Probabilistic Models of Population Evolution

Étienne Pardoux

ISBN 10: 3319303260 / ISBN 13: 9783319303260

Published by Springer International Publishing Jun 2016, 2016

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -This expositorybook presents the mathematical description of evolutionary models of populations subject to interactions (e.g. competition) within the population. The authorincludes both models of finite populations, and limiting models as the size of the population tends to infinity.The size of the population is describedas a random function of time and of the initial population (the ancestors at time 0). The genealogical tree of such apopulation is given. Most models imply that the population is bound to go extinct in finite time. It is explained when the interaction is strong enough so that the extinction time remains finite, when the ancestral population at time 0 goes to infinity. The material could be used for teaching stochastic processes, together with their applications.Étienne Pardoux is Professor at Aix-Marseille University, working in the field of Stochastic Analysis, stochastic partial differential equations, and probabilistic models in evolutionary biology and population genetics. He obtained his PhD in 1975 at University of Paris-Sud. 136 pp. Englisch.

Seller Inventory # 9783319303260

Bibliographic Details

• Title: Probabilistic Models of Population Evolution
• Publisher: Springer International Publishing Jun 2016
• Publication Date: 2016
• Language: English
• ISBN 10: 3319303260
• ISBN 13: 9783319303260
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

This expository book presents the mathematical description of evolutionary models of populations subject to interactions (e.g. competition) within the population. The author includes both models of finite populations, and limiting models as the size of the population tends to infinity. The size of the population is described as a random function of time and of the initial population (the ancestors at time 0). The genealogical tree of such a population is given. Most models imply that the population is bound to go extinct in finite time. It is explained when the interaction is strong enough so that the extinction time remains finite, when the ancestral population at time 0 goes to infinity. The material could be used for teaching stochastic processes, together with their applications.

Étienne Pardoux is Professor at Aix-Marseille University, working in the field of Stochastic Analysis, stochastic partial differential equations, and probabilistic models in evolutionary biology and population genetics. He obtained his PhD in 1975 at University of Paris-Sud.

About the Author

Étienne Pardoux is Professor at Aix-Marseille University, working in the field of Stochastic Analysis, in particular Stochastic partial differential equations. He obtained his PhD in 1975 at University of Paris-Sud.