Dual Representation as Stochastic Differential Games of Backward Stochastic Differential Equations and Dynamic Evaluations
Probability
2007-05-23 v1 Optimization and Control
Abstract
In this Note, assuming that the generator is uniform Lipschitz in the unknown variables, we relate the solution of a one dimensional backward stochastic differential equation with the value process of a stochastic differential game. Under a domination condition, a filtration-consistent evaluations is also related to a stochastic differential game. This relation comes out of a min-max representation for uniform Lipschitz functions as affine functions. The extension to reflected backward stochastic differential equations is also included.
Keywords
Cite
@article{arxiv.math/0602323,
title = {Dual Representation as Stochastic Differential Games of Backward Stochastic Differential Equations and Dynamic Evaluations},
author = {Shanjian Tang},
journal= {arXiv preprint arXiv:math/0602323},
year = {2007}
}
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8 pages