Finite Mirror-Reduced Weil Factorization
Abstract
Finite convolution-square zero sums factor through the reflection-reduced observable space with analytic multiplicity retained as a positive weight.
Theorem 1.1 (The actual finite convolution-square zero sum is a reduced mirror form).
Lean statement: D5/S3/Weil/BurnolGram/FiniteMirrorReducedWeilFactorization.truncatedZeroSum_convolutionSquare_eq_reducedMirrorForm
Proof. Machine-checked in Lean as D5/S3/Weil/BurnolGram/FiniteMirrorReducedWeilFactorization.truncatedZeroSum_convolutionSquare_eq_reducedMirrorForm (✓ std3). ∎
Source. Repository-derived.
Commentary.
One scalar coordinate is retained per distinct zero. Functional-equation reflection-evenness is stored as a subtype condition, while analytic multiplicity remains in the quadratic weight and is not counted a second time through duplicated coordinates.
The proof uses the frozen complex convolution-square factorization and the stored same-height mirror relation on spectral parameters, then rewrites the finite symmetric cutoff as a subtype sum.
Theorem 1.2 (Finite orbit blocks split into positive even energy minus positive odd energy).
Lean statement: D5/S3/Weil/BurnolGram/FiniteMirrorReducedWeilFactorization.finite_offLine_orbit_block_factorization
Proof. Machine-checked in Lean as D5/S3/Weil/BurnolGram/FiniteMirrorReducedWeilFactorization.finite_offLine_orbit_block_factorization (✓ std3). ∎
Source. Repository-derived.
Commentary.
The theorem sums the established one-orbit parity decomposition over an arbitrary finite family. Both aggregate channel energies remain nonnegative. Orbit disjointness is required only when identifying the block sum with a union of zero indices, not for the algebraic decomposition.
References
- Truth anchor:
D5/S3/Weil/BurnolGram/FiniteMirrorReducedWeilFactorization.finite_offLine_orbit_block_factorization - Truth anchor:
D5/S3/Weil/BurnolGram/FiniteMirrorReducedWeilFactorization.truncatedZeroSum_convolutionSquare_eq_reducedMirrorForm - Dependency: D5/S3/Weil/HolonomyBridge/OffLineOrbitParityDecomposition
- Dependency: D5/S3/Weil/WeilObservables/WeilEvaluationObservableSubspace