Elements of Linear and Multilinear Algebra

Elements of Linear and Multilinear Algebra

This set of notes is an activity-oriented introduction to the study of linear and multilinear algebra.

Publication date: 03 Jun 2014

ISBN-10: n/a

ISBN-13: n/a

Paperback: 152 pages

Views: 1,692

Type: Lecture Notes

Publisher: n/a

License: Creative Commons Attribution-ShareAlike 4.0 International

Post time: 21 Nov 2016 04:00:00

Elements of Linear and Multilinear Algebra

Elements of Linear and Multilinear Algebra This set of notes is an activity-oriented introduction to the study of linear and multilinear algebra.
Tag(s): Linear Algebra
Publication date: 03 Jun 2014
ISBN-10: n/a
ISBN-13: n/a
Paperback: 152 pages
Views: 1,692
Document Type: Lecture Notes
Publisher: n/a
License: Creative Commons Attribution-ShareAlike 4.0 International
Post time: 21 Nov 2016 04:00:00
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From the Preface:
John M. Erdman wrote:This set of notes is an activity-oriented introduction to the study of linear and multilinear algebra. The great majority of the results in beginning linear and multilinear are straightforward and can be verified by the thoughtful student. Indeed, that is the main point of these notes— to convince the beginner that the subject is accessible. In the material that follows there are numerous indicators that suggest activity on the part of the reader: words such as "proposition", "example", "exercise", and "corollary", if not followed by a proof or a reference to a proof, are invitations to verify the assertions made. When the proof of a theorem appears to me to be too difficult for the average student to (re)invent and I have no improvements to offer to the standard proofs, I provide references to standard treatments. These notes were written for a 2-term course in linear/multilinear algebra for seniors and first year graduate students at Portland State University. 

The prerequisites for working through this material are quite modest. Elementary properties of the real number system, the arithmetic of matrices, ability to solve systems of linear equations, and the ability to evaluate the determinant of a square matrix are assumed. A few examples and exercises depend on differentiation and/or integration of real valued functions, but no particular skill with either is required.




About The Author(s)


Emeritus Associate Professor in the Fariborz Maseeh Department of Mathematics and Statistics at Portland State University. His areas of speciality are Functional Analysis and Operator Theory.

John M. Erdman

Emeritus Associate Professor in the Fariborz Maseeh Department of Mathematics and Statistics at Portland State University. His areas of speciality are Functional Analysis and Operator Theory.


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