IndisputableMonolith.Masses.ExcitationOrdering
Defines the 0-, 1-, and 2-dimensional subcells of the hypercube Q_D used for fermion generation coupling, with counts and a passive-coupling weight on each type. Mass and torsion authors cite it when ranking excitations by geometric dimension before projecting onto the φ-ladder. The module is mostly definitions plus elementary dimension and positivity lemmas.
claimOn the $D$-dimensional hypercube $Q_D$, the subcell types relevant to fermion generation coupling are vertices ($0$-cells), edges ($1$-cells), and faces ($2$-cells). Each type has a combinatorial count and a passive coupling weight; edge dimension is strictly less than face dimension, and vertex dimension is strictly less than edge dimension.
background
Recognition Science ties charged-generation structure to the geometry of the cube $Q_3$ (and more generally $Q_D$). The upstream Generation Torsion Bridge module is the authoritative source that charged-generation torsion values ${0, 11, 17}$ arise from that cube geometry and match every other representation in the codebase.
This module isolates the subcell vocabulary needed before torsion is forced: a CubeCell classification restricted to dimensions $0,1,2$, the corresponding subcell counts, and a passive coupling assigned to each type. Those objects sit between raw cube combinatorics and the later ranking of excitations that feed mass and torsion arguments.
Notation is elementary: dimension comparisons are ordinary inequalities on cell dimension, and passive coupling is a nonnegative weight used to order how strongly a subcell type participates in generation coupling.
proof idea
Definition-heavy module. It introduces the subcell type, count functions for vertex/edge/face, and passive-coupling weights, then proves the expected dimension inequalities (vertex $<$ edge $<$ face in dimension) and positivity of the edge passive coupling by direct case analysis on the finite type. No deep analytic argument; the content is combinatorial bookkeeping for downstream forcing.
why it matters in Recognition Science
Supplies the geometric ordering layer that TorsionForcing imports when it closes the structural gap: generation torsion ${0, 11, 17}$ as the unique values compatible with the 8-tick Hamiltonian cycle on $Q_3$ projected onto the $\varphi$-ladder through the Recognition Composition Law. Without a clean vertex/edge/face stratification and passive weights, that uniqueness argument has no ranked excitation input.
In the broader chain this sits under the eight-tick octave (T7) and the cube geometry that sources generation structure, feeding mass-side torsion rather than the J-uniqueness or $D=3$ forcing steps themselves.
scope and limits
- Does not derive torsion values {0, 11, 17}; only subcell types and couplings.
- Does not prove uniqueness under the 8-tick cycle or RCL; that is TorsionForcing.
- Does not treat cells of dimension greater than 2 for generation coupling.
- Does not assign particle masses or φ-ladder rungs; only geometric ordering data.
used by (1)
depends on (1)
declarations in this module (35)
-
inductive
CubeCell -
def
subcellCount -
theorem
subcellCount_vertex -
theorem
subcellCount_edge -
theorem
subcellCount_face -
theorem
edge_dim_lt_face_dim -
theorem
vertex_dim_lt_edge_dim -
def
passiveCoupling -
theorem
passiveCoupling_vertex -
theorem
passiveCoupling_edge -
theorem
passiveCoupling_face -
theorem
passiveCoupling_edge_pos -
theorem
passiveCoupling_face_pos -
def
cwCumulativeTorsion -
theorem
cwTorsion_first -
theorem
cwTorsion_second -
theorem
cwTorsion_third -
theorem
cwTorsion_eq_generationTorsion -
theorem
first_increment_is_passive_edges -
theorem
second_increment_is_faces -
theorem
cwTorsion_cubeAdmissible -
theorem
Jcost_strict_mono_pos -
def
excitationCost -
theorem
excitationCost_ground -
theorem
excitationCost_pos_of_ne_zero -
theorem
excitationCost_strictMono -
theorem
excitation_cost_ordering -
structure
ExcitationOrderingTheorem -
theorem
excitation_ordering_holds -
theorem
edge_is_minimal_nontrivial_excitation -
theorem
ordering_is_dimensional_not_numerical -
theorem
cwTorsion_incremental -
theorem
cwTorsion_has_filtration -
theorem
excitation_ordering_implies_filtration -
theorem
excitation_ordering_certificate