The enigmatic exponent koppa and the story of finite-size scaling above the upper critical dimension
Ralph Kenna, Bertrand Berche

TL;DR
This paper investigates the peculiar behavior of finite-size scaling and critical exponents, especially the enigmatic exponent koppa, in high-dimensional systems above the upper critical dimension, revealing new insights into critical phenomena.
Contribution
It introduces a novel understanding of the exponent koppa and clarifies the limitations of traditional finite-size scaling theories in high dimensions.
Findings
Finite-size scaling breaks down above the upper critical dimension.
The exponent koppa plays a crucial role in high-dimensional critical phenomena.
Traditional scaling relations need modification for high-dimensional systems.
Abstract
Scaling, hyperscaling and finite-size scaling were long considered problematic in theories of critical phenomena in high dimensions. The scaling relations themselves form a model-independent structure that any model-specific theory must adhere to, and they are accounted for by the simple principle of homogeneity. Finite-size scaling is similarly founded on the fundamental idea that only two length scales enter the game -- namely system length and correlation length. While all scaling relations are quite satisfactory for multitudes of physical systems in low dimensions, one fails in high dimensions...
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
TopicsComputability, Logic, AI Algorithms
