Definitions and Theorems 3
Thursday, April 12, 2012
1:39 PM
Chapter 5
Right Inverse |
|
Left inverse |
Theorem 5.1.1
Corollary 5.1.2
Theorem 5.1.3
Matrix Inverse |
|
Invertible |
Theorem 5.1.4
Theorem 5.1.5
Theorem 5.1.6
Theorem 5.1.7 (Invertible Matrix Theorem)
Elementary Matrix |
Theorem 5.2.1.
Theorem 5.2.2
Theorem 5.2.3
Theorem 5.2.4
Theorem 5.2.5
Corollary 5.2.6
Theorem 5.2.7
Cofactor |
|
Theorem 5.3.1
Upper Triangular Lower triangular |
Theorem 5.3.2
Theorem 5.3.3
Theorem 5.3.4
Corollary 5.3.5
Theorem 5.3.6
Corollary 5.3.7
Theorem 5.3.8 (Addition to the Invertible Matrix Theorem)
Theorem 5.3.9
Corollary 5.3.10
Theorem 5.3.11
Lemma 5.4.1
Theorem 5.4.2
Cofactor Matrix |
|
Adjugate |
Theorem 5.4.3 (Cramer's Rule)
Area of a parallelogram |
|
Height of Parallelepiped |
|
Volume of Parallelepiped |
Chapter 6 - Diagonalization
It satisfies |
|
Diagonal Matrix |
Theorem 6.1.1
Then
Trace |
Similar Matrices |
Eigenvalue Eigenvector Eigenpair |
|
Eigenvalues Eigenvectors |
Characteristic Polynomial |
Theorem 6.2.1
Eigenspace |
Algebraic Multiplicity Geometric Multiplicity |
Lemma 6.2.2
Theorem 6.2.3
Diagonalizable |
Theorem 6.3.1
Theorem 6.3.2
Corollary 6.3.3
Deficient |
Corollary 6.3.4
Theorem 6.3.5
Then
Theorem 6.4.1
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