Navier-Stokes equations and turbulence /

This book aims to bridge the gap between practising mathematicians and the practitioners of turbulence theory. It presents the mathematical theory of turbulence to engineers and physicists, and the physical theory of turbulence to mathematicians. The book is the result of many years of research by t...

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Bibliographic Details
Other Authors: Foiaş, Ciprian, Foiaş, Ciprian
Format: Book
Language:English
Published: Cambridge ; New York : Cambridge University Press, 2001
Cambridge, U.K. ; New York : 2001
Cambridge, UK ; New York : c2001
New York : 2001
Series:Encyclopedia of mathematics and its applications ; v. 83
Encyclopedia of mathematics and its applications ; v. 83
Encyclopedia of mathematics and its applications ; v. 83
Encyclopedia of mathematics and its applications v. 83
Subjects:
Table of Contents:
  • Ch. I Introduction and Overview of Turbulence
  • 1. Viscous Fluids. The Navier-Stokes Equations
  • 2. Turbulence: Where the Interests of Engineers and Mathematicians Overlap
  • 3. Elements of the Theories of Turbulence of Kolmogorov and Kraichnan
  • 4. Function Spaces, Functional Inequalities, and Dimensional Analysis
  • Ch. II. Elements of the Mathematical Theory of the Navier-Stokes Equations
  • 1. Energy and Enstrophy
  • 2. Boundary Value Problems
  • 3. Helmholtz-Leray Decomposition of Vector Fields
  • 4. Weak Formulation of the Navier-Stokes Equations
  • 5. Function Spaces
  • 6. The Stokes Operator
  • 7. Existence and Uniqueness of Solutions: The Main Results
  • 8. Analyticity in Time
  • 9. Gevrey Class Regularity and the Decay of the Fourier Coefficients
  • 10. Function Spaces for the Whole-Space Case
  • 11. The No-Slip Case with Moving Boundaries
  • 12. Dissipation Rate of Flows
  • 13. Nondimensional Estimates and the Grashof Number
  • Ch. III. Finite Dimensionality of Flows
  • 1. Determining Modes
  • 2. Determining Nodes
  • 3. Attractors and Their Fractal Dimension
  • 4. Approximate Inertial Manifolds
  • Ch. IV. Stationary Statistical Solutions of the Navier-Stokes Equations, Time Averages, and Attractors
  • 1. Mathematical Framework, Definition of Stationary Statistical Solutions, and Banach Generalized Limits
  • 2. Invariant Measures and Stationary Statistical Solutions in Dimension 2
  • 3. Stationary Statistical Solutions in Dimension 3
  • 4. Attractors and Stationary Statistical Solutions
  • 5. Average Transfer of Energy and the Cascades in Turbulent Flows. App. C. A Mathematical Complement: The Accretivity Property in Dimension 3
  • Ch. V. Time-Dependent Statistical Solutions of the Navier-Stokes Equations and Fully Developed Turbulence
  • 1. Time-Dependent Statistical Solutions of Bounded Domains
  • 2. Homogeneous Statistical Solutions
  • 3. Reynolds Equation for the Average Flow
  • 4. Self-Similar Homogeneous Statistical Solutions
  • 5. Relation with and Application to the Conventional Theory of Turbulence
  • 6. Some Concluding Remarks.
