Mean Trajectories of Multiple Tracking Points on A Brownian Rigid Body: Convergence, Alignment and Twist
Jianping Xu

TL;DR
This paper investigates the mean trajectories of multiple points on a Brownian rigid body under various forces, revealing regimes of convergence, alignment, and twist, and how these behaviors change with dimensionality.
Contribution
It introduces a framework to analyze mean trajectories of tracking points on Brownian rigid bodies, highlighting regime transitions and effects of dimensionality.
Findings
Mean trajectories can converge, align, or twist depending on forces and body properties.
In 3D, only convergence persists, while alignment and twist disappear.
Rigid body behavior transitions between regimes, affecting Brownian motion characteristics.
Abstract
We consider mean trajectories of multiple tracking points on a rigid body that conducts Brownian motion in the absence and presence of an external force field. Based on a na\"{\i}ve representation of rigid body - polygon and polyhedron where hydrodynamic interactions are neglected, we study the Langevin dynamics of these Brownian polygons and polyhedra. Constant force, harmonic force and an exponentially decaying force are investigated as examples. In two dimensional space, depending on the magnitude and form of the external force and the isotropy and anisotropy of the body, mean trajectories of these tracking points can exhibit three regimes of interactions: convergence, where the mean trajectories converge to either a point or a single trajectory; alignment, where the mean trajectories juxtapose in parallel; twist, where the mean trajectories twist and intertwine, forming a plait…
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Taxonomy
TopicsDiffusion and Search Dynamics · Ecosystem dynamics and resilience · Statistical Mechanics and Entropy
