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Singular Matrix: A singular matrix is a square matrix of determinant “0.” i.e., a square matrix A is singular if and only if det A = 0. Inverse of a matrix A is found using the formula A-1 = (adj A) / (det A). Thus, a matrix is called a square matrix if its determinant is zero. Now let us discuss about singular matrix, its properties, and others in detail. Table of Content What is a Singular Matrix?A square matrix is said to be a singular matrix if its determinant is zero and it is not invertible. In a singular matrix, some rows and columns are linearly dependent. As the rows and columns of a singular matrix are linearly dependent, the rank of the matrix will be less than the order of the matrix. ![]() Singular Matrix Definition Singular Matrix Definition
The image given below is an “m × n” matrix that has “m” rows and “n” columns. ![]() We know that the formula to determine the inverse of a matrix is equal to the adjoint of the matrix divided by the determinant of the matrix, i.e., A-1 = (adj A) / |A|. From the definition of a singular matrix, we know that |A| = 0, so its inverse is not defined. Let us consider that A and B are two square matrices of order “n × n” If,
where,
Thus, matrix A is a non-singular matrix. Examples of Singular MatrixVarious examples of singular matrices are:
Properties of a Singular MatrixThe following are the properties of the Singular Matrix:
Differences Between Singular and Non-Singular MatrixDifferences between Singular Matrix and Non-Singular Matrix can be understood using the table given below
Identifying a Singular MatrixFollow the conditions given below to determine whether the given matrix is singular or not.
⇒ If |A|= 0, then the given matrix is singular. ⇒ If |A|≠0, then the given matrix is non-singular. Formula for Determinant of “2 × 2” MatrixIf A = [Tex]\left[\begin{array}{cc} a & b\\ c & d \end{array}\right] [/Tex] is a “2 × 2” matrix, then its determinant is
Formula for Determinant of “3 × 3” MatrixIf A = [Tex]\left[\begin{array}{ccc} a_{1} & a_{2} & a_{3}\\ b_{1} & b_{2} & b_{3}\\ c_{1} & c_{2} & c_{3} \end{array}\right] [/Tex] is a “3 × 3” matrix, then its determinant is
Articles Related to Singular Matrix:Solved Examples on Singular MatrixExample 1: Find the value of k if the matrix given below, is a singular matrix. [Tex]A = \left[\begin{array}{cc} k & -4\\ 5 & 2 \end{array}\right] [/Tex] Solution:
Example 2: Determine the inverse of the matrix given below. [Tex]P = \left[\begin{array}{cc} -3 & 4\\ 6 & -8 \end{array}\right] [/Tex] Solution:
Example 3: Determine whether the given matrix is singular or not. [Tex]A = \left[\begin{array}{ccc} 1 & 0 & -3\\ 0 & 5 & 2\\ -1 & 4 & 0 \end{array}\right] [/Tex] Solution:
Example 4: Find the value of b if the matrix given below, is a singular matrix. [Tex]B = \left[\begin{array}{cc} 9 & b\\ 6 & -2 \end{array}\right] [/Tex] Solution:
FAQs on Singular MatrixDefine a Matrix.
What is a Singular Matrix?
What is the Rank of a Singular Matrix of Order “3 × 3”?
What is the Determinant of a Singular Matrix?
Is a Zero Matrix a Singular Matrix?
What is Rank of a Singular Matrix?
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Class 12 |
Type: | Geek |
Category: | Coding |
Sub Category: | Tutorial |
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