Skip to main content
Log in

Measurability of Random Attractors for Quasi Strong-to-Weak Continuous Random Dynamical Systems

  • Published:
Journal of Dynamics and Differential Equations Aims and scope Submit manuscript

Abstract

In order to obtain the measurability of a random attractor, the RDS is usually required to be continuous which, however, is hard to verify in many applications. In this paper, we introduce a quasi strong-to-weak (abbrev. quasi-S2W) continuity and establish a new existence theorem for random attractors. It is shown that such continuity is equivalent to the closed-graph property for mappings taking values in weakly compact spaces. Moreover, it is inheritable: if a mapping is quasi-S2W continuous in some space, then so it is automatically in more regular subspaces. Also, a mapping with such continuity must be measurable. These results enable us to study random attractors in regularity spaces without further proving the system’s continuity. In addition, applying the core idea to bi-spatial random attractor theory we establish new existence theorems ensuring that the bi-spatial attractors are measurable in regularity spaces. As an application, for a stochastic reaction–diffusion equation with general conditions we study briefly the random attractor in \(H^1(\mathbb {R}^d)\), the \((L^2(\mathbb {R}^d), H^1(\mathbb {R}^d) )\)-random attractor and the \((L^2(\mathbb {R}^d),L^p(\mathbb {R}^d))\)-random attractor, \(p>2\), \(d\in \mathbb {N}\).

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. Bates, P.W., Lu, K., Wang, B.: Random attractors for stochastic reaction-diffusion equations on unbounded domains. J. Differ. Equ. 246(2), 845–869 (2009)

    Article  MathSciNet  Google Scholar 

  2. Cao, D., Sun, C., Yang, M.: Dynamics for a stochastic reaction-diffusion equation with additive noise. J. Differ. Equ. 259(3), 838–872 (2015)

    Article  MathSciNet  Google Scholar 

  3. Caraballo, T., Garrido-Atienza, M.J., Schmalfuß, B., Valero, J.: Non-autonomous and random attractors for delay random semilinear equations without uniqueness. Discrete Contin. Dyn. Syst. 21(2), 415–443 (2008)

    Article  MathSciNet  Google Scholar 

  4. Caraballo, T., Garrido-Atienza, M.J., Schmalfuss, B., Valero, J.: Asymptotic behaviour of a stochastic semilinear dissipative functional equation without uniqueness of solutions. Discrete Contin. Dyn. Syst. Ser. B 14(2), 439–455 (2010)

    Article  MathSciNet  Google Scholar 

  5. Castaing, C., Valadier, M.: Convex Analysis and Measurable Multifunctions. Lecture Notes in Mathematics, vol. 580. Springer, Berlin (1977)

    Book  Google Scholar 

  6. Chueshov, I.: Monotone Random Systems Theory and Applications, vol. 1779. Springer, Berlin (2002)

    MATH  Google Scholar 

  7. Coti Zelati, M., Kalita, P.: Minimality properties of set-valued processes and their pullback attractors. SIAM J. Math. Anal. 47(2), 1530–1561 (2015)

    Article  MathSciNet  Google Scholar 

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

    Article  MathSciNet  Google Scholar 

  9. Crauel, H., Flandoli, F.: Attractors for random dynamical systems. Probab. Theory Relat. Fields 100(3), 365–393 (1994)

    Article  MathSciNet  Google Scholar 

  10. Cui, H.: On cocycle and uniform attractors for multi-valued and random non-autonomous dynamical systems. Ph.D. Thesis (2017)

  11. Cui, H., Langa, J.A.: Uniform attractors for non-autonomous random dynamical systems. J. Differ. Equ. 263, 1225–1268 (2017)

    Article  MathSciNet  Google Scholar 

  12. Cui, H., Langa, J.A., Li, Y.: Regularity and structure of pullback attractors for reaction-diffusion type systems without uniqueness. Nonlinear Anal. Theory Methods Appl. 140, 208–235 (2016)

