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arXiv 1406.4541math.PRmath.AP
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跳跃过程驱动的退化线性随机发展方程

On Degenerate Linear Stochastic Evolution Equations Driven by Jump Processes

James-Michael Leahy, Remigijus Mikulevicius

摘要:

利用随机发展方程的变分框架和粘性消失方法,证明了Hilbert尺度下跳跃过程驱动的退化线性随机发展方程解的存在唯一性.作为这个结果的应用,我们得到了Sobolev尺度下退化抛物线性随机积分微分方程(SIDE)解的存在唯一性.我们考虑的SIDE出现在非线性滤波理论中,作为管理给定跳扩散观测的退化跳扩散信号的条件密度的方程,可能具有相关噪声。

英文摘要:

We prove the existence and uniqueness of solutions of degenerate linear stochastic evolution equations driven by jump processes in a Hilbert scale using the variational framework of stochastic evolution equations and the method of vanishing viscosity. As an application of this result, we derive the existence and uniqueness of solutions of degenerate parabolic linear stochastic integro-differential equations (SIDEs) in the Sobolev scale. The SIDEs that we consider arise in the theory of non-linear filtering as the equations governing the conditional density of a degenerate jump-diffusion signal given a jump-diffusion observation, possibly with correlated noise.

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