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Introduction to Linear Algebra (5th Edition) - Hardcover - VERY GOOD
US $37.99
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Condition:
Very Good
A book that has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear.
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Located in: Milan, Michigan, United States
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eBay item number:357245851188
Item specifics
- Condition
- Brand
- Unbranded
- Book Title
- Introduction to Linear Algebra (5th Edition)
- MPN
- Does not apply
- ISBN
- 9780201658590
About this product
Product Identifiers
Publisher
Addison Wesley
ISBN-10
0201658593
ISBN-13
9780201658590
eBay Product ID (ePID)
1580409
Product Key Features
Number of Pages
624 Pages
Publication Name
Introduction to Linear Algebra
Language
English
Publication Year
2001
Subject
Algebra / Linear, Algebra / General
Features
Revised
Type
Textbook
Subject Area
Mathematics
Format
Hardcover
Dimensions
Item Height
1.1 in
Item Weight
39.2 Oz
Item Length
9.4 in
Item Width
7.7 in
Additional Product Features
Edition Number
5
Intended Audience
College Audience
LCCN
00-054308
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
512/.5
Edition Description
Revised edition
Table Of Content
1. Matrices and Systems of Linear Equations. Introduction to Matrices and Systems of Linear Equations.Echelon Form and Gauss-Jordan Elimination.Consistent Systems of Linear Equations.Applications (Optional).Matrix Operations.Algebraic Properties of Matrix Operations.Linear Independence and Nonsingular Matrices.Data Fitting, Numerical Integration, and Numerical Differentiation (Optional).Matrix Inverses and Their Properties. 2. Vectors in 2-Space and 3-Space. Vectors in the Plane.Vectors in Space.The Dot Product and the Cross Product.Lines and Planes in Space. 3. The Vector Space Rn. Introduction.Vector Space Properties of Rn.Examples of Subspaces.Bases for Subspaces.Dimension.Orthogonal Bases for Subspaces.Linear Transformations from Rn to Rm.Least-Squares Solutions to Inconsistent Systems, with Applications to Data Fitting.Theory and Practice of Least Squares. 4. The Eigenvalue Problem. The Eigenvalue Problem for (2 x 2) Matrices.Determinants and the Eigenvalue Problem.Elementary Operations and Determinants (Optional).Eigenvalues and the Characteristic Polynomial.Eigenvectors and Eigenspaces.Complex Eigenvalues and Eigenvectors.Similarity Transformations and Diagonalization.Difference Equations; Markov Chains, Systems of Differential Equations (Optional). 5. Vector Spaces and Linear Transformations. Introduction.Vector Spaces.Subspaces.Linear Independence, Bases, and Coordinates.Dimension.Inner-Product Spaces, Orthogonal Bases, and Projections (Optional).Linear Transformations.Operations with Linear Transformations.Matrix Representations for Linear Transformations.Change of Basis and Diagonalization. 6. Determinants. Introduction.Cofactor Expansions of Determinants.Elementary Operations and Determinants.Cramer's Rule.Applications of Determinants: Inverses and Wronksians. 7. Eigenvalues and Applications. Quadratic Forms.Systems of Differential Equations.Transformation to Hessenberg Form.Eigenvalues of Hessenberg Matrices.Householder Transformations.The QR Factorization and Least-Squares Solutions.Matrix Polynomials and the Cayley-Hamilton Theorem.Generalized Eigenvectors and Solutions of Systems of Differential Equations. Appendix: An Introduction to MATLAB. Answers to Selected Odd-Numbered Exercises. Index.
Synopsis
This edition contains a new section covering elementary vector-space ideas, for example subspace, basis, and dimension, introduced in the familiar setting of R., Introduction to Linear Algebra , 5th Edition is a foundation book that bridges both practical computation and theoretical principles. Due to its flexible table of contents, the book is accessible for both students majoring in the scientific, engineering, and social sciences, as well as students that want an introduction to mathematical abstraction and logical reasoning. In order to achieve the text's flexibility, the book centers on 3 principal topics: matrix theory and systems of linear equations, elementary vector space concepts, and the eigenvalue problem. This highly adaptable text can be used for a one-quarter or one-semester course at the sophomore/junior level, or for a more advanced class at the junior/senior level.
LC Classification Number
QA184.J63 2002
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Seller feedback (969)
- h***e (873)- Feedback left by buyer.Past monthVerified purchase5 Stars all around for this seller.
- s***0 (1401)- Feedback left by buyer.Past monthVerified purchaseno issues
- s***0 (102)- Feedback left by buyer.Past monthVerified purchaseJust as described!! Packed very well to prevent bending!! Excellent communication with seller!! Will buy from them in the future!!