Overview
Matrix addition and scalar multiplication are the fundamental operations that allow us to combine and scale matrices. These operations define the vector space structure on Mm×n.
Matrix Addition
For matrices A and B of the same size (m×n):
A+B=[aij+bij]
Example
[1324]+[5768]=[1+53+72+64+8]=[610812]
Requirement
Matrices must have the same dimensions to be added.
Properties of Matrix Addition
| Property | Formula |
|---|
| Commutative | A+B=B+A |
| Associative | (A+B)+C=A+(B+C) |
| Identity | A+O=A |
| Inverse | A+(−A)=O |
Scalar Multiplication
For scalar c and matrix A:
cA=[c⋅aij]
Example
3×[1324]=[3×13×33×23×4]=[39612]
Properties of Scalar Multiplication
| Property | Formula |
|---|
| Distributive (scalar) | c(A+B)=cA+cB |
| Distributive (matrix) | (c+d)A=cA+dA |
| Associative | c(dA)=(cd)A |
| Identity | 1A=A |
| Zero | 0A=O |
Matrix Subtraction
Defined as addition of the negative:
A−B=A+(−1)B=A+(−B)
Example
[5768]−[1324]=[5−17−36−28−4]=[4444]
Linear Combinations of Matrices
A linear combination of matrices A1,A2,…,Ak:
c1A1+c2A2+⋯+ckAk
Example
2[1001]+3[0110]=[2002]+[0330]=[2332]
The Zero Matrix
The m×n zero matrix Om×n has all entries equal to 0.
Properties:
- A+O=O+A=A
- A−A=O
- 0A=O
- OA=O (for matrix multiplication, when defined)
Negative of a Matrix
The negative of A is (−1)A:
−A=[−aij]
Example
−[132−4]=[−1−3−24]
Worked Examples
Example 1: Combined Operations
Given:
A=[23−10],B=[1231],c=2
Find 2A−3B:
2A=[46−20],3B=[3693]
2A−3B=[4−36−6−2−90−3]=[10−11−3]
Example 2: Solve for Matrix
Find X if 2X+A=B where:
A=[1324],B=[5768]
Solution:
2X=B−A=[4444]
X=[2222]