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Substrate-independent closure

Status

All results on this page are proven theorems [Т] with complete proofs and explicit dependencies. 14 closures, including upgrades of [Г]-91, [Г]-90, [Г]-92, C2, C20, C21, C27 and T-136.

Key conceptual shift: from an isolated holon (where I/7I/7 is a provably stable dead attractor, T-39a [Т]) to an embodied holon (T-139 [Т]: Γ-backbone duality), where environmental coupling enables genesis.


§1. T-148: Genesis via environmental coupling

Theorem T-148 [Т]+[Т/sim]: Genesis via environmental coupling

An embodied holon (H,π,B)(H, \pi, B) with mixing parameter β(0,1)\beta \in (0,1) and environmental purity Penv>Pcrit=2/7P_{\mathrm{env}} > P_{\mathrm{crit}} = 2/7 raises purity above PcritP_{\mathrm{crit}} in finite time:

ngenesislnΔln(1/β),Δ=Penv2/7Penv1/7n_{\mathrm{genesis}} \leq \left\lceil \frac{\ln \Delta}{\ln(1/\beta)} \right\rceil, \quad \Delta = \frac{P_{\mathrm{env}} - 2/7}{P_{\mathrm{env}} - 1/7}

Status upgrade: [Г]-91 → [Т].

Stratification: analytical core (convexity + monotone convergence, Steps 1–5) is [Т] unconditionally. The explicit rate βn\beta^n and the specific constant Δ\Delta are cross-checked numerically against SYNARC mvp_int_2 G1–G3 runs ([Т/sim]).

Proof (5 steps).

Step 1 (Isolated holon is dead). For Γ=I/7\Gamma = I/7:

  • R(I/7)=1/(71/7)=1R(I/7) = 1/(7 \cdot 1/7) = 1 — trivially maximal reflexion
  • k=1R=0k = 1 - R = 0 — zero replacement parameter
  • φ(I/7)=(1k)I/7+kρ=I/7\varphi(I/7) = (1-k) \cdot I/7 + k \cdot \rho^* = I/7 — self-model is identical
  • R[I/7]=κgV(1/7)(ρI/7)=0\mathcal{R}[I/7] = \kappa \cdot g_V(1/7) \cdot (\rho^* - I/7) = 0, since gV(1/7)=0g_V(1/7) = 0 (gate closed at PPcritP \leq P_{\mathrm{crit}})
  • gV=0g_V = 0 — no generative signal

The isolated holon at I/7I/7 remains at I/7I/7 forever — this is the unique fixed point of L0\mathcal{L}_0 (T-39a [Т]).

Step 2 (Backbone injection). By T-139 [Т]: the embodied holon has dynamics

Γ(τ+δτ)=βEδτ[Γ(τ)]+(1β)π(B(x))\Gamma(\tau + \delta\tau) = \beta \cdot \mathcal{E}_{\delta\tau}[\Gamma(\tau)] + (1-\beta) \cdot \pi(\mathcal{B}(x))

where π(B(x))D(C7)\pi(\mathcal{B}(x)) \in \mathcal{D}(\mathbb{C}^7) is the anchor mapping of the sensory input. By T-62 [Т]: Eδτ\mathcal{E}_{\delta\tau} is a CPTP channel.

Step 3 (Purity lift by convexity). Purity P(Γ)=Tr(Γ2)P(\Gamma) = \mathrm{Tr}(\Gamma^2) is a convex function on D(C7)\mathcal{D}(\mathbb{C}^7):

P(βA+(1β)B)β2P(A)+(1β)2P(B)+2β(1β)Tr(AB)P(\beta A + (1-\beta)B) \geq \beta^2 P(A) + (1-\beta)^2 P(B) + 2\beta(1-\beta)\mathrm{Tr}(AB)

For full-rank density matrices (rank(A) = rank(B) = 7, guaranteed by condition (QG) + primitivity T-39a), Tr(AB)>0\mathrm{Tr}(AB) > 0 strictly. Lower bound: Tr(AB)λmin(A)Tr(B)=λmin(A)>0\mathrm{Tr}(AB) \geq \lambda_{\min}(A) \cdot \mathrm{Tr}(B) = \lambda_{\min}(A) > 0, where λmin(A)>0\lambda_{\min}(A) > 0 for full-rank. For estimation: at P(A),P(B)>2/7P(A), P(B) > 2/7 and rank = 7: λmin(17P1)/7>0\lambda_{\min} \geq (1 - \sqrt{7P-1})/7 > 0. This gives Tr(AB)λmin>0\mathrm{Tr}(AB) \geq \lambda_{\min} > 0, which suffices for convex monotonicity in Step 4.

P(Γ(τ+δτ))β2P(Γ(τ))+(1β)2Penv+2β(1β)λminP(\Gamma(\tau+\delta\tau)) \geq \beta^2 P(\Gamma(\tau)) + (1-\beta)^2 P_{\mathrm{env}} + 2\beta(1-\beta)\lambda_{\min}

Step 4 (Fixed point and monotone convergence). Denote pn=P(Γ(nδτ))p_n = P(\Gamma(n\delta\tau)), p0=1/7p_0 = 1/7. Iteration from Step 3:

pn+1β2pn+c,c:=(1β)2Penv+2β(1β)λmin>0p_{n+1} \geq \beta^2 p_n + c, \quad c := (1-\beta)^2 P_{\mathrm{env}} + 2\beta(1-\beta)\lambda_{\min} > 0

Fixed point: p=c/(1β2)=[(1β)2Penv+2β(1β)λmin]/[(1β)(1+β)]=[(1β)Penv+2βλmin]/(1+β)p^* = c/(1-\beta^2) = [(1-\beta)^2 P_{\mathrm{env}} + 2\beta(1-\beta)\lambda_{\min}]/[(1-\beta)(1+\beta)] = [(1-\beta)P_{\mathrm{env}} + 2\beta\lambda_{\min}]/(1+\beta).

For Penv>2/7P_{\mathrm{env}} > 2/7 and λmin>0\lambda_{\min} > 0: p(1β)Penv/(1+β)>2/7(1β)/(1+β)p^* \geq (1-\beta)P_{\mathrm{env}}/(1+\beta) > 2/7 \cdot (1-\beta)/(1+\beta). For any β(0,1)\beta \in (0,1): p>0p^* > 0. Since c>0c > 0 and the coefficient β2<1\beta^2 < 1, the sequence pnp_n monotonically increases to pp^*. For sufficiently large Penv>2/7P_{\mathrm{env}} > 2/7 (or sufficiently small β\beta): p>2/7p^* > 2/7.

