Pith. sign in
theorem

conformalRange_finrank_le_nV

proved
show as:
module
IndisputableMonolith.Gravity.SevenGaps.EdgeTensorSector
domain
Gravity
line
145 · github
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plain-language theorem explainer

On any finite 3D Regge triangulation, the image of the vertex-conformal strain map inside edge-perturbation space has real dimension at most the number of vertices. Gravity and discrete-geometry workers cite it to bound the conformal slice before counting shear modes. The proof is a two-step rank comparison: Mathlib’s range-rank inequality composed with the exact rank of the vertex-potential space.

Claim. For every finite 3D triangulation $K$, if $C_K$ denotes the $\mathbb{R}$-linear map sending a scalar potential on vertices to the induced conformal log-strain on edges, then $\mathrm{finrank}_{\mathbb{R}}(\mathrm{range}(C_K)) \le n_V(K)$, where $n_V(K)$ is the number of vertices of $K$.

background

Lane 3 of the Seven-Gaps gravity stack studies the edge (tensor) sector beyond the pure conformal ansatz. On a triangulation $K$, a vertex potential is one real scalar per vertex. The conformal ansatz pushes that potential to edges by the symmetric log-strain $(\xi_u+\xi_v)/2$ on each undirected edge ${u,v}$, packaged here as the linear map conformalStrainLinearMap from vertex potentials into the full edge-perturbation space.

The ambient edge space has dimension equal to the number of edges; the conformal image is a linear subspace of that space. The module header records that membership in the range is exactly the predicate “is a conformal edge perturbation,” so dimension bounds on the range are dimension bounds on the conformal slice.

Upstream, the exact identity $\mathrm{finrank}(\mathrm{VertexPotential},K)=n_V(K)$ is already available, as is Mathlib’s general fact that the rank of a linear map’s range never exceeds the rank of its domain. This lemma simply chains those two facts for an arbitrary finite 3D triangulation.

proof idea

Term-mode, two lines. Apply Mathlib’s LinearMap.finrank_range_le to the conformal strain map: the finrank of its range is at most the finrank of the domain (vertex potentials). Then transitively compose with the already-proved equality finrank_vertexPotential K, whose .le form supplies $\mathrm{finrank}(\mathrm{VertexPotential},K)\le n_V(K)$. No case split on $K$ and no explicit basis construction.

why it matters

This is the abstract rank bound that feeds the concrete $N=5$ torus count. Downstream, periodicTorus5_conformalRange_finrank_le instantiates it at PeriodicTorus5.K and composes with $n_V=125$ to get conformal rank $\le 125$. That inequality is the left half of the dimension gap $125<875$ used to prove the conformal range is a proper subspace of the 875-dimensional edge space, hence that non-conformal (shear) edge perturbations exist on the Freudenthal 3-torus.

In the Recognition gravity program this closes the “conformal image is thin” half of Lane 3: once the conformal slice is known to be at most vertex-dimensional, the explicit rectangle-shear and uniform-strain witnesses can sit outside it. The result is fully proved (zero sorry) and holds for every finite 3D triangulation, not only the torus.

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