We present the asymptotic transitions from microscopic to macroscopic physics, their computational challenges and the Asymptotic-Preserving (AP) strategies to efficiently compute multiscale physical problems. Specifically, we will first study the asymptotic transition from quantum to classical mechanics, from classical mechanics to kinetic theory, and then from kinetic theory to hydrodynamics. We then review some representative AP schemes that mimic, at the discrete level, these asymptotic transitions, hence can be used crossing scales and, in particular, capture the macroscopic behavior without resolving numerically the microscopic physical scale.
翻译:我们展示了从微观到宏观物理学的无症状转变、它们的计算挑战以及有效计算多尺度物理问题的Asympt-Preserve(AP)战略。具体地说,我们将首先研究从量子到古典机械的无症状过渡,从古典机械到动能理论的无症状过渡,然后从动能理论到流体动力学的无症状过渡。然后我们审查一些具有代表性的AP计划,这些计划在离散层面模仿这些无症状转变,因此可以使用跨尺度,特别是捕捉宏观行为,而不会用数字方法解决微观物理尺度。