Integrability properties and invariant solutions of some biological models

Abstract

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.

Editorial of the special issue on modelling, analysis, and applications

“…Stochastic models appear in the scope of HIV/AIDS with treatment protocols [12] and Lotka-Volterra equations with distributed delay and dispersal [13]. The artificial Hamiltonian method, also known as partial Hamiltonian or nonstandard Hamiltonian system, is used to analyze biological population models, namely, the Easter Island, Verhulst, Lotka-Volterra, and four-dimensional SEIR and SIRD models, in [14]. The 2D-fractional Volterra integral equations of second type are the focus of a research issue, in which Bernstein-Kantorovivh operators are analyzed and numerically applied to approximate their solution [15].…”