Advanced Linear Algebra

This document was uploaded by one of our users. The uploader already confirmed that they had the permission to publish it. If you are author/publisher or own the copyright of this documents, please report to us by using this DMCA report form.

Simply click on the Download Book button.

Yes, Book downloads on Ebookily are 100% Free.

Sometimes the book is free on Amazon As well, so go ahead and hit "Search on Amazon"

Mathematics books are often considerably more difficult to read than their authors prepare their audiences to believe; this book is a happy exception. It is written for an audience of readers at a specific place in their studies (ones who know linear algebra but want to take their understanding of it to a deeper level), and it reaches this audience very well. The emphasis of this book is on linear algebra in abstract mathematics; it is less useful for people interested in numerical linear algebra. As the name suggests, this book requires a fair amount of background. The introductory chapter moves very fast, but is thorough, and exciting to read. The rest of the book presents advanced topics at a more leisurely pace, while still remaining fairly concise. Some difficult concepts, such as the universal property, are introduced several times at several different places in the book, so that someone working through the book will be more familiar with them when it is finally necessary to understand them on a deeper level. I find the material on modules outstanding; the author explores the analogies between modules and vector spaces, rigorously exploring which analogies hold, and giving examples of cases in which other analogies fail. The presentation of modules in this book differs greatly from that encountered in most abstract algebra texts: while most books focus on modules' similarities to rings and applications in commutative algebra, this text focuses on their similarities to vector spaces and applications to the study linear operators on vector spaces. One should not be scared by the word "advanced" in the book's title. Although the book covers advanced topics, it is very clear. When proofs are omitted, it is usually because they are very easy for the reader to supply. The exercises are very valuable (some are critical for understanding the material), but they're not diabolically difficult. I think this book would make an outstanding textbook for an introductory graduate-level course in linear algebra, or perhaps a senior-level undergraduate course for students with a strong background. It is also very well-suited to self-study. A student with prior background in abstract algebra (group theory, ring theory, etc.) will find this book much more manageable than a student who has not covered such material. People wanting a more introductory text might want to look to the book by Axler, or the old classic by Shilov.

Author(s): Steven Roman (auth.)
Series: Graduate Texts in Mathematics 135
Edition: 3rd ed
Publisher: Springer New York
Year: 1992

Language: English
Pages: 528
City: New York
Tags: Linear and Multilinear Algebras, Matrix Theory

Front Matter....Pages i-xii
Preliminaries....Pages 1-24
Front Matter....Pages 25-25
Vector Spaces....Pages 27-43
Linear Transformations....Pages 45-62
The Isomorphism Theorems....Pages 63-81
Modules I....Pages 83-95
Modules II....Pages 97-106
Modules over Principal Ideal Domains....Pages 107-119
The Structure of a Linear Operator....Pages 121-133
Eigenvalues and Eigenvectors....Pages 135-156
Real and Complex Inner Product Spaces....Pages 157-174
The Spectral Theorem for Normal Operators....Pages 175-202
Front Matter....Pages 203-203
Metric Vector Spaces....Pages 205-237
Metric Spaces....Pages 239-261
Hilbert Spaces....Pages 263-290
Tensor Products....Pages 291-314
Affine Geometry....Pages 315-328
The Umbral Calculus....Pages 329-352
Back Matter....Pages 353-366