Skip to main content
Log in

On the Dynamic Programming Approach for the 3D Navier–Stokes Equations

  • Published:
Applied Mathematics and Optimization Aims and scope Submit manuscript

Abstract

The dynamic programming approach for the control of a 3D flow governed by the stochastic Navier–Stokes equations for incompressible fluid in a bounded domain is studied. By a compactness argument, existence of solutions for the associated Hamilton–Jacobi–Bellman equation is proved. Finally, existence of an optimal control through the feedback formula and of an optimal state is discussed.

Rèsumè

Nous étudions la programmation dynamique pour le contrôle d’un flux tridimensionnel gouverné par les équations de Navier–Stokes stochastiques pour un fluide incompressible dans un domaine borné. Nous démontrons l’existence de solutions pour l’équation associée de Hamilton–Jacobi–Bellman par un argument de compacticité. Enfin nous examinons l’existence d’un contrôle optimal et d’un état optimal au moyen de la formule de feedback.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Cannarsa, P., Da Prato, G.: Direct solution of a second order Hamilton–Jacobi equation in Hilbert spaces. In: Stochastic Partial Differential Equations and Applications, Trento, 1990. Pitman Res. Notes Math. Ser., vol. 268, pp. 72–85. Longman, Harlow (1992)

    Google Scholar 

  2. Cannarsa, P., Da Prato, G.: Some results on nonlinear optimal control problems and Hamilton–Jacobi equations in infinite dimensions. J. Funct. Anal. 90(1), 27–47 (1990)

    Article  MATH  MathSciNet  Google Scholar 

  3. Da Prato, G., Debussche, A.: Ergodicity for the 3D stochastic Navier–Stokes equations. J. Math. Pures Appl. (9) 82(8), 877–947 (2003)

    MATH  MathSciNet  Google Scholar 

  4. Da Prato, G., Debussche, A.: Dynamic programming for the stochastic Navier–Stokes equations. M2AN Math. Model. Numer. Anal. 34(2), 459–475 (2000). Special issue for R. Temam’s 60th birthday

    Article  MATH  MathSciNet  Google Scholar 

  5. Da Prato, G., Debussche, A.: Dynamic programming for the stochastic Burgers equation. Ann. Mat. Pura Appl. (4) 178, 143–174 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  6. Da Prato, G., Zabczyk, J.: Stochastic Equations in Infinite Dimensions. Encyclopedia of Mathematics and its Applications, vol. 44. Cambridge University Press, Cambridge (1992)

    MATH  Google Scholar 

  7. Da Prato, G., Zabczyk, J.: Second Order Partial Differential Equations in Hilbert Spaces. London Mathematical Society Lecture Note Series, vol. 293. Cambridge University Press, Cambridge (2002)

    MATH  Google Scholar 

  8. Debussche, A., Odasso, C.: Markov solutions for the 3D stochastic Navier–Stokes equations with state dependent noise. J. Evol. Equ. 6(2), 305–324 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  9. Flandoli, F., Gatarek, D.: Martingale and stationary solutions for stochastic Navier–Stokes equations. Probab. Theory Relat. Fields 102(3), 367–391 (1995)

    Article  MATH  MathSciNet  Google Scholar 

  10. Fleming, W.H., Soner, H.M.: Controlled Markov Processes and Viscosity Solutions, 2nd end. Stochastic Modelling and Applied Probability, vol. 25. Springer, New York (2006)

    MATH  Google Scholar 

  11. Gozzi, F.: Second order Hamilton–Jacobi equations in Hilbert spaces and stochastic optimal control. In: Stochastic Partial Differential Equations and Applications, Trento, 2002. Lecture Notes in Pure and Appl. Math., vol. 227, pp. 255–285. Dekker, New York (2002)

    Google Scholar 

  12. Gozzi, F., Sritharan, S.S., Święch, A.: Bellman equations associated to the optimal feedback control of stochastic Navier–Stokes equations. Commun. Pure Appl. Math. 58(5), 671–700 (2005)

    Article  MATH  Google Scholar 

  13. Khenri, D.: Geometricheskaya Teoriya Polulineinykh Parabolicheskikh Uravnenii. Mir, Moscow (1985) (In Russian). Translated from the English by A.Y. Daletskiĭ; translation edited and with a preface by Y.L. Daletskiĭ

    Google Scholar 

  14. Temam, R.: Navier–Stokes Equations. Theory and Numerical Analysis. Studies in Mathematics and its Applications, vol. 2. North-Holland, Amsterdam (1977)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Luigi Manca.

Additional information

This paper has been written at Scuola Normale Superiore di Pisa and at École Normale Supérieure de Cachan, Antenne de Bretagne.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Manca, L. On the Dynamic Programming Approach for the 3D Navier–Stokes Equations. Appl Math Optim 57, 329–348 (2008). https://doi.org/10.1007/s00245-007-9024-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00245-007-9024-7

Keywords

Navigation