On quadratic stochastic processes and related differential equations

It is known that the theory of Markov process is a rapidly developing field with numerous applications to many branches of mathematics and physics, biology and so on. But there are some physical models which cannot be described by such processes. One of such models is related to population genetic...

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Bibliographic Details
Main Authors: Mukhamedov, Farrukh, Supar, Nurul Akma, Pah, Chin Hee
Format: Article
Language:English
Published: Institute of Physics Publishing (UK) 2013
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Online Access:http://irep.iium.edu.my/30079/1/mfaspch-JPCS%282013%29.pdf
http://irep.iium.edu.my/30079/
http://dx.doi.org/10.1088/1742-6596/435/1/012013
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Summary:It is known that the theory of Markov process is a rapidly developing field with numerous applications to many branches of mathematics and physics, biology and so on. But there are some physical models which cannot be described by such processes. One of such models is related to population genetics. These processes are called quadratic stochastic processes (q.s.p.). In this theory it is important to construct nontrivial examples of such processes. In the present paper we are going to provide a construction of q.s.p. by means of two given processes. We should stress that such a construction allows us to produce lots of nontrivial examples of q.s.o. We also associate to given q.s.p. two kind of processes. Note that one of such processes is Markov. It is proved that such kind of processes uniquely define q.s.p. Moreover, we also derive some differential equations for q.s.p.