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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
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Lyapunov Stability of the Edge-Vertex Ratio in a Graph Dynamical System with Cohomological Feedback

Authors: Volk, Jason;

Lyapunov Stability of the Edge-Vertex Ratio in a Graph Dynamical System with Cohomological Feedback

Abstract

We study a discrete-time dynamical system in which a finite graph G(t) = (V(t), E(t)) grows by twocompeting mechanisms: bounded-rate edge addition and energy-threshold-gated vertex expansion. Acellular sheaf over G(t) equips each vertex with a stalk Rd and each edge with linear restriction maps.A spectral obstruction proxy derived from the near-zero spectrum of the sheaf Laplacian enters abounded pressure functional that governs whether vertex expansion fires on a given cycle.Define the edge-vertex ratio r(t) = |E(t)|/|V(t)|. We construct a Lyapunov function V(r) = (r - r*)2 andshow that, given empirically verified monotone feedback and rate balance, V is decreasing alongtrajectories outside a neighborhood of the equilibrium r*. Over the attractor regime, the equilibrium ischaracterized by the stationary rate balance r* = mn/nn, where mn and nn are the time-averagededge and vertex creation rates. The attractor width scales as O(1/|V(t)|).The stability of r implies, via the Euler characteristic, a bound on the first Betti number beta_1(t)proportional to |V(t)|. We validate the result on a 500-cycle run (seed 42, ARPACK-correctedeigensolver) starting from a 150-vertex seed and growing to 515 vertices. The ratio r(t) locks to 3.0 bycycle 150 and remains there for 350 consecutive cycles. The measured stationary rate ratio mn/nn =2.99 is consistent with the observed attractor to within rounding precision.

Keywords

graph dynamics, AI safety, Lyapunov, cohomology

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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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