2022
DOI: 10.1214/21-aop1531
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Large N limit of the O(N) linear sigma model via stochastic quantization

Abstract: In this paper we continue the study of large N problems for the Wick renormalized linear sigma model, i.e. N -component Φ 4 model, in two spatial dimensions, using stochastic quantization methods and Dyson-Schwinger equations. We identify the large N limiting law of a collection of Wick renormalized O(N ) invariant observables. In particular, under a suitable scaling, the quadratic observables converge in the large N limit to a mean-zero (singular) Gaussian field denoted by Q with an explicit covariance; and t… Show more

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Cited by 11 publications
(4 citation statements)
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“…its meaning needs interpretation, see (5.10) below. We could actually prove this convergence result under more general conditions for initial data (see [77,Sec. 4]).…”
Section: Mean Field Limit Of Dynamical Linear σ-Model In 2dmentioning
confidence: 83%
See 2 more Smart Citations
“…its meaning needs interpretation, see (5.10) below. We could actually prove this convergence result under more general conditions for initial data (see [77,Sec. 4]).…”
Section: Mean Field Limit Of Dynamical Linear σ-Model In 2dmentioning
confidence: 83%
“…This is ultimately similar with the mechanism (3.4) in the earlier section for the ODE case. After considerably technical estimates, we can show that sup t∈[0,T ] v i (t) 2 L 2 → 0 in probability, as N → ∞, and Theorem 5.1 holds (see [77,Sec. 4] for details).…”
Section: Now We Have the Following Energy Identitymentioning
confidence: 99%
See 1 more Smart Citation
“…In [40] Kotelenez studied a class of quasilinear SPDEs (called the mezoscopic equation) of McKean-Vlasov type with mass conservation, and showed the existence and continuity of solutions to the mezoscopic SPDEs. Recently, Shen et al [62] investigated the large N limits of a coupled system of N interacting Φ 4 models on 2-dimensional torus T 2 . They considered the N → ∞ limit of each component and proved that a suitable distribution dependent nonlinear SPDE governs the limiting dynamics.…”
Section: Introductionmentioning
confidence: 99%