Introduction to turbulent dynamical systems in complex systems. (2016)
- Record Type:
- Book
- Title:
- Introduction to turbulent dynamical systems in complex systems. (2016)
- Main Title:
- Introduction to turbulent dynamical systems in complex systems
- Further Information:
- Note: Andrew J. Majda.
- Authors:
- Majda, Andrew, 1949-
- Contents:
- Preface; Acknowledgements; Contents; 1 Introduction; 1.1 Turbulent Dynamical Systems for Complex Systems: #x83;; 1.2 Detailed Structure and Energy Conservation Principles; 2 Prototype Examples of Complex Turbulent Dynamical Systems; 2.1 Turbulent Dynamical Systems for Complex Geophysical Flows: One-Layer Model; 2.2 The L-96 Model as a Turbulent Dynamical System; 2.3 Statistical Triad Models, the Building Blocks of Complex Turbulent Dynamical Systems; 2.4 More Rich Examples of Complex Turbulent Dynamical Systems; 2.4.1 Quantitative Models; 2.4.2 Qualitative Models. 3 The Mathematical Theory of Turbulent Dynamical Systems3.1 Nontrivial Turbulent Dynamical Systems with a Gaussian Invariant Measure; 3.2 Exact Equations for the Mean and Covariance of the Fluctuations; 3.2.1 Turbulent Dynamical Systems with Non-Gaussian Statistical Steady States and Nontrivial Third-Order Moments; 3.2.2 Statistical Dynamics in the L-96 Model and Statistical Energy Conservation; 3.2.3 One-Layer Geophysical Model as a Turbulent Dynamical System; 3.3 A Statistical Energy Conservation Principle for Turbulent Dynamical Systems. 3.3.1 Details About Deterministic Triad Energy Conservation Symmetry3.3.2 A Generalized Statistical Energy Identity; 3.3.3 Enhanced Dissipation of the Statistical Mean Energy, the Statistical Energy Principle, and ``Eddy Viscosity''; 3.3.4 Stochastic Lyapunov Functions for One-Layer Turbulent Geophysical Flows; 3.4 Geometric Ergodicity for Turbulent Dynamical Systems; 4Preface; Acknowledgements; Contents; 1 Introduction; 1.1 Turbulent Dynamical Systems for Complex Systems: #x83;; 1.2 Detailed Structure and Energy Conservation Principles; 2 Prototype Examples of Complex Turbulent Dynamical Systems; 2.1 Turbulent Dynamical Systems for Complex Geophysical Flows: One-Layer Model; 2.2 The L-96 Model as a Turbulent Dynamical System; 2.3 Statistical Triad Models, the Building Blocks of Complex Turbulent Dynamical Systems; 2.4 More Rich Examples of Complex Turbulent Dynamical Systems; 2.4.1 Quantitative Models; 2.4.2 Qualitative Models. 3 The Mathematical Theory of Turbulent Dynamical Systems3.1 Nontrivial Turbulent Dynamical Systems with a Gaussian Invariant Measure; 3.2 Exact Equations for the Mean and Covariance of the Fluctuations; 3.2.1 Turbulent Dynamical Systems with Non-Gaussian Statistical Steady States and Nontrivial Third-Order Moments; 3.2.2 Statistical Dynamics in the L-96 Model and Statistical Energy Conservation; 3.2.3 One-Layer Geophysical Model as a Turbulent Dynamical System; 3.3 A Statistical Energy Conservation Principle for Turbulent Dynamical Systems. 3.3.1 Details About Deterministic Triad Energy Conservation Symmetry3.3.2 A Generalized Statistical Energy Identity; 3.3.3 Enhanced Dissipation of the Statistical Mean Energy, the Statistical Energy Principle, and ``Eddy Viscosity''; 3.3.4 Stochastic Lyapunov Functions for One-Layer Turbulent Geophysical Flows; 3.4 Geometric Ergodicity for Turbulent Dynamical Systems; 4 Statistical Prediction and UQ for Turbulent Dynamical Systems; 4.1 A Brief Introduction; 4.1.1 Low-Order Truncation Methods for UQ and Their Limitations; 4.1.2 The Gaussian Closure Method for Statistical Prediction. 4.1.3 A Fundamental Limitation of the Gaussian Closure Method4.2 A Mathematical Strategy for Imperfect Model Selection, Calibration, and Accurate Prediction: Blending Information Theory and Statistical Response Theory; 4.2.1 Imperfect Model Selection, Empirical Information Theory, and Information Barriers; 4.2.2 Linear Statistical Response and Fluctuation-Dissipation Theorem for Turbulent Dynamical Systems; 4.2.3 The Calibration and Training Phase Combining Information Theory and Kicked Statistical Response Theory. 4.2.4 Low-Order Models Illustrating Model Selection, Calibration, and Prediction with UQ4.3 Improving Statistical Prediction and UQ in Complex Turbulent Dynamical Systems by Blending Information Theory and Kicked Statistical Response Theory; 4.3.1 Models with Consistent Equilibrium Single Point Statistics and Information Barriers; 4.3.2 Models with Consistent Unperturbed Equilibrium Statistics for Each Mode; 4.3.3 Calibration and Training Phase; 4.3.4 Testing Imperfect Model Prediction Skill and UQ with Different Forced Perturbations. … (more)
- Publisher Details:
- Switzerland : Springer
- Publication Date:
- 2016
- Extent:
- 1 online resource (xi, 91 pages), color illustrations
- Subjects:
- 532/.0527
510
Mathematics
Turbulence -- Mathematical models
TECHNOLOGY & ENGINEERING -- Hydraulics
Turbulence -- Mathematical models
Mathematics -- Mathematical Analysis
Science -- Geophysics
Science -- Mechanics -- Dynamics -- Fluid Dynamics
Nonlinear science
Geophysics
Fluid mechanics
Differentiable dynamical systems
Physical geography
Mathematics -- Applied
Applied mathematics
Electronic books - Languages:
- English
- ISBNs:
- 9783319322179
3319322176 - Related ISBNs:
- 9783319322155
331932215X - Notes:
- Note: Includes bibliographical references.
Note: Online resource; title from PDF title page (SpringerLink, viewed September 26, 2016). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.355817
- Ingest File:
- 01_316.xml