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IndisputableMonolith.Gravity.SevenGaps.PathSumMeasure

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Defines the scoped configuration space for the recognition path sum: bounded combinatorial complexes (at most B vertices, edges, tetrahedra) with incidence data, finite coding, and the relabeling groupoid. Postulates the discrete-gravity measure μ(K)=1/|Aut K|. Gravity and QG campaign modules cite it as the common state space for quotient bookkeeping, gauge preflight, UV shell sums, and measure no-gos.

claimAt fixed lattice scale, a configuration is a bounded combinatorial complex $K$ with at most $B$ vertices, edges, and tetrahedra and abstract incidence data (equilateral CDT-style, no metric field). The module supplies a finite code equivalence, a positive cardinality bound, the relabeling relation (reflexive, symmetric, transitive), and the symmetry-factor measure $\mu(K)=1/|\mathrm{Aut}(K)|$ on that space.

background

Recognition gravity treats the path sum as a sum over admissible triangulations of a compact manifold with mesh bounded below by the substrate length $\ell_{\mathrm{sub}}$. The upstream UV-bound module frames that sum and its finiteness; this module supplies the finite, combinatorial state space on which those sums are written.

The model drops continuous metric data: edge length is fixed at the minimum mesh, so geometries are equilateral and combinatorial (CDT-style), mirroring a size-capped, metric-free version of a 3D Regge triangulation. Sibling structure introduces BoundedComplex, empty complex, finite coding (toCode/ofCode equivalence), Fintype instance, positive card, and the Relabel groupoid (refl/symm/trans).

The path-sum weight is the standard discrete-gravity symmetry factor $\mu(K)=1/|\mathrm{Aut} K|$, postulated here and later derived or stress-tested by gauge-counting and invariance modules.

proof idea

Definition and infrastructure module, not a single theorem. It packages the bounded complex type, coding equivalence to a finite type (hence Fintype and card positivity), and the relabeling equivalence relation with its groupoid laws. The measure $\mu=1/|\mathrm{Aut}|$ is introduced by definition as the scoped path-sum weight. Downstream proofs import these objects rather than re-deriving finiteness or incidence shape.

why it matters in Recognition Science

This is the shared configuration layer for the Seven-Gaps QG campaign. CampaignLedger records scoped increments against it. ClassPushforward uses the space for quotient bookkeeping of the path sum $Z$. ExactShellGaugePreflight derives $\mu=1/|\mathrm{Aut}|$ from pure gauge counting (this module only postulates it). ExactShellGaugeUV organizes quotient classes into exact complexity shells and proves Gaussian-UV convergence. MeasureInvarianceNoGo kills the claim that relabeling invariance alone forces $\mu=1/|\mathrm{Aut}|$, with explicit witnesses on this space. PathSumProbes and SimplicialClass attach honest probes and simplicial class structure. Without a finite, relabel-aware complex type, the path-sum UV and measure lanes have nowhere to land.

scope and limits

used by (7)

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depends on (1)

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declarations in this module (56)