Abstract
In this work, we discuss some asymptotic behavior of the stochastic two-dimensional viscoelastic fluid flow equations, arising from the Oldroyd model of order one, for the non-Newtonian fluid flows. We prove a central limit theorem and establish the moderate deviation principle for such models using a weak convergence method.
Similar content being viewed by others
References
Agranovich, Y.Y., Sobolevskii, P.E.: Investigation of viscoelastic fluid mathematical model. RAC. Ukranian SSR. Ser. A 10, 71–73 (1989)
Agranovich, Yu Ya., Sobolevskii, P.E.: The motion of non-linear viscoelastic fluid. RAC. USSR 314, 231–233 (1990)
Agranovich, Yu Ya., Sobolevskii, P.E.: Motion of non-linear viscoelastic fluid. Nonlinear Anal. 32, 755–760 (1998)
Barbu, V.: Nonlinear Semigroups and Differential Equations in Banach Spaces. Noordhoff, Leyden (1976)
Barbu, V., Bonaccorsi, S., Tubaro, L.: Existence and asymptotic behavior for hereditary stochastic evolution equations. Appl. Math. Optim. 69, 273–314 (2014)
Breit, D.: An introduction to stochastic Navier–Stokes equations. In: Bulícek, M., Feireisl, E., Pokorný, M. (eds.) New Trends and Results in Mathematical Description of Fluid Flows. Necas Center Series, pp. 1–51. Springer, Berlin (2018)
Burkholder, D.L.: The best constant in the Davis inequality for the expectation of the martingale square function. Trans. Am. Math. Soc. 354(1), 91–105 (2002)
Budhiraja, A., Dupuis, P.: A variational representation for positive functionals of infinite dimensional Brownian motion. Probab. Math. Stat. 20, 39–61 (2000)
Budhiraja, A., Dupuis, P., Maroulas, V.: Large deviations for infinite dimensional stochastic dynamical systems. Ann. Probab. 36, 1390–1420 (2008)
Cannon, J.R., Ewing, R.E., He, Y., Lin, Y.: A modified nonlinear Galerkin method for the viscoelastic fluid motion equations. Int. J. Eng. Sci. 37, 1643–1662 (1999)
Chen, X.: The moderate deviations of independent random vectors in a Banach space. Chin. J. Appl. Probab. Stat. 7, 24–33 (1991)
Chow, P.-L.: Stochastic Partial Differential Equations. Chapman & Hall/CRC, New York (2007)
Da Prato, G., Zabczyk, J.: Stochastic Equations in Infinite Dimensions. Cambridge University Press, Cambridge (1992)
Davis, B.: On the integrability of the martingale square function. Israel J. Math. 8(2), 187–190 (1970)
De Acosta, A.: Moderate deviations and associated Laplace approximations for sums of independent random vectors. Trans. Am. Math. Soc. 329, 357–375 (1992)
Dembo, A., Zeitouni, O.: Large Deviations Techniques and Applications. Springer, New York (2000)
Eichelsbacher, P., Löwe, M.: Moderate deviations for iid random variables. ESAIM Probab. Stat. 7, 209–218 (2003)
Flandoli, F.: An introduction to 3D stochastic fluid dynamics. In: Da Prato, G., Rückner, M. (eds.) SPDE in Hydrodynamic: Recent Progress and Prospects. Lecture Notes in Mathematics, vol. 1942, pp. 51–150. Springer, Berlin (2008)
Flandoli, F., Gatarek, D.: Martingale and stationary solution for stochastic Navier–Stokes equations. Probab. Theory Relat. Fields 102, 367–391 (1995)
Gourcy, M.: A large deviation principle for 2D stochastic Navier–Stokes equation. Stoch. Process. Appl. 117(7), 904–927 (2007)
Gynögy, I., Krylov, N.V.: On stochastic equations with respect to semimartingales II. Itô formula in Banach spaces. Stochastics 6(3–4), 153–173 (1982)
Haseena, A., Suvinthra, M., Mohan, M.T., Balachandran, K.: Moderate deviations for stochastic tidal dynamics equation with multiplicative noise. Appl. Anal. (2020). https://doi.org/10.1080/00036811.2020.1781827
Ikeda, N., Watanabe, S.: Stochastic Differential Equations and Diffusion Processes. North-Holland Mathematical Library, vol. 24. North-Holland, Amsterdam (1989)
Inglot, T., Kallenberg, W.: Moderate deviations of minimum contrast estimators under contamination. Ann. Stat. 31, 852–879 (2003)
Joseph, D.: Fluid Dynamics of Viscoelastic Liquids. Springer, New York (1990)
Karazeeva, N.A., Kotsiolis, A.A., Oskolkov, A.P.: Dynamical system generated by the equations of motion of an Oldroyd fluid of order \(L\). J. Sov. Math. 47(2), 2399–2403 (1989)
Karazeeva, N.A., Kotsiolis, A.A., Oskolkov, A.P.: Dynamic system and attractors generated by the initial boundary value problems for equations of motion of linear viscoelastic fluids. Trudy Mat. Inst. Steklov 188, 60–87 (1990)
Karazeeva, N.A., Kotsiolis, A.A., Oskolkov, A.P.: Dynamical systems generated by initial-boundary value problems for equations of motion of linear viscoelastic fluids. Proc. Steklov Inst. Math. 3, 73–108 (1991)
Klebaner, F.C., Lipster, R.: Moderate deviations for randomly perturbed dynamical systems. Stoch. Process. Appl. 80, 157–176 (1999)
