IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i22p4246-d971322.html
   My bibliography  Save this article

Speed of Convergence of Time Euler Schemes for a Stochastic 2D Boussinesq Model

Author

Listed:
  • Hakima Bessaih

    (Mathematics and Statistics Department, Florida International University, 11200 SW 8th Street, Miami, FL 33199, USA)

  • Annie Millet

    (Statistique, Analyse et Modélisation Multidisciplinaire, EA 4543, Université Paris 1 Panthéon Sorbonne, Centre Pierre Mendès France, 90 Rue de Tolbiac, CEDEX, 75634 Paris, France
    Laboratoire de Probabilités, Statistique et Modélisation, UMR 8001, Universités Paris 6-Paris 7, Place Aurélie Nemours, 75013 Paris, France)

Abstract

We prove that an implicit time Euler scheme for the 2D Boussinesq model on the torus D converges. The various moments of the W 1 , 2 -norms of the velocity and temperature, as well as their discretizations, were computed. We obtained the optimal speed of convergence in probability, and a logarithmic speed of convergence in L 2 ( Ω ) . These results were deduced from a time regularity of the solution both in L 2 ( D ) and W 1 , 2 ( D ) , and from an L 2 ( Ω ) convergence restricted to a subset where the W 1 , 2 -norms of the solutions are bounded.

Suggested Citation

  • Hakima Bessaih & Annie Millet, 2022. "Speed of Convergence of Time Euler Schemes for a Stochastic 2D Boussinesq Model," Mathematics, MDPI, vol. 10(22), pages 1-39, November.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:22:p:4246-:d:971322
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/22/4246/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/10/22/4246/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Duan, Jinqiao & Millet, Annie, 2009. "Large deviations for the Boussinesq equations under random influences," Stochastic Processes and their Applications, Elsevier, vol. 119(6), pages 2052-2081, June.
    2. Hannelore Breckner, 2000. "Galerkin approximation and the strong solution of the Navier-Stokes equation," International Journal of Stochastic Analysis, Hindawi, vol. 13, pages 1-21, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Maroulas, Vasileios & Pan, Xiaoyang & Xiong, Jie, 2020. "Large deviations for the optimal filter of nonlinear dynamical systems driven by Lévy noise," Stochastic Processes and their Applications, Elsevier, vol. 130(1), pages 203-231.
    2. Budhiraja, Amarjit & Chen, Jiang & Dupuis, Paul, 2013. "Large deviations for stochastic partial differential equations driven by a Poisson random measure," Stochastic Processes and their Applications, Elsevier, vol. 123(2), pages 523-560.
    3. Deugoué, G. & Tachim Medjo, T., 2023. "Large deviation for a 3D globally modified Cahn–Hilliard–Navier–Stokes model under random influences," Stochastic Processes and their Applications, Elsevier, vol. 160(C), pages 33-71.
    4. Ganguly, Arnab, 2018. "Large deviation principle for stochastic integrals and stochastic differential equations driven by infinite-dimensional semimartingales," Stochastic Processes and their Applications, Elsevier, vol. 128(7), pages 2179-2227.
    5. Du, Lihuai & Zhang, Ting, 2020. "Local and global existence of pathwise solution for the stochastic Boussinesq equations with multiplicative noises," Stochastic Processes and their Applications, Elsevier, vol. 130(3), pages 1545-1567.
    6. Pappalettera, Umberto, 2022. "Large deviations for stochastic equations in Hilbert spaces with non-Lipschitz drift," Stochastic Processes and their Applications, Elsevier, vol. 153(C), pages 1-20.
    7. Liu, Wei & Röckner, Michael & Zhu, Xiang-Chan, 2013. "Large deviation principles for the stochastic quasi-geostrophic equations," Stochastic Processes and their Applications, Elsevier, vol. 123(8), pages 3299-3327.
    8. Cai, Yujie & Huang, Jianhui & Maroulas, Vasileios, 2015. "Large deviations of mean-field stochastic differential equations with jumps," Statistics & Probability Letters, Elsevier, vol. 96(C), pages 1-9.
    9. Salins, M., 2021. "Systems of small-noise stochastic reaction–diffusion equations satisfy a large deviations principle that is uniform over all initial data," Stochastic Processes and their Applications, Elsevier, vol. 142(C), pages 159-194.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:10:y:2022:i:22:p:4246-:d:971322. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.