Linear algebra is about vectors and matrices. It helps us solve systems of equations. It’s useful in many areas of computer science.
A matrix is a table of numbers. It has rows and columns.
Example of a 2x2 matrix:
| 1 | 2 |
| 3 | 4 |
Rows go across. Columns go down.
Imagine you have 2 stores and you sell 2 products.
A matrix can show how many items each store sold:
| Product A | Product B | |
| Store 1 | 5 | 8 |
| Store 2 | 7 | 6 |
This is a 2x2 matrix. It helps us see and work with data easily.
You can add two matrices of the same size.
Example:
| 1 | 2 |
| 3 | 4 |
+
| 5 | 6 |
| 7 | 8 |
=
| 6 | 8 |
| 10 | 12 |
This is not like normal multiplication.
To multiply, rows of the first matrix are multiplied with columns of the second.
Example:
Matrix A (2x3):
| 1 | 2 | 3 |
| 4 | 5 | 6 |
Matrix B (3x2):
| 7 | 8 |
| 9 | 10 |
| 11 | 12 |
Result (2x2):
| 58 | 64 |
| 139 | 154 |
We multiplied row × column and added up the results.
This is like the number 1 for matrices.
| 1 | 0 |
| 0 | 1 |
Any matrix × identity = the same matrix.
Flip rows and columns.
Example:
| 1 | 2 |
| 3 | 4 |
Transpose:
| 1 | 3 |
| 2 | 4 |
A number that tells if a matrix can be inverted.
For a 2x2 matrix:
| a | b |
| c | d |
Determinant = ad − bc
If it’s zero, we can’t find the inverse.
Like dividing in matrix world.
If A × B = Identity, then B is the inverse of A.
Not all matrices have an inverse.
Example system:
2x + 3y = 8
x + y = 3
In matrix form:
A =
| 2 | 3 |
| 1 | 1 |
X =
| x |
| y |
B =
| 8 |
| 3 |
AX = B → we can solve it using inverse of A.
Pixar uses linear algebra to animate characters. Every movement you see involves matrix math!