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The Influence Of Demographic Stochasticity On Population Dynamics A Mathematical Study Of Noiseinduced Bistable States And Stochastic Patterns 1st Edition Tommaso Biancalani Auth

  • SKU: BELL-4697404
The Influence Of Demographic Stochasticity On Population Dynamics A Mathematical Study Of Noiseinduced Bistable States And Stochastic Patterns 1st Edition Tommaso Biancalani Auth
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The Influence Of Demographic Stochasticity On Population Dynamics A Mathematical Study Of Noiseinduced Bistable States And Stochastic Patterns 1st Edition Tommaso Biancalani Auth instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 3.97 MB
Pages: 113
Author: Tommaso Biancalani (auth.)
ISBN: 9783319077277, 9783319077284, 3319077279, 3319077287
Language: English
Year: 2014
Edition: 1

Product desciption

The Influence Of Demographic Stochasticity On Population Dynamics A Mathematical Study Of Noiseinduced Bistable States And Stochastic Patterns 1st Edition Tommaso Biancalani Auth by Tommaso Biancalani (auth.) 9783319077277, 9783319077284, 3319077279, 3319077287 instant download after payment.

The dynamics of population systems cannot be understood within the framework of ordinary differential equations, which assume that the number of interacting agents is infinite. With recent advances in ecology, biochemistry and genetics it is becoming increasingly clear that real systems are in fact subject to a great deal of noise. Relevant examples include social insects competing for resources, molecules undergoing chemical reactions in a cell and a pool of genomes subject to evolution. When the population size is small, novel macroscopic phenomena can arise, which can be analyzed using the theory of stochastic processes. This thesis is centered on two unsolved problems in population dynamics: the symmetry breaking observed in foraging populations and the robustness of spatial patterns. We argue that these problems can be resolved with the help of two novel concepts: noise-induced bistable states and stochastic patterns.

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