Dimensional Reduction by Conformal Bootstrap
Disordered Systems and Neural Networks
2019-06-27 v3 High Energy Physics - Theory
Mathematical Physics
math.MP
Abstract
The dimensional reductions in the branched polymer and the random field Ising model (RFIM) are discussed by a conformal bootstrap method. The small size minors are applied for the evaluations of the scale dimensions of these two models and the results are compared to D'=D-2 dimensional Yang-Lee edge singularity and to pure D'=D-2 dimensional Ising model, respectively. For the former case, the dimensional reduction is shown to be valid for , and for the latter case, the deviation from the dimensional reduction can be seen below five dimensions.
Keywords
Cite
@article{arxiv.1801.09052,
title = {Dimensional Reduction by Conformal Bootstrap},
author = {Shinobu Hikami},
journal= {arXiv preprint arXiv:1801.09052},
year = {2019}
}
Comments
23 page, 13 figures