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Convergence of numerical solutions for variable delay differential equations driven by Poisson random jump measure

机译:泊松随机跳跃测度驱动的时滞微分方程数值解的收敛性

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摘要

We study the following stochastic differential delay equations driven by Poisson random jump measure dX(t) = f(X(t), X(t - tau(t)))dt + g(X(t), X(t - tau)))dW(t) + integral(Rn)h(X)(t), X(t - tau(t)),u)(N) over tilde (dt, du), 0 <= t <= T, where time delay tau(t) is a variant and (N) over tilde (dt, du) is a compensated Poisson random measure. In this paper, the semi-implicit Euler approximate solutions are established and we show the convergence of numerical approximate solutions to the true solutions; Further we prove that the semi-implicit Euler method is convergent with order (1)/(2) boolean AND gamma in the mean-square sense.
机译:我们研究以下由Poisson随机跳跃测度dx(t)= f(X(t),X(t-tau(t)))dt + g(X(t),X(t-tau)驱动的随机微分延迟方程))))dW(t)+积分(Rn)h(X)(t),X(t-tau(t)),u)(N)在波浪号(dt,du)上,0 <= t <= T ,其中时间延迟tau(t)是变体,而代字号(dt,du)上的(N)是补偿的Poisson随机量度。本文建立了半隐式欧拉近似解,并证明了数值近似解与实际解的收敛性。进一步,我们证明了半隐式Euler方法在均方意义上与(1)/(2)布尔AND伽玛阶收敛。

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