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Stability and steady state of complex cooperative systems: a diakoptic approach

Cooperative dynamics are common in ecology and population dynamics. However, their commonly high degree of complexity with a large number of coupled degrees of freedom renders them difficult to analyse. Here, we present a graph-theoretical criterion, via a diakoptic approach (divide-and-conquer) to...

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Autores principales: Greulich, Philip, MacArthur, Ben D., Parigini, Cristina, Sánchez-García, Rubén J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6936286/
https://www.ncbi.nlm.nih.gov/pubmed/31903203
http://dx.doi.org/10.1098/rsos.191090
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author Greulich, Philip
MacArthur, Ben D.
Parigini, Cristina
Sánchez-García, Rubén J.
author_facet Greulich, Philip
MacArthur, Ben D.
Parigini, Cristina
Sánchez-García, Rubén J.
author_sort Greulich, Philip
collection PubMed
description Cooperative dynamics are common in ecology and population dynamics. However, their commonly high degree of complexity with a large number of coupled degrees of freedom renders them difficult to analyse. Here, we present a graph-theoretical criterion, via a diakoptic approach (divide-and-conquer) to determine a cooperative system’s stability by decomposing the system’s dependence graph into its strongly connected components (SCCs). In particular, we show that a linear cooperative system is Lyapunov stable if the SCCs of the associated dependence graph all have non-positive dominant eigenvalues, and if no SCCs which have dominant eigenvalue zero are connected by a path.
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spelling pubmed-69362862020-01-03 Stability and steady state of complex cooperative systems: a diakoptic approach Greulich, Philip MacArthur, Ben D. Parigini, Cristina Sánchez-García, Rubén J. R Soc Open Sci Mathematics Cooperative dynamics are common in ecology and population dynamics. However, their commonly high degree of complexity with a large number of coupled degrees of freedom renders them difficult to analyse. Here, we present a graph-theoretical criterion, via a diakoptic approach (divide-and-conquer) to determine a cooperative system’s stability by decomposing the system’s dependence graph into its strongly connected components (SCCs). In particular, we show that a linear cooperative system is Lyapunov stable if the SCCs of the associated dependence graph all have non-positive dominant eigenvalues, and if no SCCs which have dominant eigenvalue zero are connected by a path. The Royal Society 2019-12-04 /pmc/articles/PMC6936286/ /pubmed/31903203 http://dx.doi.org/10.1098/rsos.191090 Text en © 2019 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Mathematics
Greulich, Philip
MacArthur, Ben D.
Parigini, Cristina
Sánchez-García, Rubén J.
Stability and steady state of complex cooperative systems: a diakoptic approach
title Stability and steady state of complex cooperative systems: a diakoptic approach
title_full Stability and steady state of complex cooperative systems: a diakoptic approach
title_fullStr Stability and steady state of complex cooperative systems: a diakoptic approach
title_full_unstemmed Stability and steady state of complex cooperative systems: a diakoptic approach
title_short Stability and steady state of complex cooperative systems: a diakoptic approach
title_sort stability and steady state of complex cooperative systems: a diakoptic approach
topic Mathematics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6936286/
https://www.ncbi.nlm.nih.gov/pubmed/31903203
http://dx.doi.org/10.1098/rsos.191090
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