Málstofa í stærðfræði
Fyrirlesari: Björn Birnir, University of California, Santa Barbara og Háskóli Íslands
Titill: Stochastic Closure in Turbulence
Staðsetning: V-158, VRII
Tími: Þriðjudagur 8. júlí, frá 14:00 til 15:00.
Ágrip:
We will discuss the closure problem in turbulence and how it can be solved using basic theorems in probability and stochastic partial differential equations. The existence of stochastic processes describing turbulent> solutions of the full Navier-Stokes equation, will be discussed. These turbulent solutions can then be used to proof the existence of an invariant measure in dimensions one, two and three. The invariant measure characterizes the statistically stationary state of turbulence. It determines all the deterministic properties of turbulence and everything that can be computed and measured. In particular, the invariant measure determines the probability density of the turbulent velocity and velocity differences. It gives a proof of the celebrated Kolmogorov-Obukhov scaling with the She-Leveque intermittency corrections. This can then be used to develop accurate sub-grid models in computations of turbulence, by-passing the problem that three-dimensional turbulence cannot be fully resolved with currently existing computer technology. We will also discuss applications of the theory to homogeneous turbulence, boundary value problems and Lagrangian.Math Colloquium
Speaker: Björn Birnir, University of California, Santa Barbara and The University of Iceland
Title: Stochastic Closure in Turbulence
Location: V-158, VRII
Time: Tuesday, July 8th, 14:00-15:00.
Abstract:
We will discuss the closure problem in turbulence and how it can be solved using basic theorems in probability and stochastic partial differential equations. The existence of stochastic processes describing turbulent> solutions of the full Navier-Stokes equation, will be discussed. These turbulent solutions can then be used to proof the existence of an invariant measure in dimensions one, two and three. The invariant measure characterizes the statistically stationary state of turbulence. It determines all the deterministic properties of turbulence and everything that can be computed and measured. In particular, the invariant measure determines the probability density of the turbulent velocity and velocity differences. It gives a proof of the celebrated Kolmogorov-Obukhov scaling with the She-Leveque intermittency corrections. This can then be used to develop accurate sub-grid models in computations of turbulence, by-passing the problem that three-dimensional turbulence cannot be fully resolved with currently existing computer technology. We will also discuss applications of the theory to homogeneous turbulence, boundary value problems and Lagrangian.