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Type: Artigo de periódico
Author: Garibaldi, E
Sobottka, M
Abstract: In this work, we propose a dynamic-programming-based explanation for the reported stability of the female and male ratios in biological populations. Using tools of variational theory applied to the study of ground states in one-dimensional crystal, we introduce the notion of historically adapted populations as global minimizers of maintenance cost functions, and prove that historically adapted populations typically present an observable stability in the sex ratio. This mathematical formulation suggests that stable observable sex ratio is an intrinsic feature of populations that are efficient in the use of the resources.
Subject: population dynamics
finite-resource environment
sex ratio
dynamic programming
ground state
Country: EUA
Editor: Siam Publications
Rights: aberto
Identifier DOI: 10.1137/100817310
Date Issue: 2011
Appears in Collections:Unicamp - Artigos e Outros Documentos

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