Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/21461
Title: Stochastic persistence
Authors: Basu, Arnab 
Keywords: Stochastic persistence;Stochastic process
Issue Date: 3-Dec-2013
Publisher: Indian Institute of Management Bangalore
Project: Stochastic persistence 
Series/Report no.: IIMB_PR_2013-14_017
Abstract: A fundamental issue in mathematical ecology and population biology is to estimate the minimal conditions that ensure the long-term survival of the interacting species in the system whether they be bio-chemicals, animals, plants or even micro-organisms like viruses (see, e.g., Lotka [6], Volterra [7], Taylor and Jonker [8]). When such conditions are satisfied, the interacting populations are said to persist or coexist. A similar question, in mathematical models of epidemics, is to understand whether or not a population will survive or be erased by a disease (see, e.g., Kermack and McKendrick [9]). Traditionally, to analyze these types of questions, the interactions between the species have been modelled by nonlinear systems of differential and difference equations which led to the development of what is now known as the mathematical theory of persistence of dynamical systems.
URI: https://repository.iimb.ac.in/handle/2074/21461
Appears in Collections:2013-2014

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