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A Primer for a Secret Shortcut to PDEs of Mathematical Physics: Frontiers in Mathematics

Autor Des McGhee, Rainer Picard, Sascha Trostorff, Marcus Waurick
en Limba Engleză Paperback – 25 aug 2020
​This book presents a concise introduction to a unified Hilbert space approach to the mathematical modelling of physical phenomena which has been developed over recent years by Picard and his co-workers. The main focus is on time-dependent partial differential equations with a particular structure in the Hilbert space setting that ensures well-posedness and causality, two essential properties of any reasonable model in mathematical physics or engineering.However, the application of the theory to other types of equations is also demonstrated. By means of illustrative examples, from the straightforward to the more complex, the authors show that many of the classical models in mathematical physics as well as more recent models of novel materials and interactions are covered, or can be restructured to be covered, by this unified Hilbert space approach.

The reader should require only a basic foundation in the theory of Hilbert spaces and operators therein. For convenience, however, some of the more technical background requirements are covered in detail in two appendices The theory is kept as elementary as possible, making the material suitable for a senior undergraduate or master’s level course. In addition, researchers in a variety of fields whose work involves partial differential equations and applied operator theory will also greatly benefit from this approach to structuring their mathematical models in order that the general theory can be applied to ensure the essential properties of well-posedness and causality.
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Specificații

ISBN-13: 9783030473327
ISBN-10: 3030473325
Ilustrații: X, 183 p. 8 illus. in color.
Dimensiuni: 168 x 240 mm
Greutate: 0.32 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Birkhäuser
Seria Frontiers in Mathematics

Locul publicării:Cham, Switzerland

Cuprins

Introduction.- The Solution Theory for a Basic Class of Evolutionary Equations.- Some Applications to Models from Physics and Engineering.- But what about the Main Stream?.- Two Supplements for the Toolbox.- Requisites from Functional Analysis.

Notă biografică

Des McGhee is Honorary Lecturer at the University of Strathclyde in Glasgow, Scotland.Rainer Picard is Seniorprofessor at the TU Dresden in Germany.
Sascha Trostorff is lecturer at the Christian-Albrechts-Universität zu Kiel in Germany.
Marcus Waurick Chancellor's Fellow at the University of Strathclyde in Glasgow, Scotland.


Textul de pe ultima copertă

This book presents a concise introduction to a unified Hilbert space approach to the mathematical modelling of physical phenomena which has been developed over recent years by Picard and his co-workers. The main focus is on time-dependent partial differential equations with a particular structure in the Hilbert space setting that ensures well-posedness and causality, two essential properties of any reasonable model in mathematical physics or engineering. As a unique feature, this powerful tool for tackling time-dependent partial differential equations is subsequently applied to many equations. By means of illustrative examples, from the straightforward to the more complex, the authors show that many of the classical models in mathematical physics as well as more recent models of novel materials and interactions are covered, or can be restructured to be covered, by this unified Hilbert space approach. 

The reader should require only a basic foundation in the theory of Hilbert spaces and operators therein. For convenience, however, some of the more technical background requirements are covered in detail in the appendix. The theory is kept as elementary as possible, making the material suitable for a senior undergraduate or master’s level course. In addition, researchers in a variety of fields whose work involves partial differential equations and applied operator theory will also greatly benefit from this approach to structuring their mathematical models in order that the general theory can be applied to ensure the essential properties of well-posedness and causality.

Caracteristici

Presents a way of solving PDEs with very little theory Provides required background knowledge in the appendix Appeals to students and researchers alike