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Stochastic Swift-Hohenberg Equation with Degenerate Linear Multiplicative Noise

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Abstract

We study the dynamic transition of the Swift-Hohenberg equation (SHE) when linear multiplicative noise acting on a finite set of modes of the dominant linear flow is introduced. Existence of a stochastic flow and a local stochastic invariant manifold for this stochastic form of SHE are both addressed in this work. We show that the approximate reduced system corresponding to the invariant manifold undergoes a stochastic pitchfork bifurcation, and obtain numerical evidence suggesting that this picture is a good approximation for the full system as well.

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References

  1. Birnir, B.: The Kolmogorov–Obukhov Theory of Turbulence: A Mathematical Theory of Turbulence. Springer Briefs in Mathematics. Springer, New York (2013)

    Book  MATH  Google Scholar 

  2. Budd, C., Kuske, R.: Localized periodic patterns for the non-symmetric generalized swift-hohenberg equation. Phys. D 208, 73–95 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  3. Caraballo, T., Crauel, H., Langa, J., Robinson, J.: The effect of noise on the chafee-infante equation: a nonlinear case study. Proc. Am. Math. Soc. 135, 373–382 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  4. Caraballo, T., Duan, J., Lu, K., Schmalfuss, B.: Invariant manifolds for random and stochastic partial differential equations. Adv. Nonlinear Stud. 10(1), 23–52 (2010)

    MathSciNet  MATH  Google Scholar 

  5. Caraballo, T., Langa, J., Robinson, J.: A stochastic pitchfork bifurcation in a reaction-diffusion equation. Proc. R. Soc. Lond. A 457, 2041–2061 (2001)

    Article  ADS  MathSciNet  MATH  Google Scholar 

  6. Chekroun, M.D., Liu, H., Wang, S.: Stochastic parameterizing manifolds: applicaion to stochastic transitions in spdes, in preparation

  7. Chekroun, M.D., Liu, H., Wang, S.: Approximation of Stochastic Invariant Manifolds: Stochastic Manifolds for Nonlinear SPDEs I. Springer Briefs in Mathematics. Springer, New York (2015)

    Book  MATH  Google Scholar 

  8. Chekroun, M.D., Liu, H., Wang, S.: Stochastic Parameterizing Manifolds and Non-Markovian Reduced Equations: Stochastic Manifolds for Nonlinear SPDEs II. Springer Briefs in Mathematics. Springer, New York (2015)

    Book  MATH  Google Scholar 

  9. Chekroun, M.D., Simonnet, E., Ghil, M.: Stochastic climate dynamics: random attractors and time-dependent invariant measures. Phys. D 21, 1685–1700 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  10. Collet, P., Eckmann, J.: Instabilities and Fronts in Extended Systems. Princeton Series in Physics. Princeton University Press, Princeton (1990)

    Book  MATH  Google Scholar 

  11. Crauel, H., Debussche, A., Flandoli, F.: Random attractors. J. Dyn. Differ. Equ. 9(2), 307–341 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  12. Cross, M., Hohenberg, P.: Pattern formation outside of equilibrium. Rev. Mod. Phys. 65, 851–1112 (1993)

    Article  ADS  MATH  Google Scholar 

  13. Duan, J., Wang, W.: Effective Dynamics of Stochastic Partial Differential Equations. Elsevier, Amsterdam (2014)

    MATH  Google Scholar 

  14. Engel, K.J., Nagel, R.: One-Parameter Semigroups for Linear Evolution Equations. Graduate Texts in Mathematics, vol. 194. Springer, New York (2000)

    MATH  Google Scholar 

  15. Hadamard, J.: Sur l’iteration et les solutions asymptotiques des equations differentielles. Bull. Soc. Math. France 29, 224–228 (1901)

    MATH  Google Scholar 

  16. Han, J., Hsia, C.: Dynamical bifurcation of the two dimensional swift-hohenberg equation with odd periodic condition. Discrete Contin. Dyn. Syst. Ser. B 17(7), 2431–2449 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  17. Henry, D.: Geometric Theory of Semilinear Parabolic Equations. Lecture Notes in Mathematics, vol. 840. Springer, New York (1981)

    MATH  Google Scholar 

  18. Hilali, M.F., Mtens, S., Borckmans, P., Dewel, G.: Pattern selection in the generalized swift-hohenberg model. Phys. Rev. E 51, 2046–2052 (1995)

    Article  ADS  Google Scholar 

  19. Klebaner, F.: Introduction to Stochastic Calculus with Applications, 2nd edn. Imperial College Press, London (2005)

    Book  MATH  Google Scholar 

  20. Liapunov, A.: Problème géneral de la stabilité du mouvement. Princeton University Press, Princeton (1947)

    Google Scholar 

  21. Ma, T., Wang, S.: Phase Transition Dynamics. Springer, New York (2014)

    Book  MATH  Google Scholar 

  22. Mao, X.: Stochastic Differential Equations and Applications, 2nd edn. Horwood Publishing Limited, Chichester (2008)

    Book  Google Scholar 

  23. Mohammad, S., Zhang, T., Zhao, H.: The stable manifold theorem for semilinear stochastick evolution equations and stochastic partial differential equations. Mem. Am. Math. Soc. 196(917), 1–105 (2008)

    Google Scholar 

  24. Oksendal, B.: Stochastic Differential Equations: An Introduction with Apllications, 6th edn. Springer, Berlin (2013)

    Google Scholar 

  25. Perron, O.: Über stabilität und asymptotisches verhalten der integrale von differentialgleichungssystemen. Math. Z. 29, 129–160 (1928)

    Article  MATH  Google Scholar 

  26. Swift, J., Hohenberg, P.C.: Hydrodynamic fluctuations at the convective instability. Phys. Rev. A 15, 319–328 (1977)

    Article  ADS  Google Scholar 

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Correspondence to Kiah Wah Ong.

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All authors declare that they have no conflict of interest.

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Communicated by S. Friedlander

This research is supported in part by the National Science Foundation (NSF) Grant DMS-1515024, and by the Office of Naval Research (ONR) Grant N00014-15-1-2662. The authors would also like to thank Professor Shouhong Wang for his suggestions and advice.

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Hernández, M., Ong, K.W. Stochastic Swift-Hohenberg Equation with Degenerate Linear Multiplicative Noise. J. Math. Fluid Mech. 20, 1353–1372 (2018). https://doi.org/10.1007/s00021-018-0368-3

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