matrices

Precalculus Notes: Matrices, Matrix Order, Equality, Addition & Subtraction

1. Matrix

A matrix is a rectangular arrangement of numbers enclosed in brackets.

Example

[
A=
\begin{bmatrix}
2&5\
1&4
\end{bmatrix}
]


2. Order (Size) of a Matrix

The order tells how many rows × columns a matrix has.

Always write:

Rows × Columns

Examples

Matrix

Order

(\begin{bmatrix}1&2\3&4\end{bmatrix})

2 × 2

(\begin{bmatrix}1&2&3\4&5&6\end{bmatrix})

2 × 3

(\begin{bmatrix}1\2\3\end{bmatrix})

3 × 1

(\begin{bmatrix}1&2&3\end{bmatrix})

1 × 3

Memory Trick

Rows = Horizontal

Columns = Vertical

Order = Rows first, Columns second


3. Matrix Entries

Each number inside a matrix is called an entry.

Notation

[
a_{ij}
]

where

  • (i) = row number

  • (j) = column number

Example

[
\begin{bmatrix}
5&9&3\
2&7&8
\end{bmatrix}
]

  • (a_{11}=5)

  • (a_{12}=9)

  • (a_{23}=8)

Row always comes first.


4. Types of Matrices

A. Square Matrix

Rows = Columns

Example

[
\begin{bmatrix}
1&2&3\
4&5&6\
7&8&9
\end{bmatrix}
]

Order:

3 × 3


B. Non-Square Matrix

Rows ≠ Columns

Example

[
\begin{bmatrix}
1&2\
3&4\
5&6
\end{bmatrix}
]

Order:

3 × 2


C. Row Matrix

Exactly one row

Example

[
\begin{bmatrix}
4&7&9
\end{bmatrix}
]

Order:

1 × 3


D. Column Matrix

Exactly one column

Example

[
\begin{bmatrix}
2\
5\
8
\end{bmatrix}
]

Order:

3 × 1


E. Zero Matrix

Every entry equals 0.

Example

[
\begin{bmatrix}
0&0\
0&0
\end{bmatrix}
]


F. Identity Matrix

A square matrix with

  • 1's on the diagonal

  • 0's everywhere else

Example

[
I_3=
\begin{bmatrix}
1&0&0\
0&1&0\
0&0&1
\end{bmatrix}
]

Identity matrices behave like the number 1 in multiplication.


5. Diagonal Entries

The diagonal runs from

Upper-left

↓

Lower-right

Example

[
\begin{bmatrix}
\boxed1&4&7\
2&\boxed5&9\
6&8&\boxed3
\end{bmatrix}
]

Diagonal entries:

1,5,3

Only square matrices have a full diagonal.


6. Matrix Equality

Two matrices are equal only if BOTH conditions are true.

Condition 1

Same order.

Example

2 × 2 ≠ 2 × 3

Cannot be equal.


Condition 2

Every corresponding entry is equal.

Example

[
\begin{bmatrix}
1&2\
3&4
\end{bmatrix}

\begin{bmatrix}
1&2\
3&4
\end{bmatrix}
]

Equal.


Not equal

[
\begin{bmatrix}
1&2\
3&4
\end{bmatrix}
\neq
\begin{bmatrix}
1&3\
2&4
\end{bmatrix}
]

Same numbers

Wrong positions

Not equal.


7. Matrix Addition

Rule

Matrices can only be added if they have the same order.

Example

[
A=
\begin{bmatrix}
2&5\
3&1
\end{bmatrix}
]

[
B=
\begin{bmatrix}
3&8\
6&2
\end{bmatrix}
]

Add matching entries.

[
A+B=
\begin{bmatrix}
2+3&5+8\
3+6&1+2
\end{bmatrix}

\begin{bmatrix}
5&13\
9&3
\end{bmatrix}
]

Think:

Row with row

Column with column


8. Matrix Subtraction

Rule

Matrices must have the same order.

Subtract corresponding entries.

Example

[
A=
\begin{bmatrix}
1&2\
2&6
\end{bmatrix}
]

[
B=
\begin{bmatrix}
2&-1\
-3&1
\end{bmatrix}
]

[
A-B=
\begin{bmatrix}
1-2&2-(-1)\
2-(-3)&6-1
\end{bmatrix}

\begin{bmatrix}
-1&3\
5&5
\end{bmatrix}
]

Remember

Subtracting a negative

=

Adding

Example

2−(−3)=5


9. Undefined Matrix Addition/Subtraction

Cannot add or subtract matrices of different orders.

Example

2 × 2


3 × 2

Undefined

Example

[
\begin{bmatrix}
1&2\
3&4
\end{bmatrix}
+
\begin{bmatrix}
5\
6
\end{bmatrix}
]

Not possible.


10. Properties of Matrix Addition

Commutative

Order does not matter.

[
A+B=B+A
]


Associative

Grouping does not matter.

[
(A+B)+C=A+(B+C)
]


Subtraction is NOT commutative.

Usually

[
A-B\neq B-A
]


11. Summary Table

Matrix Type

Description

Square

Same rows and columns

Non-square

Different rows and columns

Row Matrix

One row

Column Matrix

One column

Zero Matrix

Every entry is 0

Identity Matrix

Ones on diagonal, zeros elsewhere


12. Important Formulas

Matrix Addition

[
A+B=
[a_{ij}+b_{ij}]
]


Matrix Subtraction

[
A-B=
[a_{ij}-b_{ij}]
]


13. Exam Tips

✓ Order = Rows × Columns.

✓ Rows come before columns.

✓ (a_{ij}):

  • (i) = row

  • (j) = column

✓ Square matrix → rows = columns.

✓ Identity matrix → diagonal = 1, everything else = 0.

✓ Zero matrix → every entry = 0.

✓ Matrices must have the same order to add or subtract.

✓ Add and subtract entry by entry.

✓ Matrix addition is commutative and associative.

✓ Matrix subtraction is not commutative.

✓ Two matrices are equal only if:

  1. Same order.

  2. Every corresponding entry is equal.