Mathematical structures of ergodicity and chaos in population dynamics /

This book concerns issues related to biomathematics, medicine, or cybernetics as practiced by engineers. Considered population dynamics models are still in the interest of researchers, and even this interest is increasing, especially now in the time of SARS-CoV-2 coronavirus pandemic, when models ar...

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Bibliographic Details
Author / Creator:Mitkowski, PaweĊ‚ J.
Imprint:Cham, Switzerland : Springer, [2021].
Description:1 online resource
Language:English
Series:Studies in systems, decision and control ; v. 312
Studies in systems, decision and control ; v. 312.
Subject:Ergodic theory.
Chaotic behavior in systems.
Population -- Mathematical models.
Biomathematics.
Maths for engineers.
Mathematical modelling.
Biomedical engineering.
Computer science.
Technology & Engineering -- Engineering (General).
Mathematics -- Applied.
Technology & Engineering -- Biomedical.
Computers -- Computer Science.
Biomathematics.
Chaotic behavior in systems.
Ergodic theory.
Population -- Mathematical models.
Electronic books.
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12607785
Hidden Bibliographic Details
ISBN:9783030576783
3030576787
3030576779
9783030576776
Notes:Includes bibliographical references.
Summary:This book concerns issues related to biomathematics, medicine, or cybernetics as practiced by engineers. Considered population dynamics models are still in the interest of researchers, and even this interest is increasing, especially now in the time of SARS-CoV-2 coronavirus pandemic, when models are intensively studied in order to help predict its behaviour within human population. The structures of population dynamics models and practical methods of finding their solutions are discussed. Finally, the hypothesis of the existence of non-trivial ergodic properties of the model of erythropoietic response dynamics formulated by A. Lasota in the form of delay differential equation with unimodal feedback is analysed. The research can be compared with actual medical data, as well as shows that the structures of population models can reflect the dynamic structures of reality.
Other form:Original 3030576779 9783030576776
Standard no.:10.1007/978-3-030-57678-3
10.1007/978-3-030-57