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Convergence of stochastic integrals with respect to Hilbert-valued semimartingales

机译:关于希尔伯特值半mart的随机积分的收敛

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For sequences of stochastic integrals ∫_0~· K_(s-)~n dX_s~n, functional limit theorems are presented. And stability of strong solutions of stochastic differential equations of type X~n = H~n + ∫_0~· f(X_(s-)~n)dY_s~n, any n ≥ 1 is discussed under jointly weak convergence of driving processes {(H~n,Y~n}_(n ≥ 1). Where Y~n is an H-valued semimartingale, H~n is a G-valued cadlag adapted process, K~n is an L(H, G)-valued cadlag adapted process and f : G → L(H, G) satisfies a Lipschitz condition.
机译:对于随机积分∫_0〜·K_(s-)〜n dX_s〜n的序列,给出了函数极限定理。并讨论了驱动过程共同弱收敛下,讨论了X〜n = H〜n +∫_0〜·f(X_(s-)〜n)dY_s〜n的随机微分方程强解的稳定性。 {(H〜n,Y〜n} _(n≥1)。其中Y〜n是H值的半mart,H〜n是G值的cadcad适应过程,K〜n是L(H,G )值的cadlag适应过程,并且f:G→L(H,G)满足Lipschitz条件。

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