Show that A and its transpose have the same eigenvalues

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Homework Help Overview

The discussion revolves around the eigenvalues of a matrix \( A \) and its transpose \( A^T \). Participants are tasked with showing that these matrices have the same eigenvalues, exploring the relationship between their determinants and eigenvalue equations.

Discussion Character

  • Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the implications of showing that \( |A - \lambda I| = 0 \) if and only if \( |A^T - \lambda I| = 0 \). There is inquiry about whether \( A \) and \( A^T \) also share the same eigenvectors, with some expressing uncertainty about this relationship.

Discussion Status

Some participants have provided guidance on focusing the proof and clarifying the relationship between determinants of \( A \) and \( A^T \). Multiple interpretations regarding the eigenvectors are being explored, with no explicit consensus reached.

Contextual Notes

Participants are encouraged to consider the properties of determinants and the implications of matrix transposition in the context of eigenvalues. There is mention of a previous example that may provide additional context for understanding 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?
 

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