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首页> 外文期刊>Annales Henri Poincare >Next-to-Leading Order in the Large N Expansion of the Multi-Orientable Random Tensor Model
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Next-to-Leading Order in the Large N Expansion of the Multi-Orientable Random Tensor Model

机译:多向随机张量模型的大N展开中的次幂

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摘要

In this paper we analyze in detail the next-to-leading order (NLO) of the recently obtained large N expansion for the multi-orientable (MO) tensor model. From a combinatorial point of view, we find the class of Feynman tensor graphs contributing to this order in the expansion. Each such NLO graph is characterized by the property that it contains a certain non-orientable ribbon subgraph (a non-orientable jacket). Furthermore, we find the radius of convergence and the susceptibility exponent of the NLO series for this model. These results represent a first step towards the larger goal of defining an appropriate double-scaling limit for the MO tensor model.
机译:在本文中,我们详细分析了多方向(MO)张量模型中最近获得的大N展开的次要阶(NLO)。从组合的角度来看,我们发现Feynman张量图的类在扩展中对此顺序有所贡献。每个此类NLO图的特征在于它包含某个不可定向的带状子图(不可定向的护套)。此外,我们找到了该模型的NLO级数的收敛半径和磁化指数。这些结果代表了朝着为MO张量模型定义适当的双标度极限这一更大目标的第一步。

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