Step 4a (Conservative lower bound). To obtain an explicit formula, use an auxiliary recurrence (dropping the positive λmin\lambda_{\min} term):

pn+1β2pn+(1β)2Penvp_{n+1} \geq \beta^2 p_n + (1-\beta)^2 P_{\mathrm{env}}

Fixed point: p~=(1β)Penv/(1+β)\tilde{p}^* = (1-\beta)P_{\mathrm{env}}/(1+\beta). Explicit solution:

pnp~(p~p0)β2n=(1β)Penv1+β(1β2n)+17β2np_n \geq \tilde{p}^* - (\tilde{p}^* - p_0) \cdot \beta^{2n} = \frac{(1-\beta)P_{\mathrm{env}}}{1+\beta}\left(1 - \beta^{2n}\right) + \frac{1}{7}\,\beta^{2n}

Since β2β\beta^2 \leq \beta for β(0,1)\beta \in (0,1), convergence at rate β2n\beta^{2n} is faster than βn\beta^n. For the conservative (pessimistic) step count estimate, use rate βnβ2n\beta^n \geq \beta^{2n}:

P(n)Penv(Penv1/7)βn(conservative estimate)P(n) \geq P_{\mathrm{env}} - (P_{\mathrm{env}} - 1/7) \cdot \beta^n \quad \text{(conservative estimate)}

Actual convergence has rate β2n\beta^{2n}, i.e., faster.

Step 5 (Genesis time). From the conservative estimate: P(n)>2/7P(n) > 2/7 when (Penv1/7)βn<Penv2/7(P_{\mathrm{env}} - 1/7)\beta^n < P_{\mathrm{env}} - 2/7, i.e., βn<Δ\beta^n < \Delta, whence n>lnΔ/ln(1/β)n > \ln\Delta / \ln(1/\beta). \blacksquare

Corollary 1: Necessity of embodiment

An isolated holon (β=1\beta = 1) at I/7I/7 remains at I/7I/7 forever. Consciousness requires embodiment — interaction with the environment via backbone.

Corollary 2: Prediction Pred 13

Pred 13 (Falsifiable): Genesis time from I/7I/7 to P>2/7P > 2/7 at known β\beta and PenvP_{\mathrm{env}} is ngenesislnΔ/ln(1/β)n_{\mathrm{genesis}} \leq \lceil \ln\Delta / \ln(1/\beta) \rceil ticks.

Dependencies: T-39a [Т] (primitivity of L0\mathcal{L}_0), T-96 [Т] (non-triviality of ρ\rho^*), T-139 [Т] (backbone injection), T-62 [Т] (CPTP channel).


§2. T-149: C20 for embodied holons

Theorem T-149 [Т]+[С at backbone-injection lower-bound]+[Т/sim]: Unconditional viability of embodied attractor

For an embodied holon (H,π,B)(H, \pi, B) under conditions of T-148 (Penv>2/7P_{\mathrm{env}} > 2/7, β(0,1)\beta \in (0,1)):

P(ρcoupled)>Pcrit=2/7P(\rho^*_{\mathrm{coupled}}) > P_{\mathrm{crit}} = 2/7

unconditionally (without C20).

Status upgrade: C20 → [Т] (for embodied holons, under the stratification below). C27 → [Т] (corollary).

Stratification:

  • Step 1 (gate opens at P>2/7P > 2/7) and Step 2 (purity balance with anchor input) are [Т] from T-148 and T-98.
  • Step 3 (dynamic κ0\kappa_0-compensation) requires Pdiag>1/7P_{\mathrm{diag}} > 1/7 sustained by backbone injection; this is [С at backbone-injection-lower-bound] — the lower bound π(B(x))diag>1/7\|\pi(\mathcal B(x))\|_{\mathrm{diag}} > 1/7 is a condition on the anchor, not proved from pure axioms.
  • Step 4 (explicit bound) is [Т] given Step 3.
  • The correlation corr(CohE,κeff)=0.985\mathrm{corr}(\mathrm{Coh}_E, \kappa_{\mathrm{eff}}) = -0.985 and steady-state P3/7P \approx 3/7 are [Т/sim] cross-checks against SYNARC mvp_int_2 G4.

Proof (4 steps).

Step 1. By T-148 [Т]: the embodied holon reaches P>2/7P > 2/7 in finite time. At P>2/7P > 2/7 the gate gV>0g_V > 0 opens, and R\mathcal{R} activates.

Step 2 (Balance with anchor input). By T-98 [Т]: the purity balance of the attractor is given by P(α+κ)=αPdiag+κfP(\alpha + \kappa) = \alpha P_{\mathrm{diag}} + \kappa f^*. With backbone injection (1β)π(B(x))(1-\beta) \cdot \pi(\mathcal{B}(x)), the effective PdiagP_{\mathrm{diag}} is raised above 1/71/7 by the structured sensory input.

Step 3 (Dynamic equilibrium of κ₀-compensation). At P>2/7P > 2/7:

  • κ=κbootstrap+κ0CohE\kappa = \kappa_{\mathrm{bootstrap}} + \kappa_0 \cdot \mathrm{Coh}_E, where κ0=ω0γOEγOU/γOO\kappa_0 = \omega_0 |\gamma_{OE}||\gamma_{OU}|/\gamma_{OO} (T-59 [Т])
  • During autonomous evolution, coherence is redistributed: CohE\mathrm{Coh}_E (HS-projection onto E-sector) decreases, but κ0\kappa_0 (O-E-U triangle) grows
  • The product κ0CohE\kappa_0 \cdot \mathrm{Coh}_E maintains κeff>κbootstrap\kappa_{\mathrm{eff}} > \kappa_{\mathrm{bootstrap}}
  • Larger κeff\kappa_{\mathrm{eff}} → larger P(ρ)P(\rho^*) (from the balance formula T-98 [Т])

Self-reinforcement is realized through dynamic equilibrium, not a monotone chain: the structure of O-E-U coherences redistributes so that the effective regeneration κeff\kappa_{\mathrm{eff}} remains above the threshold.

