A new method to solve the Non Perturbative Renormalization Group equations
J.-P. Blaizot, Ramon Mendez Galain, Nicolas Wschebor

TL;DR
This paper introduces a novel approach to solving the Non Perturbative Renormalization Group equations for n-point functions, leveraging mode decoupling and analyticity to simplify the hierarchy of equations.
Contribution
It presents a new method that approximates the RG equations by closing the hierarchy using mode decoupling and background field relations, improving systematically.
Findings
Exact in the large N limit for the O(N) model
Simplifies the derivation of known results without auxiliary fields
Provides a systematic way to improve approximation accuracy
Abstract
We propose a method to solve the Non Perturbative Renormalization Group equations for the -point functions. In leading order, it consists in solving the equations obtained by closing the infinite hierarchy of equations for the -point functions. This is achieved: i) by exploiting the decoupling of modes and the analyticity of the -point functions at small momenta: this allows us to neglect some momentum dependence of the vertices entering the flow equations; ii) by relating vertices at zero momenta to derivatives of lower order vertices with respect to a constant background field. Although the approximation is not controlled by a small parameter, its accuracy can be systematically improved. When it is applied to the O(N) model, its leading order is exact in the large limit; in this case, one recovers known results in a simple and direct way, i.e., without introducing an…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
