Pith. sign in

REVIEW 1 cited by

Pitchfork bifurcation along a slow parameter ramp: coherent structures in the critical scaling

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2401.05672 v1 pith:6ZMQTKKY submitted 2024-01-11 math.DS math.APnlin.PS

Pitchfork bifurcation along a slow parameter ramp: coherent structures in the critical scaling

classification math.DS math.APnlin.PS
keywords parameterbifurcationinstabilityramppitchforkcriticale-iilocus
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
Share X Bluesky LinkedIn Reddit HN
read the original abstract

We investigate the slow passage through a pitchfork bifurcation in a spatially extended system, when the onset of instability is slowly varying in space. We focus here on the critical parameter scaling, when the instability locus propagates with speed $c\sim \varepsilon^{1/3}$, where $\varepsilon$ is a small parameter that measures the gradient of the parameter ramp. Our results establish how the instability is mediated by a front traveling with the speed of the parameter ramp, and demonstrate scalings for a delay or advance of the instability relative to the bifurcation locus depending on the sign of $c$, that is on the direction of propagation of the parameter ramp through the pitchfork bifurcation. The results also include a generalization of the classical Hastings-McLeod solution of the Painlev\'e-II equation to Painlev\'e-II equations with a drift term.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. CoT-X: An Adaptive Framework for Cross-Model Chain-of-Thought Transfer and Optimization

    cs.AI 2025-11 conditional novelty 5.0

    An adaptive summarization framework compresses chain-of-thought traces and transfers them across model families, claiming up to 40.5% accuracy gains over truncation on medical QA and 84% fewer configuration evaluation...