 # Linear Algebra I

## Matrices and Row operations

notes :
( 24 )
208 pages
Jazyk:
English
This consists of the elementary aspects of linear algebra which depend mainly on row operations involving elementary manipulations of matrices.
Poslední vydání
O autorovi

Kenneth Kuttler received his Ph.D. in mathematics from The University of Texas at Austin in 1981. From there, he went to Michigan Tech. University where he was employed for most of the next 17 years. He joined the faculty of Brigham Young University in 1998 and has been there since this time. Kuttler'...

Description
Content

This consists of the elementary aspects of linear algebra which depend mainly on row operations involving elementary manipulations of matrices. The field of scalars is typically the field of complex numbers.

1. Preface
2. Preliminaries
1. Sets And Set Notation
2. Functions
3. The Number Line And Algebra Of The Real Numbers
4. Ordered fields
5. The Complex Numbers
6. Exercises
7. Completeness of R
8. Well Ordering And Archimedean Property
9. Division And Numbers
10. Systems Of Equations
11. Exercises
12. Fn
13. Algebra in Fn
14. Exercises
15. The Inner Product In Fn
16. What Is Linear Algebra?
17. Exercises
3. Matrices And Linear Transformations
1. Matrices
2. Exercises
3. Linear Transformations
4. Subspaces And Spans
5. An Application To Matrices
6. Matrices And Calculus
7. Exercises
4. Determinants
1. Basic Techniques And Properties
2. Exercises
3. The Mathematical Theory Of Determinants
4. The Cayley Hamilton Theorem
5. Block Multiplication Of Matrices
6. Exercises
5. Row Operations
1. Elementary Matrices
2. The Rank Of A Matrix
3. The Row Reduced Echelon Form
4. Rank And Existence Of Solutions To Linear Systems
5. Fredholm Alternative
6. Exercises
6. Some Factorizations
1. LU Factorization
2. Finding An LU Factorization
3. Solving Linear Systems Using An LU Factorization
4. The PLU Factorization
5. Justification For The Multiplier Method
6. Existence For The PLU Factorization
7. The QR Factorization
8. Exercises
7. Linear Programming
1. Simple Geometric Considerations
2. The Simplex Tableau
3. The Simplex Algorithm
4. Finding A Basic Feasible Solution
5. Duality
6. Exercises