Undergrad Lecture notes on SUSY using finite matrix as example?

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The discussion focuses on the use of finite matrices to illustrate the factorization trick in supersymmetry (SUSY), particularly through the Hamiltonians H0 and H1 derived from Witten's "SUSY QM." The proof involves demonstrating that if Ψ is an eigenvector of H0, then A^+Ψ is an eigenvector of H1 with the same eigenvalue, except for zero. The original poster is seeking lecture notes or blog entries that specifically address this concept using finite matrices, especially in relation to Cholesky factorization. They suggest searching for terms like "SUSY transformation" and "Cholesky factorization" for relevant resources. The conversation highlights the challenge of finding specific educational materials on this topic.
arivero
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TL;DR
Eigen(AA^+)=Eigen(A^+A)
As you know, a lot of SUSY examples, particularly from Witten's "SUSY QM", pivot on the factorisation trick: produce two hamiltonians $$H_0=AA^+, H_1=A^+A$$ and see they have the same eigenvalues except for ceros.

The proof usually goes by: let ##\Psi## be an eigenvector of ##H_0##, consider ##|A^+\Psi \rangle ##, then $$H_1 |A^+\Psi \rangle =A^+AA^+\Psi=A^+H_0\Psi=A^+\lambda\Psi=\lambda|A^+\Psi \rangle$$
Now this can be already seen if A a 2x3 matrix, and I think that I have sometimes this example as an starting point but just now I can not locate it, do any of you remember perhaps a blog entry or, better, any set of lecture notes doing this? With finite matrices, I mean.

I got the idea of searching simultaneously for "susy lectures" and "Cholesky factorisation" but no results.
 
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Maybe try SUSY transformation and Cholesky factorization.
 
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