Self-replicating functions and the renormalization group
Javier Rodriguez-Laguna, German Sierra

TL;DR
This paper analyzes the limitations of block renormalization group techniques by examining a functional operator that formalizes self-replicability, focusing on the mathematical properties of its fixed points.
Contribution
It introduces a formal framework for understanding self-replicability in systems and analyzes the fixed points of the associated functional operator.
Findings
Fixed points of the operator are characterized mathematically.
The partial success of block renormalization is explained through this framework.
Abstract
The partial success of the block renormalization group techniques is analysed in terms of a functional operator which formalizes the idea of self-replicability of a system in terms of smaller blocks which are similar to the original. The mathematical properties of the fixed points of this transformation are analyzed.
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
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Origins and Evolution of Life
