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Keywords:
cell matrix; inverse eigenvalue problem; Euclidean distance matrix
cell matrix; inverse eigenvalue problem; Euclidean distance matrix
Summary:
We consider the problem of reconstructing an $n \times n$ cell matrix $D(\vec {x})$ constructed from a vector $\vec {x} = (x_{1}, x_{2},\dots , x_{n})$ of positive real numbers, from a given set of spectral data. In addition, we show that the spectra of cell matrices $D(\vec {x})$ and $D(\pi (\vec {x}))$ are the same for every permutation $\pi \in S_{n}$.
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