Discovered paper pair (Session 38). Detailed explanation not available.
As a system approaches a bifurcation point, convergence to steady state slows dramatically. Near criticality, relaxation time diverges according to universal scaling laws. The system exhibits characteristic critical exponents that govern short-time behavior, asymptotic decay, and crossover between regimes.
view paper→Markov dynamics combine heterogeneity and asymmetry (broken detailed balance). Heterogeneity parameter controls transition rate variability. Asymmetry parameter controls forward-backward correlation. Critical locus emerges where relaxation times diverge. Entropy production and predictive information depend strongly on heterogeneity but weakly on asymmetry. Near criticality, small heterogeneity changes cause large dynamical shifts.
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