1. Symmetric and Skew-symmetric matrices
· Symmetric matrices

· Skew-symmetric matrices

* Symmetric matrices 와 Skew-symmetric matrices는 모두 square matrix 다.
* Skew-symmetric matrix 는 반드시 main diagonals 가 0 이다.
2. Triangular matrices
· upper Triangular matrices :

· lower Triangular matrices :

3. Diagonal matrices & Identity Matrix
· Identity Matrix (I)
I = | 1 0 0 |
| 0 1 0 |
| 0 0 1 |
의미 : AI = A
· Scalar Matrix (S)
cI, 즉, Identity matrix 의 상수배
* A x cI = cA
· Diagonal Matrix
대각 성분(main diagonal)만 존재하는 matrix
cf) AS = SA = cA where S = cI

'Linear Algebra' 카테고리의 다른 글
| [Linear Algebra] #06 Vector space (0) | 2021.02.02 |
|---|---|
| [Linear Algebra] #05 Linear Independence, Rank of a Matrix, vector space (0) | 2021.02.01 |
| [Linear Algebra] #04 Inverse Matrix by Gauss-Jordan Elimination (0) | 2021.02.01 |
| [Linear Algebra] #03 Gauss Elimination & Back Substitution (0) | 2021.02.01 |
| [Linear Algebra] #01 Matrices, Vectors, Determinants Linear Systems (0) | 2021.02.01 |