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Critical phenomena on scale-free networks: logarithmic corrections and scaling functions

机译:无标度网络上的关键现象:对数修正和   缩放功能

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摘要

In this paper, we address the logarithmic corrections to the leading powerlaws that govern thermodynamic quantities as a second-order phase transitionpoint is approached. For phase transitions of spin systems on d-dimensionallattices, such corrections appear at some marginal values of the orderparameter or space dimension. We present new scaling relations for theseexponents. We also consider a spin system on a scale-free network whichexhibits logarithmic corrections due to the specific network properties. Tothis end, we analyze the phase behavior of a model with coupled orderparameters on a scale-free network and extract leading and logarithmiccorrection-to-scaling exponents that determine its field- and temperaturebehavior. Although both non-trivial sets of exponents emerge from thecorrelations in the network structure rather than from the spin fluctuationsthey fulfil the respective thermodynamic scaling relations. For the scale-freenetworks the logarithmic corrections appear at marginal values of the nodedegree distribution exponent. In addition we calculate scaling functions, whichalso exhibit nontrivial dependence on intrinsic network properties.
机译:在本文中,我们将对主导热力学量的主导幂律进行对数校正,以接近二阶相变点。对于自旋系统在d维晶格上的相变,此类校正出现在阶数参数或空间维数的某些边际值处。我们为这些指数提出了新的比例关系。我们还考虑了无标度网络上的自旋系统,该系统由于特定的网络属性而表现出对数校正。为此,我们在无标度网络上分析了具有耦合阶数参数的模型的相位行为,并提取了确定其场和温度行为的超前和对数校正比例缩放指数。尽管两个非平凡的指数集都是从网络结构中的相关性而不是自旋涨落中出现的,但它们满足了各自的热力学比例关系。对于无标度网络,对数校正出现在节点度分布指数的边际值处。此外,我们计算缩放函数,这些缩放函数还表现出对内在网络属性的非平凡依赖。

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