Do Eigenvalues of A and A^T have the same Eigenvectors?

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If \( AA^T = A^TA \), it can be shown that \( A \) and \( A^T \) share the same eigenvectors. The discussion involves proving that if \( x \) is an eigenvector of \( A \), then \( A^Tx \) is also an eigenvector of \( A \). A misunderstanding arises regarding the relationship between matrices \( A \) and \( B \) when \( AB = BA \), leading to incorrect assumptions about inverses. The conversation emphasizes the importance of not assuming zero is not an eigenvalue of \( A \). The key takeaway is the need for careful consideration of matrix properties in eigenvalue discussions.
arpon
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Homework Statement


If ##AA^T=A^TA##, then prove that ##A## and ##A^T## have the same eigenvectors.

Homework Equations

The Attempt at a Solution


##Ax=\lambda x##
##A^TAx=\lambda A^Tx##
##AA^Tx=\lambda A^Tx##
##A(A^Tx)=\lambda (A^Tx)##
So, ##A^Tx## is also an eigenvector of ##A##.
What should be the next steps?
 
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arpon said:

Homework Statement


If ##AA^T=A^TA##, then prove that ##A## and ##A^T## have the same eigenvectors.

Homework Equations

The Attempt at a Solution


##Ax=\lambda x##
##A^TAx=\lambda A^Tx##
##AA^Tx=\lambda A^Tx##
##A(A^Tx)=\lambda (A^Tx)##
So, ##A^Tx## is also an eigenvector of ##A##.
What you have to show is that if x is an eigenvector of A, then x, not ATx, is also an eigenvector of AT.
arpon said:
What should be the next steps?
 
A fact that might be pertinent here is that for square matrices A and B, if AB = BA, then each one is the inverse of the other.

Edit: As pointed out by Ray, this is not true. Mea culpa.
 
Last edited:
Mark44 said:
A fact that might be pertinent here is that for square matrices A and B, if AB = BA, then each one is the inverse of the other.

If
$$A = \pmatrix{0&1\\1&0} \; \text{and} \; B = \pmatrix{1&0\\0&1}$$
then ##AB = BA = A##, but ##B \neq A^{-1}## and ##A \neq B^{-1}##.

However, if you mean that ##AB = (BA)^{-1}##, etc., then that seems OK, in this example at least.
 
Last edited:
Ray Vickson said:
If
$$A = \pmatrix{0&1\\1&0} \; \text{and} \; B = \pmatrix{1&0\\0&1}$$
then ##AB = BA = A##, but ##B \neq A^{-1}## and ##A \neq B^{-1}##.

However, if you mean that ##AB = (BA)^{-1}##, etc., then that seems OK, in this example at least.
No, I meant the first, so my "fact" was incorrect. I guess I had that confused with if AB = I, then A and B are inverses.
 
Ray Vickson said:
However, if you mean that ##AB = (BA)^{-1}##, etc., then that seems OK, in this example at least.

I don't think we are entitled to assume that 0 is not an eigenvalue of A.
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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