मराठी

Revision: Applied Mathematics >> Algebra CUET (UG) Algebra

Advertisements

Definitions [5]

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: 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.

Theorems and Laws [1]

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
Matrix Type Order Key Property
Row Matrix 1 × n  Only one row
Column Matrix m × 1 Only one column
Square Matrix n × n Rows = Column
Rectangular Matrix m × n (m ≠ n) Rows ≠ Columns
Diagonal Matrix n × n Square; non-diagonal elements = 0 
Scalar Matrix n × n Diagonal; all diagonal elements equal
Identity Matrix n × n Scalar matrix with diagonal = 1
Zero Matrix Any order All elements = 0 
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.

Advertisements
Advertisements
Advertisements
Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×