Abrupt, irreversible critical transitions (tipping points) across climate, ecological, material, and neurobiological systems pose a profound mathematical challenge: classical early warning indicators based on local linear stability (critical slowing down, variance divergence, and lag-1 autocorrelation) react only in the immediate vicinity of a local bifurcation and fail to capture global basin geometry or noise-induced topological restructuring. In this paper, we establish the Dynamic Topological Critical Transition System (DTCTS), a unified deductive framework synthesizing fast–slow stochastic bifurcation theory, dynamic persistent homology (PH_k(X_t)), and free-boundary phase transitions, anchored directly in our 71-page ZFC Master Reference Monograph (Lee, 2026, DOI: 10.5281/zenodo.23486681) [1]. All foundational spaces and universal constants 𝔘 = (𝒯_0x8A2C, C_UPTC, η_friction, ε_SHID) follow Proposition 1.5, Theorem 2.9, Theorem 3.4, Lemma 4.5, Lemma 6.3, Lemma 6.5, Theorem 6.6, Lemma 7.3, and Lemma 8.6 of [1]. Formulating the coupled state Σ_t = (x_t, λ_t, Dgm(t), ℰ_t, K) over the η_friction-relaxed Lawvere quasi-metric space and the Fractional Sobolev–Colombeau Quotient Algebra 𝓖^α(Ω), we establish six core axioms (DTCTS-1 through DTCTS-6) and prove six fundamental theorems: (1) Quantitative Lead-Time Superiority (Δt_lead > 0) of Dynamic Persistent Homology over classical variance and autocorrelation indicators; (2) Information-Theoretic Necessary and Sufficient Signal-to-Noise Ratio Conditions (s/σ > C√(ln(1/α))) for separating topological noise from structural tipping; (3) Finite-Window Identifiability Limits (T · ε · d ≳ ln(1/δ)) on the Takesaki Type II_1 ground factor 𝓜_ground; (4) Topological Lower Bounds on Hysteresis Irreversibility (Irr ≥ c ∑ (d_i - b_i)) governed by vanished homology generators and the URRHC monad; (5) Exact Correspondence between Fold/Hopf Bifurcations and PH_0 / PH_1 Betti Jumps; and (6) Free-Boundary Topological Phase Tracking via Colombeau–UROA Fractal Brakes 𝓑_ε. Complete Python numerical verification is provided in Appendix A.
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Seonggil Lee (2026) studied this question.
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