Nonlinear Ocean Waves and the Inverse Scattering Transform, Volume 97

Contents

Preface

1. Brief History of Nonlinear Water Waves, Fourier analysis and Integrability

Part I: Theoretical and Physical Considerations

2. Theories of Water Waves

3. Introduction to Linear and Nonlinear Fourier analysis

4. The Infinite-Line Inverse Scattering Transform

5. The Periodic Inverse Scattering Transform

6. Additional Theoretical Considerations

7. Physical Perspective and Exotic Solutions

8. Extending the Inverse Scattering Transform to Higher Order

Part II: Numerical and Time Series Analysis Algorithms

9. Numerical Methods for Infinite-Line Boundary Conditions

10. Numerical Algorithms for the Analysis of Nonlinear Space and Time Series

11. Procedures for the Analysis of Nonlinear Wave Data

12. Nonlinear Power Spectral Analysis

Part II: Time Series Analysis of Experimental Data

13. Surface Waves in the Laboratory

14. Surface Waves in the Adriatic Sea

15. Surface Waves at Duck Pier

16. Surface Waves in the North Sea

17. Internal Waves in the Andaman Sea

Part IV: Future Directions

18. Engineering Applications of IST

19. Chaotic Dynamics Nonlinear Wave Equations and Water Waves

For more than 200 years, the Fourier Transform has been one of the most important mathematical tools for understanding the dynamics of linear wave trains. Nonlinear Ocean Waves and the Inverse Scattering Transform presents the development of the nonlinear Fourier analysis of measured space and time series, which can be found in a wide variety of physical settings including surface water waves, internal waves, and equatorial Rossby waves. This revolutionary development will allow hyperfast numerical modelling of nonlinear waves, greatly advancing our understanding of oceanic surface and internal waves. Nonlinear Fourier analysis is based upon a generalization of linear Fourier analysis referred to as the inverse scattering transform, the fundamental building block of which is a generalized Fourier series called the Riemann theta function. Elucidating the art and science of implementing these functions in the context of physical and time series analysis is the goal of this book.

• Presents techniques and methods of the inverse scattering transform for data analysis
• Geared toward both the introductory and advanced reader venturing further into mathematical and numerical analysis
• Suitable for classroom teaching as well as research

Academia, government, and industry in the fields of ocean sciences, geophysics, and engineering mathematics