Polynomial and exponential stability of θ-EM approximations to a class of stochastic differential equations
Abstract
Both the mean square polynomial stability and exponential stability of θ Euler-Maruyama approximation solutions of stochastic differential equations will be investigated for each 0θ 1 by using an auxiliary function F (see the following definition (2.3)). Sufficient conditions are obtained to ensure the polynomial and exponential stability of the numerical approximations. The results in Liu et al [12] will be improved and generalized to more general cases. Several examples and non stability results are presented to support our conclusions.
Turn this paper into a lesson
ArcXiv compiles a structured reading guide from this paper's metadata: plain-English importance, contributions, prerequisite concepts, which sections to read first, flashcards, and a quiz. Grounded in the abstract, never invented.