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Nash Equilibrium Payoffs for Stochastic Differential Games with two Reflecting Barriers

Published online by Cambridge University Press:  22 February 2016

Qian Lin*
Affiliation:
Wuhan University
*
Postal address: School of Economics and Management, Wuhan University, Wuhan, 430072, China. Email address: [email protected]
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Abstract

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In this paper we study Nash equilibrium payoffs for nonzero-sum stochastic differential games with two reflecting barriers. We obtain an existence and a characterization of Nash equilibrium payoffs for nonzero-sum stochastic differential games with nonlinear cost functionals defined by doubly controlled reflected backward stochastic differential equations with two reflecting barriers.

Type
Research Article
Copyright
© Applied Probability Trust 

References

Barles, G., Buckdahn, R. and Pardoux, E. (1997). Backward stochastic differential equations and integral-partial differential equations. Stoch. Reports 60, 5783.Google Scholar
Buckdahn, R., Cardaliaguet, P. and Quincampoix, M. (2011). Some recent aspects of differential game theory. Dyn. Games Appl. 1, 74114.Google Scholar
Buckdahn, R., Cardaliaguet, P. and Rainer, C. (2004). Nash equilibrium payoffs for nonzero-sum stochastic differential games. SIAM J. Control Optimization 43, 624642.CrossRefGoogle Scholar
Buckdahn, R. and Li, J. (2008). Stochastic differential games and viscosity solutions of Hamilton–Jacobi–Bellman–Isaacs equations. SIAM J. Control Optimization 47, 444475.Google Scholar
Buckdahn, R. and Li, J. (2009). Probabilistic interpretation for systems of Isaacs equations with two reflecting barriers. Nonlinear Differential Equations Appl. 16, 381420.Google Scholar
Cvitanić, J. and Karatzas, I. (1996). Backward stochastic differential equations with reflection and Dynkin games. Ann. Prob. 24, 20242056.Google Scholar
Duffie, D. and Epstein, L. G. (1992). Stochastic differential utility. Econometrica 60, 353394.Google Scholar
El Karoui, N., Peng, S. and Quenez, M. C. (1997). Backward stochastic differential equation in finance. Math. Finance 7, 171.Google Scholar
Fleming, W. H. and Souganidis, P. E. (1989). On the existence of value functions of two-player, zero-sum stochastic differential games. Indiana Univ. Math. J. 38, 293314.Google Scholar
Hamadène, S. and Hassani, M. (2005). BSDEs with two reflecting barriers: the general result. Prob. Theory Relat. Fields 132, 237264.Google Scholar
Lin, Q. (2012). A BSDE approach to Nash equilibrium payoffs for stochastic differential games with nonlinear cost functionals. Stoch. Process. Appl. 122, 357385.Google Scholar
Lin, Q. (2013). Nash equilibrium payoffs for stochastic differential games with reflection. ESAIM Control Optimization Calc. Var. 19, 11891208.Google Scholar
Pardoux, É. and Peng, S. G. (1990). Adapted solution of a backward stochastic differential equation. Systems Control Lett. 14, 5561.Google Scholar
Peng, S. (1997). Backward stochastic differential equations—stochastic optimization theory and viscosity solutions of HJB equations. In Topics in Stochastic Analysis, eds Yan, J. et al, Science Press, Beijing, pp. 85138.Google Scholar
Pham, T. and Zhang, J. (2013). Some norm estimates for semimartingales. Electron. J. Prob. 18, 125.Google Scholar