The partition algebra and the Potts model transfer matrix spectrum in high dimensions

The partition algebra and the Potts model transfer matrix spectrum in high dimensions
复制标题

高维划分代数和 Potts 模型传递矩阵谱

DOI:
10.1088/0305-4470/33/19/304
复制
发表时间:
2000
期刊:
Journal of Physics A: Mathematical and General
影响因子:
--
通讯作者:
Paul Martin
Paul Martin
中科院分区:
--
文献类型:
--
作者:
Paul Martin

文献摘要

被引文献

相似文献

我们构造了分区代数 Pn(Q) 的泛化 Pmn(Q) (Martin P P 1996 J. Algebra 183 319),促进了对具有磁场和源项的高维 Q 状态 Potts 模型的 n 位转移矩阵谱的表示理论方法(以及相应的二色多项式)。对于每个 Q ∊ ℂ,我们描述代数序列 P*(Q) = {Pn(Q) ⊂ Pn1(Q) ⊂ Pn + 1(Q)| 的不可约表示论n = 0,1,2,...} 接近大 n 极限。对于每个正整数 Q,我们将 Pn(Q) 的 Potts 模型表示 ρn 扩展到 P1n(Q) 的表示。我们展示了这些 Potts 表示如何嵌入到划分代数的表示理论中。这些结果共同提供了一种检查物理相关函数性质的工具。对于大 n,Potts 表示的不可约内容可以总结为 ℂSQ ≅ EndPn(Q)({VQ⊗n}) 和 ℂSQ-1 ≅ EndPn1(Q)({VQ⊗n}),其中 SQ 是对称群,VQ 是 Potts 自旋的状态空间。我们展示了划分代数形式如何匹配 Potts 模型的相关函数及其传递矩阵的相应绝对谱简并性。
We construct generalizations Pmn(Q) of the partition algebra Pn(Q) (Martin P P 1996 J. Algebra 183 319), facilitating a representation theoretic approach to the n-site transfer matrix spectrum of a high-dimensional Q-state Potts model with magnetic field and source terms (and to corresponding dichromatic polynomials). For each Q ∊ ℂ we describe the irreducible representation theory of the sequence of algebras P*(Q) = {Pn(Q) ⊂ Pn1(Q) ⊂ Pn + 1(Q)| n = 0,1,2,...} approaching the large-n limit. For each positive integer Q we extend the Potts model representation ρn of Pn(Q) to a representation of P1n(Q). We show how these Potts representations embed in the representation theory of the partition algebras. These results together provide a tool with which to examine the nature of physical correlation functions. For large n the irreducible content of the Potts representations can be summarized by ℂSQ ≅ EndPn(Q)({VQ⊗n}) and ℂSQ-1 ≅ EndPn1(Q)({VQ⊗n}), where SQ is the symmetric group, and VQ is the space of states of a Potts spin. We show how the partition algebra formalism matches up the correlation functions of the Potts model and the corresponding absolute spectrum degeneracies of its transfer matrix.