Skip to main content

Random vortex models and stochastic partial differential equations

  • Conference paper
  • First Online:
Book cover Stochastic Partial Differential Equations and Their Applications

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 176))

  • 216 Accesses

Abstract

We construct stochastic partial differential equations for the vorticity distribution of a two-dimensional simple fluid. The drift part of these equations is approximately given by the Navier-Stokes Equation and the diffusion part depends on the correlation assumptions for the positions of the centers of the vortices.

This research was supported by a grant from ONR. “The physical part, i.e., Remark 1.1, has been written by J. Adin Mann, Jr. alone; the mathematical part, i.e., the rest of the paper without Remark 1.1 has been written by Peter Kotelenez alone.”

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

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Dawson, D.A.: Stochastic evolution equations and related measure processes. J. Multivariate Anal. 5, 1–52 (1975).

    Google Scholar 

  2. Dynkin, E.B.: Markov processes 1. Springer, Berlin-New York (1965).

    Google Scholar 

  3. Kotelenez, P.: Existence, uniqueness and smoothenss for a class of function valued stochastic partial differential equations (preprint #91-111 Department of Mathematics and Statistics, Case Western Reserve University).

    Google Scholar 

  4. Kotelenez, P.: Stochastic partial differential equations for particle densities and vortices. (Manuscript in preparation).

    Google Scholar 

  5. Marchioro, C., Pulvirenti, M.: Hydrodynamics in two dimensions and vortex theory. Comm. Math. Phys. 84, 483–503 (1982).

    Google Scholar 

  6. Vaillancourt, J.: On the existence of random McKean-Vlasov limits for triangular arrays of exchangeable diffusions. Stoch. Anal. Appl. (1988).

    Google Scholar 

  7. Walsh, J.B.: An introduction to stochastic partial differential equations. In P.L. Hennequin (ed.) Ecole d'Ete de Probabilites de Saint-Flour XIV-1984. LN in Mathematics 1180. Berlin-Heidelberg-New York, Springer 1986.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Boris L. Rozovskii Richard B. Sowers

Rights and permissions

Reprints and permissions

Copyright information

© 1992 International Federation for Information Processing

About this paper

Cite this paper

Kotelenez, P., Mann, J.A. (1992). Random vortex models and stochastic partial differential equations. In: Rozovskii, B.L., Sowers, R.B. (eds) Stochastic Partial Differential Equations and Their Applications. Lecture Notes in Control and Information Sciences, vol 176. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0007329

Download citation

  • DOI: https://doi.org/10.1007/BFb0007329

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55292-5

  • Online ISBN: 978-3-540-47015-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics