Logo

A First Course in Linear Algebra

Large book cover: A First Course in Linear Algebra

A First Course in Linear Algebra
by

Publisher: University of Puget Sound
ISBN/ASIN: B00262XN6S
Number of pages: 1035

Description:
A First Course in Linear Algebra is an introductory textbook aimed at college-level sophomores and juniors. Typically such a student will have taken calculus, but this is not a prerequisite. The book begins with systems of linear equations, then covers matrix algebra, before taking up finite-dimensional vector spaces in full generality. The final chapter covers matrix representations of linear transformations, through diagonalization, change of basis and Jordan canonical form. Along the way, determinants and eigenvalues get fair time.

Home page url

Download or read it online for free here:
Download link
(7.6MB, PDF)

Similar books

Book cover: Linear Algebra: CourseLinear Algebra: Course
by
This is a textbook for a one-semester course in linear algebra and vector spaces. An emphasis is made on the coordinate free analysis. The course mimics in some ways a modern algebra course. Calculus is a prerequisite for the course.
(4206 views)
Book cover: Fundamentals of Linear AlgebraFundamentals of Linear Algebra
by - Arkansas Tech University
This book is addressed primarely to second and third year college students who have already had a course in calculus and analytic geometry. Its aim is solely to learn the basic theory of linear algebra within a semester period.
(8460 views)
Book cover: Linear AlgebraLinear Algebra
by - Lamar University
These topics are covered: Systems of Equations and Matrices; Determinants; Euclidean n-space; Vector Spaces; Eigenvalues and Eigenvectors. These notes do assume that the reader has a good working knowledge of basic Algebra.
(11401 views)
Book cover: Linear Algebra for InformaticsLinear Algebra for Informatics
by - The University of Edinburgh
These are the lecture notes and tutorial problems for the Linear Algebra module. The text is divided into three parts: (1) real vector spaces and their linear maps; (2) univariate polynomials; (3) introduction to algebraic coding theory.
(9627 views)