On the small time asymptotics of the two-dimensional stochastic Navier–Stokes equations
Tiange Xu and Tusheng Zhang
Source: Ann. Inst. H. Poincaré Probab. Statist. Volume 45, Number 4
(2009), 1002-1019.
Abstract
In this paper, we establish a small time large deviation principle (small time asymptotics) for the two-dimensional stochastic Navier–Stokes equations driven by multiplicative noise, which not only involves the study of the small noise, but also the investigation of the effect of the small, but highly nonlinear, unbounded drifts.
Résumé
Dans cet article, nous établissons un principe de grandes déviations en temps petit pour l’équation de Navier–Stokes bi-dimensionnelle stochastique conduite par un bruit multiplicatif. Celui-ci nécessite non seulement l’étude d’un bruit faible, mais aussi la compréhension des effets de dérives petites mais non bornées et non linéaires.
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Links and Identifiers
Permanent link to this document: http://projecteuclid.org/euclid.aihp/1257529889
Digital Object Identifier: doi:10.1214/08-AIHP192
Mathematical Reviews number (MathSciNet): MR2572161
Zentralblatt MATH identifier: 1196.60119
References
[1] S. Aida and H. Kawabi. Short time asymptotics of a certain infinite dimensional diffusion process. In Stochastic Analysis and Related Topics, VII (Kusadasi, 1998) 77–124. Progr. Probab. 48. Birkhäuser Boston, Boston, MA, 2001.
[2] S. Aida and T. S. Zhang. On the small time asymptotics of diffusion processes on path groups. Potential Anal. 16 (2002) 67–78.
[3] M. T. Barlow and M. Yor. Semi-martingale inequalities via the Garsia–Rodemich–Rumsey lemma, and applications to local time. J. Funct. Anal. 49 (1982) 198–229.
Mathematical Reviews (MathSciNet):
MR680660
[4] G. Da Prato and J. Zabczyk. Stochastic Equations in Infinite Dimensions. Cambridge Univ. Press, Cambridge, 1992.
[5] B. Davis. On the Lp-norms of stochastic integrals and other martingales. Duke Math. J. 43 1976 697–704.
Mathematical Reviews (MathSciNet):
MR418219
[6] A. Dembo and O. Zeitouni. Large Deviations Techniques and Applications. Jones and Bartlett, Boston, 1993.
[7] S. Z. Fang and T. S. Zhang. On the small time behavior of Ornstein–Uhlenbeck processes with unbounded linear drifts. Probab. Theory Related Fields 114 (1999) 487–504.
[8] F. Flandoli and D. Gatarek. Martingale and stationary solution for stochastic Navier–Stokes equations. Probab. Theory Related Fields 102 (1995) 367–391.
[9] F. Flandoli. Dissipativity and invariant measures for stochastic Navier–Stokes equations. Nonlinear Differential Equations Appl. 1 (1994) 403–423.
[10] M. Gourcy. A large deviation principle for 2D stochastic Navier–Stokes equation. Stochastic Process. Appl. 117 (2007) 904–927.
[11] M. Hairer and J. C. Mattingly. Ergodicity of the 2-D Navier–Stokes equation with degenerate stochastic forcing. Ann. of Math. (2) 164 (2006) 993–1032.
[12] M. Hino and J. Ramirez. Small-time Gaussian behaviour of symmetric diffusion semigroup. Ann. Probab. 31 (2003) 1254–1295.
[13] R. Mikulevicius and B. L. Rozovskii. Global L2-solutions of stochastic Navier–Stokes equations. Ann. Probab. 33 (2005) 137–176.
[14] S. S. Sritharan and P. Sundar. Large deviation for the two dimensional Navier–Stokes equations with multiplicative noise. Stochastic Process. Appl. 116 (2006) 1636–1659.
[15] R. Teman. Navier–Stokes Equations and Nonlinear Functional Analysis. Soc. Industrial Appl. Math., Philadelphia, PA, 1983.
[16] S. R. S. Varadhan. Diffusion processes in small time intervals. Comm. Pure. Appl. Math. 20 (1967) 659–685.
Mathematical Reviews (MathSciNet):
MR217881
[17] T. S. Zhang. On the small time asymptotics of diffusion processes on Hilbert spaces. Ann. Probab. 28 (2000) 537–557.