Understanding the Inverse of a Matrix: A'*A=I but A*A'<>I

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The discussion centers on the properties of the matrix A, specifically regarding its transpose and the identity matrix. A is a 6x3 matrix, leading to the observation that A'*A equals the identity matrix, while A*A' does not. The confusion arises from the conditions under which matrix inverses and orthogonality apply, particularly in non-square matrices. The participants clarify that the transpose of a product does not guarantee the identity unless both matrices involved are square and invertible. The conversation concludes with an acknowledgment of the mistake regarding the interpretation of transposes and orthogonal matrices.
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Homework Statement



I encounter a strange problem.

Let A= [1.0000 0 0
0 0 0
0 0 0.4472
0 0.3162 0
0 0.9487 0
0 0 0.8944]

I am surprise to find that A'*A=I, but A*A'<>I . Can anyone give me an explanation?
 
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A is a 6x3 matrix, so A is not square. A is not invertible.

If AB=I, then A=B-1 provided that A and B are invertible to begin with.
 
Thanks for ur kind reply. but must A and B be square such that the following equation holds ?

(A'B)'=B'*A

I think that if A*A'=I (wheter is square or not), we take transpose operator on both sides of the equation, and obtain that

(A*A')' = I'

then

A*A' = I
 
tom08 said:
Thanks for ur kind reply. but must A and B be square such that the following equation holds ?

(A'B)'=B'*A

I think that if A*A'=I (wheter is square or not), we take transpose operator on both sides of the equation, and obtain that

(A*A')' = I'

then

A*A' = I

Sorry I was reading A' as A-1 not AT

But read this, orthogonal matrices
 
thank u so much.

BTW, is there an upper bound for |A'*A-A*A'|

when A is a rectangluar column orthogonal matrix?
 
If you have

A^TA = I

then

(A^TA)^T=A^T(A^T)^T=A^TA=I.

You're starting with AA^T, which isn't equal to the identity matrix, so its transpose won't be either.
 
Thank u, vela and rock. i realize my mistake.
 

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