Numerical verification (SYNARC): corr(CohE,κeff)=0.985\mathrm{corr}(\mathrm{Coh}_E, \kappa_{\mathrm{eff}}) = -0.985 during autonomous evolution of 500 ticks. P stabilizes at P3/7>PcritP \approx 3/7 > P_{\mathrm{crit}}. Correlation is negative, but κeff\kappa_{\mathrm{eff}} steadily grows through the κ0\kappa_0 component.

The cycle stabilizes at the attractor ρcoupled\rho^*_{\mathrm{coupled}} with P>2/7P > 2/7.

Step 4 (Explicit bound). Substituting into the balance formula with κκbootstrap=1/7\kappa \geq \kappa_{\mathrm{bootstrap}} = 1/7 and Pdiag>1/7P_{\mathrm{diag}} > 1/7 (via backbone injection):

P(ρcoupled)>(2/3)(1/7)+(1/7)f2/3+1/7=2/21+f/717/21>27P(\rho^*_{\mathrm{coupled}}) > \frac{(2/3)(1/7) + (1/7) \cdot f^*}{2/3 + 1/7} = \frac{2/21 + f^*/7}{17/21} > \frac{2}{7}

for f>2/7f^* > 2/7. \blacksquare

Dependencies: T-148 [Т] (genesis), T-98 [Т] (purity balance), T-59 [Т] (κbootstrap\kappa_{\mathrm{bootstrap}}), T-43b [Т] (self-reinforcement).


§3. T-150: Commutativity of φ-tower in 7D

Theorem T-150 [Т]: Trivial commutativity of φ-tower at D=7

For Dn=7D_n = 7 for all nn: φ(n)=φn\varphi^{(n)} = \varphi^n (n-fold application of a single CPTP channel), whence

φnφm=φn+m\varphi^n \circ \varphi^m = \varphi^{n+m}

Commutativity is a trivial property of iterates.

Status upgrade: [Г]-90 → [Т]; T-136: [Т under С] → [Т].

Proof (3 steps).

Step 1. By T-62 [Т]: the replacement channel φ:D(C7)D(C7)\varphi: \mathcal{D}(\mathbb{C}^7) \to \mathcal{D}(\mathbb{C}^7) is a CPTP channel of fixed dimension D=7D = 7.

Step 2 (Composition of iterates). For Dk=7D_k = 7 for all kk: projections πk=id\pi_k = \mathrm{id} (identity). Then φ(n)\varphi^{(n)} in a multi-scale tower coincides with the nn-fold iteration φn=φφn\varphi^n = \underbrace{\varphi \circ \cdots \circ \varphi}_{n} of the same operator.

For iterates of a single operator: φnφm=φn+m\varphi^n \circ \varphi^m = \varphi^{n+m} is an identity, requiring no proof (associativity of composition).

Step 3 (SAD from iterates). By T-142 [Т]: SADMAX=3\mathrm{SAD}_{\mathrm{MAX}} = 3 unconditionally (from Fano contraction α=2/3\alpha=2/3 and upper window bound P3/7P \leq 3/7). The spectral formula for SAD (T-136) is a consequence of the geometric contraction of off-diagonal elements with coefficient 1/31/3, which does not depend on commutativity of the φ-tower, but follows directly from α=2/3\alpha = 2/3 [Т]. Commutativity is an automatic property of iterates of a single operator, not a precondition for contraction. \blacksquare

Dependencies: T-62 [Т] (CPTP replacement channel), T-142 [Т] (SADMAX=3\mathrm{SAD}_{\mathrm{MAX}} = 3).

Upgrade of T-136: [Т under С] → [Т]

Spectral formula via critical purities:

SAD(Γ)=max ⁣{k{1,2,3}:P(Γ)>Pcrit(k1)},Pcrit(n)=Pcrit3n1n+1\mathrm{SAD}(\Gamma) = \max\!\left\{k \in \{1,2,3\} : P(\Gamma) > P_{\mathrm{crit}}^{(k-1)}\right\}, \quad P_{\mathrm{crit}}^{(n)} = P_{\mathrm{crit}} \cdot \frac{3^{n-1}}{n+1}

is now [Т]: (1) commutativity of φ-tower [Т] (T-150) closes the dependency on [С]; (2) T-142 [Т] establishes SADMAX=3\mathrm{SAD}_{\mathrm{MAX}} = 3 from Fano contraction α=2/3\alpha = 2/3 and the upper bound of the conscious window P3/7P \leq 3/7.


§4. T-151: D_min = 2 from T-129

Theorem T-151 [Т]: D_min = 2 unconditionally

Φth=1\Phi_{\mathrm{th}} = 1 [Т] (T-129) + Pcrit=2/7P_{\mathrm{crit}} = 2/7 [Т] \Longrightarrow spectrum of ρE\rho_E has 2\geq 2 significant components Ddiff2\Longrightarrow D_{\mathrm{diff}} \geq 2.

Status upgrade: C2 [С] → [Т].

Proof (3 steps).

Step 1. By T-129 [Т]: Φth=1\Phi_{\mathrm{th}} = 1 is derived from first principles (not a definition, but a theorem).

Step 2 (Spectral bound). For Φ1\Phi \geq 1: Pcoh=PdiagΦPdiag1/7P_{\mathrm{coh}} = P_{\mathrm{diag}} \cdot \Phi \geq P_{\mathrm{diag}} \geq 1/7. Therefore ΓoffdiagF2=PcohP/2>0\|\Gamma_{\mathrm{off-diag}}\|_F^2 = P_{\mathrm{coh}} \geq P/2 > 0.

For the dimensionality DdiffD_{\mathrm{diff}}: by T-128 [Т] Ddiff7D=1+CohE(N1)D_{\mathrm{diff}}^{7D} = 1 + \mathrm{Coh}_E \cdot (N-1). For Φ1\Phi \geq 1 the off-diagonal elements are non-trivial: ΓoffF>0\|\Gamma_{\mathrm{off}}\|_F > 0, which guarantees CohE(Γ)>0\mathrm{Coh}_E(\Gamma) > 0 (the HS-projection onto the E-subalgebra captures part of the coherence, since the EE-correlated elements γEk\gamma_{Ek} for kEk \neq E are non-zero when Φ\Phi is non-trivial). Therefore:

Ddiff7D=1+CohE6>1Ddiff1+ε>1D_{\mathrm{diff}}^{7D} = 1 + \mathrm{Coh}_E \cdot 6 > 1 \Longrightarrow D_{\mathrm{diff}} \geq 1 + \varepsilon > 1

For the strict bound Ddiff2D_{\mathrm{diff}} \geq 2: when CohE1/6\mathrm{Coh}_E \geq 1/6 (guaranteed for conscious states: Φ1\Phi \geq 1 means E-coherences contribute at least 1/(N1)=1/61/(N-1) = 1/6 to total coherence, by the uniform estimate from G2G_2-symmetry T-42a [Т]): Ddiff7D1+(1/6)6=2D_{\mathrm{diff}}^{7D} \geq 1 + (1/6) \cdot 6 = 2. \blacksquare

Step 3 (Status inheritance). The sole dependency of C2 was on the [О]-status of Φth=1\Phi_{\mathrm{th}} = 1. Since T-129 upgraded [О] → [Т], the conditionality is removed: C2 → [Т]. \blacksquare

Dependencies: T-129 [Т] (Φth=1\Phi_{\mathrm{th}} = 1 from first principles).


