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arXiv 1409.1979nlin.AO
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同步优化振子网络的热力学特性

Thermodynamic Characterization of Synchronization-Optimized Oscillator-Networks

Tatsuo Yanagita, Takashi Ichinomiya

摘要:

我们考虑一个规范的合奏同步优化网络的相同的振荡器在外部噪声。通过使用基尔霍夫指数执行马尔可夫链蒙特卡罗(MCMC)模拟,即,Laplacian矩阵的逆特征值之和(作为网络的图Hamilton),我们构建了1,000多个不同的同步优化网络。然后,我们表明,从恒星到核心外围结构的过渡取决于网络的连通性,其特征在于同步优化合奏的节点度方差。我们发现,热力学性质,如热容量显示稀疏网络的异常。

英文摘要:

We consider a canonical ensemble of synchronization-optimized networks of identical oscillators under external noise. By performing a Markov chain Monte Carlo (MCMC) simulation using the Kirchhoff index, i.e., the sum of the inverse eigenvalues of the Laplacian matrix (as a graph Hamiltonian of the network), we construct more than 1,000 different synchronization-optimized networks. We then show that the transition from star to core-periphery structure depends on the connectivity of the network, and is characterized by the node degree variance of the synchronization-optimized ensemble. We find that thermodynamic properties such as heat capacity show anomalies for sparse networks.

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