DrDolittle
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This is a condensation of my understanding of existence of matrix inverses.
We know that for a matrix to be invertible, its rank should be as large as possible. Let m,n denote the order of the matrix A,that is, m*n, r denote the rank of the matrix.
For a square matrix r=m=n, and A*inverse(A) = inverse(A)*A = 1
For a rectangular matrix [ A*inverse(A) is not equal to inverse(A)*A]
1)if m>n
r=n,
No free variables or only pivot columns
No nullspace(only the zero vector)
atmost one solution
2)if m<n
r=m,
free variables exist
null space exists
atleast one solution
The only thing i didnt understand is how to deduce there exist a left inverse for the first condition and right inverse for the second condition.
Thanx in advance
Regards
drdolittle
We know that for a matrix to be invertible, its rank should be as large as possible. Let m,n denote the order of the matrix A,that is, m*n, r denote the rank of the matrix.
For a square matrix r=m=n, and A*inverse(A) = inverse(A)*A = 1
For a rectangular matrix [ A*inverse(A) is not equal to inverse(A)*A]
1)if m>n
r=n,
No free variables or only pivot columns
No nullspace(only the zero vector)
atmost one solution
2)if m<n
r=m,
free variables exist
null space exists
atleast one solution
The only thing i didnt understand is how to deduce there exist a left inverse for the first condition and right inverse for the second condition.
Thanx in advance
Regards
drdolittle