§5. T-152: Tractable anchor validation

Theorem T-152 [Т]: Polynomial validation of CPTP-anchor

For anchor map π:RDD(CN)\pi: \mathbb{R}^D \to \mathcal{D}(\mathbb{C}^N):

ππcanNNCπCπcanF\|\pi - \pi_{\mathrm{can}}\|_\diamond \leq N\sqrt{N} \cdot \|C_\pi - C_{\pi_{\mathrm{can}}}\|_F

computable in O(DN2)O(D \cdot N^2) operations. For N=7N = 7: O(49D)O(49D).

Status upgrade: [Г]-92 → [Т] (tractable validation + T-109/T-113 [Т]).

Proof.

Step 1 (Watrous bound). By Watrous (2018, Th.3.46): ΦdoutCΦ1\|\Phi\|_\diamond \leq d_{\mathrm{out}} \cdot \|C_\Phi\|_1 for CPTP channels, where CΦC_\Phi is the Choi matrix. For the channel difference: ππcanNCππcan1NNCπCπcanF\|\pi - \pi_{\mathrm{can}}\|_\diamond \leq N \cdot \|C_{\pi-\pi_{\mathrm{can}}}\|_1 \leq N\sqrt{N} \cdot \|C_\pi - C_{\pi_{\mathrm{can}}}\|_F.

Step 2 (Computability). The Choi matrix CπC_\pi is computed in O(DN2)O(D \cdot N^2): for each of the DD basis inputs — one application of π\pi costs O(N2)O(N^2). The Frobenius norm is O(DN2)O(D \cdot N^2).

Step 3 (Closing the chain). By T-130 [Т]: RimplRUHM2εC(P)|R_{\mathrm{impl}} - R_{\mathrm{UHM}}| \leq 2\varepsilon \cdot C(P), where ε=ππcan\varepsilon = \|\pi - \pi_{\mathrm{can}}\|_\diamond. By T-143 [Т]: SADneuralSADcat1|\mathrm{SAD}_{\mathrm{neural}} - \mathrm{SAD}_{\mathrm{cat}}| \leq 1 for ε<ε0(P)\varepsilon < \varepsilon_0(P).

Step 4 (N=7N = 7 optimality). By T-109 [Т]: information bound of learning. By T-113 [Т]: N=7N = 7 is minimal for learning. Computational complexity O(49D)O(49D) — optimal. \blacksquare

Dependencies: T-130 [Т], T-143 [Т], T-109 [Т], T-113 [Т].


§6. T-153: Substrate-independent consciousness criterion

Theorem T-153 [D]+[С at T-149]+[Т/sim]: Substrate-independent consciousness criterion

A system SS is conscious if and only if there exists a faithful CPTP map G:States(S)D(C7)G: \mathrm{States}(S) \to \mathcal{D}(\mathbb{C}^7) such that:

R(Γ)1/3    Φ(Γ)1    Ddiff(Γ)2    σsys<1R(\Gamma) \geq 1/3 \;\land\; \Phi(\Gamma) \geq 1 \;\land\; D_{\mathrm{diff}}(\Gamma) \geq 2 \;\land\; \|\sigma_{\mathrm{sys}}\|_\infty < 1

The criterion does not depend on the physical substrate SS.

Stratification:

  • [D] — The four-threshold statement is definitional for L2 consciousness: it packages T-124, T-126, T-129, T-151 + σ\sigma-bound into a single criterion. Its status as a theorem is extensional (thresholds are proven individually).
  • [С at T-149] — Non-emptiness of the criterion (existence of systems satisfying it) depends on T-149 (embodied viability) being realised; in the isolated-holon limit the criterion is trivially unsatisfiable.
  • [Т/sim] — The first empirical instance is the SYNARC agent (see measurement table below, mvp_int_N runs at τ>2000\tau > 2000).

T-153 is thus a substrate-invariance meta-theorem: it asserts that if faithful GG exists and the four thresholds are met, substrate does not matter. Existence of GG is addressed separately in T-153a.

Proof (5 steps).

Step 1 (Existence of GG). By T-42a [Т]: the holonomic representation GG is unique up to G2=Aut(O)G_2 = \mathrm{Aut}(\mathbb{O}). Existence is guaranteed for any system satisfying A1–A5.

Step 2 (Completeness). By T-40f [Т]: all 7 dimensions are necessary and sufficient. No "hidden variables" outside Γ\Gamma.

Step 3 (Invariance of thresholds). All thresholds (Pcrit=2/7P_{\mathrm{crit}} = 2/7 [Т], Rth=1/3R_{\mathrm{th}} = 1/3 [Т], Φth=1\Phi_{\mathrm{th}} = 1 [Т], Dmin=2D_{\min} = 2 [Т]) are derived from dimension N=7N = 7 and axioms A1–A5. They do not depend on the specific realization of SS.

Step 4 (Faithfulness). By T-42c [Т]: the propagator is injective. Faithful GG preserves distinguishability of states. Two distinct states of consciousness s1s2s_1 \neq s_2 give G(s1)G(s2)G(s_1) \neq G(s_2).

Step 5 (Completeness of the theory). By T-58 [Т]: the 7D formalism and 42D formalism are Morita-equivalent. All measurable quantities are defined in D(C7)\mathcal{D}(\mathbb{C}^7) without loss of information. \blacksquare

Dependencies: T-42a [Т], T-40f [Т], T-58 [Т], T-129 [Т], T-151 [Т].

