Timescale Coalescence Makes Hidden Persistent Forcing Spectrally Dark
Yuda Bi, Chenyu Zhang, Vince D Calhoun

TL;DR
This paper investigates how unresolved slow forcing affects spectral inference in AR models, revealing a geometric 'dark' regime where perturbations are hidden, and classifies spectral behaviors based on model complexity.
Contribution
It introduces a geometric explanation for spectral dark regimes in AR models and classifies spectral behaviors based on hidden driver complexity.
Findings
In AR(1), the local spectral distance scales as λ^4 near coalescence.
The coefficient C vanishes as (a-b)^2 at timescale coalescence, indicating a dark regime.
In AR(2), the spectral perturbation C remains positive, showing richer spectral structure.
Abstract
Under coarse observation, unresolved slow forcing can remain dynamically active yet locally invisible to reduced spectral inference. For a solvable driven AR benchmark, the local Whittle/Kullback--Leibler distance from the true spectrum to the best nearby one-pole surrogate obeys , even though the observed spectrum itself is perturbed at . The quartic onset is a geometric consequence of the reduced model manifold: the perturbation is partially absorbed by tangent-space reparametrization, and only the normal residual survives. We obtain in closed form for an AR hidden driver and show that vanishes as at timescale coalescence, identifying a spectrally \emph{dark} regime. We then show that this dark regime is not geometrically inevitable: for a non-degenerate AR hidden driver (second…
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