Question

Define the singular matrix.​

Answer 1

`\huge \mathbb{ \underline{ANSWER:}}`

`\leadsto` So the square matrix that has its det zero and its inverse is not defined is called a singular matrix.

`\bold{Example:}`

`\begin{bmatrix} \sf{3} & \sf{6} \\ \sf{2} & \sf{4}\end{bmatrix} \\ \\ \sf and \\ \begin {bmatrix} \sf{ 1} & \sf2 & { \sf2} \\ { \sf1} & { \sf2} & \sf{2} \\ \sf{3} & \sf {2} & \sf{1}\end{bmatrix}`

`\huge \mathbb{ \underline{EXPLANATION:}}`

A singular matrix is a square matrix if its determinant is O. i.e., a square matrix A is singular if and only if det A = 0. The formula to find the inverse of a matrix is

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`\bold{ {A}^(1) = (1 \: )/(det \:A ) adj[A] }`

So if det A = 0 then the inverse of A will be not defined.

Answer 2

A square matrix whose determinant is equal to zero is called singular matrix.