Large deviations in statistics of the convex hull of passive and active particles: A theoretical study
arXiv:2311.08193 · doi:10.1103/PhysRevE.109.044120
Abstract
We investigate analytically the distribution tails of the area A and perimeter L of a convex hull for different types of planar random walks. For N noninteracting Brownian motions of duration T we find that the large-L and A tails behave as and , while the small- and tails behave as and , where is the diffusion coefficient. We calculated all of the coefficients () exactly. Strikingly, we find that and are independent of N, for and , respectively. We find that the large-L (A) tails are dominated by a single, most probable realization that attains the desired L (A). The left tails are dominated by the survival probability of the particles inside a circle of appropriate size. For active particles and at long times, we find that large-L and A tails are given by and respectively. We calculate the large deviation functions exactly and find that they exhibit multiple singularities. We interpret these as dynamical phase transitions of first order. We extended several of these results to dimensions . Our analytic predictions display excellent agreement with existing results that were obtained from extensive numerical simulations.
15 pages, 9 figures
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