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 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. [ABSTRACT FROM AUTHOR]