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Revision: Mathematics >> Matrices CUET (UG) Matrices

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Definitions [7]

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: Equality of Matrices

Two matrices are equal if and only if:

  1. They have the same order (same number of rows and columns), and
  2. Their corresponding elements are equal.

Example:

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

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.
Definition: Symmetric Matrix

A square matrix A = [aᵢⱼ]ₙ×ₙ is symmetric if Aᵀ = A
i.e., aᵢⱼ = aⱼᵢ for all i and j.

Definition: Skew-Symmetric Matrix

Skew-Symmetric Matrix: A square matrix A = [aij] n×n is skew-symmetric if Aᵀ = −A i.e., aij = −aji for all i and j.

Definition: Symmetric Matrix

A square matrix A = [aᵢⱼ]ₙ×ₙ is symmetric if Aᵀ = A
i.e., aᵢⱼ = aⱼᵢ for all i and j.

Definition: Skew-Symmetric Matrix

Skew-Symmetric Matrix: A square matrix A = [aij] n×n is skew-symmetric if Aᵀ = −A i.e., aij = −aji for all i and j.

Theorems and Laws [2]

If A and B are symmetric matrices, prove that AB – BA is a skew symmetric matrix.

If A and B are symmetric matrices.

∴ A’ = A and B’ = B

(AB – BA) = (AB)’ – (BA)’   ...[∵ (X – Y) = X’ – Y’]

= B’A’ – A’B’   ...[∵ (XY) = Y’X’]

= BA – AB   ...[∵ B’ = B, A’ = A]

= –(AB – BA)

∴ AB – BA is a skew symmetric matrix.

If A and B are symmetric matrices, prove that AB – BA is a skew symmetric matrix.

If A and B are symmetric matrices.

∴ A’ = A and B’ = B

(AB – BA) = (AB)’ – (BA)’   ...[∵ (X – Y) = X’ – Y’]

= B’A’ – A’B’   ...[∵ (XY) = Y’X’]

= BA – AB   ...[∵ B’ = B, A’ = A]

= –(AB – BA)

∴ AB – BA is a skew symmetric matrix.

Key Points

Key Points: Concept of Matrices
  • Matrix: A rectangular array of elements.

  • Element: An entry inside a matrix.

  • Order: Size of a matrix written as rows × columns.

  • Row: Horizontal set of elements.

  • Column: Vertical set of elements.

  • aij​: Element in the i-th row and j-th column.

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: Equality of Matrices
  • Equality of matrices is possible only when the order is the same.

  • Corresponding elements must be compared position by position.

  • If even one corresponding entry differs, the matrices are not equal.

Key Points: Properties of Matrix Addition
Property Rule / Formula
Same Order Rule Matrices can be added or subtracted only if they are of the same order
Commutative Property A + B = B + A
Associative Property A + (B + C) = (A + B) + C
Additive Identity A + 0 = 0 + A = A
Additive Inverse (A + (-A) = (-A) + A = 0
Subtraction Rule A - B = A + (-B)
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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