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Information flow and information production in a population system
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics, Analysis and Applied Mathematics.
2011 (English)In: Physical Review E. Statistical, Nonlinear, and Soft Matter Physics, ISSN 1539-3755, Vol. 84, no 1, 011110- p.Article in journal (Refereed) Published
Abstract [en]

An approach aiming to quantify the dynamics of information within a population is developed based on the mapping of the processes underlying the system's evolution into a birth and death type stochastic process and the derivation of a balance equation for the information entropy. Information entropy flux and information entropy production are identified and their time-dependent properties, as well as their dependence on the parameters present in the problem, are analyzed. States of minimum information entropy production are shown to exist for appropriate parameter values. Furthermore, uncertainty and information production are transiently intensified when the population traverses the inflexion point stage of the logisticlike growth process.

Place, publisher, year, edition, pages
2011. Vol. 84, no 1, 011110- p.
National Category
Physical Sciences
URN: urn:nbn:se:uu:diva-158332DOI: 10.1103/PhysRevE.84.011110ISI: 000293405500006OAI: oai:DiVA.org:uu-158332DiVA: diva2:438985
Available from: 2011-09-06 Created: 2011-09-06 Last updated: 2012-02-16Bibliographically approved

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Analysis and Applied Mathematics
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Physical Review E. Statistical, Nonlinear, and Soft Matter Physics
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