“…The results could be used both for the three-dimensional Kermack-McKendrick model and for further generalizations. A similar study for Lotka-Volterra systems was carried out by Ionescu and Munteanu in [1], [2].…”
Section: Introductionmentioning
confidence: 91%
“…This analysis is based on the application of various notions from the theory of dynamical systems to the numerical approximation of initial value problems over long time intervals. There is a strong interplay between the theory and the computational analysis of dynamical systems ( [1], [16], [17], [18], [19], [20]). In [1], [2], [21] a study of the Lotka-Volterra equations by geometrical tools was carried out, using the Hamilton-Poisson structures of this system of ordinary differential equations.…”
Using the feedback linearization method, a state feedback control for the two-dimensional Kermack-McKendrick model for the spread of epidemics is obtained. This form of the dynamical system is suitable to carry out a qualitative analysis of the model. An optimal control problem for a stochastic version of the model is also set up and solved explicitly in a particular instance.
“…The results could be used both for the three-dimensional Kermack-McKendrick model and for further generalizations. A similar study for Lotka-Volterra systems was carried out by Ionescu and Munteanu in [1], [2].…”
Section: Introductionmentioning
confidence: 91%
“…This analysis is based on the application of various notions from the theory of dynamical systems to the numerical approximation of initial value problems over long time intervals. There is a strong interplay between the theory and the computational analysis of dynamical systems ( [1], [16], [17], [18], [19], [20]). In [1], [2], [21] a study of the Lotka-Volterra equations by geometrical tools was carried out, using the Hamilton-Poisson structures of this system of ordinary differential equations.…”
Using the feedback linearization method, a state feedback control for the two-dimensional Kermack-McKendrick model for the spread of epidemics is obtained. This form of the dynamical system is suitable to carry out a qualitative analysis of the model. An optimal control problem for a stochastic version of the model is also set up and solved explicitly in a particular instance.
“…Mathematical epidemic dynamics modeling can undoubtedly benefit largely from this accumulated expertise! In summary, it is therefore believed that first translating epidemic dynamics models into an analytical mechanics setting (related steps towards this aim may be found, e.g., in [Militaru and Munteanu 2013;Ionescu et al 2015;Seroussi et al 2019]) and then, secondly, exploiting the analogy between the two approaches while utilizing the full toolset of mechanical modeling can provide novel vistas and unprecedented opportunities. The present contribution aims to sketch out a few of these perspectives and to encourage the mechanics community to offer its strong modeling expertise to possibly and hopefully help further improve epidemic dynamics modeling.…”
“…We consider the 3D LVS (3) on the interval [0, 100], with the parameter values (a, b, c, λ, µ, ν) = (−1, −1, −1, 0, 1, −1) [21]. The initial condition is taken as (u 1 (0), u 2 (0), u 3 (0)) T = (1, 1.9, 0.5) T .…”
Section: Bi-hamiltonian Lvsmentioning
confidence: 99%
“…They can be written as Poisson systems in bi-Hamiltonian form [17] and Nambu systems [18]. Many numerical methods are applied to LVSs which preserve the integrals, periodic solution, attractors and son on [6,19,20,21,22,23].…”
In this paper we apply Kahan's nonstandard discretization to three dimensional Lotka-Volterra equations in bi-Hamiltonian form. The periodicity of the solutions and all polynomial and non-polynomial invariants are well preserved in long-term integration. Applying classical deferred correction method, we show that the invariants are preserved with increasing accuracy as a results of more accurate numerical solutions. Substantial speedups over the Kahan's method are achieved at each run with deferred correction method.
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