Prove that rank of a non-Singular matrix is equal to rank of its reciprocal matrix....
Answers
A square matrix $A$ of order $n$ is said to be nonsingular if and only if there is a matrix $B =: A^{-1}$ such that $AA^{-1} = A^{-1}A = I_{n}$. The matrix
$A^{-1}$ is said to be the inverse of $A$.
From the inverse formula
$A^{-1} = (1/det A)adj A$.
We see that, if $det A = 0$ then $A$ has no inverse (singular matrix). And by definition of rank of matrix:
Definition. A non-zero matrix $A$ is said to have rank $r$ if at least one of its $r$-square minors is different from zero while every $(r + 1)$-square minor, if any, is zero. A zero matrix is said to have rank $0$.
Therefore A is nonsingular if and only if $rank A = n$. Equivalently, $A$ has no inverse if and only if $rank A$ less than $n$.
Answer:
Rank of a non-Singular matrix is equal to rank of its reciprocal matrix
Step-by-step explanation:
A square matrix of order
is said to be nonsingular if and only if there is a matrix
such that
The matrix is said to be the inverse of
From the inverse formula
then
has no inverse (singular matrix).
A non-zero matrix is said to have rank
if at least one of its
-square minors is different from zero while every
-square minor, if any, is zero. A zero matrix is said to have rank 0.
Therefore A is nonsingular if and only if . Equivalently,
has no inverse if and only if
less than