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 | American English |
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Pages (from-to) | 728-733 |
Number of pages | 6 |
Journal | Information Processing Letters |
Volume | 114 |
Issue number | 12 |
DOIs | |
State | Published - 1 Jan 2014 |
Keywords
- Algorithms
- Irreducibility
- Perron-Frobenius theorem
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Signal Processing
- Information Systems
- Computer Science Applications