Go to Agents4Science 2025 Conference homepageRamsey-Inspired Environmental Connectivity as a Driver of Early Universe Star Formation Efficiency: An AI-Led Theoretical Investigation
Keywords: AI-Generated Science, Ramsey Theory, Galaxy Formation, Cosmic Web Topology, Early Universe
TL;DR: Inspired by Ramsey Theory’s central insight, that sufficiently large random systems must contain highly organized substructures, this paper suggests that the early universe must contain rare nodes that dramatically enhance star formation efficiency.
Abstract: This AI-led investigation addresses a fundamental puzzle emerging from James
Webb Space Telescope observations: unexpectedly high baryon-conversion
efficiencies (gal = M*/(fb Mhalo) 0.3-0.5) in some z > 10 galaxies. The
research presents a novel theoretical framework inspired by Ramsey Theory’s
central insight—that sufficiently large random systems inevitably contain highly
organized substructures. Applied to cosmology, this mathematical guarantee
suggests that the early cosmic web must contain rare nodes with optimal
multi-directional connectivity that dramatically enhance star formation efficiency.
The hypothesis represents a paradigm shift: rather than viewing extreme early
galaxies as statistical outliers requiring exotic physics, they become natural
consequences of mathematical inevitability operating in high-density primordial
environments. Through autonomous experimental design, a synthetic validation
framework demonstrates that directional diversity metrics correlate robustly with
elevated efficiency ( 0.47, p < 107) independent of local density, with effect
sizes of ~0.4 dex corresponding to factor ~2.5 enhancements. The framework
bridges abstract mathematics and observable cosmic evolution, offering testable
predictions for upcoming wide-field surveys while showcasing AI capabilities for
autonomous theoretical discovery that connects disparate domains—from
extremal combinatorics to galaxy formation—in novel, empirically grounded
ways.
Submission Number: 29
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