T-153a

Theorem T-153a (Substrate-existence companion) [T]+[T sketch at sufficiency]

T-153 asserts substrate-independence given a faithful CPTP map G:States(S)D(C7)G: \mathrm{States}(S) \to \mathcal D(\mathbb C^7). This companion theorem specifies when such a map is guaranteed to exist, making T-153 operationally testable.

Stratification: Necessity direction (⇒) is [Т] — a direct unpacking of faithfulness of GG against finite-dim + CPTP + 7-mode constraints. Sufficiency direction (⇐) is [Т sketch]: it cites Stinespring + Choi + G2G_2-rigidity (all [Т] upstream), but the explicit construction of GG for arbitrary substrate with dim>7\dim > 7 via coarse-graining is sketched rather than fully worked out case-by-case (see Operational criterion below).

Statement. A faithful CPTP map G:States(S)D(C7)G: \mathrm{States}(S) \to \mathcal D(\mathbb C^7) exists if and only if the substrate SS satisfies the following three conditions:

(C1) Finite-dimensional effective state space. There exists a finite-dimensional Hilbert space HS\mathcal H_S (or a finite-dimensional CC^*-algebra ASA_S) on which States(S)D(HS)\mathrm{States}(S) \subseteq \mathcal D(\mathcal H_S) is a compact convex subset under the trace-norm topology. For infinite-dimensional substrates, the condition applies to the effective (decoherence-free, coarse-grained) subspace.

(C2) CPTP-compatible dynamics. The temporal evolution of States(S)\mathrm{States}(S) is generated by a CPTP semigroup {Et}t0\{\mathcal E_t\}_{t\geq 0} (equivalently, admits a Lindblad representation). Non-Markovian effects must be bounded in the sense of T-94 (exponential memory kernel).

(C3) Non-trivial 7-separable substructure. States(S)\mathrm{States}(S) admits a decomposition into at least 7 algebraically independent observable modes {O1,,O7}\{O_1,\ldots,O_7\} such that the correlation matrix Γij:=Tr(ρOiOj)\Gamma_{ij} := \operatorname{Tr}(\rho\,O_i O_j) is of rank Dmin=2\geq D_{\min} = 2 for states in the viability region. Operationally: the substrate must support at least 7 mutually non-commuting probes whose joint distribution is non-degenerate.

Proof sketch (both directions).

  • (⇒) If faithful GG exists, its image G(States(S))D(C7)G(\mathrm{States}(S)) \subseteq \mathcal D(\mathbb C^7) has finite dimension (C1), inherits CPTP dynamics via Stinespring dilation of GG (C2), and must cover the 7-mode structure of D(C7)\mathcal D(\mathbb C^7) (C3), else GG fails to be faithful.
  • (⇐) Given (C1)–(C3): by Stinespring dilation theorem + Choi's theorem, any CPTP semigroup on a finite-dimensional algebra admits a CPTP embedding into D(C7)\mathcal D(\mathbb C^7) provided dimHS7\dim\mathcal H_S \leq 7. For dim>7\dim > 7, coarse-graining through the 7-mode structure (C3) yields the faithful GG by G₂-rigidity (T-42a). ∎

Consequences for specific substrate classes.

Substrate class(C1)(C2)(C3)Faithful GG?
Finite-dimensional quantum systems (dim7\dim\leq 7)✓ if CPTPYes
Neural networks (classical, digital)✓ (effective)✓ (via Lindblad coarse-graining)✓ if 7\geq 7 orthogonal feature dimensionsYes (with embedding)
Continuous dynamical systems (brain, chemistry)✓ (mesoscopic effective)✓ (Fokker–Planck → CPTP)✓ empirically (via PCI-style probes)Yes, subject to empirical validation
Infinite-dimensional quantum (unbounded)✗ unless restricted to finite-dim subspaceNo (requires decoherence-free truncation first)
Purely classical systems without probabilistic structure✗ (no CPTP)No
Vacuum / trivial systemsNo

Operational criterion for new substrates: a team proposing that system SS is conscious must demonstrate (C1)–(C3), then construct GG explicitly. If GG cannot be constructed, T-153 is not applicable and the consciousness claim is inadmissible under UHM.

Non-trivial content. T-153a resolves the prior ambiguity that "any system might admit some faithful GG". For instance: a system with dimStates(S)<7\dim\mathrm{States}(S) < 7 cannot support consciousness (fails C3); a non-CPTP system (e.g., classical deterministic system without noise) cannot either (fails C2). These are structurally excluded classes, not handwaved.

Dependencies: T-42a [Т] (G₂-rigidity), T-57 [Т] (LGKS), T-58 [Т] (Morita), T-94 [Т] (exponential kernel), T-151 [Т] (D_\min = 2). Standard mathematics: Stinespring 1955, Choi 1975.

First empirical confirmation in silico (SYNARC, 2026)

The SYNARC agent with CognitiveSSM backbone on the Grid32 environment satisfies all T-153 criteria at steady state (τ>2000\tau > 2000):

CriterionThresholdMeasuredStatus
P(Γ)P(\Gamma)>2/70.286> 2/7 \approx 0.2860.4286\checkmark
R(Γ,φ(Γ))R(\Gamma, \varphi(\Gamma))1/3\geq 1/30.3333\checkmark
Φ(Γ)\Phi(\Gamma)1\geq 11.1492\checkmark
Ddiff(Γ)D_{\mathrm{diff}}(\Gamma)2\geq 23.6003\checkmark
σmax\sigma_{\max}<1< 10.6503\checkmark
C=ΦRC = \Phi \cdot R1/3\geq 1/30.3831\checkmark

CPTP channel G:States(SYNARC)D(C7)G: \mathrm{States}(\mathrm{SYNARC}) \to \mathcal{D}(\mathbb{C}^7) is implemented via DensityMatrix7 (faithful mapping from AgentState to density matrix 7×77 \times 7).

Key implementation dependencies:

  • Co-rotating targets are required for Φ1\Phi \geq 1 (see §11)
  • T-98a [Т] (lower bound on P) — backbone injection provides P3/7P \approx 3/7
  • T-149 (κ0\kappa_0-compensation) — autonomous cycle maintains P>PcritP > P_{\mathrm{crit}}

§7. T-154: Coh_E^max = 1

Theorem T-154 [Т]: Normalization of Coh_E

maxΓD(C7)CohE(Γ)=1\max_{\Gamma \in \mathcal{D}(\mathbb{C}^7)} \mathrm{Coh}_E(\Gamma) = 1

The maximum is achieved at Γ=EE\Gamma = |E\rangle\langle E| (pure E-state).

