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Beschreibung
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.
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.
Über den Autor
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.
Zusammenfassung
Includes deep mathematical notions in connection with motivating applications
Suitable for graduate students and researchers in mathematical biology
Co-published jointly with Mathematical Biosciences Institute
Inhaltsverzeichnis
Introduction.- Branching Processes.- Convergence to a Continuous State Branching Process.- Continuous State Branching Process (CSBP).- Genealogies.- Models of Finite Population with Interaction.- Convergence to a Continuous State Model.- Continuous Model with Interaction.- Appendix.
Details
Erscheinungsjahr: | 2016 |
---|---|
Fachbereich: | Allgemeines |
Genre: | Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Reihe: | Stochastics in Biological Systems |
Inhalt: |
viii
125 S. 4 s/w Illustr. 2 farbige Illustr. 125 p. 6 illus. 2 illus. in color. |
ISBN-13: | 9783319303260 |
ISBN-10: | 3319303260 |
Sprache: | Englisch |
Herstellernummer: | 978-3-319-30326-0 |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Autor: | Pardoux, Étienne |
Auflage: | 1st ed. 2016 |
Hersteller: |
Springer Nature Switzerland
Springer International Publishing Springer International Publishing AG Stochastics in Biological Systems |
Maße: | 235 x 155 x 8 mm |
Von/Mit: | Étienne Pardoux |
Erscheinungsdatum: | 27.06.2016 |
Gewicht: | 0,243 kg |
Über den Autor
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.
Zusammenfassung
Includes deep mathematical notions in connection with motivating applications
Suitable for graduate students and researchers in mathematical biology
Co-published jointly with Mathematical Biosciences Institute
Inhaltsverzeichnis
Introduction.- Branching Processes.- Convergence to a Continuous State Branching Process.- Continuous State Branching Process (CSBP).- Genealogies.- Models of Finite Population with Interaction.- Convergence to a Continuous State Model.- Continuous Model with Interaction.- Appendix.
Details
Erscheinungsjahr: | 2016 |
---|---|
Fachbereich: | Allgemeines |
Genre: | Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Reihe: | Stochastics in Biological Systems |
Inhalt: |
viii
125 S. 4 s/w Illustr. 2 farbige Illustr. 125 p. 6 illus. 2 illus. in color. |
ISBN-13: | 9783319303260 |
ISBN-10: | 3319303260 |
Sprache: | Englisch |
Herstellernummer: | 978-3-319-30326-0 |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Autor: | Pardoux, Étienne |
Auflage: | 1st ed. 2016 |
Hersteller: |
Springer Nature Switzerland
Springer International Publishing Springer International Publishing AG Stochastics in Biological Systems |
Maße: | 235 x 155 x 8 mm |
Von/Mit: | Étienne Pardoux |
Erscheinungsdatum: | 27.06.2016 |
Gewicht: | 0,243 kg |
Warnhinweis