  • Ch. I Introduction and Overview of Turbulence
  • 1. Viscous Fluids. The Navier-Stokes Equations
  • 2. Turbulence: Where the Interests of Engineers and Mathematicians Overlap
  • 3. Elements of the Theories of Turbulence of Kolmogorov and Kraichnan
  • 4. Function Spaces, Functional Inequalities, and Dimensional Analysis
  • Ch. II. Elements of the Mathematical Theory of the Navier-Stokes Equations
  • 1. Energy and Enstrophy
  • 2. Boundary Value Problems
  • 3. Helmholtz-Leray Decomposition of Vector Fields
  • 4. Weak Formulation of the Navier-Stokes Equations
  • 5. Function Spaces
  • 6. The Stokes Operator
  • 7. Existence and Uniqueness of Solutions: The Main Results
  • 8. Analyticity in Time
  • 9. Gevrey Class Regularity and the Decay of the Fourier Coefficients
  • 10. Function Spaces for the Whole-Space Case
  • 11. The No-Slip Case with Moving Boundaries
  • 12. Dissipation Rate of Flows
  • 13. Nondimensional Estimates and the Grashof Number
  • Ch. III. Finite Dimensionality of Flows
  • 1. Determining Modes
  • 2. Determining Nodes
  • 3. Attractors and Their Fractal Dimension
  • 4. Approximate Inertial Manifolds
  • Ch. IV. Stationary Statistical Solutions of the Navier-Stokes Equations, Time Averages, and Attractors
  • 1. Mathematical Framework, Definition of Stationary Statistical Solutions, and Banach Generalized Limits
  • 2. Invariant Measures and Stationary Statistical Solutions in Dimension 2
  • 3. Stationary Statistical Solutions in Dimension 3
  • 4. Attractors and Stationary Statistical Solutions
  • 5. Average Transfer of Energy and the Cascades in Turbulent Flows. App. C. A Mathematical Complement: The Accretivity Property in Dimension 3
  • Ch. V. Time-Dependent Statistical Solutions of the Navier-Stokes Equations and Fully Developed Turbulence
  • 1. Time-Dependent Statistical Solutions of Bounded Domains
  • 2. Homogeneous Statistical Solutions
  • Ch. I Introduction and Overview of Turbulence. 1. Viscous Fluids. The Navier-Stokes Equations. 2. Turbulence: Where the Interests of Engineers and Mathematicians Overlap. 3. Elements of the Theories of Turbulence of Kolmogorov and Kraichnan. 4. Function Spaces, Functional Inequalities, and Dimensional Analysis
  • Ch. II. Elements of the Mathematical Theory of the Navier-Stokes Equations. 1. Energy and Enstrophy. 2. Boundary Value Problems. 3. Helmholtz-Leray Decomposition of Vector Fields. 4. Weak Formulation of the Navier-Stokes Equations. 5. Function Spaces. 6. The Stokes Operator. 7. Existence and Uniqueness of Solutions: The Main Results. 8. Analyticity in Time. 9. Gevrey Class Regularity and the Decay of the Fourier Coefficients. 10. Function Spaces for the Whole-Space Case. 11. The No-Slip Case with Moving Boundaries. 12. Dissipation Rate of Flows. 13. Nondimensional Estimates and the Grashof Number
  • Ch. III. Finite Dimensionality of Flows.
  • Introduction and Overview of Turbulence
  • Viscous Fluids. The Navier-Stokes Equations
  • Turbulence: Where the Interests of Engineers and Mathematicians Overlap
  • Elements of the Theories of Turbulence of Kolmogorov and Kraichnan
  • Function Spaces, Functional Inequalities, and Dimensional Analysis
  • Elements of the Mathematical Theory of the Navier-Stokes Equations
  • Energy and Enstrophy
  • Boundary Value Problems
  • Helmholtz-Leray Decomposition of Vector Fields
  • Weak Formulation of the Navier-Stokes Equations
  • Function Spaces
  • The Stokes Operator
  • Existence and Uniqueness of Solutions: The Main Results
  • Analyticity in Time
  • Gevrey Class Regularity and the Decay of the Fourier Coefficients
  • Function Spaces for the Whole-Space Case
  • The No-Slip Case with Moving Boundaries
  • Dissipation Rate of Flows
  • Nondimensional Estimates and the Grashof Number
  • Mathematical Complements
  • Proofs of Technical Results in Chapter II
  • Finite Dimensionality of Flows
  • Determining Modes
  • Determining Nodes
  • Attractors and Their Fractal Dimension
  • Approximate Inertial Manifolds
  • Proofs of Technical Results in Chapter III
  • Stationary Statistical Solutions of the Navier-Stokes Equations, Time Averages, and Attractors
  • Mathematical Framework, Definition of Stationary Statistical Solutions, and Banach Generalized Limits
  • Invariant Measures and Stationary Statistical Solutions in Dimension 2
  • Stationary Statistical Solutions in Dimension 3
  • Attractors and Stationary Statistical Solutions
  • Ch. I Introduction and Overview of Turbulence
  • 1. Viscous Fluids. The Navier-Stokes Equations
  • 2. Turbulence: Where the Interests of Engineers and Mathematicians Overlap
  • 3. Elements of the Theories of Turbulence of Kolmogorov and Kraichnan
  • 4. Function Spaces, Functional Inequalities, and Dimensional Analysis.