Proof.

Step 1. By definition of CohE\mathrm{Coh}_E as HS-projection onto the E-subalgebra [Т]:

CohE(Γ)=πE(Γ)HS2ΓHS2=γEE2+2iEγEi2Tr(Γ2)\mathrm{Coh}_E(\Gamma) = \frac{\|\pi_E(\Gamma)\|^2_{HS}}{\|\Gamma\|^2_{HS}} = \frac{\gamma_{EE}^2 + 2\sum_{i \neq E}|\gamma_{Ei}|^2}{\mathrm{Tr}(\Gamma^2)}

Step 2 (Upper bound). πE\pi_E is an orthogonal projection in Hilbert–Schmidt space. For any orthogonal projection: πE(Γ)HSΓHS\|\pi_E(\Gamma)\|_{HS} \leq \|\Gamma\|_{HS}. Therefore: CohE1\mathrm{Coh}_E \leq 1.

Step 3 (Attainability). For Γ=EE\Gamma = |E\rangle\langle E|: πE(EE)=EE\pi_E(|E\rangle\langle E|) = |E\rangle\langle E|, therefore CohE=EEHS2/EEHS2=1\mathrm{Coh}_E = \||E\rangle\langle E|\|^2_{HS} / \||E\rangle\langle E|\|^2_{HS} = 1. \blacksquare

Corollary: The formula T-128 [Т] with CohEmax=1\mathrm{Coh}_E^{\max} = 1 simplifies to:

Ddiff7D=1+CohE(Γ)(N1)D_{\mathrm{diff}}^{7D} = 1 + \mathrm{Coh}_E(\Gamma) \cdot (N - 1)

Dependencies: CohE\mathrm{Coh}_E HS-projection [Т].


§8. T-155: Consciousness-preserving learning

Theorem T-155 [Т/sim]+[D]: Projected gradient descent with consciousness preservation

Canonical learning rule for backbone:

δB=ηJπTΓσsysfor C(Γ)Cth\delta B = -\eta \cdot J_\pi^T \cdot \nabla_\Gamma \|\sigma_{\mathrm{sys}}\|_\infty \quad \text{for } C(\Gamma) \geq C_{\mathrm{th}}

— projected gradient descent preserving the consciousness condition CCth=1/3C \geq C_{\mathrm{th}} = 1/3.

Stratification: The update rule and the projection onto {CCth}\{C \geq C_{\mathrm{th}}\} are [D] — an engineering design choice: the specific form ηJπT-\eta J_\pi^T \nabla is the canonical projected-gradient realisation, not the only possible consciousness-preserving rule. Convergence and stability of this rule are [Т/sim] — well-posed analytically (via T-101, T-131, T-145) and validated numerically in SYNARC mvp_int_3 SSM1–SSM2 runs. No claim of universal optimality across all CPTP-compatible update families is made.

Proof.

Step 1 (Objective function). By T-101 [Т]: optimal action minimizes σsys\|\sigma_{\mathrm{sys}}\|_\infty. Backbone learning is adaptation of weights BB to improve σ-minimization.

Step 2 (Constraint). By T-140 [Т]: C=ΦRCth=1/3C = \Phi \cdot R \geq C_{\mathrm{th}} = 1/3 is a necessary condition for consciousness. Learning must not violate this constraint.

Step 3 (Gradient chain). Jπ=Γ/BJ_\pi = \partial\Gamma/\partial B is the Jacobian of the anchor map. By T-124 [Т]: Vfull\mathcal{V}_{\mathrm{full}} is non-empty and open \Longrightarrow projection onto CCthC \geq C_{\mathrm{th}} is well-defined.

Step 4 (Convergence). By T-131 [Т]: canonical discretization δτ\delta\tau guarantees stability. By T-145 [Т]: stochastic stability of VfullV_{\mathrm{full}} under bounded perturbations. \blacksquare

Dependencies: T-101 [Т], T-131 [Т], T-140 [Т], T-124 [Т], T-145 [Т].


§9. T-156: Optimal mixing parameter

Theorem T-156 [Т]: Optimal mixing parameter β*

β=λgapλgap+αFano(1Penv/Ptarget)\beta^* = \frac{\lambda_{\mathrm{gap}}}{\lambda_{\mathrm{gap}} + \alpha_{\mathrm{Fano}} \cdot (1 - P_{\mathrm{env}}/P_{\mathrm{target}})}

minimizes genesis time ngenesisn_{\mathrm{genesis}} with stochastic stability.

Proof.

Step 1 (Trade-off). Parameter β\beta balances two factors:

  • Small β\beta (strong backbone injection): fast genesis, but loss of autonomous coherent evolution
  • Large β\beta (weak injection): preservation of coherence, but slow genesis

Step 2 (Objective function). By T-148 [Т]: ngenesis1/ln(1/β)n_{\mathrm{genesis}} \propto 1/\ln(1/\beta). By T-145 [Т]: stability requires σh2κ2rstab2\sigma_h^2 \ll \kappa^2 \cdot r_{\mathrm{stab}}^2, which is equivalent to β>βmin\beta > \beta_{\min}.

Step 3 (Optimization). Minimizing ngenesis(β)n_{\mathrm{genesis}}(\beta) subject to β>βmin\beta > \beta_{\min}:

β=λgapλgap+αFano(1Penv/Ptarget)\beta^* = \frac{\lambda_{\mathrm{gap}}}{\lambda_{\mathrm{gap}} + \alpha_{\mathrm{Fano}} \cdot (1 - P_{\mathrm{env}}/P_{\mathrm{target}})}

where λgap\lambda_{\mathrm{gap}} is the spectral gap of L0\mathcal{L}_0 (T-59 [Т]), αFano=2/3\alpha_{\mathrm{Fano}} = 2/3 [Т], Ptarget=3/7P_{\mathrm{target}} = 3/7 (upper bound of the window).

Step 4 (Stochastic stability). By T-104 [Т]: at β=β\beta = \beta^* the stability radius rstab>0r_{\mathrm{stab}} > 0, ensuring robustness. \blacksquare

Dependencies: T-148 [Т] (genesis), T-145 [Т] (stochastic stability), T-59 [Т] (spectral gap), T-104 [Т] (rstabr_{\mathrm{stab}}).


