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Condensed Matter > Disordered Systems and Neural Networks

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[Submitted on 22 Sep 2020]

Title:Properties of equilibria and glassy phases of the random Lotka-Volterra model with demographic noise

Authors:Ada Altieri, Felix Roy, Chiara Cammarota, Giulio Biroli
Download a PDF of the paper titled Properties of equilibria and glassy phases of the random Lotka-Volterra model with demographic noise, by Ada Altieri and 3 other authors
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Abstract: In this letter we study a reference model in theoretical ecology, the disordered Lotka-Volterra model for ecological communities, in the presence of finite demographic noise. Our theoretical analysis, which takes advantage of a mapping to an equilibrium disordered system, proves that for sufficiently heterogeneous interactions and low demographic noise the system displays a multiple equilibria phase, which we fully characterize. In particular, we show that in this phase the number of stable equilibria is exponential in the number of species. Upon further decreasing the demographic noise, we unveil a "Gardner" transition to a marginally stable phase, similar to that observed in jamming of amorphous materials. We confirm and complement our analytical results by numerical simulations. Furthermore, we extend their relevance by showing that they hold for others interacting random dynamical systems, such as the Random Replicant Model. Finally, we discuss their extension to the case of asymmetric couplings.
Comments: 5 pages, 5 figures in the main text. 19 pages and 13 figures considering the Supplementary Material
Subjects: Disordered Systems and Neural Networks (cond-mat.dis-nn); Statistical Mechanics (cond-mat.stat-mech)
Cite as: arXiv:2009.10565 [cond-mat.dis-nn]
  (or arXiv:2009.10565v1 [cond-mat.dis-nn] for this version)
  https://doi.org/10.48550/arXiv.2009.10565
arXiv-issued DOI via DataCite
Journal reference: Phys. Rev. Lett. 126, 258301 (2021)
Related DOI: https://doi.org/10.1103/PhysRevLett.126.258301
DOI(s) linking to related resources

Submission history

From: Ada Altieri [view email]
[v1] Tue, 22 Sep 2020 14:06:32 UTC (12,782 KB)
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