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arXiv 1007.0766quant-phcond-mat.mes-hallnucl-th
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稀疏系统的非平衡定态

Non-equilibrium steady state of sparse systems

Daniel Hurowitz, Doron Cohen

摘要:

电阻网络的跃迁图适用于研究弱混沌或弱相互作用驱动系统的能量吸收。这样的“稀疏”系统达到一个新的非平衡稳态(NESS),一旦耦合到一个浴。在随机的情况下,有一个类似的物理学的波动玻璃系统,并提出了一个扩展的波动耗散现象。在介观情况下,量子NESS可能与随机NESS有很大不同,饱和温度由稀疏度决定。一个玩具模型的稀疏性的系统建模使用对数正态随机合奏进行了分析。

英文摘要:

A resistor-network picture of transitions is appropriate for the study of energy absorption by weakly chaotic or weakly interacting driven systems. Such "sparse" systems reach a novel non-equilibrium steady state (NESS) once coupled to a bath. In the stochastic case there is an analogy to the physics of percolating glassy systems, and an extension of the fluctuation-dissipation phenomenology is proposed. In the mesoscopic case the quantum NESS might differ enormously from the stochastic NESS, with saturation temperature determined by the sparsity. A toy model where the sparsity of the system is modeled using a log-normal random ensemble is analyzed.

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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