Stochastic Gross-Pitaevsky equation for BEC via coarse-grained effective action

We sketch the major steps in a functional integral derivation of a new set of stochastic Gross-Pitaevsky equations (GPE) for a Bose-Einstein condensate (BEC) confined to a trap at zero temperature with the averaged effects of non-condensate modes incorporated as stochastic sources. The closed-time-p...

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Autores principales: Calzetta, E., Hu, B.L., Verdaguer, E.
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_02179792_v21_n23-24_p4239_Calzetta
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spelling todo:paper_02179792_v21_n23-24_p4239_Calzetta2023-10-03T15:10:40Z Stochastic Gross-Pitaevsky equation for BEC via coarse-grained effective action Calzetta, E. Hu, B.L. Verdaguer, E. Bose-Einstein condensates Stochastic Gross-Pitaievsky equation We sketch the major steps in a functional integral derivation of a new set of stochastic Gross-Pitaevsky equations (GPE) for a Bose-Einstein condensate (BEC) confined to a trap at zero temperature with the averaged effects of non-condensate modes incorporated as stochastic sources. The closed-time-path (CTP) coarse-grained effective action (CGEA) or the equivalent influence functional method is particularly suitable because it can account for the full back-reaction of the noncondensate modes on the condensate dynamics self-consistently. The Langevin equations derived here containing nonlocal dissipation together with colored and multiplicative noises are useful for a stochastic (as distinguished from a kinetic) description of the nonequilibrium dynamics of a BEC. This short paper contains original research results not yet published anywhere. © World Scientific Publishing Company. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_02179792_v21_n23-24_p4239_Calzetta
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Bose-Einstein condensates
Stochastic Gross-Pitaievsky equation
spellingShingle Bose-Einstein condensates
Stochastic Gross-Pitaievsky equation
Calzetta, E.
Hu, B.L.
Verdaguer, E.
Stochastic Gross-Pitaevsky equation for BEC via coarse-grained effective action
topic_facet Bose-Einstein condensates
Stochastic Gross-Pitaievsky equation
description We sketch the major steps in a functional integral derivation of a new set of stochastic Gross-Pitaevsky equations (GPE) for a Bose-Einstein condensate (BEC) confined to a trap at zero temperature with the averaged effects of non-condensate modes incorporated as stochastic sources. The closed-time-path (CTP) coarse-grained effective action (CGEA) or the equivalent influence functional method is particularly suitable because it can account for the full back-reaction of the noncondensate modes on the condensate dynamics self-consistently. The Langevin equations derived here containing nonlocal dissipation together with colored and multiplicative noises are useful for a stochastic (as distinguished from a kinetic) description of the nonequilibrium dynamics of a BEC. This short paper contains original research results not yet published anywhere. © World Scientific Publishing Company.
format JOUR
author Calzetta, E.
Hu, B.L.
Verdaguer, E.
author_facet Calzetta, E.
Hu, B.L.
Verdaguer, E.
author_sort Calzetta, E.
title Stochastic Gross-Pitaevsky equation for BEC via coarse-grained effective action
title_short Stochastic Gross-Pitaevsky equation for BEC via coarse-grained effective action
title_full Stochastic Gross-Pitaevsky equation for BEC via coarse-grained effective action
title_fullStr Stochastic Gross-Pitaevsky equation for BEC via coarse-grained effective action
title_full_unstemmed Stochastic Gross-Pitaevsky equation for BEC via coarse-grained effective action
title_sort stochastic gross-pitaevsky equation for bec via coarse-grained effective action
url http://hdl.handle.net/20.500.12110/paper_02179792_v21_n23-24_p4239_Calzetta
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AT verdaguere stochasticgrosspitaevskyequationforbecviacoarsegrainedeffectiveaction
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