Roman Advanced Linear Algebra
Erscheinungsjahr 2013
ISBN: 978-1-4757-2178-2
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 370 Seiten, Web PDF
Reihe: Graduate Texts in Mathematics
ISBN: 978-1-4757-2178-2
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
This book is a thorough introduction to linear algebra, for the graduate or advanced undergraduate student. Prerequisites are limited to a knowledge of the basic properties of matrices and determinants. However, since we cover the basics of vector spaces and linear transformations rather rapidly, a prior course in linear algebra (even at the sophomore level), along with a certain measure of "mathematical maturity," is highly desirable. Chapter 0 contains a summary of certain topics in modern algebra that are required for the sequel. This chapter should be skimmed quickly and then used primarily as a reference. Chapters 1-3 contain a discussion of the basic properties of vector spaces and linear transformations. Chapter 4 is devoted to a discussion of modules, emphasizing a comparison between the properties of modules and those of vector spaces. Chapter 5 provides more on modules. The main goals of this chapter are to prove that any two bases of a free module have the same cardinality and to introduce noetherian modules. However, the instructor may simply skim over this chapter, omitting all proofs. Chapter 6 is devoted to the theory of modules over a principal ideal domain, establishing the cyclic decomposition theorem for finitely generated modules. This theorem is the key to the structure theorems for finite dimensional linear operators, discussed in Chapters 7 and 8. Chapter 9 is devoted to real and complex inner product spaces.
Zielgruppe
Graduate
Autoren/Hrsg.
Weitere Infos & Material
0 Preliminaries.- 1 Vector Spaces.- 2 Linear Transformations.- 3 The Isomorphism Theorems.- 4 Modules I.- 5 Modules II.- 6 Modules over Principal Ideal Domains.- 7 The Structure of a Linear Operator.- 8 Eigenvalues and Eigenvectors.- 9 Real and Complex Inner Product Spaces.- 10 The Spectral Theorem for Normal Operators.- 11 Metric Vector Spaces.- 12 Metric Spaces.- 13 Hilbert Spaces.- 14 Tensor Products.- 15 Affine Geometry.- 16 The Umbral Calculus.- References.- Index of Notation.