Square Matrix A that is not Diagonalizable but A^2 is Diagonalizable

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SUMMARY

An example of a square matrix A that is not diagonalizable but A^2 is diagonalizable can be constructed using complex eigenvalues. Specifically, consider the 2x2 matrix A = [[0, -1], [1, 0]], which has eigenvalues i and -i, making it non-diagonalizable. However, A^2 results in the matrix [[-1, 0], [0, -1]], which is diagonalizable with eigenvalues -1 (with multiplicity 2). This demonstrates the required property of A and A^2.

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Deneb Cyg
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The question is "give an example of a square matrix A such that A^2 is diagonalizable but A is not."

I know that if A^2 is diagonalizable, A^2 = P(D^2)P^-1. And if A is not diagonalizable, there is no invertible matrix P and diagonal matrix D such that A=PDP^-1.

However I'm not sure how to begin finding an example.

Can someone explain how to go about finding this?
 
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I'm assuming you're talking about a matrix over the reals...

The diagonalising matrix P is composed of eignevectors, so the eigenvectors need to exist and span dimension n, for the nxn matrix diagonlised form to exist

so you could try and look for a matrix A where no real eigenvalues exist... but A^2 has real eigenvalues...

2x2 is a good place to start...
 
And i and -i are good eigenvalues to start with!
 

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