状态切换跳跃扩散的Feynman-Kac公式及其应用

Chao Zhu, G. Yin, Nicholas A. Baran
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引用次数: 34

摘要

本文发展了一类状态切换跳跃扩散过程的Feynman-Kac公式,其中跳跃部分由与一般lsamvy过程相关的泊松随机测度驱动,而切换部分依赖于跳跃扩散过程。在广义条件下,建立了这类随机过程的联系和相应的偏积分-微分方程。还讨论了相关的初值、终值和边值问题。此外,基于概率测度的弱收敛性,证明了与状态切换跳跃扩散过程相关的随机变量序列在分布上收敛于反正弦律。
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Feynman–Kac formulas for regime-switching jump diffusions and their applications
This work develops Feynman–Kac formulas for a class of regime-switching jump diffusion processes, in which the jump part is driven by a Poisson random measure associated with a general Lévy process and the switching part depends on the jump diffusion processes. Under broad conditions, the connections of such stochastic processes and the corresponding partial integro-differential equations are established. Related initial, terminal and boundary value problems are also treated. Moreover, based on weak convergence of probability measures, it is demonstrated that a sequence of random variables related to the regime-switching jump diffusion process converges in distribution to the arcsine law.
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来源期刊
CiteScore
1.90
自引率
0.00%
发文量
42
审稿时长
>12 weeks
期刊介绍: Stochastics: An International Journal of Probability and Stochastic Processes is a world-leading journal publishing research concerned with stochastic processes and their applications in the modelling, analysis and optimization of stochastic systems, i.e. processes characterized both by temporal or spatial evolution and by the presence of random effects. Articles are published dealing with all aspects of stochastic systems analysis, characterization problems, stochastic modelling and identification, optimization, filtering and control and with related questions in the theory of stochastic processes. The journal also solicits papers dealing with significant applications of stochastic process theory to problems in engineering systems, the physical and life sciences, economics and other areas. Proposals for special issues in cutting-edge areas are welcome and should be directed to the Editor-in-Chief who will review accordingly. In recent years there has been a growing interaction between current research in probability theory and problems in stochastic systems. The objective of Stochastics is to encourage this trend, promoting an awareness of the latest theoretical developments on the one hand and of mathematical problems arising in applications on the other.
期刊最新文献
Monotone iterative technique for evolution equations with delay and nonlocal conditions in ordered Banach space Well-posedness for anticipated backward stochastic Schrödinger equations Infinite horizon impulse control of stochastic functional differential equations driven by Lévy processes Complete f -moment convergence for sums of asymptotically almost negatively associated random variables with statistical applications A recursive representation for decoupling time-state dependent jumps from jump-diffusion processes
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