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arXiv 2107.02017physics.plasm-phnlin.CD
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多尺度湍流中的混沌扩散

Chaotic diffusion in multi-scale turbulence

Yueheng Huang, Nong Xiang, Jiale Chen, Zong Xu

AI总结:

本研究提出多波数映射框架,分析多尺度湍流中波粒共振驱动的混沌扩散,发现大尺度分量主导偏离准线性理论,且小尺度分量增多时趋于准线性预测。

摘要:

本研究探讨了由非线性波-粒子共振耦合驱动的多尺度湍流中的混沌扩散。当不同尺度上具有特征波长的湍流波的相速度与带电粒子的速度匹配时,它们会与带电粒子相干相互作用。我们开发了一个多波数映射框架来模拟多尺度湍流下的混沌输运。通过解析推导速度相关函数,我们在跨尺度波强度均等的条件下量化了扩散系数。一项关键分析表明,较小尺度上的混沌动力学不足以完全消除由大尺度湍流分量建立的相空间相关性。最大尺度的湍流分量主导了对准线性(QL)理论预测的偏差,从而在混沌输运中建立了尺度依赖的层级结构。仅减小小尺度分量的波间相速度间隔,无法在多尺度湍流中在有限波幅下恢复QL扩散。将较大尺度分量纳入由小尺度驱动的强混沌系统中,可以诱发非QL扩散。具体而言,对于双尺度湍流,QL近似系统性地低估了输运。增加具有强重叠参数的小尺度分量的数量,会驱动结果向QL近似收敛。该框架为分析实验室和天体物理等离子体中的共振驱动湍流提供了一种方法论。

英文摘要:

This study investigates chaotic diffusion in multi-scale turbulence driven by nonlinear wave-particle resonance coupling. Turbulent waves with distinct characteristic wavelengths across scales coherently interact with charged particles when their phase velocities match the particles' velocities. A multi-wavenumber mapping framework is developed to model chaotic transport under multi-scale turbulence. By analytically deriving velocity correlation functions, we quantify the diffusion coefficient under conditions of cross-scale wave intensity parity. A critical analysis reveals that chaotic dynamics at smaller scales prove insufficient to completely erase phase-space correlations established by large-scale turbulent components. The largest-scale turbulence components dominate deviations from quasi-linear (QL) theory predictions, establishing a scale-dependent hierarchy in chaotic transport. Mere reduction of inter-wave phase velocity spacing for small-scale components cannot recover QL diffusion at finite wave amplitudes in multi-scale turbulence. Incorporating a larger-scale component into a small-scale-driven strong chaotic system can induce non-QL diffusion. Specifically, for two-scale turbulence, the QL approximation systematically underestimates transport. Increasing the number of smaller-scale components with strong overlap parameters drives convergence toward the QL approximation. This framework provides a methodology for analyzing resonance-driven turbulence in laboratory and astrophysical plasmas.

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