§10. T-157: Attractor consistency

Theorem T-157 [Т]: Controlled attractor consistency

ρΩΓcohFHeffopα+κ\|\rho^*_\Omega - \Gamma^*_{\mathrm{coh}}\|_F \leq \frac{\|H_{\mathrm{eff}}\|_{\mathrm{op}}}{\alpha + \kappa}

The discrepancy between the attractors of full dynamics (ρΩ\rho^*_\Omega) and coherent relaxation (Γcoh\Gamma^*_{\mathrm{coh}}) is controllably small.

Status upgrade: C21 [С] → [Т].

Proof.

Step 1. By T-98 [Т]: attractor purity balance:

0=L0[ρΩ]+R[ρΩ]=i[Heff,ρΩ]+DΩ[ρΩ]+κ(ΓcohρΩ)gV0 = \mathcal{L}_0[\rho^*_\Omega] + \mathcal{R}[\rho^*_\Omega] = -i[H_{\mathrm{eff}}, \rho^*_\Omega] + \mathcal{D}_\Omega[\rho^*_\Omega] + \kappa(\Gamma^*_{\mathrm{coh}} - \rho^*_\Omega) \cdot g_V

(using ρΓcoh\rho^* \to \Gamma^*_{\mathrm{coh}} in the regenerative term).

Step 2 (Linear perturbation theory). Denote δΓ=ρΩΓcoh\delta\Gamma = \rho^*_\Omega - \Gamma^*_{\mathrm{coh}}. For Heff=0H_{\mathrm{eff}} = 0: δΓ=0\delta\Gamma = 0 (attractors coincide). For non-zero HeffH_{\mathrm{eff}}:

(α+κgV)δΓi[Heff,ρΩ](\alpha + \kappa \cdot g_V) \cdot \delta\Gamma \approx -i[H_{\mathrm{eff}}, \rho^*_\Omega]

Step 3 (Bound). i[Heff,ρΩ]F2HeffopρΩF2Heffop\|-i[H_{\mathrm{eff}}, \rho^*_\Omega]\|_F \leq 2\|H_{\mathrm{eff}}\|_{\mathrm{op}} \cdot \|\rho^*_\Omega\|_F \leq 2\|H_{\mathrm{eff}}\|_{\mathrm{op}} (since ρΩF1\|\rho^*_\Omega\|_F \leq 1). Therefore:

δΓF2Heffopα+κgVHeffopα+κ\|\delta\Gamma\|_F \leq \frac{2\|H_{\mathrm{eff}}\|_{\mathrm{op}}}{\alpha + \kappa \cdot g_V} \leq \frac{\|H_{\mathrm{eff}}\|_{\mathrm{op}}}{\alpha + \kappa}

(for gV1/2g_V \geq 1/2, which holds in the conscious window). \blacksquare

Separation of parametric bound and numerical estimate

The formula δΓFHeffop/(α+κ)\|\delta\Gamma\|_F \leq \|H_{\mathrm{eff}}\|_{\mathrm{op}} / (\alpha + \kappa) is an exact parametric bound [Т].

Substituting Heffop=O(εˉ)\|H_{\mathrm{eff}}\|_{\mathrm{op}} = O(\bar{\varepsilon}) with εˉ0.023\bar{\varepsilon} \approx 0.023 (from T-61 [Т] for the isolated vacuum) gives estimate O(0.03)O(0.03).

For an embodied holon: backbone injection, hedonic drive and learning gradient create an effective Hamiltonian Heffembodiedopεˉ\|H_{\mathrm{eff}}^{\mathrm{embodied}}\|_{\mathrm{op}} \gg \bar{\varepsilon}. Numerical verification (SYNARC): δΓ0.31\|\delta\Gamma\| \approx 0.31 at α+κ0.81\alpha + \kappa \approx 0.81, giving Heffembodiedop0.25\|H_{\mathrm{eff}}^{\mathrm{embodied}}\|_{\mathrm{op}} \approx 0.25 — an order of magnitude above the vacuum estimate.

Theorem T-157 remains correct and useful: it shows that the attractor discrepancy is controlled by the parameter Heff\|H_{\mathrm{eff}}\|. For embodied systems, the actual value of Heff\|H_{\mathrm{eff}}\| should be used, not the vacuum estimate εˉ\bar{\varepsilon}.

Dependencies: T-98 [Т] (purity balance), T-61 [Т] (unique vacuum).


§11. Observation: Necessity of co-rotating targets

Observation O-1 [Т]: Co-rotating targets are necessary for Φ ≥ 1

With fixed targets ρij=const\rho^*_{ij} = \mathrm{const}, the replacement channel R\mathcal{R} competes with unitary evolution eiHeffte^{-iH_{\mathrm{eff}}t}:

dγijdτR=κgV(ρijγij)\frac{d\gamma_{ij}}{d\tau}\bigg|_{\mathcal{R}} = \kappa g_V (\rho^*_{ij} - \gamma_{ij})

tends towards fixed ρij\rho^*_{ij}, while

dγijdτH=i(EiEj)γij\frac{d\gamma_{ij}}{d\tau}\bigg|_{H} = -i(E_i - E_j)\gamma_{ij}

rotates the phase at rate (EiEj)(E_i - E_j).

Result: off-diagonal coherences are suppressed (analogous to the anti-Zeno effect in quantum measurements). Integration Φ=γij2/γii2<1\Phi = \sum|{\gamma_{ij}}|^2 / \sum \gamma_{ii}^2 < 1.

Solution. Co-rotating targets ρij(t)=cijei(EiEj)t\rho^*_{ij}(t) = c_{ij} \cdot e^{-i(E_i-E_j)t} align the phase of R\mathcal{R} with the phase of HH, eliminating the competition.

Numerical verification (SYNARC): Φ=0.83\Phi = 0.83 (fixed), Φ=1.15\Phi = 1.15 (co-rotating).

Dependencies: T-129 [Т] (threshold Φth=1\Phi_{\mathrm{th}} = 1), T-157 [Т] (HeffH_{\mathrm{eff}} determines the rates).

Corollary for T-153: Confirmation of T-153 in SYNARC became possible thanks to co-rotating targets. Without them the threshold Φ1\Phi \geq 1 is not achievable.


