Large N Renormalization Group Approach to Matrix Models
S.Higuchi, C.Itoi, S.Nishigaki, N.Sakai

TL;DR
This paper develops a large N renormalization group framework for matrix models related to 2D quantum gravity, deriving exact equations and identifying fixed points and scaling exponents.
Contribution
It introduces a nonlinear RG equation and an algorithm for fixed points, reproducing the spectrum of relevant operators in matrix models.
Findings
Derived exact RG equations for matrix models.
Identified fixed points and scaling exponents.
Reproduced the spectrum of relevant operators.
Abstract
We summarize our recent results on the large N renormalization group (RG) approach to matrix models for discretized two-dimensional quantum gravity. We derive exact RG equations by solving the reparametrization identities, which reduce infinitely many induced interactions to a finite number of them. We find a nonlinear RG equation and an algorithm to obtain the fixed points and the scaling exponents. They reproduce the spectrum of relevant operators in the exact solution. The RG flow is visualized by the linear approximation.
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.
Taxonomy
TopicsBlack Holes and Theoretical Physics · Noncommutative and Quantum Gravity Theories · Cosmology and Gravitation Theories
