We adopt an operatorial method, based on truncated bosons, to describe the dynamics of populations in a closed region with a non trivial topology. The main operator that includes the various mechanisms and interactions between the populations is the Hamiltonian, constructed with the density and transport operators. The whole evolution is derived from the Schrödinger equation, and the densities of the populations are retrieved from the normalized expected values of the density operators. We show that this approach is suitable for applications in very large domain, solving the computational issues that typically occur when using an Hamiltonian based on fermionic ladder operators.

Gargano F. (2021). Population dynamics based on ladder bosonic operators. APPLIED MATHEMATICAL MODELLING, 96, 39-52 [10.1016/j.apm.2021.02.013].

Population dynamics based on ladder bosonic operators

Gargano F.
Primo
2021-01-01

Abstract

We adopt an operatorial method, based on truncated bosons, to describe the dynamics of populations in a closed region with a non trivial topology. The main operator that includes the various mechanisms and interactions between the populations is the Hamiltonian, constructed with the density and transport operators. The whole evolution is derived from the Schrödinger equation, and the densities of the populations are retrieved from the normalized expected values of the density operators. We show that this approach is suitable for applications in very large domain, solving the computational issues that typically occur when using an Hamiltonian based on fermionic ladder operators.
2021
Gargano F. (2021). Population dynamics based on ladder bosonic operators. APPLIED MATHEMATICAL MODELLING, 96, 39-52 [10.1016/j.apm.2021.02.013].
File in questo prodotto:
File Dimensione Formato  
2021_applmathmod.pdf

Solo gestori archvio

Tipologia: Versione Editoriale
Dimensione 2.47 MB
Formato Adobe PDF
2.47 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
paperg.pdf

accesso aperto

Tipologia: Pre-print
Dimensione 4.27 MB
Formato Adobe PDF
4.27 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/523479
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 6
  • ???jsp.display-item.citation.isi??? 2
social impact