Abstract
In this paper, we propose an explicit second-order scheme for solving decoupled mean-field forward backward stochastic differential equations. Its stability is theoretically proved, and its error estimates are rigorously deduced, which show that the proposed scheme is of second-order accurate when the weak-order 2.0 Itô-Taylor scheme is used to solve mean-field stochastic differential equations. Some numerical experiments are presented to verify the theoretical results.
Similar content being viewed by others
References
Ahdersson, D., Djehiche, B.: A maximum principle for SDEs of mean-field type. Appl. Math. Opt. 63, 341–356 (2011)
Bensoussan, A., Frehse, J., Yam, P.: Mean field games and mean field type control theory. Springer briefs in Mathematics (2013)
Bossy, M., Talay, D.: A stochastic particle method for the McKean-Vlasov and the Burgers equation. Math. Comput. 66, 157–192 (1997)
Bouchard, B., Tan, X., Warin, X., Zou, Y.: Numerical approximation of BSDEs using local polynomial drivers and branching processes. Monte Carlo Methods Appl. 23, 241–263 (2017)
Bouchard, B., Possamaï, D., Tan, X., Zhou, C.: A unified approach to a priori estimates for supersolutions of BSDEs in general filtrations. Ann. Inst. Henri Poincaré Probab. Stat. 54, 154–172 (2018)
Buckdahn, R., Djehiche, B., Li, J., Peng, S.: Mean-field backward stochastic differential equations: a limit approach. Ann. Probab. 37, 1524–1565 (2009)
Buckdahn, R., Li, J., Peng, S.: Mean-field backward stochastic differential equations and related partial differential equations. Stochastic Pro Appl. 119, 3133–3154 (2009)
Carmona, R., Delarue, F.: Probabilistic analysis of mean-field games. SIAM J. Control Optim. 51, 2705–2734 (2012)
Fu, Y., Zhao, W., Zhou, T.: Efficient spectral sparse grid approximations for solving multidimensional forward backward SDEs. Discrete Contin. Dyn. Syst. Ser. B 22, 3439–3458 (2017)
Gobet, E., Labart, C.: Error expansion for the discretization of backward stochastic differential equations. Stoch. Process Appl. 117, 803–829 (2007)
Guéant, O., Lasry, J., Lions, P.: Mean Field Games and Applications. Paris-Princeton Lectures on Mathematical Finance 2010, pp 205–266. Springer, Berlin (2011)
Hafayed, M.: A mean-field necessary sufficient conditions for optimal singular stochastic control. Commun. Math. Stat. 1, 417–435 (2013)
Kloeden, P. E., Platen, E.: Numerical Solution of Stochastic Differential Equations. Springer, Berlin (1992)
Kotelenez, P.: A class of quasilinear stochastic partial differential equations of McKean-Vlasov type with mass conservation. Probab. Theory Related Fields 102, 159–188 (1995)
Kharroubi, I., Langrené, N., Pham, H.: Discrete time approximation of fully nonlinear HJB equations via BSDEs with nonpositive jumps. Ann. Appl. Probab. 25, 2301–2338 (2015)
Lasry, J., Lions, P.: Mean field games. Jpn. J. Math. 2, 229–260 (2007)
Li, J.: Stochastic maximum principle in the mean-field controls. Automatica 48, 366–373 (2012)
Li, J., Min, H.: Controlled mean-field backward stochastic differential equations with jumps involving the value function. J. Syst. Sci. Comput. 29, 1–31 (2016)
Mendoza, M. L., Aguilar, M. A., Valle, F. J.: A mean field approach that combines quantum mechanics and molecular dynamics simulation: the water molecule in liquid water. J. Mol. Struct. 426, 181–190 (1998)
Ni, Y., Li, X., Zhang, J.: Mean-field stochastic linear-quadratic optimal control with Markov jump parameters. Systems Control Lett 93, 69–76 (2016)
Possamai, D., Tan, X., Zhou, C.: Stochastic control for a class of nonlinear kernels and applications. Ann. Probab. 46, 551–603 (2018)
Sun, Y., Yang, J., Zhao, W.: Itô-Taylor schemes for solving mean-field stochastic differential equations. Numer. Math. Theor. Meth. Appl. 10, 798–828 (2017)
Sun, Y., Zhao, W.: New second-order schemes for forward backward stochastic differential equations. East Asian J. Appl. Math. 8, 399–421 (2018)
Sun, Y., Zhao, W., Zhou, T.: Explicit 𝜃-scheme for solving mean-field backward stochastic differential equations. SIAM J. Numer. Anal. 56, 2672–2697 (2018)
Tang, T., Zhao, W., Zhou, T.: Deferred correction methods for forward backward stochastic differential equations. Numer. Math. Theor. Meth. Appl. 10, 222–242 (2017)
Wang, B., Zhang, J.: Mean field games for large-population multi-agent systems with Markov jump parameters. SIAM J. Control Optim. 50, 2308–2334 (2012)
Wang, G., Zhang, C., Zhang, W.: Stochastic maximum principle for mean-field type optimal control under partial information. IEEE Trans. Autom. Control 59, 522–528 (2014)
Zhao, W., Chen, L., Peng, S.: A new kind of accurate numerical method for backward stochastic differential equations. SIAM J. Sci. Comput. 28, 1563–1581 (2006)
Zhao, W., Zhang, G., Ju, L.: A stable multistep scheme for solving backward stochastic differential equations. SIAM J. Numer. Anal. 48, 1369–1394 (2010)
Zhao, W., Li, Y., Zhang, G.: A generalized 𝜃-scheme for solving backward stochastic differential equations. Discrete Contin. Dyn. Syst. Ser. B 17, 1585–1603 (2012)
Zhao, W., Fu, Y., Zhou, T.: New kinds of high-order multistep schemes for coupled forward backward stochastic differential equations. SIAM J. Sci. Comput. 36, A1731–A1751 (2014)
Zhao, W., Zhou, T., Kong, T.: High order numerical schemes for second-order FBSDEs with applications to stochastic optimal control. Commun. Comput. Phys. 21, 808–834 (2017)
Acknowledgments
The authors would like to thank the referees for their valuable comments and suggestions which helped to improve much of the quality of the paper.
Funding
This research is partially supported by the science challenge Project (No. TZ2018001), the NSF of China (under Grant Nos. 11571351, 11571206, 11831010, 11871068)
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Sun, Y., Zhao, W. An explicit second-order numerical scheme for mean-field forward backward stochastic differential equations. Numer Algor 84, 253–283 (2020). https://doi.org/10.1007/s11075-019-00754-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11075-019-00754-2
Keywords
- Mean-field forward backward stochastic differential equation
- Weak-order 2.0 Taylor scheme
- Monte Carlo method
- Stability analysis
- Error estimates