The Theory of Persistence
Théorème

Lemma F — Metric reconstruction

The reconstructed QFT's spacetime metric is the sieve's Fisher metric evaluated at $\mu^* = 15$.

Statement

The spacetime metric of the quantum field theory reconstructed (by Osterwalder–Schrader, cf. Lemma E) is the Fisher information metric gabFg^F_{ab} of the sieve transfer system, evaluated at the fixed point μ=15\mu^* = 15.

gspacetime=gsieveFμ=15.\boxed{g_{\rm spacetime} = g^F_{\rm sieve}\big|_{\mu^* = 15}.} Théorème

Plain reading. Spacetime itself is not postulated in PT. It emerges from the statistical geometry of the sieve. Specifically: the Fisher metric (which measures the “distance” between probability distributions) coincides, at the fixed point, with the Riemannian spacetime metric of the reconstructed theory.

Why it matters

Lemma F is the bridge from arithmetic to gravity. The cascade T0 → T6 + T5 + Lemma E gives the coupling αEM\alpha_{\rm EM} (electromagnetic interaction). Lemma F gives the structure of space itself.

This is what justifies the derived identity GSCU/αEM=2πG_{\rm SCU} / \alpha_{\rm EM} = 2\pi (observable #42): gravity is not a separate fundamental force, it is the geometric envelope of the same cascade.

Proof — outline

  1. Step F.1: Fisher metric = Hessian of the log-partition function.
  2. Step F.2: the partition function is a spectral invariant (by Lemma E.2, spectrum rigidity).
  3. Step F.3: the metric decomposes additively over CRT factors.
  4. Step F.4: Čencov (G3) gives uniqueness of the metric on the probability simplex.
  5. Conclusion: the metric identity spacetime ↔ Fisher is forced.

Detailed proof

Step F.1 — Fisher = Hessian of log-partition

For an exponential family p(x;θ)=eθT(x)A(θ)p(x; \theta) = e^{\theta \cdot T(x) - A(\theta)}, the Fisher metric is:

gabF(θ)=2A(θ)θaθb,g^F_{ab}(\theta) = \frac{\partial^2 A(\theta)}{\partial \theta^a \, \partial \theta^b},

where A(θ)A(\theta) is the log-partition. Standard result of information geometry.

For the sieve transfer system, A=lnZA = \ln Z with Z=Tr(TN)Z = \mathrm{Tr}(T^N) the Ruelle partition function, and θ=μ\theta = \mu the scale parameter.

Step F.2 — Log-partition is a spectral invariant

By step E.2 of Lemma E, the spectrum of {Tm}\{T_m\} is rigid:

  • T1 fixes the zero pattern,
  • T5 fixes the active primes,
  • T6 fixes the sin² themselves.

So ZN=iλiNZ_N = \sum_i \lambda_i^N and its Hessian are entirely determined with zero free parameters.

Step F.3 — CRT separability

The Fisher metric decomposes additively over CRT factors:

g00=pg00(p),g_{00} = \sum_p g_{00}^{(p)},

because Tm=pTpT_m = \bigotimes_p T_p implies lnZ=plnZp\ln Z = \sum_p \ln Z_p, and the Hessian of a sum is the sum of Hessians.

This allows computing the metric factor by factor: three independent contributions for the three active primes {3,5,7}\{3, 5, 7\}.

Step F.4 — Čencov uniqueness (G3)

Čencov’s theorem ensures that FμμF_{\mu\mu} is the unique monotone Riemannian metric on the probability simplex (up to a constant). “Monotone” means it decreases under Markov morphisms — that is the projection-invariance axiom.

Physical invariance of spacetime under information-non-creating transformations imposes the same condition. So the spacetime metric must be the Čencov–Fisher metric.

Step F.5 — Bianchi I decomposition

The reconstructed metric has Bianchi I structure (anisotropic, three independent axes), direct consequence of the CRT decomposition into three factors:

ds2=dt2+a3(t)2dx32+a5(t)2dx52+a7(t)2dx72,ds^2 = -dt^2 + a_3(t)^2 dx_3^2 + a_5(t)^2 dx_5^2 + a_7(t)^2 dx_7^2,

with each ap(t)a_p(t) driven by γp\gamma_p. PT’s geometric signature (cf. essay Why three dimensions?).

For the complete derivation, see chapter 9 of the monograph, section Metric Reconstruction (Lemma F).

See also