Exact solutions and superposition rules for Hamiltonian systems generalizing time-dependent SIS epidemic models with stochastic fluctuations

Using the theory of Lie-Hamilton systems, formal generalized time-dependent Hamiltonian systems that extend a recently proposed SIS epidemic model with a variable infection rate are considered. It is shown that, independently on the particular interpretation of the time-dependent coefficients, these...

Descripción completa

Detalles Bibliográficos
Autores: Campoamor Stursberg, Otto-Rudwig, Fernández Saiz, Eduardo, Herranz, Francisco J.
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/87613
Acceso en línea:https://hdl.handle.net/20.500.14352/87613
Access Level:acceso abierto
Palabra clave:512.64
Lie systems
Lie-Hamilton systems
Nonlinear differential equations
Nonlinear superposition rules
SIS models
Exact solutions
Álgebra
1201.10 Álgebra Lineal
1201.09 Álgebra de Lie
Descripción
Sumario:Using the theory of Lie-Hamilton systems, formal generalized time-dependent Hamiltonian systems that extend a recently proposed SIS epidemic model with a variable infection rate are considered. It is shown that, independently on the particular interpretation of the time-dependent coefficients, these systems generally admit an exact solution, up to the case of the maximal extension within the classification of Lie-Hamilton systems, for which a superposition rule is constructed. The method provides the algebraic frame to which any SIS epidemic model that preserves the above-mentioned properties is subjected. In particular, we obtain exact solutions for generalized SIS Hamiltonian models based on the book and oscillator algebras, denoted by and, respectively. The last generalization corresponds to an SIS system possessing the so-called two-photon algebra symmetry , according to the embedding chain, for which an exact solution cannot generally be found but a nonlinear superposition rule is explicitly given.