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Assume one knows the eigenvalues $(\lambda_i)$ of a real matrix $M$ of size $n \times n$. Let $b$ be a vector in $\mathbb{R}^n$ and construct the following matrix $J$ by: $$J_{ij} = M_{ij}b_j$$ Can we deduce the eigenvalues of $J$ from the eigenvalues $\lambda_i$ and the vector $b$ ?

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J is a vector... –  user13838 Oct 10 '11 at 17:18
    
@percusse : no i think J is a matrix –  mellow Oct 10 '11 at 17:20
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Okay, so you're postmultiplying $M$ with the diagonal matrix $\mathrm{diag}(b)$... I would say there doesn't seem to be a nice relationship between the eigenvalues of that and the eigenvalues of your original matrix... –  J. M. Oct 10 '11 at 17:21
    
To make it clearer what $J$ is, you could write $$J=M\mathrm{diag}(\vec{b}).$$ –  anon Oct 10 '11 at 17:23
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A related question... –  J. M. Oct 10 '11 at 17:27

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No. For example, suppose $n=2$ and we know that $M$ has eigenvalues $0$ and $2$ and that $b=(1,0)$. Then we might have $M=\begin{pmatrix} 2 & 0 \\ 0 & 0 \end{pmatrix}$, in which case $J=\begin{pmatrix} 2 & 0 \\ 0 & 0 \end{pmatrix}$ has eigenvalues $0$ and $2$. On the other hand, we might have $M=\begin{pmatrix} 0 & 0 \\ 0 & 2 \end{pmatrix}$, in which case $J=\begin{pmatrix} 0 & 0 \\ 0 & 0 \end{pmatrix}$ has $0$ as its only eigenvalue.

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