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Analyticity of critical exponents of the O(N) models from nonperturbative renormalization

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arxiv 2012.00782 v5 pith:QSOGROLA submitted 2020-12-01 cond-mat.stat-mech hep-th

Analyticity of critical exponents of the O(N) models from nonperturbative renormalization

classification cond-mat.stat-mech hep-th
keywords cardy-hamberformlineanticipatedcriticalcrossoverderivativesdimensionality
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We employ the functional renormalization group framework at the second order in the derivative expansion to study the $O(N)$ models continuously varying the number of field components $N$ and the spatial dimensionality $d$. We in particular address the Cardy-Hamber prediction concerning nonanalytical behavior of the critical exponents $\nu$ and $\eta$ across a line in the $(d,N)$ plane, which passes through the point $(2,2)$. By direct numerical evaluation of $\eta(d,N)$ and $\nu^{-1}(d,N)$ as well as analysis of the functional fixed-point profiles, we find clear indications of this line in the form of a crossover between two regimes in the $(d,N)$ plane, however no evidence of discontinuous or singular first and second derivatives of these functions for $d>2$. The computed derivatives of $\eta(d,N)$ and $\nu^{-1}(d,N)$ become increasingly large for $d\to 2$ and $N\to 2$ and it is only in this limit that $\eta(d,N)$ and $\nu^{-1}(d,N)$ as obtained by us are evidently nonanalytical. By scanning the dependence of the subleading eigenvalue of the RG transformation on $N$ for $d>2$ we find no indication of its vanishing as anticipated by the Cardy-Hamber scenario. For dimensionality $d$ approaching 3 there are no signatures of the Cardy-Hamber line even as a crossover and its existence in the form of a nonanalyticity of the anticipated form is excluded.

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  1. Functional Dimensional Regularization for O(N) Models

    hep-th 2026-04 unverdicted novelty 5.0

    Functional dimensional regularization applied to the O(N) universality class yields critical exponents comparable to advanced non-perturbative methods while retaining efficiency and rapid convergence.