The Functional Renormalization Group Treatment of Disordered Systems: a Review
Kay Joerg Wiese

TL;DR
This review discusses the application of the functional renormalization group to disordered systems, highlighting the necessity of a functional approach, non-analytic disorder distributions, and exact solutions for elastic manifolds.
Contribution
It provides a comprehensive overview of the functional renormalization group method for disordered systems, including non-perturbative solutions and comparisons with replica methods.
Findings
Disorder distributions become non-analytic after renormalization.
Exact solution for elastic manifolds in the limit of infinite dimensions.
Analysis of depinning phenomena and interface width distributions.
Abstract
We review current progress in the functional renormalization group treatment of disordered systems. After an elementary introduction into the phenomenology, we show why in the context of disordered systems a functional renormalization group treatment is necessary, contrary to pure systems, where renormalization of a single coupling constant is sufficient. This leads to a disorder distribution, which after a finite renomalization becomes non-analytic, thus overcoming the predictions of the seemingly exact dimensional reduction. We discuss, how a renormalizable field theory can be constructed, even beyond 1-loop order. We then discuss an elastic manifold imbedded in N dimensions, and give the exact solution for N -> oo. This is compared to predictions of the Gaussian replica variational ansatz, using replica symmetry breaking. We finally discuss depinning, both isotropic and anisotropic,…
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
TopicsTheoretical and Computational Physics · Stochastic processes and statistical mechanics · Nonlinear Dynamics and Pattern Formation
