Abstract
The Perron-Frobenius (PF) theorem provides a simple characterization of the eigenvectors and eigenvalues of irreducible nonnegative square matrices. A generalization of the PF theorem to nonsquare matrices, which can be interpreted as representing systems with additional degrees of freedom, was recently presented in [1]. This generalized theorem requires a notion of irreducibility for nonsquare systems. A suitable definition, based on the property that every maximal square (legal) subsystem is irreducible, is provided in [1], and is shown to be necessary and sufficient for the generalized theorem to hold. This note shows that irreducibility of a nonsquare system can be tested in polynomial time. The analysis uses a graphic representation of the nonsquare system, termed the constraint graph, representing the flow of influence between the constraints of the system.
Original language | English |
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Pages (from-to) | 728-733 |
Number of pages | 6 |
Journal | Information Processing Letters |
Volume | 114 |
Issue number | 12 |
DOIs | |
Publication status | Published - Dec 2014 |
Funding
Eshkol fellowship, Israel Ministry of Science and Technology; Israel Science Foundation [894/09]; Israel PBC [4/11]; Israel ISF [4/11]; United States-Israel Binational Science Foundation [2008348]; Israel Ministry of Science and Technology [6478]; Citigroup Foundation; Google Europe Fellowship; Google FellowshipSupported by Eshkol fellowship, the Israel Ministry of Science and Technology.Supported by a grant of the Israel Science Foundation.Supported in part by the Israel Science Foundation (grant 894/09), the I-CORE program of the Israel PBC and ISF (grant 4/11), the United States-Israel Binational Science Foundation (grant 2008348), the Israel Ministry of Science and Technology (infrastructures grant 6478), and the Citigroup Foundation.Recipient of the Google Europe Fellowship in distributed computing; research supported in part by this Google Fellowship.
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Information Systems
- Signal Processing
- Computer Science Applications