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arxiv: 1411.4756 · v1 · pith:ANPPYTGUnew · submitted 2014-11-18 · ⚛️ physics.soc-ph · nlin.AO· physics.pop-ph· q-bio.QM· q-fin.RM

Diversification versus specialization -- lessons from a noise driven linear dynamical system

classification ⚛️ physics.soc-ph nlin.AOphysics.pop-phq-bio.QMq-fin.RM
keywords systemdiversificationspecializationsystemsamountcorrelateddynamicalelements
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Specialization and diversification are two major strategies that complex systems might exploit. Given a fixed amount of resources, the question is whether to invest this in elements that respond in a correlated manner to external perturbations, or to build a diversified system with groups of elements that respond in a not necessarily correlated manner. This general dilemma is investigated here using a high dimensional discrete dynamical system subject to an external noise, analyzing the statistical properties of an order parameter that quantifies growth. Our analytical solution suggests that diversification is a good strategy once the system has a fair amount of resources. For systems with small or extremely large supplies, we argue that specialization might be a more successful strategy. We discuss the results also from the perspective of economic and biologic systems.

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