Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Online Resource
    Online Resource
    Cambridge :Cambridge University Press,
    UID:
    almafu_9959238702002883
    Format: 1 online resource (xvi, 320 pages) : , digital, PDF file(s).
    Edition: 1st ed.
    ISBN: 1-139-88898-6 , 1-139-57957-6 , 1-139-56919-8 , 1-139-57275-X , 1-139-57352-7 , 1-139-57100-1 , 1-139-13711-5 , 1-283-63871-1 , 1-139-57009-9
    Series Statement: Cambridge tracts in mathematics ; 194
    Content: This book is dedicated to the mathematical study of two-dimensional statistical hydrodynamics and turbulence, described by the 2D Navier-Stokes system with a random force. The authors' main goal is to justify the statistical properties of a fluid's velocity field u(t,x) that physicists assume in their work. They rigorously prove that u(t,x) converges, as time grows, to a statistical equilibrium, independent of initial data. They use this to study ergodic properties of u(t,x) - proving, in particular, that observables f(u(t,.)) satisfy the strong law of large numbers and central limit theorem. They also discuss the inviscid limit when viscosity goes to zero, normalising the force so that the energy of solutions stays constant, while their Reynolds numbers grow to infinity. They show that then the statistical equilibria converge to invariant measures of the 2D Euler equation and study these measures. The methods apply to other nonlinear PDEs perturbed by random forces.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , Preliminaries -- Two-dimensional Navier-Stokes equations -- Uniqueness of stationary measure and mixing -- Ergodicity and limiting theorems -- Inviscid limit -- Miscellanies. , English
    Additional Edition: ISBN 1-107-02282-7
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages