Abstract
An optimal stopping problem for stochastic differential equations with random coefficients is considered. The dynamic programming principle leads to a Hamiltion-Jacobi-Bellman equation, which, for the current case, is a backward stochastic partial differential variational inequality (BSPDVI, for short) for the value function. Well-posedness of such a BSPDVI is established, and a veri. cation theorem is proved.
Journal Title
Siam Journal on Control and Optimization
Volume
48
Issue/Number
2
Publication Date
1-1-2009
Document Type
Article
DOI Link
First Page
941
Last Page
971
WOS Identifier
ISSN
0363-0129
Recommended Citation
Chang, Mou-Hsiung; Pang, Tao; and Yong, Jiongmin, "Optimal Stopping Problem for Stochastic Differential Equations With Random Coefficients" (2009). Faculty Bibliography 2000s. 1400.
https://stars.library.ucf.edu/facultybib2000/1400
Comments
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