2020
DOI: 10.3390/ma13102236
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Dynamics of Bose–Einstein Condensates Subject to the Pöschl–Teller Potential through Numerical and Variational Solutions of the Gross–Pitaevskii Equation

Abstract: We present for the first time an approach about Bose–Einstein condensates made up of atoms with attractive interatomic interactions confined to the Pöschl–Teller hyperbolic potential. In this paper, we consider a Bose–Einstein condensate confined in a cigar-shaped, and it was modeled by the mean field equation known as the Gross–Pitaevskii equation. An analytical (variational method) and numerical (two-step Crank–Nicolson) approach is proposed to study the proposed model of interatomic interaction. The solutio… Show more

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Cited by 3 publications
(3 citation statements)
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“…We can obtain the evolution of classical observables, and also determine the spreading ∆(x 2 ), ∆(p 2 ) of the initial wave function (11), just as in [17]. Actually, this can be extended to more general interactions driven by different trapping potentials.…”
Section: General Variance ρ Effective Potentialmentioning
confidence: 99%
“…We can obtain the evolution of classical observables, and also determine the spreading ∆(x 2 ), ∆(p 2 ) of the initial wave function (11), just as in [17]. Actually, this can be extended to more general interactions driven by different trapping potentials.…”
Section: General Variance ρ Effective Potentialmentioning
confidence: 99%
“…In the absence of contact interactions and DDI, infrared-divergent components are exactly eliminated in the Hartree-Fock-Bogoliubov (HFB) shift of the single particle excitation energy [34]. In addition to dipolar and coulomb interactions, another long-range potential called PT interactions between atoms has been studied [35][36][37][38].…”
Section: Introductionmentioning
confidence: 99%
“…We will use EGP, within the scope of mean field theory, to describe the BEC of magnons. In order to solve the GPE, we will use two distinct approaches: an analytical approach (variational method) [ 13 , 14 ] and a numerical approach (split-step Crank-Nicolson method) [ 14 , 15 ].…”
Section: Introductionmentioning
confidence: 99%