论文标题
具有非双向指数收缩的矩阵模型的阶段
Phases of a matrix model with non-pairwise index contractions
论文作者
论文摘要
最近,已经在规范张量模型的背景下研究了一个具有非皮革指数收缩的矩阵模型,该模型是规范形式主义中量子重力的张量模型。当副本玻璃理论应用于球形$ p $ -spin模型($ p = 3 $)时,该矩阵模型也以不同的参数和变量范围出现相同的形式。对该矩阵模型的先前研究表明,存在$ r \ sim n^2/2 $的连续相变存在,其中$ n $和$ r $表示其矩阵尺寸$ n \ times r $。 $ n $和$ r $之间的这种关系令人着迷地同意张量模型的一致性条件,并以$ n $的领先顺序达成一致性,这表明张量模型位于附近或连续的相过渡点附近或处于连续的相结合点上,因此其连续限制自动以$ n \ rightarrow \ rightarrow \ infty $限制自动采用。然而,在先前的工作中,由于蒙特卡洛模拟的放缓,相变的证据并不令人满意。在这项工作中,我们通过整合矩阵的径向方向为蒙特卡洛模拟提供了新的设置。这种新策略大大提高了效率,并使我们能够清楚地表明相位过渡的存在。我们还提供了各个相的各种特征,例如配置的动态生成尺寸,级联对称破坏和参数零极限,以讨论与规范张量模型的某些含义。
Recently a matrix model with non-pairwise index contractions has been studied in the context of the canonical tensor model, a tensor model for quantum gravity in the canonical formalism. This matrix model also appears in the same form with different ranges of parameters and variables, when the replica trick is applied to the spherical $p$-spin model ($p=3$) in spin glass theory. Previous studies of this matrix model suggested the presence of a continuous phase transition around $R\sim N^2/2$, where $N$ and $R$ designate its matrix size $N\times R$. This relation between $N$ and $R$ intriguingly agrees with a consistency condition of the tensor model in the leading order of $N$, suggesting that the tensor model is located near or on the continuous phase transition point and therefore its continuum limit is automatically taken in the $N\rightarrow \infty$ limit. In the previous work, however, the evidence for the phase transition was not satisfactory due to the slowdown of the Monte Carlo simulations. In this work, we provide a new setup for Monte Carlo simulations by integrating out the radial direction of the matrix. This new strategy considerably improves the efficiency, and allows us to clearly show the existence of the phase transition. We also present various characteristics of the phases, such as dynamically generated dimensions of configurations, cascade symmetry breaking, and a parameter zero limit, to discuss some implications to the canonical tensor model.