2014
DOI: 10.1051/proc/201447007
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Branching and aggregation in self-reproducing systems

Abstract: Self-reproducing systems (SRS) represent ensemble of objects (or individuals) which can produce other objects similar to themselves. If they compete with each other for resources, then they can form aggregates (or clusters) instead of a uniform distribution. New aggregates can split from the previous ones. In terms of biological populations, the aggregates correspond to biological species, and emergence of new aggregates to the process of speciation. Other examples of SRS will also be discussed. Résumé. Les sy… Show more

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Cited by 10 publications
(7 citation statements)
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“…Speciation is considered as a general property of the living matter [35]. It manifests itself in the emergence of biological species and in a variety of other systems [46]. In the framework of mathematical modelling, speciation appears due to a non-homogeneous density distributions u(x, t).…”
Section: Discussionmentioning
confidence: 99%
“…Speciation is considered as a general property of the living matter [35]. It manifests itself in the emergence of biological species and in a variety of other systems [46]. In the framework of mathematical modelling, speciation appears due to a non-homogeneous density distributions u(x, t).…”
Section: Discussionmentioning
confidence: 99%
“…Equation (1.4) has stationary solutions in the form of pulses for all h 2 sufficiently large (r(h 2 ) = 1) [33]. Numerical simulations show that these pulses are stable [13,28,29], though their stability is not proved analytically.…”
Section: Nonlocal Equations In Population Dynamicsmentioning
confidence: 99%
“…The minimal model of speciation includes intraspecific competition (nonlocal consumption), reproduction and mutations (diffusion). Speciation is a general property of the living matter observed in many different contexts [35]. Other nonlocal models of natural selection, intra-and interspecific competition are discussed in [12].…”
Section: Nonlocal Reaction-diffusion Equations In Population Dynamicsmentioning
confidence: 99%