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Stability and steady state of complex cooperative systems: a diakoptic approach
Philip Greulich1,2, Ben D MacArthur1,2,3, Cristina Parigini1,2
1School of Mathematical Sciences, University of Southampton, Southampton SO17 1BJ, UK.
None:
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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