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arXiv 2601.02027cond-mat.stat-mech
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Barycentric Bak-Sneppen模型中适应度波动与相关时间标度

Fitness Fluctuations and Correlation Time Scaling in the Barycentric Bak-Sneppen Model

Aligarh Muslim University(阿利加尔穆斯林大学)

Abdul Quadir, Haider Hasan Jafri

AI总结:

研究Barycentric Bak-Sneppen模型中适应度波动与相关时间标度,揭示长程相关性及覆盖时间的幂律特性。

摘要:

我们考虑了Bak-Sneppen模型的barycentric版本,这是一个一维自组织临界模型,用于描述广义的凯恩斯美杜莎竞赛,具有局部相互作用规则。我们数值研究了适应度变量的功率谱密度和相关时间。通过数据崩溃分析两个变量,我们估计了临界指数。对于全局和局部适应度变量,功率谱密度表现出1/f^α(0<α<2),表明存在长程相关性。我们还研究了覆盖时间,定义为在barycentric BS模型的临界状态下,整个系统中物种灭绝或突变所需的时间。利用有限尺寸标度和极值理论,我们分析了覆盖时间的统计特性。我们的结果表明,均值、方差、众数和峰值概率与系统大小呈幂律标度。此外,累积概率分布表现出数据崩溃,相关的标度函数由广义极值密度很好地描述,近似符合Gumbel族。

英文摘要:

We consider the barycentric version of the Bak-Sneppen model, a one-dimensional self-organized critical model that describes generalized Keynesian beauty contests with a local interaction rule. We numerically investigate the power spectral density of the fitness variable and correlation time. Through data collapse for both variables, we estimate the critical exponents. For global and local fitness variables, the power spectral density exhibits $1/f^α$ with $0< α< 2$, indicative of long-range correlations. We also investigate the cover time, defined as the duration required for the extinction or mutation of species across the entire system in the critical state of the barycentric BS model. Using finite-size scaling and extreme value theory, we analyze the statistical properties of the cover time. Our results show power-law scaling with system size for the mean, variance, mode, and peak probability. Furthermore, the cumulative probability distribution exhibits data collapse, and the associated scaling function is well described by the generalized extreme value density, closely approximating the Gumbel family.

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