Cross-Domain Evidence for a Universal Scaling Law in Bounded Self-Driven Oscillatory Systems

We report a universal scaling law governing the rise dynamics of bounded self-driven oscillatory systems: T·√A = Γ, equivalently T_rise ∝ A⁻°·⁵, where T_rise is the rise time from oscillatory minimum to peak, A is the peak amplitude, and Γ is a system-characteristic constant. The scaling law is derived from the structural dynamics of bounded self-amplifying oscillations: when amplitude reflects driver strength rather than stored energy and the same mechanism produces each event, logistic self-amplification during the rise phase gives T_rise ∝ A⁻°·⁵ with exponent exactly −0.500. The Waldmeier Effect in solar physics — that stronger solar cycles have shorter rise times, empirically documented since 1935 and theoretically unexplained for 90 years — is confirmed as the primary expression of this law: slope −0.509 versus predicted −0.500, deviation 1.8%, R² = 0.587, 24 complete cycles, 270 years of data (SIDC/SILSO). Cross-domain testing reveals the same relationship in the QBO (R² = 0.848, 71 years), classical Cepheid variable stars (dimensionless Γ within 7.6% of solar), and a null result in financial market VIX spikes (slope wrong direction, explained by framework). The dimensionless Γ, normalised by each system’s characteristic scales, clusters within 10% across confirmed domains (CV = 3.7%). A three-criterion selection framework — same driver mechanism, amplitude reflecting driver strength not stored energy, separable rise phase — correctly predicts which systems show the relationship and which do not.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-27
DOI
https://doi.org/10.5281/zenodo.20401740
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Cross-Domain Evidence for a Universal Scaling Law in Bounded Self-Driven Oscillatory Systems

Steven Daw
Zenodo (CERN European Organization for Nuclear Research)
Nonlinear Dynamics and Pattern Formation
preprint

Cross-Domain Evidence for a Universal Scaling Law in Bounded Self-Driven Oscillatory Systems

Steven Daw
preprint en

Abstract

We report a universal scaling law governing the rise dynamics of bounded self-driven oscillatory systems: T·√A = Γ, equivalently T_rise ∝ A⁻°·⁵, where T_rise is the rise time from oscillatory minimum to peak, A is the peak amplitude, and Γ is a system-characteristic constant. The scaling law is derived from the structural dynamics of bounded self-amplifying oscillations: when amplitude reflects driver strength rather than stored energy and the same mechanism produces each event, logistic self-amplification during the rise phase gives T_rise ∝ A⁻°·⁵ with exponent exactly −0.500. The Waldmeier Effect in solar physics — that stronger solar cycles have shorter rise times, empirically documented since 1935 and theoretically unexplained for 90 years — is confirmed as the primary expression of this law: slope −0.509 versus predicted −0.500, deviation 1.8%, R² = 0.587, 24 complete cycles, 270 years of data (SIDC/SILSO). Cross-domain testing reveals the same relationship in the QBO (R² = 0.848, 71 years), classical Cepheid variable stars (dimensionless Γ within 7.6% of solar), and a null result in financial market VIX spikes (slope wrong direction, explained by framework). The dimensionless Γ, normalised by each system’s characteristic scales, clusters within 10% across confirmed domains (CV = 3.7%). A three-criterion selection framework — same driver mechanism, amplitude reflecting driver strength not stored energy, separable rise phase — correctly predicts which systems show the relationship and which do not.

Zenodo (CERN European Organization for Nuclear Research)
Nonlinear Dynamics and Pattern Formation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.