Random Antagonistic Matrices
Giovanni M. Cicuta, Luca Guido Molinari

TL;DR
This paper introduces and studies antagonistic matrices, a generalization of antisymmetric matrices with applications in modeling competitive species dynamics in ecology.
Contribution
The paper defines antagonistic matrices, explores their properties, and connects them to ecological models, extending the class of matrices used in such analyses.
Findings
Antagonistic matrices generalize antisymmetric matrices.
They model competitive interactions with opposite signs.
Applications to ecological dynamics are demonstrated.
Abstract
The ensemble of antagonistic matrices is introduced and studied. In antagonistic matrices the entries and are real and have opposite signs, or are both zero, and the diagonal is zero. This generalization of antisymmetric matrices is suggested by the linearized dynamics of competitive species in ecology.
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