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Ergodic BSDEs under weak dissipative assumptions

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  • Debussche, Arnaud
  • Hu, Ying
  • Tessitore, Gianmario

Abstract

In this paper we study ergodic backward stochastic differential equations (EBSDEs) dropping the strong dissipativity assumption needed in Fuhrman et al. (2009) [12]. In other words we do not need to require the uniform exponential decay of the difference of two solutions of the underlying forward equation, which, on the contrary, is assumed to be non-degenerate. We show the existence of solutions by the use of coupling estimates for a non-degenerate forward stochastic differential equation with bounded measurable nonlinearity. Moreover we prove the uniqueness of "Markovian" solutions by exploiting the recurrence of the same class of forward equations. Applications are then given for the optimal ergodic control of stochastic partial differential equations and to the associated ergodic Hamilton-Jacobi-Bellman equations.

Suggested Citation

  • Debussche, Arnaud & Hu, Ying & Tessitore, Gianmario, 2011. "Ergodic BSDEs under weak dissipative assumptions," Stochastic Processes and their Applications, Elsevier, vol. 121(3), pages 407-426, March.
    • Handle: RePEc:eee:spapps:v:121:y:2011:i:3:p:407-426
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    References listed on IDEAS

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    1. Da Prato, Giuseppe & Debussche, Arnaud & Tubaro, Luciano, 2005. "Coupling for some partial differential equations driven by white noise," Stochastic Processes and their Applications, Elsevier, vol. 115(8), pages 1384-1407, August.
    2. Richou, Adrien, 2009. "Ergodic BSDEs and related PDEs with Neumann boundary conditions," Stochastic Processes and their Applications, Elsevier, vol. 119(9), pages 2945-2969, September.
    3. N. El Karoui & S. Peng & M. C. Quenez, 1997. "Backward Stochastic Differential Equations in Finance," Mathematical Finance, Wiley Blackwell, vol. 7(1), pages 1-71, January.
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    Cited by:

    1. Li, Juan & Zhao, Nana, 2019. "Representation of asymptotic values for nonexpansive stochastic control systems," Stochastic Processes and their Applications, Elsevier, vol. 129(2), pages 634-673.
    2. Robertson, Scott & Xing, Hao, 2015. "Large time behavior of solutions to semi-linear equations with quadratic growth in the gradient," LSE Research Online Documents on Economics 60578, London School of Economics and Political Science, LSE Library.
    3. Hu, Mingshang & Wang, Falei, 2021. "Probabilistic approach to singular perturbations of viscosity solutions to nonlinear parabolic PDEs," Stochastic Processes and their Applications, Elsevier, vol. 141(C), pages 139-171.
    4. Ying Hu & Gechun Liang & Shanjian Tang, 2018. "Systems of ergodic BSDEs arising in regime switching forward performance processes," Papers 1807.01816, arXiv.org, revised Jun 2020.
    5. Gechun Liang & Thaleia Zariphopoulou, 2015. "Representation of homothetic forward performance processes in stochastic factor models via ergodic and infinite horizon BSDE," Papers 1511.04863, arXiv.org, revised Nov 2016.
    6. Bréhier, Charles-Edouard, 2012. "Strong and weak orders in averaging for SPDEs," Stochastic Processes and their Applications, Elsevier, vol. 122(7), pages 2553-2593.
    7. Madec, P.Y., 2015. "Ergodic BSDEs and related PDEs with Neumann boundary conditions under weak dissipative assumptions," Stochastic Processes and their Applications, Elsevier, vol. 125(5), pages 1821-1860.
    8. Hu, Ying & Lemonnier, Florian, 2019. "Ergodic BSDE with unbounded and multiplicative underlying diffusion and application to large time behaviour of viscosity solution of HJB equation," Stochastic Processes and their Applications, Elsevier, vol. 129(10), pages 4009-4050.
    9. Wing Fung Chong & Ying Hu & Gechun Liang & Thaleia Zariphopoulou, 2019. "An ergodic BSDE approach to forward entropic risk measures: representation and large-maturity behavior," Finance and Stochastics, Springer, vol. 23(1), pages 239-273, January.
    10. Giorgio Fabbri & Fausto Gozzi & Andrzej Swiech, 2017. "Stochastic Optimal Control in Infinite Dimensions - Dynamic Programming and HJB Equations," Post-Print hal-01505767, HAL.
    11. Cosso, Andrea & Fuhrman, Marco & Pham, Huyên, 2016. "Long time asymptotics for fully nonlinear Bellman equations: A backward SDE approach," Stochastic Processes and their Applications, Elsevier, vol. 126(7), pages 1932-1973.
    12. Filippo de Feo, 2020. "The Averaging Principle for Non-autonomous Slow-fast Stochastic Differential Equations and an Application to a Local Stochastic Volatility Model," Papers 2012.09082, arXiv.org, revised Jan 2021.
    13. Samuel N. Cohen & Victor Fedyashov, 2015. "Nash equilibria for non zero-sum ergodic stochastic differential games," Papers 1511.02716, arXiv.org, revised Jun 2017.

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