Prove that T and T^m are simultaneously diagonalizable.

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In summary: PTmP-1 = (P-1AP)m = P-1AmP = Dmin summary, if T is diagonalizable with diagonal matrix D, then Tm is also diagonalizable with diagonal matrix Dm, and therefore T and Tm are simultaneously diagonalizable.
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amanda_ou812
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Question: Let T be a diagonalizable linear operator on a finite-dimensional vector space, and let m be any positive integer. Prove that T and T^m are simultaneously diagonalizable.
Definition: Two linear operators T and U are finite-dimensional vector space V are called simultaneously diagonalizable if there exists an ordered basis B for V such that both [T]B and B are diagonal matrices. Similarly, A and B are called simultaneously diagonalizable if there exists and invertible matrix Q such that Q-1AQ and Q-1BQ are diagonal matrices.Attempt at a solution: If T is a linear operator then there is a basis B for V such that [T]B = A is a matrix representation of T. Now, T is diagonalizable and therefore there is a invertible matrix Q such that C = Q-1AQ is a diagonal matrix. Recall that A = QCQ-1 and A^m = QC^m Q-1 = B which is a diagonal matrix. So, A*A^m = AB = (QCQ-1)(QC^m Q-1) = QC(Q-1 Q)C^m Q-1 = QC C^m Q-1) = QC^m CQ-1 [since diagonal matrices commute] = QC^m Q-1 QCQ-1 = (QC^m Q-1)( QCQ-1) = A^m A = BA. Therefore T and T^m commute and are simultaneously diagonalizable.

I think I am missing something.

Any suggestions?
 
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question: why do you care if T and Tm commute? (i mean, they obviously do, but how is that relevant)?

if T is diagonalizable, then for any basis B, if [T]B = A, there is some invertible matrix P

(why?) so that:

P-1AP = D, where D is diagonal. furthermore Dm is diagonal with:

Dm = P-1AmP.
 

FAQ: Prove that T and T^m are simultaneously diagonalizable.

What does it mean for two matrices to be simultaneously diagonalizable?

Two matrices are simultaneously diagonalizable if they can be transformed into diagonal matrices using the same invertible matrix. This means that they share the same set of eigenvectors.

Why is it important for matrices to be simultaneously diagonalizable?

Simultaneous diagonalization makes it easier to perform computations and understand the behavior of the matrices. It also allows for simpler representations of the matrices in terms of their eigenvalues and eigenvectors.

How can I prove that two matrices are simultaneously diagonalizable?

To prove that T and T^m are simultaneously diagonalizable, you need to show that they share the same set of eigenvectors. This can be done by finding the eigenvalues and eigenvectors of both matrices and showing that they are identical.

What are some properties of simultaneously diagonalizable matrices?

Simultaneously diagonalizable matrices commute with each other and have the same eigenspaces. This means that they can be multiplied in any order and their eigenvectors can be used as a basis for the vector space.

Can all matrices be simultaneously diagonalizable?

No, not all matrices are simultaneously diagonalizable. Some matrices may not have enough eigenvectors to form a basis for the vector space, while others may have complex eigenvalues that cannot be used to diagonalize the matrix.

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