Numerical methods for mean-field stochastic differential equations with jumps

In this paper, we are devoted to the numerical methods for mean-field stochastic differential equations with jumps (MSDEJs). First by using the mean-field It^o formula [Sun, Yang and Zhao, Numer. Math. Theor. Meth. Appl., 10 (2017), pp.~798–828], we develop the It^o formula and construct the It^o-Taylor expansion for MSDEJs. Then based on the It^o-Taylor expansion, we propose the strong order $\gamma$ and the weak order $\eta$ It^o-Taylor schemes for MSDEJs. %We theoretically prove The strong and weak convergence rates $\gamma$ and $\eta$ of the strong and weak It^o-Taylor schemes are theoretically proved, respectively. Finally some numerical tests are also presented to verify our theoretical conclusions.