Matrix Algorithms & Linear Algebra Basics

Linear algebra is about vectors and matrices. It helps us solve systems of equations. It’s useful in many areas of computer science.

1. What Is a Matrix?

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.

2. Real-Life Example

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.

3. Matrix Addition

You can add two matrices of the same size.

Example:

1 2
3 4

+

5 6
7 8

=

6 8
10 12

4. Matrix Multiplication

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.

5. Identity Matrix

This is like the number 1 for matrices.

1 0
0 1

Any matrix × identity = the same matrix.

6. Transpose

Flip rows and columns.

Example:

1 2
3 4

Transpose:

1 3
2 4

7. Determinant (2x2)

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.

8. Inverse Matrix

Like dividing in matrix world.

If A × B = Identity, then B is the inverse of A.

Not all matrices have an inverse.

9. Solving Linear Equations

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.

10. Applications in Real Life

Summary

Fun Fact

Pixar uses linear algebra to animate characters. Every movement you see involves matrix math!