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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Endogenous Spectral Gap Formation in Coherence-Gated Hebbian Learning

Authors: Abbott, Spencer;

Endogenous Spectral Gap Formation in Coherence-Gated Hebbian Learning

Abstract

We prove that Assumption A1 of Abbott (2026b)---the existence of a positive eigenvalue gap $\lambda_1(W_{T_0}) - \lambda_2(W_{T_0}) \geq \delta_0 > 0$ at the ergodic-to-annealing transition---holds as a theorem rather than an assumption, eliminating the sole remaining external hypothesis from the CGHL framework. The proof proceeds in three steps. We show that the $N$-step transition kernel of the weight process is absolutely continuous on the cone of positive definite matrices $S^N_+$ (Lemma~1), that the stationary measure $\pi$ therefore assigns zero mass to the degenerate set $\{\lambda_1 = \lambda_2\}$ (Lemma~2), and that Harris recurrence then guarantees almost sure finite-time entry into any set of positive gap bounded away from zero (Theorem). The P\'eclet mechanism---the coherence gate's preferential amplification of the dominant eigendirection---is identified as the qualitative driver of gap magnitude, consistent with empirical ratios $\lambda_1/\lambda_2 \in [4.4, 13.2]$ across 20 independent trajectories. Together with Papers 1 and 2, this completes a fully assumption-free mathematical theory of coherence emergence and directional memory consolidation under CGHL.

Keywords

Harris recurrence, coherence-gated Hebbian learning, spectral gap, stochastic approximation, absolute continuity, Hopfield network, spectral gap formation, endogenous gap, Hebbian learning

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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
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