Elementary Matrices
Chapter 2 • Section 2-5
"The building blocks of row reduction! 🧱"
🧱 What is an Elementary Matrix?
Definition
An elementary matrix is obtained by performing a single elementary row operation on the Identity Matrix ($I$).
Just one operation! No more, no less.
Type I: Swap
Interchange two rows.
Type II: Scale
Multiply a row by $k \neq 0$.
Type III: Add
Add multiple of one row to another.
🕵️♀️ Identity Check Win $10
Is $A = \begin{bmatrix} 1 & 1 \\ 1 & 0 \end{bmatrix}$ an elementary matrix?
Hint: Try to get it from $I = \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix}$ in one step.
The Magic Property
If $E$ is an elementary matrix, then multiplying $EA$ performs the same row operation on $A$.
Example:
Let $E = \begin{bmatrix} 0 & 1 \\ 1 & 0 \end{bmatrix}$ (Swap rows).
Then $EA$ will swap the rows of $A$!
Matrix Multiplication
Left-multiplying acts on Rows.
(Right-multiplying acts on Columns!)
Invertibility
Every elementary row operation is reversible. Therefore:
Every Elementary Matrix is Invertible!
And its inverse is an elementary matrix of the same type.
Swap Inverse:
Swap back! ($E^{-1} = E$)
Scale Inverse:
Multiply by $1/k$.
Add Inverse:
Subtract the multiple.
The Fundamental Theorem
Theorem
An $n \times n$ matrix $A$ is invertible if and only if $A$ can be written as a product of elementary matrices.
Example: Writing A as Product of Elementary Matrices
Let $A = \begin{bmatrix} 0 & 1 \\ 1 & 3 \end{bmatrix}$. Reduce to $I$:
- Swap $R_1, R_2$: $E_1 = \begin{bmatrix} 0 & 1 \\ 1 & 0 \end{bmatrix} \implies E_1 A = \begin{bmatrix} 1 & 3 \\ 0 & 1 \end{bmatrix}$.
- $R_1 \leftarrow R_1 - 3R_2$: $E_2 = \begin{bmatrix} 1 & -3 \\ 0 & 1 \end{bmatrix} \implies E_2 (E_1 A) = I$.
So $E_2 E_1 A = I$. Thus $A = E_1^{-1} E_2^{-1}$.
🧩 Puzzle Time Win $20
If $A$ is invertible, can we write $A$ as a product of elementary matrices?