Large deviation principle and inviscid shell models

被引:37
作者
Bessaih, Hakima [1 ]
Millet, Annie [2 ,3 ,4 ]
机构
[1] Univ Wyoming, Dept Math, Dept 3036, Laramie, WY 82071 USA
[2] Univ Paris 01, Ctr Econ Sorbonne, SAMOS, F-75634 Paris, France
[3] Univ Paris 06, Lab Probabil & Modeles Aleatoires, F-75252 Paris, France
[4] Univ Paris 07, F-75252 Paris 05, France
关键词
Shell models of turbulence; viscosity coefficient and inviscid models; stochastic PDEs; large deviations; NAVIER-STOKES EQUATIONS; MULTIPLICATIVE NOISE; ENERGY CASCADE; TURBULENCE; SYSTEMS;
D O I
10.1214/EJP.v14-719
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
A LDP is proved for the inviscid shell model of turbulence. As the viscosity coefficient v converges to 0 and the noise intensity is multiplied by root v, we prove that some shell models of turbulence with a multiplicative stochastic perturbation driven by a H-valued Brownian motion satisfy a LDP in C ([0, T], V) for the topology of uniform convergence on [0, T], but where V is endowed with a topology weaker than the natural one. The initial condition has to belong to V and the proof is based on the weak convergence of a family of stochastic control equations. The rate function is described in terms of the solution to the inviscid equation.
引用
收藏
页码:2551 / 2579
页数:29
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