Random Evolutionary Systems: Asymptotic Properties and Large Deviations

Within the field of modeling complex objects in natural sciences, which considers systems that consist of a large number of interacting parts, a good tool for analyzing and fitting models is the theory of random evolutionary systems, considering their asymptotic properties and large deviations. In R...

Full description

Saved in:
Bibliographic Details
Main Authors: Koroliouk, Dmitri (Author), Samoilenko, Igor (Author)
Format: Electronic eBook
Language:English
Published: London Wiley-ISTE 2021
Edition:1st edition.
Subjects:
Links:https://learning.oreilly.com/library/view/-/9781786307521/?ar
Summary:Within the field of modeling complex objects in natural sciences, which considers systems that consist of a large number of interacting parts, a good tool for analyzing and fitting models is the theory of random evolutionary systems, considering their asymptotic properties and large deviations. In Random Evolutionary Systems we consider these systems in terms of the operators that appear in the schemes of their diffusion and the Poisson approximation. Such an approach allows us to obtain a number of limit theorems and asymptotic expansions of processes that model complex stochastic systems, both those that are autonomous and those dependent on an external random environment. In this case, various possibilities of scaling processes and their time parameters are used to obtain different limit results.
Physical Description:1 Online-Ressource
ISBN:9781119851240
1119851246
9781786307521