scholarly journals Strong convergence rate of truncated Euler-Maruyama method for stochastic differential delay equations with Poisson jumps

Author(s):  
Shuaibin Gao ◽  
Junhao Hu ◽  
Li Tan ◽  
Chenggui Yuan
2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Weifeng Wang ◽  
Lei Yan ◽  
Shuaibin Gao ◽  
Junhao Hu

In this paper, we study a class of nonlinear and nonautonomous hybrid stochastic differential delay equations with Poisson jumps (HSDDEwPJs). The convergence rate of the truncated theta-EM numerical solutions to HSDDEwPJs is investigated under given conditions. An example is shown to support our theory.


2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Shuaibin Gao ◽  
Junhao Hu

AbstractIn this paper, we establish a partially truncated Euler–Maruyama scheme for highly nonlinear and nonautonomous neutral stochastic differential delay equations with Markovian switching. We investigate the strong convergence rate and almost sure exponential stability of the numerical solutions under the generalized Khasminskii-type condition.


Author(s):  
Jingtao Shi

AbstractThis paper is concerned with the optimal control problem for stochastic differential delay equations with Poisson jumps, in which both state and control delays are involved. We obtain the necessary and sufficient maximum principles for the optimal control by virtue of the duality method and the anticipated backward stochastic differential equations with Poisson jumps. An optimal consumption rate problem is discussed to illustrate the applications of our results.


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