Skip to main content

Backward Stochastic Differential Equations and Related Control Problems

  • Reference work entry
  • First Online:
Encyclopedia of Systems and Control
  • 162 Accesses

Abstract

A conditional expectation of the form \(Y_t=E[\xi +\int _t^Tf_sds|\mathcal {F}_t]\) is regarded as a simple and typical example of backward stochastic differential equation (abbreviated by BSDE). BSDEs are widely applied to formulate and solve problems related to stochastic optimal control, stochastic games, and stochastic valuation.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 1,699.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 1,999.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Bibliography

  • Barrieu P, El Karoui N (2005) Inf-convolution of risk measures and optimal risk transfer. Financ Stoch 9:269–298

    Article  MathSciNet  MATH  Google Scholar 

  • Bismut JM (1973) Conjugate convex functions in optimal stochastic control. J Math Anal Apl 44: 384–404

    Article  MathSciNet  MATH  Google Scholar 

  • Buckdahn R, Quincampoix M, Rascanu A (2000) Viability property for a backward stochastic differential equation and applications to partial differential equations. Probab Theory Relat Fields 116(4): 485–504

    Article  MathSciNet  MATH  Google Scholar 

  • Chen Z, Epstein L (2002) Ambiguity, risk and asset returns in continuous time. Econometrica 70(4): 1403–1443

    Article  MathSciNet  MATH  Google Scholar 

  • Coquet F, Hu Y, Memin J, Peng S (2002) Filtration consistent nonlinear expectations and related g-Expectations. Probab Theory Relat Fields 123: 1–27

    Article  MathSciNet  MATH  Google Scholar 

  • Cvitanic J, Karatzas I (1993) Hedging contingent claims with constrained portfolios. Ann Probab 3(4): 652–681

    MathSciNet  MATH  Google Scholar 

  • Cvitanic J, Karatzas I (1996) Backward stochastic differential equations with reflection and Dynkin games. Ann Probab 24(4):2024–2056

    Article  MathSciNet  MATH  Google Scholar 

  • Cvitanic J, Karatzas I, Soner M (1998) Backward stochastic differential equations with constraints on the gains-process. Ann Probab 26(4):1522–1551

    MathSciNet  MATH  Google Scholar 

  • Delbaen F, Rosazza Gianin E, Peng S (2010) Representation of the penalty term of dynamic concave utilities. Finance Stoch 14:449–472

    Article  MathSciNet  MATH  Google Scholar 

  • Duffie D, Epstein L (1992) Appendix C with costis skiadas, stochastic differential utility. Econometrica 60(2):353–394

    Article  MathSciNet  Google Scholar 

  • El Karoui N, Quenez M-C (1995) Dynamic programming and pricing of contingent claims in an incomplete market. SIAM Control Optim 33(1): 29–66

    Article  MathSciNet  MATH  Google Scholar 

  • El Karoui N, Peng S, Quenez M-C (1997a) Backward stochastic differential equation in finance. Math Financ 7(1):1–71

    Article  MathSciNet  MATH  Google Scholar 

  • El Karoui N, Kapoudjian C, Pardoux E, Peng S, Quenez M-C (1997b) Reflected solutions of backward SDE and related obstacle problems for PDEs. Ann Probab 25(2):702–737

    Article  MathSciNet  MATH  Google Scholar 

  • Hamadèene S, Lepeltier JP (1995) Zero-sum stochastic differential games and backward equations. Syst Control Lett 24(4):259–263

    Article  MathSciNet  MATH  Google Scholar 

  • Han Y, Peng S, Wu Z (2010) Maximum principle for backward doubly stochastic control systems with applications. SIAM J Control 48(7):4224–4241

    Article  MathSciNet  MATH  Google Scholar 

  • Hu Y, Peng S (1995) Solution of forward-backward stochastic differential-equations. Probab Theory Relat Fields 103(2):273–283

    Article  MathSciNet  MATH  Google Scholar 

  • Hu Y, Imkeller P, Müller M (2005) Utility maximization in incomplete markets. Ann Appl Probab 15(3): 1691–1712

    Article  MathSciNet  MATH  Google Scholar 

  • Knight F (1921) Risk, uncertainty and profit. Hougton Mifflin Company, Boston. (Dover, 2006)

