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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao zbMATH Openarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article . 2025
Data sources: zbMATH Open
Communications in Optimization Theory
Article . 2025 . Peer-reviewed
Data sources: Crossref
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On matrices whose exponential is a P-matrix

Authors: Wu, Chengshuai; Ovseevich, Alexander; Margaliot, Michael;

On matrices whose exponential is a P-matrix

Abstract

Summary: A matrix is called a P-matrix if all its principal minors are positive. P-matrices have found important applications in functional analysis, mathematical programming, and dynamical systems theory. We introduce a new class of real matrices denoted \(\mathbb{E}^{\mathbb{P}}\). A matrix \(A\) is in \(\mathbb{E}^{\mathbb{P}}\) if \(\exp (At)\) is a P-matrix any \(t\geq 0\). We analyze the properties of this new class of matrices and describe an application of the theoretical results to opinion dynamics.

Keywords

Matrix exponential and similar functions of matrices, totally non-negative matrices, Linear ordinary differential equations and systems, consensus algorithms, Special matrices, compound matrices, P-matrices, linear dynamical systems

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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