    Article  MathSciNet  Google Scholar 

  13. Cui, H., Li, Y., Yin, J.: Existence and upper semicontinuity of bi-spatial pullback attractors for smoothing cocycles. Nonlinear Anal. Theory Methods Appl. 128, 303–324 (2015)

    Article  MathSciNet  Google Scholar 

  14. Cui, H., Li, Y., Yin, J.: Long time behavior of stochastic MHD equations perturbed by multiplicative noises. J. Appl. Anal. Comput. 6(4), 1081–1104 (2016)

    MathSciNet  Google Scholar 

  15. Flandoli, F., Schmalfuss, B.: Random attractors for the 3D stochastic Navier-Stokes equation with multiplicative white noise. Stoch. Stoch. Rep. 59(1–2), 21–45 (1996)

    Article  Google Scholar 

  16. García-Luengo, J., Marín-Rubio, P., Real, J.: Pullback attractors in V for non-autonomous 2D-Navier–Stokes equations and their tempered behaviour. J. Differ. Equ. 252(8), 4333–4356 (2012)

    Article  MathSciNet  Google Scholar 

  17. Gess, B.: Random attractors for degenerate stochastic partial differential equations. J. Dyn. Differ. Equ. 25(1), 121–157 (2013)

    Article  MathSciNet  Google Scholar 

  18. Gess, B.: Random attractors for stochastic porous media equations perturbed by space-time linear multiplicative noise. Ann. Probab. 42(2), 818–864 (2014)

    Article  MathSciNet  Google Scholar 

  19. Hu, S., Papageorgiou, N.: Handbook of Multivalued Analysis, Theory, vol. i. Springer, Berlin (1997)

    Book  Google Scholar 

  20. Imkeller, P., Lederer, C.: The cohomology of stochastic and random differential equations, and local linearization of stochastic flows. Stoch. Dyn. 2(02), 131–159 (2002)

    Article  MathSciNet  Google Scholar 

  21. Imkeller, P., Schmalfuss, B.: The conjugacy of stochastic and random differential equations and the existence of global attractors. J. Dyn. Differ. Equ. 13(2), 215–249 (2001)

    Article  MathSciNet  Google Scholar 

  22. Kloeden, P.E., Langa, J.A.: Flattening, squeezing and the existence of random attractors. In: Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, vol. 463, pp. 163–181. The Royal Society (2007)

  23. Li, Y., Cui, H., Li, J.: Upper semi-continuity and regularity of random attractors on \(p\)-times integrable spaces and applications. Nonlinear Anal. Theory Methods Appl. 109, 33–44 (2014)

    Article  MathSciNet  Google Scholar 

  24. Li, Y., Gu, A., Li, J.: Existence and continuity of bi-spatial random attractors and application to stochastic semilinear Laplacian equations. J. Differ. Equ. 258(2), 504–534 (2015)

    Article  MathSciNet  Google Scholar 

  25. Li, Y., Guo, B.: Random attractors for quasi-continuous random dynamical systems and applications to stochastic reaction-diffusion equations. J. Differ. Equ. 245, 1775–1800 (2008)

    Article  MathSciNet  Google Scholar 

  26. Li, Y., Yin, J.: A modified proof of pullback attractors in a Sobolev space for stochastic FitzHugh–Nagumo equations. Discrete Contin. Dyn. Syst. Ser. B 21(4), 1203–1223 (2016)

    Article  MathSciNet  Google Scholar 

  27. Li, Y., Zhong, C.: Pullback attractors for the norm-to-weak continuous process and application to the nonautonomous reaction-diffusion equations. Appl. Math. Comput. 190(2), 1020–1029 (2007)

    MathSciNet  MATH  Google Scholar 

  28. Ma, Q., Wang, S., Zhong, C.: Necessary and sufficient conditions for the existence of global attractors for semigroups and applications. Indiana Univ. Math. J. 51, 1541–1559 (2002)

    Article  MathSciNet  Google Scholar 

  29. Pata, V., Zelik, S.: A result on the existence of global attractors for semigroups of closed operators. Commun. Pure Appl. Anal. 6(2), 481–486 (2007)

