We present a new method of succinctly determining eigenvectors from
eigenvalues. Specifically, we relate the norm squared of the elements of
eigenvectors to the eigenvalues and the submatrix eigenvalues.
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%0 Generic
%1 denton2019eigenvectors
%A Denton, Peter B.
%A Parke, Stephen J.
%A Tao, Terence
%A Zhang, Xining
%D 2019
%K eigenvalues eigenvectors fulltext math
%T Eigenvectors from Eigenvalues
%U http://arxiv.org/abs/1908.03795
%X We present a new method of succinctly determining eigenvectors from
eigenvalues. Specifically, we relate the norm squared of the elements of
eigenvectors to the eigenvalues and the submatrix eigenvalues.
@misc{denton2019eigenvectors,
abstract = {We present a new method of succinctly determining eigenvectors from
eigenvalues. Specifically, we relate the norm squared of the elements of
eigenvectors to the eigenvalues and the submatrix eigenvalues.},
added-at = {2019-11-17T20:36:23.000+0100},
author = {Denton, Peter B. and Parke, Stephen J. and Tao, Terence and Zhang, Xining},
biburl = {https://www.bibsonomy.org/bibtex/2ea767d7d46daa97e8c1476b62ef852e1/marcsaric},
description = {[1908.03795] Eigenvectors from Eigenvalues},
interhash = {d761ac1f9c325098297da47c2d6ec62f},
intrahash = {ea767d7d46daa97e8c1476b62ef852e1},
keywords = {eigenvalues eigenvectors fulltext math},
note = {cite arxiv:1908.03795},
timestamp = {2019-11-17T20:36:23.000+0100},
title = {Eigenvectors from Eigenvalues},
url = {http://arxiv.org/abs/1908.03795},
year = 2019
}