
Sprache:eng
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Zusammenfassung:This paper is based on the analysis of the backward Euler method for stochastic differential equations. It is motivated by the paper (Hutzenthaler et al. Proc. R. Soc. A 467 , 1563–1576, 2011 ), where authors studied the equations with superlinearly growing coefficients. The main goal of this paper is to reveal sufficient conditions of the strong and weak L p -divergence of the backward Euler method at finite time, for all p ∈ ( 0 , ∞ ) . Theoretical results are supported by examples.
ISSN:1017-1398
1572-9265
DOI:10.1007/s11075-019-00661-6