研究了Levy过程扰动的Markov状态转换的随机微分方程的Euler近似解,在非Lipschitz条件下,证明了Euler近似解均方意义下收敛于解析解,从而推广了已有的某些结果.
The Euler approximated solutions of stochastic differential equations with Markovian switching driven by Levy process are studied.The convergence of the Euler approximated solutions to the analytical solutions in the mean-square sense under non Lipschitz conditions is obtained.Some known results are generalized and improved.