Scaling dimensions from linearized tensor renormalization group transformations

We show a way to perform the canonical renormalization group (RG) prescription in tensor space: write down the tensor RG equation, linearize it around a fixed-point tensor, and diagonalize the resulting linearized RG equation to obtain scaling dimensions. The tensor RG methods have had great success...

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Main Authors: Xinliang Lyu, RuQing G. Xu, Naoki Kawashima
Format: Article
Language:English
Published: American Physical Society 2021-04-01
Series:Physical Review Research
Online Access:http://doi.org/10.1103/PhysRevResearch.3.023048
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author Xinliang Lyu
RuQing G. Xu
Naoki Kawashima
author_facet Xinliang Lyu
RuQing G. Xu
Naoki Kawashima
author_sort Xinliang Lyu
collection DOAJ
description We show a way to perform the canonical renormalization group (RG) prescription in tensor space: write down the tensor RG equation, linearize it around a fixed-point tensor, and diagonalize the resulting linearized RG equation to obtain scaling dimensions. The tensor RG methods have had great success in producing accurate free energy compared with the conventional real-space RG schemes. However, the above-mentioned canonical procedure has not been implemented for general tensor-network-based RG schemes. We extend the success of the tensor methods further to extraction of scaling dimensions through the canonical RG prescription, without explicitly using the conformal field theory. This approach is benchmarked in the context of the Ising models in one dimension and two dimensions. Based on a pure RG argument, the proposed method has potential applications to three-dimensional systems, where the existing bread-and-butter method is inapplicable.
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spelling doaj.art-7c30cd113a5a4154853623493a93e5132024-04-12T17:09:15ZengAmerican Physical SocietyPhysical Review Research2643-15642021-04-013202304810.1103/PhysRevResearch.3.023048Scaling dimensions from linearized tensor renormalization group transformationsXinliang LyuRuQing G. XuNaoki KawashimaWe show a way to perform the canonical renormalization group (RG) prescription in tensor space: write down the tensor RG equation, linearize it around a fixed-point tensor, and diagonalize the resulting linearized RG equation to obtain scaling dimensions. The tensor RG methods have had great success in producing accurate free energy compared with the conventional real-space RG schemes. However, the above-mentioned canonical procedure has not been implemented for general tensor-network-based RG schemes. We extend the success of the tensor methods further to extraction of scaling dimensions through the canonical RG prescription, without explicitly using the conformal field theory. This approach is benchmarked in the context of the Ising models in one dimension and two dimensions. Based on a pure RG argument, the proposed method has potential applications to three-dimensional systems, where the existing bread-and-butter method is inapplicable.http://doi.org/10.1103/PhysRevResearch.3.023048
spellingShingle Xinliang Lyu
RuQing G. Xu
Naoki Kawashima
Scaling dimensions from linearized tensor renormalization group transformations
Physical Review Research
title Scaling dimensions from linearized tensor renormalization group transformations
title_full Scaling dimensions from linearized tensor renormalization group transformations
title_fullStr Scaling dimensions from linearized tensor renormalization group transformations
title_full_unstemmed Scaling dimensions from linearized tensor renormalization group transformations
title_short Scaling dimensions from linearized tensor renormalization group transformations
title_sort scaling dimensions from linearized tensor renormalization group transformations
url http://doi.org/10.1103/PhysRevResearch.3.023048
work_keys_str_mv AT xinlianglyu scalingdimensionsfromlinearizedtensorrenormalizationgrouptransformations
AT ruqinggxu scalingdimensionsfromlinearizedtensorrenormalizationgrouptransformations
AT naokikawashima scalingdimensionsfromlinearizedtensorrenormalizationgrouptransformations