Show that A and its transpose have the same eigenvalues

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A matrix A and its transpose A^T have the same eigenvalues, which can be shown by demonstrating that the determinants of the matrices (A - λI) and (A^T - λI) are equal, as det(A) = det(A^T) for all square matrices. The proof involves using the property of transposes and the relationship between the determinants of a matrix and its transpose. However, while A and A^T share eigenvalues, they do not necessarily have the same eigenvectors. An example is referenced to illustrate that A and A^T can have different eigenspaces. Thus, the conclusion is that A and A^T have the same eigenvalues but may have different eigenvectors.
Mr Davis 97
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Homework Statement


Show that ##A## and ##A^T## have the same eigenvalues.

Homework Equations

The Attempt at a Solution


If they have the same eigenvalues, then ##Ax = \lambda x## iff ##A^T x = \lambda x##. In other words, we have to show that ##|A - \lambda I| = 0## iff ##|A^T - \lambda I| = 0##. From the properties of transpose, we see that ##(A - \lambda I)^T = A^T - \lambda I##. It's a property of transposes that ##A^T## is invertible iff ##A## is also invertible. So we have shown that ##A - \lambda I## is invertible iff ##A^T - \lambda I## is also invertible. So this shows that they have the same eigenvalues.

I think that this is the correct solution, but I am a little confused about the beginning part of the proof. Does this imply that A and its transpose also have the same eigenvectors? Or do they have the same eigenvlues but different eigenvectors?
 
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Mr Davis 97 said:

Homework Statement


Show that ##A## and ##A^T## have the same eigenvalues.

Homework Equations

The Attempt at a Solution


If they have the same eigenvalues, then ##Ax = \lambda x## iff ##A^T x = \lambda x##. In other words, we have to show that ##|A - \lambda I| = 0## iff ##|A^T - \lambda I| = 0##. From the properties of transpose, we see that ##(A - \lambda I)^T = A^T - \lambda I##. It's a property of transposes that ##A^T## is invertible iff ##A## is also invertible. So we have shown that ##A - \lambda I## is invertible iff ##A^T - \lambda I## is also invertible. So this shows that they have the same eigenvalues.

I think that this is the correct solution, but I am a little confused about the beginning part of the proof. Does this imply that A and its transpose also have the same eigenvectors? Or do they have the same eigenvlues but different eigenvectors?
You don't need to consider invertibility here. And you have already said everything you need. Just clean it up a little.
What are the eigenvalues of ##A##?
What are the eigenvalues of ##A^T##?
And how are ##\det B## and ##\det B^T## related for any matrix ##B##? (Esp. for ##B=A-\lambda I##.)
 
fresh_42 said:
You don't need to consider invertibility here. And you have already said everything you need. Just clean it up a little.
What are the eigenvalues of ##A##?
What are the eigenvalues of ##A^T##?
And how are ##\det B## and ##\det B^T## related for any matrix ##B##? (Esp. for ##B=A-\lambda I##.)
##det(A) = det(A^T)## for all square ##A##. So we have that ##det(A - \lambda I) = det((A - \lambda I)^T) = det(A^T - \lambda I)##
 
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fresh_42 said:
You don't need to consider invertibility here. And you have already said everything you need. Just clean it up a little.
What are the eigenvalues of ##A##?
What are the eigenvalues of ##A^T##?
And how are ##\det B## and ##\det B^T## related for any matrix ##B##? (Esp. for ##B=A-\lambda I##.)
So as a last note do ##A## and ##A^T## also have the same eigenvectors?
 
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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