The Kolmogorov-Obukhov Theory of Turbulence

A Mathematical Theory of Turbulence

  • Bjorn Birnir

Part of the SpringerBriefs in Mathematics book series (BRIEFSMATH)

Table of contents

  1. Front Matter
    Pages i-x
  2. Björn Birnir
    Pages 75-88
  3. Back Matter
    Pages 89-108

About this book


​​​​​​​Turbulence is a major problem facing modern societies. It makes airline passengers return to their seats and fasten their seatbelts but it also creates drag on the aircraft that causes it to use more fuel and create more pollution. The same applies to cars, ships and the space shuttle. The mathematical theory of turbulence has been an unsolved problems for 500 years and the development of the statistical theory of the Navier-Stokes equations describes turbulent flow has been an open problem. The Kolmogorov-Obukhov Theory of Turbulence develops a statistical theory of turbulence from the stochastic Navier-Stokes equation and the physical theory, that was proposed by Kolmogorov and Obukhov in 1941. The statistical theory of turbulence shows that the noise in developed turbulence is a general form which can be used to present a mathematical model for the stochastic Navier-Stokes equation. The statistical theory of the stochastic Navier-Stokes equation is developed in a pedagogical manner and shown to imply the Kolmogorov-Obukhov statistical theory. This book looks at a new mathematical theory in turbulence which may lead to many new developments in vorticity and Lagrangian turbulence. But even more importantly it may produce a systematic way of improving direct Navier-Stokes simulations and lead to a major jump in the technology both preventing and utilizing turbulence.


Brownian Motion Generalized Hyperbolic Distributions Inertial Range Kolmogorov- Obukov Scaling Navier-Stokes Equation Poisson Processes,

Authors and affiliations

  • Bjorn Birnir
    • 1
  1. 1., Department of MathematicsUniversity of CaliforniaSanta BarbaraUSA

Bibliographic information

  • DOI
  • Copyright Information Björn Birnir 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4614-6261-3
  • Online ISBN 978-1-4614-6262-0
  • Series Print ISSN 2191-8198
  • Series Online ISSN 2191-8201
  • About this book