Large $N$ limit and $1/N$ expansion of invariant observables in $O(N)$ linear $\sigma$-model via SPDE
Hao Shen, Rongchan Zhu, Xiangchan Zhu

TL;DR
This paper studies the large N behavior of invariant observables in the 2D Wick renormalized linear sigma model, revealing their convergence to Gaussian fields and deriving detailed 1/N expansions and corrections.
Contribution
It provides a detailed analysis of the large N limit and 1/N expansion of invariant observables in the 2D O(N) sigma model using stochastic quantization and Dyson-Schwinger equations.
Findings
Quadratic observables converge to a Gaussian field with explicit covariance.
Renormalized powers of the Gaussian field have finite shifts in the large N limit.
Derived 1/N asymptotic expansion for k-point functions of quadratic observables.
Abstract
In this paper, we continue the study of large problems for the Wick renormalized linear sigma model, i.e. -component model, in two spatial dimensions, using stochastic quantization methods and Dyson--Schwinger equations. We identify the large limiting law of a collection of Wick renormalized invariant observables. In particular, under a suitable scaling, the quadratic observables converge in the large limit to a mean-zero (singular) Gaussian field denoted by with an explicit covariance; and the observables which are renormalized powers of order converge in the large limit to suitably renormalized -th powers of . The quartic interaction term of the model has no effect on the large limit of the field, but has nontrivial contributions to the limiting law of the observables, and the renormalization of the -th…
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Stochastic processes and financial applications · Financial Markets and Investment Strategies
