Modulational instability in a quasi-one-dimensional Bose-Einstein condensates

Sherzod R. Otajonov, Bakhram A. Umarov, Fatkhulla Kh. Abdullaev
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Abstract

In this work, we investigate the modulational instability of plane wave solutions within a modified Gross-Pitaevskii equation framework. The equation features cubic and quartic nonlinearity. It models the behaviour of quasi-one-dimensional Bose-Einstein condensates in symmetric Bose-Bose mixtures of ultra-dilute cold atoms. Our study demonstrates the pivotal role of the competition between mean-field attractions and quantum fluctuation-induced repulsions. This competition significantly affects the emergence and evolution of modulational instability. By employing linear stability analysis, we identify the essential conditions that lead to modulational instability. We find that the stability of plane wave solutions significantly depends on the interaction among system parameters. Further development of the instability leads to the fragmentation of the BEC into a chain of quantum droplets. We calculated the quantity of quantum droplets generated during the nonlinear phase of the instability. Our analytical results are corroborated by numerical simulations of the modified quasi-1D Gross-Pitaevskii equation. These simulations vividly depict the formation, interaction, and coalescence of droplets during the nonlinear phase of modulational instability. The investigation shows that linear stability analysis of the modified Gross-Pitaevskii equation, considering quantum fluctuations, precisely forecasts modulational instability phenomena across different domains of parameter spaces.
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准一维玻色-爱因斯坦凝聚体中的调制不稳定性
在这项工作中,我们在改进的格罗斯-皮塔耶夫斯基方程框架内研究了平面波解的调制不稳定性。该方程具有三次和四次非线性。它模拟了超稀释冷原子对称玻色-玻色混合物中的类一维玻色-爱因斯坦凝聚态的行为。我们的研究证明了平均场吸引力和量子波动诱发的反冲之间的竞争所起的关键作用。这种竞争极大地影响了调制不稳定性的出现和演化。通过线性稳定性分析,我们确定了导致调制不稳定性的基本条件。我们发现平面波解的稳定性在很大程度上取决于系统参数之间的相互作用。不稳定性的进一步发展导致 BEC 分裂为量子液滴链。我们计算了不稳定性非线性阶段产生的量子液滴数量。我们的分析结果得到了修正的准一维格罗斯-皮塔耶夫斯基方程数值模拟的证实。模拟生动地描绘了调制不稳定性非线性阶段液滴的形成、相互作用和凝聚过程。研究表明,考虑量子波动的修正格罗斯-皮塔耶夫斯基方程的线性稳定性分析可以精确预测不同参数空间域的调制不稳定性现象。
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