Integrability properties and invariant solutions of some biological models

Amiri Babaei N., Gün Polat G., Özer T.

Mathematical Methods in the Applied Sciences, cilt.47, sa.5, ss.3631-3650, 2024 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 47 Sayı: 5
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1002/mma.9060
  • Dergi Adı: Mathematical Methods in the Applied Sciences
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Applied Science & Technology Source, Communication Abstracts, Compendex, INSPEC, MathSciNet, Metadex, zbMATH, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.3631-3650
  • Anahtar Kelimeler: artificial Hamiltonian, biological models, epidemic models, first integrals, Integrability, Lie point symmetries, partial Hamiltonian
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

© 2023 John Wiley & Sons, Ltd.In this research, we deal with the biological population-related models called two-dimensional Easter Island, Verhulst, and Lotka–Volterra and four-dimensional MSEIR (M: Population, S: Suspected, E: Under Supervision, I: Infectious, R: Recovered) and SIRD (S: Suspected, I: Infectious, R: Recovered, D: Death) models by applying the artificial Hamiltonian method constructed for dynamical systems involving ordinary differential equations (ODEs) known as a partial Hamiltonian or nonstandard Hamiltonian system in the literature. This novel approach enables the investigation of the exact closed-form solutions to dynamical systems of first-order and second-order ODEs that can be written as a nonstandard Hamiltonian system by utilizing common methods feasible to the nonstandard Hamiltonian systems. The first integrals and associated invariant solutions of the aforementioned biological and population models for some cases under the constraint of system parameters via the artificial Hamiltonian method for not only two-dimensional but also four-dimensional nonlinear dynamical systems are considered. Additionally, graphs of all population fractions for the SIRD model that show how they change over time for the subcase are presented and discussed.