From torus bundles to particle–hole equivariantization
From torus bundles to particle–hole equivariantization
复制标题
从环面束到粒子空穴等变化
DOI:
10.1007/s11005-022-01508-3
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发表时间:
2022
影响因子:
1.2
通讯作者:
Zhang, Qing
中科院分区:
文献类型:
--
作者:
Cui, Shawn X.;Gustafson, Paul;Qiu, Yang;Zhang, Qing
We continue the program of constructing (pre)modular tensor categories from 3-manifolds first initiated by Cho–Gang–Kim usingMtheory in physics and then mathematically studied by Cui–Qiu–Wang. An important structure involved in the construction is a collection of certaincharacters on a given manifold, which serve as the simple object types in the corresponding category. Chern–Simons invariants and adjoint Reidemeister torsions also play a key role, and they are related to topological twists and quantum dimensions, respectively, of simple objects. The modularS-matrix is computed from local operators and follows a trial-and-error procedure. It is currently unknown how to produce data beyond the modularS- andT-matrices. There are also a number of subtleties in the construction, which remain to be solved. In this paper, we consider an infinite family of 3-manifolds, that is, torus bundles over the circle. We show that the modular data produced by such manifolds are realized by the-equivariantization of certain pointed premodular categories. Here the equivariantization is performed for the-action sending a simple (invertible) object to its inverse, also called the particle–hole symmetry. It is our hope that this extensive class of examples will shed light on how to improve the program to recover the full data of a premodular category.
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影响因子:
0.9
作者:
E. Ardonne;M. Cheng;E. Rowell;Zhenghan Wang
通讯作者:
Zhenghan Wang
DOI:
10.1007/s00029-010-0017-z
发表时间:
2009-06
期刊:
Selecta Mathematica
影响因子:
--
作者:
V. Drinfeld;Shlomo Gelaki;D. Nikshych;V. Ostrik
通讯作者:
V. Drinfeld;Shlomo Gelaki;D. Nikshych;V. Ostrik
影响因子:
2.4
作者:
Cui, Shawn X.;Qiu, Yang;Wang, Zhenghan
通讯作者:
Wang, Zhenghan
DOI:
10.1017/s0305004100072066
发表时间:
1994
影响因子:
0.8
作者:
D. Auckly
通讯作者:
D. Auckly
DOI:
--
发表时间:
2023
期刊:
影响因子:
--
作者:
Tomohiro Furukawa;Kazunobu Matsumura;Sanefumi Moriyama;Tomoki Nakanishi;Masahito Yamazaki
通讯作者:
Masahito Yamazaki