Bounds on the Spectral Sparsification of Symmetric and Off-Diagonal Nonnegative Real Matrices
September 23, 2020 Β· Declared Dead Β· π Discret. Math. Algorithms Appl.
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Authors
Sergio Mercado, Marcos Villagra
arXiv ID
2009.11133
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.DM,
math.SP
Citations
0
Venue
Discret. Math. Algorithms Appl.
Last Checked
5 months ago
Abstract
We say that a square real matrix $M$ is \emph{off-diagonal nonnegative} if and only if all entries outside its diagonal are nonnegative real numbers. In this note we show that for any off-diagonal nonnegative symmetric matrix $M$, there exists a nonnegative symmetric matrix $\widehat{M}$ which is sparse and close in spectrum to $M$.
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