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arXiv 1202.3637hep-thgr-qc
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大N极限下的随机张量模型:有色张量模型的去着色

Random tensor models in the large N limit: Uncoloring the colored tensor models

Valentin Bonzom, Razvan Gurau, Vincent Rivasseau

摘要:

张量模型推广了随机矩阵模型,给出了任意维的动态三角剖分理论。有色张量模型已被证明允许1/N的扩展和连续极限分析访问。在本文中,我们证明了这些结果扩展到最一般的张量模型的一个通用的,即非对称的,复杂的张量。在这种情况下,颜色是作为一种标准的簿记设备出现的,而不是作为一个基本特征。在大N极限下,我们得到了自由能满足的一组维拉索罗约束和熵指数γ_m=1-1/m的多临界行为.

英文摘要:

Tensor models generalize random matrix models in yielding a theory of dynamical triangulations in arbitrary dimensions. Colored tensor models have been shown to admit a 1/N expansion and a continuum limit accessible analytically. In this paper we prove that these results extend to the most general tensor model for a single generic, i.e. non-symmetric, complex tensor. Colors appear in this setting as a canonical book-keeping device and not as a fundamental feature. In the large N limit, we exhibit a set of Virasoro constraints satisfied by the free energy and an infinite family of multicritical behaviors with entropy exponents γ_m=1-1/m.

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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