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Probability distributions of the order parameter of the $O(N)$ model

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arxiv 2501.04465 v2 pith:SVDEJ7KH submitted 2025-01-08 cond-mat.stat-mech

classification cond-mat.stat-mech
keywords familymodelcriticalityfunctionalgeneralizeinfiniteinftylimit
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

We study the probability distribution function (PDF) of the order parameter of the three-dimensional $O(N)$ model at criticality using the functional renormalisation group. For this purpose, we generalize the method introduced in [Balog et al., Phys. Rev. Lett. {\bf 129}, 210602 (2022)] to the $O(N)$ model. We study the large $N$ limit, as well as the cases $N=2$ and $N=3$ at the level of the Local Potential Approximation (LPA), and compare our results to Monte Carlo simulations. We compute the entire family of universal scaling functions, obtained in the limit where the system size $L$ and the correlation length of the infinite system $\xi_\infty$ diverge, with the ratio $\zeta=L/\xi_\infty$ constant. We also generalize our results to the approach of criticality from the low-temperature phase where another infinite family of universal PDF exists. We find that the LPA describes very well the functional form of the family of PDFs, once we correct for a global amplitude of the (logarithm of the) PDF and of $\zeta$.

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    cond-mat.stat-mech 2025-02 conditional novelty 5.0 of 10

    Stochastic RG flows on a finite volume with frozen empirical magnetization yield formal Fokker-Planck equations for the magnetization's large-deviation rate function, but no new rate function is computed.

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