×

Comparison theorems for the multidimensional BDSDEs and applications. (English) Zbl 1244.60064

Summary: A class of backward doubly stochastic differential equations (BDSDEs) are studied. We obtain a comparison theorem of these multidimensional BDSDEs. As its applications, we derive the existence of solutions for this multidimensional BDSDEs with continuous coefficients. We can also prove that this solution is the minimal solution of the BDSDE.

MSC:

60H15 Stochastic partial differential equations (aspects of stochastic analysis)

References:

[1] É. Pardoux and S. G. Peng, “Adapted solution of a backward stochastic differential equation,” Systems & Control Letters, vol. 14, no. 1, pp. 55-61, 1990. · Zbl 0692.93064 · doi:10.1016/0167-6911(90)90082-6
[2] S. G. Peng, “Probabilistic interpretation for systems of quasilinear parabolic partial differential equations,” Stochastics and Stochastics Reports, vol. 37, no. 1-2, pp. 61-74, 1991. · Zbl 0739.60060
[3] É. Pardoux and S. Peng, “Backward stochastic differential equations and quasilinear parabolic partial differential equations,” in Stochastic Partial Differential Equations and Their Applications, B. L. Rozovskii and R. Sowers, Eds., vol. 176 of Lecture Notes in Control and Inform. Sci., pp. 200-217, Springer, Berlin, Germany, 1992. · Zbl 0766.60079
[4] N. El Karoui, S. Peng, and M. C. Quenez, “Backward stochastic differential equations in finance,” Mathematical Finance, vol. 7, no. 1, pp. 1-71, 1997. · Zbl 0884.90035 · doi:10.1111/1467-9965.00022
[5] S. Hamadene and J.-P. Lepeltier, “Zero-sum stochastic differential games and backward equations,” Systems & Control Letters, vol. 24, no. 4, pp. 259-263, 1995. · Zbl 0877.93125 · doi:10.1016/0167-6911(94)00011-J
[6] J. Ma and J. Yong, Forward-Backward Stochastic Differential Equations and Their Applications, vol. 1702 of Lecture Notes in Mathematics, Springer, Berlin, Germany, 1999. · Zbl 0927.60004
[7] C. Geiß and R. Manthey, “Comparison theorems for stochastic differential equations in finite and infinite dimensions,” Stochastic Processes and Their Applications, vol. 53, no. 1, pp. 23-35, 1994. · Zbl 0809.60074 · doi:10.1016/0304-4149(94)90055-8
[8] E. Pardoux and S. G. Peng, “Backward doubly stochastic differential equations and systems of quasilinear SPDEs,” Probability Theory and Related Fields, vol. 98, no. 2, pp. 209-227, 1994. · Zbl 0792.60050 · doi:10.1007/BF01192514
[9] Q. Zhang and H. Zhao, “Stationary solutions of SPDEs and infinite horizon BDSDEs,” Journal of Functional Analysis, vol. 252, no. 1, pp. 171-219, 2007. · Zbl 1127.60059 · doi:10.1016/j.jfa.2007.06.019
[10] B. Zhu and B. Han, “Backward doubly stochastic differential equations with infinite time horizon,” Applicationes Mathematicae. Accepted. · Zbl 1274.60193
[11] V. Bally and A. Matoussi, “Weak solutions for SPDEs and backward doubly stochastic differential equations,” Journal of Theoretical Probability, vol. 14, no. 1, pp. 125-164, 2001. · Zbl 0982.60057 · doi:10.1023/A:1007825232513
[12] R. Buckdahn and J. Ma, “Stochastic viscosity solutions for nonlinear stochastic partial differential equations. I,” Stochastic Processes and Their Applications, vol. 93, no. 2, pp. 181-204, 2001. · Zbl 1053.60065 · doi:10.1016/S0304-4149(00)00093-4
[13] R. Buckdahn and J. Ma, “Stochastic viscosity solutions for nonlinear stochastic partial differential equations. II,” Stochastic Processes and Their Applications, vol. 93, no. 2, pp. 205-228, 2001. · Zbl 1053.60066 · doi:10.1016/S0304-4149(00)00092-2
[14] E. Pardoux, “Stochastic partial differential equations,” Fudan lecture notes, 2007.
[15] S. Peng and Y. Shi, “A type of time-symmetric forward-backward stochastic differential equations,” Comptes Rendus Mathématique. Académie des Sciences. Paris, vol. 336, no. 9, pp. 773-778, 2003. · Zbl 1031.60055 · doi:10.1016/S1631-073X(03)00183-3
[16] B. Zhu and B. Y. Han, “Backward doubly stochastic differential equations with non-Lipschitz coefficients,” Acta Mathematica Scientia A, vol. 28, no. 5, pp. 977-984, 2008. · Zbl 1174.60393
[17] B. Boufoussi, J. Van Casteren, and N. Mrhardy, “Generalized backward doubly stochastic differential equations and SPDEs with nonlinear Neumann boundary conditions,” Bernoulli, vol. 13, no. 2, pp. 423-446, 2007. · Zbl 1135.60038 · doi:10.3150/07-BEJ5092
[18] L. Hu and Y. Ren, “Stochastic PDIEs with nonlinear Neumann boundary conditions and generalized backward doubly stochastic differential equations driven by Lévy processes,” Journal of Computational and Applied Mathematics, vol. 229, no. 1, pp. 230-239, 2009. · Zbl 1173.60023 · doi:10.1016/j.cam.2008.10.027
[19] Y. Shi, Y. Gu, and K. Liu, “Comparison theorems of backward doubly stochastic differential equations and applications,” Stochastic Analysis and Applications, vol. 23, no. 1, pp. 97-110, 2005. · Zbl 1067.60046 · doi:10.1081/SAP-200044444
[20] G. Da Prato and J. Zabczyk, Stochastic Equations in Infinite Dimensions, vol. 44 of Encyclopedia of Mathematics and Its Applications, Cambridge University Press, Cambridge, UK, 1992. · Zbl 0761.60052 · doi:10.1017/CBO9780511666223
[21] D. Nualart and É. Pardoux, “Stochastic calculus with anticipating integrands,” Probability Theory and Related Fields, vol. 78, no. 4, pp. 535-581, 1988. · Zbl 0629.60061 · doi:10.1007/BF00353876
[22] S. Assing and R. Manthey, “The behavior of solutions of stochastic differential inequalities,” Probability Theory and Related Fields, vol. 103, no. 4, pp. 493-514, 1995. · Zbl 0844.60031 · doi:10.1007/BF01246336
[23] M. T. Barlow and E. Perkins, “One-dimensional stochastic differential equations involving a singular increasing process,” Stochastics, vol. 12, no. 3-4, pp. 229-249, 1984. · Zbl 0543.60065 · doi:10.1080/17442508408833303
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.