Can Any Matrix Be Similar to Itself Without Being a Scalar Multiple?

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The discussion centers on the conditions under which a matrix A can be similar to itself through a transformation Q that is not a scalar multiple of another transformation S. It establishes that a similarity transformation P exists such that P-1AP = A, with P not proportional to the identity, particularly when A is non-identity similar to itself. The analysis utilizes Jordan normal form to identify transformations, which include exchanging the order of Jordan blocks and self-similarity transformations within a block, leading to a significant family of transformations relevant in representation theory.

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If [itex]S^{-1}BS=A[/itex], can we always find Q ,such that [itex]Q^{-1}BQ=A[/itex]? Q different form S and no scalar multiple of S.
If not, what are some special cases in which we can find one?
i can only find one when A is nonidenityly similar to itself.
 
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This is equivalent to the question of when we can find a similarity transformation that leaves a matrix A invariant: P such that [itex]P^{-1}A P=A[/itex], with P not proportional to the identity ([itex]P=Q^{-1}S[/itex]). For complex matrices, the easiest way to answer the question is to put the matrix in Jordan normal form. The similarity transformations P are then a combination of:

i) Transformations that exchange the order of the Jordan blocks, and
ii) Self-similarity transformations within a single Jordan block.

The second type consists of all upper triangular matrices with entries constant on each diagonal, and nonzero on the main diagonal (so it's invertible). This creates quite a big family of transformations.

[This is often very relevant in the representation theory of groups and other algebraic structures when asking when there are P's which do this for many matrices simultaneously; look up Schur's lemma.]
 

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