  • Ch. II Elements of the Mathematical Theory of the Navier-Stokes Equations
  • 1. Energy and Enstrophy
  • 2. Boundary Value Problems
  • 3. Helmholtz-Leray Decomposition of Vector Fields
  • 4. Weak Formulation of the Navier-Stokes Equations
  • 5. Function Spaces
  • 6. The Stokes Operator
  • 7. Existence and Uniqueness of Solutions: The Main Results
  • 8. Analyticity in Time
  • 9. Gevrey Class Regularity and the Decay of the Fourier Coefficients
  • 10. Function Spaces for the Whole-Space Case
  • 11. The No-Slip Case with Moving Boundaries
  • 12. Dissipation Rate of Flows
  • 13. Nondimensional Estimates and the Grashof Number.
  • Ch. III Finite Dimensionality of Flows
  • 1. Determining Modes
  • 2. Determining Nodes
  • 3. Attractors and Their Fractal Dimension
  • 4. Approximate Inertial Manifolds.
  • Ch. IV Stationary Statistical Solutions of the Navier-Stokes Equations, Time Averages, and Attractors
  • 1. Mathematical Framework, Definition of Stationary Statistical Solutions, and Banach Generalized Limits
  • 2. Invariant Measures and Stationary Statistical Solutions in Dimension 2
  • 3. Stationary Statistical Solutions in Dimension 3
  • 4. Attractors and Stationary Statistical Solutions
  • 5. Average Transfer of Energy and the Cascades in Turbulent Flows.
  • Ch. V Time-Dependent Statistical Solutions of the Navier-Stokes Equations and Fully Developed Turbulence
  • 1. Time-Dependent Statistical Solutions of Bounded Domains
  • 2. Homogeneous Statistical Solutions
  • 3. Reynolds Equation for the Average Flow
  • 4. Self-Similar Homogeneous Statistical Solutions
  • 5. Relation with and Application to the Conventional Theory of Turbulence
  • 6. Some Concluding Remarks.
  • App. C A Mathematical Complement: The Accretivity Property in Dimension 3
  • 1 Determining Modes. 2. Determining Nodes. 3. Attractors and Their Fractal Dimension. 4. Approximate Inertial Manifolds
  • Ch. IV. Stationary Statistical Solutions of the Navier-Stokes Equations, Time Averages, and Attractors. 1. Mathematical Framework, Definition of Stationary Statistical Solutions, and Banach Generalized Limits. 2. Invariant Measures and Stationary Statistical Solutions in Dimension 2. 3. Stationary Statistical Solutions in Dimension 3. 4. Attractors and Stationary Statistical Solutions. 5. Average Transfer of Energy and the Cascades in Turbulent Flows. App. C. A Mathematical Complement: The Accretivity Property in Dimension 3
  • Ch. V. Time-Dependent Statistical Solutions of the Navier-Stokes Equations and Fully Developed Turbulence. 1. Time-Dependent Statistical Solutions of Bounded Domains. 2. Homogeneous Statistical Solutions. 3. Reynolds Equation for the Average Flow. 4. Self-Similar Homogeneous Statistical Solutions.
  • 3 Reynolds Equation for the Average Flow
  • 4. Self-Similar Homogeneous Statistical Solutions
  • 5. Relation with and Application to the Conventional Theory of Turbulence
  • 6. Some Concluding Remarks.
  • 5 Relation with and Application to the Conventional Theory of Turbulence. 6. Some Concluding Remarks.