Almost sure exponential stability of the θ-method for stochastic differential equations

作者：Chen, Lin; Wu, Fuke^*

来源：Statistics & Probability Letters, 2012, 82(9): 1669-1676.

DOI：10.1016/j.spl.2012.05.004

• Stochastic differential equations
• Almost sure exponential stability
• theta-method
• Semimartingale convergence theorem
• One-sided linear growth

Our previous work shows that the backward Euler-Maruyama (BEM) method may reproduce the almost sure stability of stochastic differential equations (SDEs) without the linear growth condition for the drift coefficient (see Wu et al. (2010)) but the Euler-Maruyama (EM) method cannot. It is well known that the theta-method is more general and may be specialized as the BEM and EM by choosing theta = 1 and theta = 0. Then it is very interesting to examine the interval in which the theta-method holds the same stability property as the BEM method. This paper shows that when theta is an element of (1/2, 1], the theta-method may reproduce the almost sure stability of the exact solution of SDEs. Finally, a two-dimensional example is presented to illustrate this result.

• 出版日期2012-9
• 单位华中科技大学