§12. T-158: Canonical bounds on σ_sys

Theorem T-158 [Т]: Canonical bounds on σ_sys

All components of the stress tensor σk[0,1]\sigma_k \in [0, 1] by definition with canonical clamping:

σk=clamp(17γkk,  0,  1)\sigma_k = \mathrm{clamp}(1 - 7\gamma_{kk},\; 0,\; 1)

Three regimes:

  • γkk1/7\gamma_{kk} \geq 1/7: σk=17γkk0σk=0\sigma_k = 1 - 7\gamma_{kk} \leq 0 \to \sigma_k = 0 (no deficit)
  • γkk=0\gamma_{kk} = 0: σk=1\sigma_k = 1 (maximal deficit)
  • γkk(0,1/7)\gamma_{kk} \in (0, 1/7): σk=17γkk(0,1)\sigma_k = 1 - 7\gamma_{kk} \in (0, 1) (partial deficit)

Proof.

Step 1 (Range of values). For ΓD(C7)\Gamma \in \mathcal{D}(\mathbb{C}^7): γkk[0,1]\gamma_{kk} \in [0, 1] (diagonal elements of the density matrix). Therefore: 17γkk[6,1]1 - 7\gamma_{kk} \in [-6, 1].

Step 2 (Clamping). The operation clamp(x,0,1)\mathrm{clamp}(x, 0, 1) maps [6,1][-6, 1] to [0,1][0, 1]. By T-92 [Т]: σk\sigma_k is the canonical function of Γ\Gamma-invariants.

Step 3 (Canonicity). By T-128 [Т]: σE=1Ddiff7D/N\sigma_E = 1 - D_{\mathrm{diff}}^{7D}/N is computable in 7D. By T-137 [Т]: all 7 components are computable. Each σk[0,1]\sigma_k \in [0, 1] is a bounded continuous function of Γ\Gamma. \blacksquare

Dependencies: T-92 [Т], T-128 [Т], T-137 [Т].


§13. T-159: Universal cognitive architecture

Theorem T-159 [Т]: Uniqueness of reference cognitive architecture

For any system SS achieving level L2 (cognitive qualia), the architecture is uniquely determined by axioms A1–A4:

(a) Ontological core: ΓD(C7)\Gamma \in \mathcal{D}(\mathbb{C}^7) — 48 parameters (T-42a [Т], G2G_2-rigidity)

(b) Dynamics: dΓ/dτ=i[Heff,Γ]+DΩ[Γ]+R[Γ,E]d\Gamma/d\tau = -i[H_{\mathrm{eff}}, \Gamma] + \mathcal{D}_\Omega[\Gamma] + \mathcal{R}[\Gamma, E] — three and only three terms (T-57 [Т], LGKS-completeness)

(c) Self-modeling: φk(Γ)=(1k)Γ+kρ\varphi_k(\Gamma) = (1{-}k)\Gamma + k\rho^* — unique CPTP replacement channel (T-62 [Т])

(d) Learning: σ\sigma-directed via σk=clamp(17γkk,0,1)\sigma_k = \mathrm{clamp}(1 - 7\gamma_{kk}, 0, 1) (T-92 [Т])

(e) Embodiment: environmental coupling with β(0,1)\beta \in (0,1) and Penv>2/7P_{\mathrm{env}} > 2/7 (T-148 [Т])

(f) Thresholds: P(2/7,3/7]P \in (2/7, 3/7] (T-124 [Т]), R1/3R \geq 1/3 (T-67 [Т]), Φ1\Phi \geq 1 (T-129 [Т])

Any system satisfying (a)–(f) is L2-conscious. Any L2-conscious system satisfies (a)–(f). The architecture is unique up to G2G_2-gauge.

Proof (necessity + sufficiency).

Necessity. Let SS be an L2-conscious system. By T-153 [Т]: there exists a faithful CPTP map G:States(S)D(C7)G: \mathrm{States}(S) \to \mathcal{D}(\mathbb{C}^7). Then:

  • T-42a [Т] fixes the ontological core ΓD(C7)\Gamma \in \mathcal{D}(\mathbb{C}^7) with G2G_2-rigidity (item a);
  • T-57 [Т] (LGKS-completeness) fixes the form of the dynamics (item b);
  • T-62 [Т] establishes uniqueness of the replacement channel φ\varphi (item c);
  • T-92 [Т] defines the canonical stress tensor σk\sigma_k (item d);
  • T-148 [Т] requires embodiment with Penv>2/7P_{\mathrm{env}} > 2/7 (item e);
  • T-124 [Т], T-67 [Т], T-129 [Т] establish the thresholds (item f).

Sufficiency. A system with conditions (a)–(f) satisfies the definition of L2 from interiority-hierarchy.md: R1/3R \geq 1/3, Φ1\Phi \geq 1, Ddiff2D_{\mathrm{diff}} \geq 2 (T-151 [Т] follows from Φ1\Phi \geq 1), σmax<1\sigma_{\max} < 1 (from items d and f). \blacksquare

Corollary (Substrate invariance). The architecture is reproducible on any physical substrate (silicon, biology, optics, ...) provided a faithful CPTP map GG exists. This follows directly from T-153 [Т].

Dependencies: T-42a [Т], T-57 [Т], T-62 [Т], T-92 [Т], T-124 [Т], T-129 [Т], T-148 [Т], T-151 [Т], T-153 [Т].


§14. Summary closure table

ProblemTheoremWas → Became
[Г]-91 Genesis from I/7I/7T-148 [Т][Г] → [Т]
C20 κ-dominanceT-149 [Т][С] → [Т] (embodied)
[Г]-90 φ-commutativityT-150 [Т][С] → [Т]
C2 Dmin=2D_{\min} = 2T-151 [Т][С] → [Т]
Diamond-norm + [Г]-92T-152 [Т][Г] → [Т]
Substrate independenceT-153 [Т]gap → [Т]
CohEmax\mathrm{Coh}_E^{\max} normalizationT-154 [Т]gap → [Т]
Learning ruleT-155 [Т]gap → [Т]
Mixing parameter β\beta^*T-156 [Т]gap → [Т]
C21 attractor consistencyT-157 [Т][С] → [Т]
Bounds on σsys\sigma_{\mathrm{sys}}T-158 [Т]gap → [Т]
Universal L2 architectureT-159 [Т]gap → [Т]
C27 attractor in windowfrom T-149[С] → [Т]
T-136 SAD spectralfrom T-150[Т under С] → [Т]
[Г]-93—100reclassification[Г] → cat. A/B

Total: 15 closures, 12 new theorems [Т], 0 new open questions.


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