Conformal Invariance and Vector Operators in the O(N) Model
- 1. Universidad de la República, Instituto de Física, Facultad de Ciencias (Uruguay)
- 2. Sorbonne Université, CNRS, Laboratoire de Physique Théorique de la Matière Condensée, LPTMC (France)
- 3. Universidad de la República, Instituto de Física, Facultad de Ingeniería (Uruguay)
Description
It is widely expected that, for a large class of models, scale invariance implies conformal invariance. A sufficient condition for this to happen is that there exists no integrated vector operator, invariant under all internal symmetries of the model, with scaling dimension . In this article, we compute the scaling dimensions of vector operators with lowest dimensions in the O(N) model. We use three different approximation schemes: expansion, large N limit and third order of the derivative expansion of Non-Perturbative Renormalization Group equations. We find that the scaling dimensions of all considered integrated vector operators are always much larger than . This strongly supports the existence of conformal invariance in this model. For the Ising model, an argument based on correlation functions inequalities was derived, which yields a lower bound for the scaling dimension of the vector perturbations. We generalize this proof to the case of the O(N) model with .
Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Statistical Physics
- Journal Volume
- 177
- Journal Issue
- 6
- Journal Page Range
- p. 1089-1130
- ISSN
- 0022-4715
- CODEN
- JSTPBS
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 54086590
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- CONFORMAL INVARIANCE; CORRELATION FUNCTIONS; ISING MODEL; PERTURBATION THEORY; RENORMALIZATION; SCALE INVARIANCE; SCALE MODELS; SYMMETRY; VECTORS
- Descriptors DEC
- CRYSTAL MODELS; FUNCTIONS; INVARIANCE PRINCIPLES; MATHEMATICAL MODELS; STRUCTURAL MODELS; TENSORS
Optional Information
- Copyright
- Copyright (c) 2019 Springer Science+Business Media, LLC, part of Springer Nature