a1 Institut für Optimierung und Stochastik, Martin-Luther-Universität Halle-Wittenberg, D-06099 Hale (Saale), Germany.
a2 School of Computing and Mathematics, Deakin University, Geelong Campus, Geelong Vic. 3217, Australia.
The global discretisation error is estimated for strong time discretisations of finite dimensional Ito stochastic differential equations (SDEs) which are Galerkin approximations of a class of parabolic stochastic partial differential equation (SPDE) with a strongly monotone linear operator with eigenvalues λ1 ≤ λ2 ≤ … in its drift term. If an order γ strong Taylor scheme with time-step δ is applied to the N dimensional Ito-Galerkin SDE, the discretisation error is bounded above by
where [x] is the integer part of the real number x and the constant K depends on the initial value, bounds on the other coefficients in the SPDE and the length of the time interval under consideration.
(Received September 13 1995)