arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1407.6887physics.bio-phcond-mat.stat-mechq-bio.PE
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鸟群中的短程相互作用与长程相关

Short-range interaction vs long-range correlation in bird flocks

Andrea Cavagna, Lorenzo Del Castello, Supravat Dey, Irene Giardina, Stefania Melillo, Leonardo Parisi, Massimiliano Viale

摘要:

鸟群是集体运动的典型例子。关于群体的一个突出的实验特征是个体之间存在长距离的速度相关性,这使得它们能够在大规模上相互影响,保持高水平的群体协调。一个至关重要的问题是要了解鸟类之间的相互作用是什么产生了如此重要的相关性。在这里,我们使用最大熵(ME)的方法来推断从实验数据的自然羊群之间的有效相互作用的鸟类。与以前的研究相比,我们向前迈出了重要的一步,因为我们检索了相互作用对距离的全部功能依赖性,并发现它在几个人的范围内呈指数衰减。ME给出了一个短程相互作用的事实,即使它的实验输入是长程关联函数,表明该方法能够区分编码在这种相关性的相关信息,并挑选出最小数量的有效参数。最后,我们展示了如何使用该方法来捕获相互作用的各向异性程度。

英文摘要:

Bird flocks are a paradigmatic example of collective motion. One of the prominent experimental traits discovered about flocks is the presence of long range velocity correlations between individuals, which allow them to influence each other over the large scales, keeping a high level of group coordination. A crucial question is to understand what is the mutual interaction between birds generating such nontrivial correlations. Here we use the Maximum Entropy (ME) approach to infer from experimental data of natural flocks the effective interactions between birds. Compared to previous studies, we make a significant step forward as we retrieve the full functional dependence of the interaction on distance and find that it decays exponentially over a range of a few individuals. The fact that ME gives a short-range interaction even though its experimental input is the long-range correlation function, shows that the method is able to discriminate the relevant information encoded in such correlations and single out a minimal number of effective parameters. Finally, we show how the method can be used to capture the degree of anisotropy of mutual interactions.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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