Time Dependent Phase Space Filters

A Stable Absorbing Boundary Condition
1. Auflage 2023
ISBN: 978-981-19-6817-4
Verlag: Springer Nature Singapore

Buch, Englisch, 140 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 242 g

Reihe: SpringerBriefs on PDEs and Data Science

This book introduces an interesting and alternative way to design absorbing boundary conditions (ABCs) for quantum wave equations, basically the nonlinear Schrödinger equation. The focus of this book is the application of the phase space filter approach to derive accurate radiation conditions for Schrödinger equations.

Researchers who are interested in partial differential equations and mathematical physics might find this book appealing.

Zielgruppe

Research

Autoren/Hrsg.

Soffer, Avy

Tran, Minh-Binh

Stucchio, Chris

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Numerische Mathematik
• Mathematik | Informatik Mathematik Mathematische Analysis
• Technische Wissenschaften Technik Allgemein Technische Optik, Lasertechnologie
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Strömungslehre
• Mathematik | Informatik Mathematik Mathematik Interdisziplinär Systemtheorie
• Naturwissenschaften Physik Elektromagnetismus Quantenoptik, Nichtlineare Optik, Laserphysik

Inhaltsverzeichnis

Introduction.- Absorbing Potentials and Perfectly Matched Layers.- Windowed Fourier Transforms and Space Phase Numerics.- Description of Time Dependent Phase Space Filters.- A More Practical Discussion: How to Choose the Parameters.- The Behavior of Gaussian Framelets under the Free Flow.- Assumptions and Accuracy Estimates.- Discussions on the Assumptions.- Proof of Theorem 7.5.6.- Proof of Theorems 7.5.4 and 7.5.5.- Numerical Experiments.

Über Autor(innen)

Avy Soffer is a professor at the Department of Mathematics, Rutgers University. He obtained his PhD at Tel-Aviv University in Mathematical-Physics in 1984. He was a Sloan fellow in 1988, ICM invited speaker in 2006,  and AMS Fellow in 2015.

Chris Stucchio is a product-focused data science and engineering researcher. He obtained his PhD at Rutgers University. 

Minh-Binh Tran is a faculty in the mathematics department of Texas A&M University, USA. He obtained a PhD in applied mathematics at Université Sorbonne Paris Nord, France. He was a recipient of the NSF CAREER Award in 2021 and was a Humboldt Fellow in 2021.