Minimal polynomial and diagonalization of a block matrix

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SUMMARY

The discussion centers on the equivalence classes of rank-1 matrices within the set X, defined as X := {A ∈ ℂ^{n×n} : rank(A) = 1}. It is established that there are an infinite number of equivalence classes for these matrices, contradicting the initial assumption of a finite number of representatives. The properties of rank-1 matrices, particularly their similarity relations, are crucial for understanding their classification. For further insights, reviewing matrix similarity concepts is recommended.

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  • Familiarity with matrix similarity and equivalence relations
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Homework Statement .

Let ##X:=\{A \in \mathbb C^{n\times n} : rank(A)=1\}##. Determine a representative for each equivalence class, for the equivalence relation "similarity" in ##X##.

The attempt at a solution.

I am a pretty lost with this problem: I know that, thinking in terms of columns ##X## is the set of matrices with just one linearly independent column. In an ##n\times n## matrix there are ##n## columns, so I thought that maybe there could be ##n## representatives of this equivalence relation, but I couldn't prove it and in fact I am not at all convinced this is true. I would appreciate suggestions to solve the problem.
 
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I know that, thinking in terms of columns X is the set of matrices with just one linearly independent column.

That is correct, but rank-1 matrices have other properties that could be more useful to answer the question. Reading http://en.wikipedia.org/wiki/Matrix_similarity should give you some ideas.

I thought that maybe there could be n representatives of this equivalence relation, but I couldn't prove it and in fact I am not at all convinced this is true.
It's not true. There are an infinite number of equivalence classes, and an infinite number of matrices in each class.
 
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