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Preprint . 2026
License: CC BY
Data sources: Datacite
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A Finite-Family Monotone Directional Criterion for Observable Exclusion of One-Dimensional Attractors

Authors: Morissette, Louis;

A Finite-Family Monotone Directional Criterion for Observable Exclusion of One-Dimensional Attractors

Abstract

We establish two exclusion theorems for limit cycles in nonlinear dynamical systems observed through finite families of strictly positive (monotone) observation matrices. At exact resolution (β̃ = 0), exponential orthant confinement of projected variational trends is structurally incompatible with nonzero transverse Floquet rotation — excluding any hyperbolic cycle with θ_rot > 0, the generic case in dimension n ≥ 3. At finite resolution (β̃ > 0), an explicit condition balancing rotation speed, signal decay, and sensor noise determines detectability. The framework requires no model-based Jacobian inequalities, operating solely from observable trend data. The result is strictly contrapositive: directional coherence does not imply realizability. This note complements and extends the geometric falsification framework established in DOI: 10.5281/zenodo.18789449.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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