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Solve the following nonlinear equations for $v$ and $w$





where $\lambda_1, \lambda_2, \lambda_3$ are real. $A$, $B$ are n-by-n symmetric matrices. Furthermore, they are similar and each of them has exactly $n/2$ eigenvalues equal to $+1$ and $n/2$ eigenvalues equal to $-1$.

It is part of my attempt to minimize

$\sum_A |w^TAv|^2$

by Lagrange multiplier. Here A are all tensor products of Pauli matrices

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Only a partial answer:

Suppose $\alpha:=v^TAw\neq 0$, $\beta:=v^T B w \neq 0$. Then the equations are $$(\alpha A + \beta B)v=\lambda_1v+\lambda_2w, $$ $$ (\alpha A + \beta B)w=\lambda_2v+\lambda_1w. $$ The idea in the answer to your other question still applies, you can tell that $v$ and $w$ are linear combinations of two eigenvectors $x_1,x_2$ of $\alpha A +\beta B$. I am not sure that this is enough in this case though, since getting the eigenpairs of $\alpha A + \beta B$ for yet-unknown $\alpha,\beta$ is not as easy as for a known matrix.

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I agree. It is where I got stuck. $\alpha$ and $\beta$ are functions of $v, w$ and they do not equal so can't be put to the other side as for the other question. – Minh Tran Oct 29 '12 at 6:59

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