    Article  MathSciNet  Google Scholar 

  30. Qiao, H., Duan, J.: Topological equivalence for discontinuous random dynamical systems and applications. Stoch. Dyn. 14(1), 1350007 (2014). doi:10.1142/S021949371350007X

    Article  MathSciNet  Google Scholar 

  31. Robinson, J.C.: Infinite-Dimensional Dynamical Systems: An Introduction to Dissipative Parabolic PDEs and the Theory of Global Attractors, vol. 28. Cambridge University Press, Cambridge (2001)

    MATH  Google Scholar 

  32. Tang, B.Q.: Regularity of random attractors for stochastic reaction-diffusion equations on unbounded domains. Stoch. Dyn. 16(1), 1650006 (2016). doi:10.1142/S0219493716500064

    Article  MathSciNet  Google Scholar 

  33. Vishik, M., Fursikov, A.: Mathematical Problems of Statistical Hydromechanics. Kluwer Academic Publishers, Boston (1988)

    Book  Google Scholar 

  34. Wang, B.: Pullback attractors for non-autonomous reaction-diffusion equations on \(R^n\). Front. Math. China 4, 563–583 (2009)

    Article  MathSciNet  Google Scholar 

  35. Wang, B.: Sufficient and necessary criteria for existence of pullback attractors for non-compact random dynamical systems. J. Differ. Equ. 253, 1544–1583 (2012)

    Article  MathSciNet  Google Scholar 

  36. Wang, B.: Random attractors for non-autonomous stochastic wave equations with multiplicative noise. Discrete Contin. Dyn. Syst. 34(1), 269–300 (2014)

    Article  MathSciNet  Google Scholar 

  37. Wang, B.: Multivalued non-autonomous random dynamical systems for wave equations without uniqueness. Discrete Contin. Dyn. Syst. Ser. B 22, 2011–2051 (2017)

    Article  MathSciNet  Google Scholar 

  38. Wang, Y., Wang, J.: Pullback attractors for multi-valued non-compact random dynamical systems generated by reaction-diffusion equations on an unbounded domain. J. Differ. Equ. 259(2), 728–776 (2015)

    Article  MathSciNet  Google Scholar 

  39. Zhao, W.: \(H^1\)-random attractors for stochastic reaction-diffusion equations with additive noise. Nonlinear Anal. Theory Methods Appl. 84, 61–72 (2013)

    Article  MathSciNet  Google Scholar 

  40. Zhao, W., Li, Y.: \( (L^2, L^p)\)-random attractors for stochastic reaction-diffusion equation on unbounded domains. Nonlinear Anal. Theory Methods Appl. 75, 485–502 (2012)

    Article  MathSciNet  Google Scholar 

  41. Zhong, C., Yang, M., Sun, C.: The existence of global attractors for the norm-to-weak continuous semigroup and application to the nonlinear reaction-diffusion equations. J. Differ. Equ. 223(2), 367–399 (2006)

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

The authors would like to express their sincere thanks to the referees for valuable comments and suggestions which led to a good improvement of this paper. Cui and Li was supported by National Natural Science Foundation of China Grant 11571283. Cui was partially funded by China Postdoctoral Science Foundation 2017M612430 and State Scholarship Fund 201506990049. Langa was partially supported by Junta de Andalucí́a under Proyecto de Excelencia FQM-1492, Brazilian-European partnership in Dynamical Systems (BREUDS) from the FP7-IRSES Grant of the European Union and FEDER Ministerio de Economiá y Competitividad Grant MTM2015-63723-P.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yangrong Li.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Cui, H., Langa, J.A. & Li, Y. Measurability of Random Attractors for Quasi Strong-to-Weak Continuous Random Dynamical Systems. J Dyn Diff Equat 30, 1873–1898 (2018). https://doi.org/10.1007/s10884-017-9617-z

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10884-017-9617-z

Keywords

Navigation