Relational Rank Geometry (RRG) is a model-light geometric instrument for detecting when two scalar observers sharing an unknown coupling mechanism transition between geometric regimes — emergence, lock, and exit — certified by a rank condition on their joint covariance, without access to the coupling mechanism itself. At its core is the observable dᵣho = Var (rhoₐb, W), the variance of the windowed cross-correlation treated as a stochastic process. Its main result, the Rank-Collapse Theorem, establishes that dᵣho ≈ 0 together with |rho*| ≈ 1 is sufficient—and under A1–A5 necessary—for the joint covariance to become effectively rank-1. Both directions are proved: the reverse direction closes via the Popoviciu variance inequality applied to the bounded support established by A5. The document also introduces Conjecture 2 (Complete Recursion Condition), which characterizes sustained LOCK through a joint increment condition and three distinct failure modes: exhaustion, cancellation, and non-arrival. Empirical validation spans multiple domains, including EEG, financial time series, traffic networks, gravitational wave detection (LIGO), and algebraic number classification from convergence dynamics.
Jesus David Calderas Cervantes (Mon,) studied this question.
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