Weak irreducibility as a spectral criterion for phase coexistence
arXiv:2608.23757
2026
Dynamics
1 ideas extracted · analyzed Sep 1, 2026
What the math gives to ML
The paper provides a spectral decomposition of finite-size phase coexistence into two independently measurable coordinates: sector imbalance determines where coexistence is balanced, while inter-sector connectivity determines whether competing sectors remain mixed or become effectively reducible. In a two-sector effective operator, the dominant-state splitting is controlled by both imbalance and off-diagonal connectivity; at balance, the splitting directly measures connectivity, which can decay exponentially with interface cost. This mechanism can transfer to mixture-of-experts routing or multimodal training by monitoring whether balanced sectors are genuinely separated or merely rapidly communicating, then using the measured spectral gap to trigger anti-collapse or specialization schedules.
Ideas from this paper
Unverified
2026
Treat groups of neural-network states or experts as metastable sectors and estimate both sector imbalance and inter-sector connectivity from minibatch routing or trajectory transitions. At balanced sector usage, the effective two-sector spectral splitting becomes a direct estimate of connectivity: a large splitting indicates that the sectors are still strongly communicating, whereas a small splitting indicates genuine specialization or incipient collapse into disconnected modes.
Useful6/10
Difficulty5/10
Novelty7/10