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Revision: Determinants and Matrices Maths HSC Science (General) 11th Standard Maharashtra State Board

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Definitions [4]

Definition: Determinant

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.

Definition: Cramer’s Rule (Determinant Method)

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
Definition: Matrix

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”
Definition: Transpose of a Matrix

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]

Formula: Determinant Method (Cramer’s Rule)

\[D=
\begin{vmatrix}
a_1 & b_1 \\
a_2 & b_2
\end{vmatrix}=a_1b_2-a_2b_1\]

\[D_x=
\begin{vmatrix}
c_1 & b_1 \\
c_2 & b_2
\end{vmatrix}=c_1b_2-c_2b_1\]

\[D_y=
\begin{vmatrix}
a_1 & c_1 \\
a_2 & c_2
\end{vmatrix}=a_1c_2-a_2c_1\]

\[x=\frac{D_x}{D}\quad\mathrm{and}\quad y=\frac{D_y}{D}\]

  • If D ≠ 0 → unique solution

  • If D = 0 → Cramer’s rule is not applicable

Key Points

Key Points: Types of Matrices
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
Key Points: Properties of Matrix Multiplication
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)
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