Authors:
- Presents a complete and detailed matrix Marchenko method with general boundary conditions
- Illustrates a comprehensive treatment of scattering theory through explicit examples
- Indicates how the inverse problem should be posed and reveals how the existing formulation is problematic unless the boundary condition is specified as part of the scattering data
- Investigates existence, uniqueness, and construction aspects of scattering and inverse scattering problems
Part of the book series: Applied Mathematical Sciences (AMS, volume 203)
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Table of contents (6 chapters)
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Front Matter
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Back Matter
About this book
The monograph introduces a specific class of input data sets consisting of a potential and a boundary condition and a specific class of scattering data sets consisting of a scattering matrix and bound-state information. The important problem of the characterization is solved by establishing a one-to-one correspondence between the two aforementioned classes. The characterization result is formulated in various equivalent forms, providing insight and allowing a comparison of different techniques used to solve the inverse scattering problem. The past literature treated the type of boundary condition as a part of the scattering data used as input to recover the potential. This monograph provides a proper formulation of the inverse scattering problem where the type of boundary condition is no longer a part of the scattering data set, but rather both the potential and the type of boundary condition are recovered from the scattering data set.
Authors and Affiliations
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Department of Mathematics, University of Texas at Arlington, Arlington, USA
Tuncay Aktosun
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Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Mexico City, Mexico
Ricardo Weder
Bibliographic Information
Book Title: Direct and Inverse Scattering for the Matrix Schrödinger Equation
Authors: Tuncay Aktosun, Ricardo Weder
Series Title: Applied Mathematical Sciences
DOI: https://doi.org/10.1007/978-3-030-38431-9
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-38430-2Published: 19 May 2020
Softcover ISBN: 978-3-030-38433-3Published: 19 May 2021
eBook ISBN: 978-3-030-38431-9Published: 19 May 2020
Series ISSN: 0066-5452
Series E-ISSN: 2196-968X
Edition Number: 1
Number of Pages: XIII, 624
Number of Illustrations: 1 b/w illustrations
Topics: Partial Differential Equations, Functional Analysis, Quantum Physics, Mathematical Physics