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Hello Can someone explain this statement please?
"A square matrix A is row equivalent to the identity matrix if and only if the columns of A^T
(transpose of A) are linearly independent"
I know the answer is true but I need some explanation..
Thank you :)
Solution
Columns of A^T are same as the rows of A.;;;;;;;; So, the statement reduces to "A square matrix
A is row equivalent to the identity matrix if and only if the rows of A are linearly independent"
.Let us prove this;;;;;;;;;;; Consider A to be a set of 3 linear equations, with variables x,y,z. If it
has a unique solution, then the set of 3 linear equations obtained from identity matrix also have a
unique solution. [By linear row transformations.] So,A is row equivalent to the identity
matrix.But if they are not linearly independant, they cant have a unique solution but the identity
matrix has a unique solution.So, they cant be row equivalent in this case. So, the 'if and only if"
statement is justified

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Hello Can someone explain this statement please- --A square matrix A i.docx

  • 1. Hello Can someone explain this statement please? "A square matrix A is row equivalent to the identity matrix if and only if the columns of A^T (transpose of A) are linearly independent" I know the answer is true but I need some explanation.. Thank you :) Solution Columns of A^T are same as the rows of A.;;;;;;;; So, the statement reduces to "A square matrix A is row equivalent to the identity matrix if and only if the rows of A are linearly independent" .Let us prove this;;;;;;;;;;; Consider A to be a set of 3 linear equations, with variables x,y,z. If it has a unique solution, then the set of 3 linear equations obtained from identity matrix also have a unique solution. [By linear row transformations.] So,A is row equivalent to the identity matrix.But if they are not linearly independant, they cant have a unique solution but the identity matrix has a unique solution.So, they cant be row equivalent in this case. So, the 'if and only if" statement is justified