Definitions [4]
A determinant is a number associated with a square matrix.
\[\begin{vmatrix}
a & b \\
c & d
\end{vmatrix}=ad-bc\]
The value of the determinant is ad - bc.
The degree of a 2 × 2 determinant is 2.
Cramer’s Rule is a method to solve simultaneous linear equations using determinants.
-
It can be applied only when the determinant D ≠ 0
- Standard Form of Equations
a2x + b2y = c2
A matrix is a rectangular arrangement of numbers arranged in rows and columns, enclosed in brackets [ ] or parentheses ( ).
Elements (Entries) of a Matrix
- Each number in a matrix is called an element (or entry).
Rows and Columns
- Horizontal lines → rows
- Vertical lines → columns
Order of a Matrix
- Order = number of rows × number of columns
- Written as m × n and read as “m by n”
The transpose of a matrix is obtained by interchanging its rows and columns.
-
If a matrix is A, its transpose is denoted by AT
-
If A is of order m × n, then
AT is of order n × m - First row of A becomes first column of AT, and so on.
Formulae [1]
\[D=
\begin{vmatrix}
a_1 & b_1 \\
a_2 & b_2
\end{vmatrix}=a_1b_2-a_2b_1\]
\[D_x=
\begin{vmatrix}
c_1 & b_1 \\
c_2 & b_2
\end{vmatrix}=c_1b_2-c_2b_1\]
\[D_y=
\begin{vmatrix}
a_1 & c_1 \\
a_2 & c_2
\end{vmatrix}=a_1c_2-a_2c_1\]
\[x=\frac{D_x}{D}\quad\mathrm{and}\quad y=\frac{D_y}{D}\]
-
If D ≠ 0 → unique solution
-
If D = 0 → Cramer’s rule is not applicable
Key Points
| Type of Matrix | Key Property |
|---|---|
| Row Matrix | Has only one row (1 × n) |
| Column Matrix | Has only one column (m × 1) |
| Square Matrix | Number of rows = number of columns (n × n) |
| Rectangular Matrix | Number of rows ≠ , number of columns |
| Zero (Null) Matrix | All elements are 0 |
| Diagonal Matrix | Square matrix; all non-diagonal elements = 0 |
| Unit (Identity) Matrix | Diagonal matrix with all diagonal elements = 1 |
| Property | Rule / Statement |
|---|---|
| Compatibility Rule | Matrices A and B can be multiplied only if the columns of A = the rows of B |
| Order of Product | If A is m × n and B is n × p, then AB is m × p |
| Non-Commutative | AB `\cancel(=)` BA (in general) |
| Associative Property | A(BC) = (AB)C |
| Distributive over Addition | A(B + C) = AB + AC |
| Zero Matrix Property | The product of two non-zero matrices can be a zero matrix |
| Cancellation Law | If AB = AC, it does not imply B = C |
| Identity Matrix | AI = IA = A (orders compatible) |
Concepts [12]
- Definition and Expansion of Determinants
- Minors and Cofactors of Elements of Determinants
- Properties of Determinants
- Application of Determinants
- Determinant Method (Cramer’s Rule)
- Consistency of Three Equations in Two Variables
- Area of Triangle and Collinearity of Three Points
- Concept of Matrices
- Types of Matrices
- Operation on Matrices
- Properties of Matrix Multiplication
- Transpose of a Matrix
