Linear (or vector) spaces are the standard setting for studying and solving a large proportion of the problems in differential and integral equations, approximation theory, optimization theory, and other topics in applied mathematics. In this chapter, we gather together some concepts and results concerning various aspects of linear spaces, especially some of the more important linear spaces such as Banach spaces, Hilbert spaces, and certain function spaces that are used frequently in this work and in applied mathematics generally.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Rights and permissions
Copyright information
© 2005 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
(2005). Linear Spaces. In: Theoretical Numerical Analysis. Texts in Applied Mathematics, vol 39. Springer, New York, NY. https://doi.org/10.1007/978-0-387-28769-0_1
Download citation
DOI: https://doi.org/10.1007/978-0-387-28769-0_1
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-25887-4
Online ISBN: 978-0-387-28769-0
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)