# Linear Algebra I

## Matrices and Row operations

kirjoittanut Kenneth Kuttler
Arvostelut:
( 24 )
208 pages
Kieli:
English
This consists of the elementary aspects of linear algebra which depend mainly on row operations involving elementary manipulations of matrices.
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Kirjailijasta

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'

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.

• Preface
1. 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. The Fundamental Theorem Of Algebra
7. Exercises
8. Completeness of R
9. Well Ordering And Archimedean Property
10. Division
11. Systems Of Equations
12. Exercises
13. Fn
14. Algebra in Fn
15. Exercises
16. The Inner Product In Fn
17. What Is Linear Algebra?
18. Exercises
2. Linear Transformations
1. Matrices
2. Exercises
3. Linear Transformations
4. Some Geometrically Dened Linear Transformations
5. The Null Space Of A Linear Transformation
6. Subspaces And Spans
7. An Application To Matrices
8. Matrices And Calculus
9. Exercises
3. 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
4. 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
5. 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
6. Spectral Theory
1. Eigenvalues And Eigenvectors Of A Matrix
2. Some Applications Of Eigenvalues And Eigenvectors
3. Exercises
4. Schur’s Theorem
5. Trace And Determinant