Overview
- Focuses on different problems in physics and other applied sciences
- Some of the exercises supplement theoretical material, while others relate to the real world
- Uniquely geared toward graduate students and researchers in applied mathematics, physics, and neighboring fields of science
- Presents main results and techniques in Functional Analysis and uses them to explore other areas of mathematics and applications
Part of the book series: Universitext (UTX)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (12 chapters)
Keywords
- text functional analysis
- Lebesque integral
- continuous linear operator
- Lp spaces
- Sobolev spaces
- Hilbert spaces
- self-adjoint linear operator
- symmetric linear operator
- adjoint linear operator
- semigroups linear operators
- functional analysis applied math
- functional analysis physics
- functional analysis exercise
- partial differential equations
- ordinary differential equations
About this book
Reviews
“‘The book is addressed to graduate students and researchers in applied mathematics and neighboring fields of science’. … the book gives a comprehensive, well-organized and readable introduction to functional analysis with interesting applications in various neighboring fields, always providing full proofs and many valuable exercises.” (Wolfgang Lusky, Mathematical Reviews, March, 2021)
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Functional Analysis for the Applied Sciences
Authors: Gheorghe Moroşanu
Series Title: Universitext
DOI: https://doi.org/10.1007/978-3-030-27153-4
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-27152-7Published: 28 December 2019
eBook ISBN: 978-3-030-27153-4Published: 27 December 2019
Series ISSN: 0172-5939
Series E-ISSN: 2191-6675
Edition Number: 1
Number of Pages: XII, 432
Number of Illustrations: 2 b/w illustrations
Topics: Functional Analysis, Partial Differential Equations, Ordinary Differential Equations, Integral Equations, Linear Algebra
Industry Sectors: IT & Software