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A convergence method for stochastic differential games with a small parameter 

Author: K. M. Ramachandran a
Affiliation:   a Department of Mathematics, University of South Florida, Tampa, FL
DOI: 10.1080/07362999908809598
Publication Frequency: 6 issues per year
Published in: journal Stochastic Analysis and Applications, Volume 17, Issue 2 1999 , pages 219 - 252
Formats available: PDF (English)
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Abstract

A stochastic differential game problem for wideband noise driven system is considered. Often in applications, one have a single realization, then expectation is not appropriate in the cost function. First we will consider the payoff structure in the pathwise but not necessarily in the expected value sense. For N-person noncooperative games, under very general conditions, it will be shown that the optimal equilibrium policies of the limit diffusion when applied to the physical processes, will be δ-equilibrium as the parameters ε > 0 and T→ ∞. A combination of direct averaging and perturbed test function techniques will be used in convergence analysis. Results are shown to hold when mathematical expectations are used in the payoff structure. Two person zero sum games can also be considered in this framework
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