Linear Algebra, Third Edition

Fraleigh and Beauregard's text is known for its clear presentation and writing style, mathematical appropriateness, and overall student usability. Its inclusion of calculus-related examples, true/false problems, section summaries, integrated applications, and coverage of C^n make it a superb text for the sophomore or junior-level linear algebra course. This Third Edition retains the features that have made it successful over the years, while addressing recent developments of how linear algebra is taught and learned. Key concepts are presented early on, with an emphasis on geometry.

fraleigh And Beauregard's Text Is Known For Its Clear Presentation And Writing Style, Mathematical Appropriateness, And Overall Usability. Its Inclusion Of Calculus-related Examples, True/false Problems, Section Summaries, Integrated Applications, And Coverage Of Cn Make It A Superb Text For The Sophomore Or Junior-level Linear Algebra Course. This Third Edition Retains The Features That Have Made It Successful Over The Years, While Addressing Recent Developments Of How Linear Algebra Is Taught And Learned. Key Concepts Are Presented Early On, With An Emphasis On Geometry.

key Topics: Vectors, Matrices, And Linear Systems; Dimension, Rank, And Linear Transformations; Vector Spaces; Determinants; Eigenvalues And Eigenvectors; Orthogonality; Change Of Basis; Eigenvalues: Further Applications And Computations; Complex Scalars; Solving Large Linear Systems

market: For All Readers Interested In Linear Algebra.

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this Text For A First Undergraduate Course Introduces The Subject In The Context Of Rn Rather Than In The Context Of Axiomatically Defined Vector Spaces. It Defines Axiomatic Vector Spaces Only After Treatment Of Independence, Rank, Dimension, And Linear Transformations, And Distributes Material On Linear Transformations Throughout The Chapters. This Third Edition Provides A Geometric Foundation For Linear Combinations And Subspaces. An Accompanying Disk Supplies Lintek Software And Files Of Matrices To Work With Matlab. Annotation C. Book News, Inc., Portland, Or (booknews.com)

Cover Preface Dependence Chart Contents 1. Vectors, Matrices and Linear Systems 2. Dimension, Rank, and Linear Transformations 3. Vector Spaces 4. Determinants 5. Eigenvalues and Eigenvectors 6. Orthogonality 7. Change of Basis 8. Eigenvalues: Further Applications and Computations 9. Complex Scalars 10. Solving Large Linear Systems Appendices A. Mathematical Induction B. Two Deferred Proofs C. LINTEK Routines D. MATLAB Procedures and Commands Used in the Exercises Answers to Most Odd-Numbered Exercises Index The new edition of this linear algebra text includes an early introduction to key concepts, and optional integration of LINTEK and MATLAB. Features include: calculus-related examples; section summaries of key ideas, definitions and theorems; and exercise sets including "true or false" problems.