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Periodic Solutions of First-Order Functional Differential Equations in Population Dynamics / by Seshadev Padhi, John R. Graef, P. D. N. Srinivasu

1st ed. 2014.
出版者 (New Delhi : Springer India : Imprint: Springer)
出版年 2014
大きさ XIV, 144 p. 8 illus : online resource
著者標目 *Padhi, Seshadev author
Graef, John R author
Srinivasu, P. D. N author
SpringerLink (Online service)
件 名 LCSH:Differential equations
LCSH:Mathematical analysis
LCSH:Biomathematics
LCSH:Integral equations
FREE:Differential Equations
FREE:Analysis
FREE:Mathematical and Computational Biology
FREE:Integral Equations
一般注記 Chapter 1. Introduction -- Chapter 2. Positive Periodic Solutions of Nonlinear Functional Differential Equations with Parameter λ -- Chapter 3. Multiple Periodic Solutions of a System of Functional Differential Equations -- Chapter 4. Multiple Periodic Solutions of Nonlinear Functional Differential Equations -- Chapter 5. Asymptotic Behavior of Periodic Solutions of Differential Equations of First Order -- Bibliography
This book provides cutting-edge results on the existence of multiple positive periodic solutions of first-order functional differential equations. It demonstrates how the Leggett-Williams fixed-point theorem can be applied to study the existence of two or three positive periodic solutions of functional differential equations with real-world applications, particularly with regard to the Lasota-Wazewska model, the Hematopoiesis model, the Nicholsons Blowflies model, and some models with Allee effects. Many interesting sufficient conditions are given for the dynamics that include nonlinear characteristics exhibited by population models. The last chapter provides results related to the global appeal of solutions to the models considered in the earlier chapters. The techniques used in this book can be easily understood by anyone with a basic knowledge of analysis. This book offers a valuable reference guide for students and researchers in the field of differential equations with applications to biology, ecology, and the environment
HTTP:URL=https://doi.org/10.1007/978-81-322-1895-1
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Springer eBooks 9788132218951
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EB00205719

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データ種別 電子ブック
分 類 LCC:QA370-380
DC23:515.35
書誌ID 4000119738
ISBN 9788132218951

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