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IndisputableMonolith.Foundation.SpectralEmergence

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SpectralEmergence defines the D-dimensional binary hypercube graph, with vertex set V of cardinality 2^D, edges E, faces F, face pairs, automorphism order, and the concrete 3-cube Q3 objects including Euler characteristic. Researchers deriving spectral properties from the Recognition Science forcing chain cite it to ground the combinatorial base for dimension emergence. The module consists solely of definitions, importing the time quantum from Constants and cost structures from Cost to parameterize the graph.

claimThe D-dimensional hypercube has vertex set $V$ with $|V|=2^D$, edge set $E$, face set $F$, face pairs, and automorphism group order. For the 3-cube these specialize to $Q3$ vertices, edges, faces, face pairs, automorphism order, and Euler characteristic.

background

This module establishes the graph structure underlying spectral emergence in Recognition Science. It defines the binary cube in D dimensions, where vertices correspond to binary strings of length D, yielding |V|=2^D as stated in the module documentation. Key objects include the edge set E, faces F, face pairs, and the automorphism order, with explicit Q3 instances for the 3-cube and its Euler characteristic.

proof idea

This is a definition module, no proofs.

why it matters in Recognition Science

The module supplies the combinatorial primitives that feed parent theorems on spectral emergence in the Recognition Science framework. It fills the graph-theoretic step supporting the forcing chain T0-T8 where D=3 emerges from the eight-tick octave, providing Q3 objects for downstream spectral and physical derivations including the alpha band and phi-ladder mass formula.

scope and limits

depends on (2)

Lean names referenced from this declaration's body.

declarations in this module (57)