Variational Techniques for Elliptic Partial Differential Equations: Theoretical Tools and Advanced Applications

Variational Techniques for Elliptic Partial Differential Equations: Theoretical Tools and Advanced Applications

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LF/138376/R
English
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Variational Techniques for Elliptic Partial Differential Equations, intended for graduate students studying applied math, analysis, and/or numerical analysis, provides the necessary tools to understand the structure and solvability of elliptic partial differential equations. Beginning with the necessary definitions and theorems from distribution theory, the book gradually builds the functional analytic framework for studying elliptic PDE using variational formulations. Rather than introducing all of the prerequisites in the first chapters, it is the introduction of new problems which motivates the development of the associated analytical tools. In this way the student who is encountering this material for the first time will be aware of exactly what theory is needed, and for which problems.FeaturesA detailed and rigorous development of the theory of Sobolev spaces on Lipschitz domains, including the trace operator and the normal component of vector fieldsAn integration of functional analysis concepts involving Hilbert spaces and the problems which can be solved with these concepts, rather than separating the twoIntroduction to the analytical tools needed for physical problems of interest like time-harmonic waves, Stokes and Darcy flow, surface differential equations, Maxwell cavity problems, etc.A variety of problems which serve to reinforce and expand upon the material in each chapter, including applications in fluid and solid mechanics
LF/138376/R

Data sheet

Name of the Author
Francisco-Javier Sayas
Matthew E. Hassell
Thomas S. Brown
Language
English
ISBN
9781138580886
Release date
2019

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Variational Techniques for Elliptic Partial Differential Equations: Theoretical Tools and Advanced Applications

Variational Techniques for Elliptic Partial Differential Equations, intended for graduate students studying applied math, analysis, and/or numerical analysis...

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