Linear Algebra: Gateway to Mathematics (絕)
- 20本以上，享 8.5折
售價
$
洽詢
- 一般書籍
- ISBN：9780065017281
- 作者：Robert Messer
- 版次：1
- 年份：1993
- 出版商：Pearson Education
- 頁數/規格：403頁
書籍介紹
目錄
作者介紹
Description
This text is designed to resolve the conflict between the abstractions of linear algebra and the needs and abilities of the students who may have dealt only briefly with the theoretical aspects of previous mathematics courses. The author recognizes that many students will at first feel uncomfortable, or at least unfamiliar, with the theoretical nature inherent in many of the topics in linear algebra. Numerous discussions of the logical structure of proofs, the need to translate terminology into notation, and suggestions about efficient ways to discover a proof are included. This text combines the many simple and elegant results of elementary linear algebra with some powerful computational techniques to demonstrate that theorectical mathematics need not be difficult, mysterious, or useless. This book is written for the second course in linear algebra (or the first course, if the instructor is receptive to this approach).
This text is designed to resolve the conflict between the abstractions of linear algebra and the needs and abilities of the students who may have dealt only briefly with the theoretical aspects of previous mathematics courses. The author recognizes that many students will at first feel uncomfortable, or at least unfamiliar, with the theoretical nature inherent in many of the topics in linear algebra. Numerous discussions of the logical structure of proofs, the need to translate terminology into notation, and suggestions about efficient ways to discover a proof are included. This text combines the many simple and elegant results of elementary linear algebra with some powerful computational techniques to demonstrate that theorectical mathematics need not be difficult, mysterious, or useless. This book is written for the second course in linear algebra (or the first course, if the instructor is receptive to this approach).
Table of Contents
1. Vector Spaces.
2. Systems of Linear Equations.
3. Dimension Theory.
4. Inner Product Spaces.
5. Matrices.
6. Linearity.
7. Determinants.
8. Eigenvalues and Eigenvectors.
Answers to Selected Exercises.
Index.
1. Vector Spaces.
2. Systems of Linear Equations.
3. Dimension Theory.
4. Inner Product Spaces.
5. Matrices.
6. Linearity.
7. Determinants.
8. Eigenvalues and Eigenvectors.
Answers to Selected Exercises.
Index.
Robert Messer, Albion College
