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Birkhäuser
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Spectral Methods in Surface Superconductivity

  • Textbook
  • © 2010

Overview

  • Covers groundbreaking results in the fast growing field of superconductivity
  • Provides a concrete introduction to PDEs and spectral methods
  • Covers both two- and three-dimensional cases of Ginzburg–Landau function extensively
  • Open problems included
  • Includes supplementary material: sn.pub/extras

Part of the book series: Progress in Nonlinear Differential Equations and Their Applications (PNLDE, volume 77)

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Table of contents (16 chapters)

  1. Linear Analysis

  2. Nonlinear Analysis

Keywords

About this book

During the past decade, the mathematics of superconductivity has been the subject of intense activity. This book examines in detail the nonlinear Ginzburg–Landau functional, the model most commonly used in the study of superconductivity. Specifically covered are cases in the presence of a strong magnetic field and with a sufficiently large Ginzburg–Landau parameter kappa.

Spectral Methods in Surface Superconductivity is intended for students and researchers with a graduate-level understanding of functional analysis, spectral theory, and the analysis of partial differential equations. The book also includes an overview of all nonstandard material as well as important semi-classical techniques in spectral theory that are involved in the nonlinear study of superconductivity.

Reviews

From the reviews:

“The book is concerned with the analysis of mathematical problems connected with the theory of superconductivity. The authors consider a standard basic model of superconductivity described by the Ginzburg-Landau functional. … The authors attempt to make the book self-contained, having graduate students and researchers in mind. For this purpose, at the end of the book they add various appendices containing somewhat standard material. … The book concludes with a fairly complete bibliography on the subject.” (Yuri A. Kordyukov, Mathematical Reviews, Issue 2011 j)

Authors and Affiliations

  • Department of Mathematical Sciences, University of Aarhus, Aarhus C, Denmark

    Søren Fournais

  • , Département de Mathématiques, Université Paris-Sud and CNRS, Orsay Cedex, France

    Bernard Helffer

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