Kotsiolis, A.A., Oskolkov, A.P.: On the solvability of fundamental initial-boundary value problem for the motion equations of Oldroyd’s fluid and the behavior of solutions, when \(t\rightarrow \infty \). Notes Sci. LOMI 150(6), 48–52 (1986)
Kotsiolis, A.A., Oskolkov, A.P.: On limit states and attractors for equations of motion of the Oldroyd fluids. Zap. Nauchn. Semin. POMI 152, 97–100 (1986)
Kotsiolis, A.A., Oskolkov, A.P.: On a dynamic system generated by equations of motion of the Oldroyd fluids. Zap. Nauchn. Semin. POMI 155, 119–125 (1986)
Kotsiolis, A.A., Oskolkov, A.P.: Dynamical system generated by the equations of motion of Oldroyd fluids. J. Sov. Math. 41(2), 967–970 (1988)
Kallenberg, W.: On moderate deviation theory in estimation. Ann. Stat. 11, 498–504 (1983)
Kallianpur, G., Xiong, J.: Stochastic Differential Equations in Infinite Dimensional Spaces. Institute of Mathematical Statistics, Hayward (1996)
Ladyzhenskaya, O.A.: The Mathematical Theory of Viscous Incompressible Flow. Gordon and Breach, New York (1969)
Manna, U., Mukherjee, D.: Strong solutions of stochastic models for viscoelastic flows of Oldroyd type. Nonlinear Anal. 165, 198–242 (2017)
Métivier, M.: Stochastic Partial Differential Equations in Infinite Dimensional spaces. Quaderni, Scuola Normale Superiore, Pisa (1988)
Mohan, M.T., Sritharan, S.S.: Stochastic Navier–Stokes equation perturbed by Lévy noise with hereditary viscosity. Infin. Dimens. Anal. Quantum Probab. Relat. Top. 22(1), 1950006 (2019)
Mohan, M.T.: Well posedness, large deviations and ergodicity of the stochastic 2D Oldroyd model of order one. Stoch. Process. Appl. 130(8), 4513–4562 (2020)
Mohan, M.T.: Deterministic and stochastic equations of motion arising in Oldroyd fluids of order one: existence, uniqueness, exponential stability and invariant measures. Stoch. Anal. Appl. 38(1), 1–61 (2020)
Mohan, M.T.: On the three dimensional Kelvin–Voigt fluids: global solvability, ex-ponential stability and exact controllability of Galerkin approximations. Evol. Equ. Control Theory 9(2), 301–339 (2020)
Ondreját, M.: Uniqueness for stochastic evolution equations in Banach spaces. Dissertationes Math. (Rozprawy Mat.) vol. 426 (2004)
Oldroyd, J.G.: Reologia-Mir, p. 805 (1962)
Oskolkov, A.P.: Initial boundary value problems for the equations of motion of Kelvin–Voigt fluids and Oldroyd fluids. Proc. Steklov Inst. Math. 2, 137–182 (1989)
Ortov, V.P., Sobolevskii, P.E.: On mathematical models of a viscoelastic with a memory. Differ. Integral Equ. 4, 103–115 (1991)
Razafimandimby, P.: On stochastic models describing the motions of randomly forced linear viscoelastic fluids. J. Inequal. Appl. 210, 932053 (2010)
Röckner, M., Schmuland, B., Zhang, X.: Yamada–Watanabe theorem for stochastic evolution equations in infinite dimensions. Condens. Matter Phys. 11(2), 247–259 (2008)
Skorokhod, A.V.: Limit theorems for stochastic processes. Theory Probab. Appl. 1(3), 261–290 (1956)
Sritharan, S.S., Sundar, P.: Large deviations for the two-dimensional Navier–Stokes equations with multiplicative noise. Stoch. Process. Appl. 116, 1636–1659 (2006)
Temam, R.: Navier–Stokes Equations, Theory and Numerical Analysis. North-Holland, Amsterdam (1984)
Temam, R.: Navier–Stokes equations and nonlinear functional analysis. In: CBMS-NSF Regional Conference Series in Applied Mathematics, 2nd edn. (1995)
Varadhan, S.R.S.: Large deviations and Applications. CBMS-NSF Series in Applied Mathematics, vol. 46. SIAM, Philadelphia (1984)
Visik, M.I., Fursikov, A.V.: Mathematical Problems of Statistical Hydromechanics. Kluwer, Dordrecht (1980)
Wang, R., Zhai, J., Zhang, T.: A moderate deviation principle for 2-D stochastic Navier–Stokes equations. J.Differ. Equ. 258, 3363–3390 (2015)
Wang, R., Zhang, T.S.: Moderate deviations for stochastic reaction-diffusion equations with multiplicative noise. Potential Anal. 42, 99–113 (2015)
Wu, L.: Moderate deviations of dependent random variables related to CLT. Ann. Probab. 23, 420–445 (1995)
Acknowledgements
M. T. Mohan would like to thank the Department of Science and Technology (DST), India for Innovation in Science Pursuit for Inspired Research (INSPIRE) Faculty Award (IFA17-MA110). The author sincerely would like to thank the reviewer for his/her valuable comments and suggestions.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Mohan, M.T. A central limit theorem and moderate deviation principle for the stochastic 2D Oldroyd model of order one. Stoch PDE: Anal Comp 9, 510–558 (2021). https://doi.org/10.1007/s40072-020-00176-5
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40072-020-00176-5
Keywords
- Viscoelastic fluids
- Oldroyd fluid
- Central limit theorem
- Large deviation principle
- Moderate deviation principle
- Skorokhod’s representation theorem