超临界静态非线性施罗丁格方程中的瞬间,波动和奇点
Sumeja Bureković1, Tobias Schäfer2,3, Rainer Grauer1
1Institute for Theoretical Physics I, <a href="https://ror.org/04tsk2644">Ruhr University Bochum</a>, Universitätsstrasse 150, D-44801 Bochum, Germany.
Physical review letters
|August 30, 2024
概括
极端波动显著影响流统计数据,特别是能量消耗率. 包括高斯波动和零模式,即时微积分准确预测流体动力学中的近似单一事件.
科学领域:
- 流体动力学 流体动力学
- 统计力学就是统计力学.
- 流理论是关于流的.
背景情况:
- 最近提出了一个关于流的随机非线性施罗丁格模型.
- 了解流系统中的极端波动至关重要.
研究的目的:
- 量化极端波动对能量消耗率统计数据的影响.
- 通过直接模拟来验证理论模型.
主要方法:
- 瞬间微积分被用来分析极端波动.
- 斯波动和零模式被纳入模型.
- 直接的数值模拟用于比较.
主要成果:
- 仅凭即时贡献不足以解释这些统计数据.
- 当包括高斯波动和零模式时,与直接模拟达成了很好的一致性.
- 几乎单一的事件被确定为流统计的关键驱动因素.
结论:
- 波动对于准确建模流,特别是能量消散速度至关重要.
- 改进后的模型提供了更准确的描述,描述由近似单一事件控制的流.
- 这项工作强调了极端事件在流体流中的重要性.
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