    Google Scholar 

  • Ma J, Yong J (1999) Forward-backward stochastic differential equations and their applications. Lecture notes in mathematics, vol 1702. Springer, Berlin/ New York

    Google Scholar 

  • Ma J, Protter P, Yong J (1994) Solving forward–backward stochastic differential equations explicitly, a four step scheme. Probab Theory Relat Fields 98: 339–359

    Article  MathSciNet  MATH  Google Scholar 

  • Pardoux E, Peng S (1990) Adapted solution of a backward stochastic differential equation. Syst Control Lett 14(1):55–61

    Article  MathSciNet  MATH  Google Scholar 

  • Pardoux E, Peng S (1992) Backward stochastic differential equations and quasilinear parabolic partial differential equations, Stochastic partial differential equations and their applications. In: Proceedings of the IFIP. Lecture notes in CIS, vol 176. Springer, pp 200–217

    Google Scholar 

  • Peng S (1991) Probabilistic interpretation for systems of quasilinear parabolic partial differential equations. Stochastics 37:61–74

    MathSciNet  MATH  Google Scholar 

  • Peng S (1992) A generalized dynamic programming principle and hamilton-jacobi-bellmen equation. Stochastics 38:119–134

    MATH  Google Scholar 

  • Peng S (1994) Backward stochastic differential equation and exact controllability of stochastic control systems. Prog Nat Sci 4(3):274–284

    MathSciNet  Google Scholar 

  • Peng S (1997) BSDE and stochastic optimizations. In: Yan J, Peng S, Fang S, Wu LM (eds) Topics in stochastic analysis. Lecture notes of xiangfan summer school, chap 2. Science Publication (in Chinese, 1995)

    Google Scholar 

  • Peng S (1999) Monotonic limit theorem of BSDE and nonlinear decomposition theorem of Doob-Meyer’s type. Probab Theory Relat Fields 113(4): 473–499

    Article  MathSciNet  MATH  Google Scholar 

  • Peng S (2004) Nonlinear expectation, nonlinear evaluations and risk measurs. In: Back K, Bielecki TR, Hipp C, Peng S, Schachermayer W (eds) Stochastic methods in finance lectures, C.I.M.E.-E.M.S. Summer School held in Bressanone/Brixen, LNM vol 1856. Springer, pp 143–217. (Edit. M. Frittelli and W. Runggaldier)

    Google Scholar 

  • Peng S (2005) Dynamically consistent nonlinear evaluations and expectations. arXiv:math. PR/ 0501415 v1

    Google Scholar 

  • Peng S (2007) G-expectation, G-Brownian motion and related stochastic calculus of Itô’s type. In: Benth et al. (eds) Stochastic analysis and applications, The Abel Symposium 2005, Abel Symposia, pp 541–567. Springer

    Google Scholar 

  • Peng S (2010) Backward stochastic differential equation, nonlinear expectation and their applications. In: Proceedings of the international congress of mathematicians, Hyderabad

    Google Scholar 

  • Peng S, Shi Y (2003) A type of time-symmetric forward-backward stochastic differential equations. C R Math Acad Sci Paris 336:773–778

    Article  MathSciNet  MATH  Google Scholar 

  • Peng S, Wu Z (1999) Fully coupled forward-backward stochastic differential equations and applications to optimal control. SIAM J Control Optim 37(3): 825–843

    Article  MathSciNet  MATH  Google Scholar 

  • Rosazza Gianin E (2006) Risk measures via G-expectations. Insur Math Econ 39:19–34

    Article  MathSciNet  MATH  Google Scholar 

  • Soner M, Touzi N, Zhang J (2012) Wellposedness of second order backward SDEs. Probab Theory Relat Fields 153(1–2):149–190

    Article  MathSciNet  MATH  Google Scholar 

  • Yong J, Zhou X (1999) Stochastic control. Applications of mathematics, vol 43. Springer, New York

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shige Peng .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Peng, S. (2021). Backward Stochastic Differential Equations and Related Control Problems. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, Cham. https://doi.org/10.1007/978-3-030-44184-5_234

Download citation

Publish with us

Policies and ethics