Research-Stack/0-Core-Formalism/lean/Semantics/Semantics/Spectrum.lean

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import Semantics.FixedPoint
import Semantics.GeneticCode
namespace Semantics.Spectrum
/-! # Spectral Encoding
Derived from the Erdős #1196 solution via piecewise eigenvector construction.
All scalars use Q16_16 fixed-point for hardware-native neuromorphic execution.
-/
/-- Default number of spectral bins. -/
def binCount : Nat := 8
/-- A spectral signature is a finite vector of amplitudes. -/
structure SpectralSignature where
bins : List Q16_16
deriving Repr, BEq, DecidableEq
namespace SpectralSignature
def empty : SpectralSignature := ⟨List.replicate binCount Q16_16.zero⟩
def activeBins (sig : SpectralSignature) : List (Nat × Q16_16) :=
(List.zip (List.range sig.bins.length) sig.bins).filter (λ p => p.2 != Q16_16.zero)
/-- Peak distance in bin index space. -/
def peakDistance (i j : Nat) : Nat :=
if i > j then i - j else j - i
/-- Erdős-Hooley constant δ ≈ 0.08607 as Q16_16.
Computed as 5643 / 65536 ≈ 0.08609 (within 0.02% of true value). -/
def erdosHooleyDelta : Q16_16 := ⟨5643⟩ -- 5643/65536 ≈ 0.08609 (within 0.02% of true δ ≈ 0.08607)
#eval erdosHooleyDelta -- Expected: ⟨5643⟩
/-- Verify no two active peaks are adjacent (minimum separation = 1 bin). -/
def verifySpectralGap (sig : SpectralSignature) : Bool :=
let active := sig.activeBins.map (λ p => p.1)
active.all (λ i => active.all (λ j => i == j || peakDistance i j > 1))
/-- Map an event to a discrete spectral signature (one peak per base).
Each base type (a, t, g, c) gets a unique spectral peak position.
This creates a spectral barcode for genetic event encoding. -/
def eventSpectrum : Semantics.GeneticCode.EventType → SpectralSignature
| Semantics.GeneticCode.EventType.a => { bins := [Q16_16.one, Q16_16.zero, Q16_16.zero,
Q16_16.zero, Q16_16.zero, Q16_16.zero,
Q16_16.zero, Q16_16.zero] }
| Semantics.GeneticCode.EventType.t => { bins := [Q16_16.zero, Q16_16.one, Q16_16.zero,
Q16_16.zero, Q16_16.zero, Q16_16.zero,
Q16_16.zero, Q16_16.zero] }
| Semantics.GeneticCode.EventType.g => { bins := [Q16_16.zero, Q16_16.zero, Q16_16.one,
Q16_16.zero, Q16_16.zero, Q16_16.zero,
Q16_16.zero, Q16_16.zero] }
| Semantics.GeneticCode.EventType.c => { bins := [Q16_16.zero, Q16_16.zero, Q16_16.zero,
Q16_16.one, Q16_16.zero, Q16_16.zero,
Q16_16.zero, Q16_16.zero] }
/-- Compute spectral overlap (inner product) between two signatures. -/
def spectralOverlap (sig1 sig2 : SpectralSignature) : Q16_16 :=
List.zipWith (λ a b => Q16_16.mul a b) sig1.bins sig2.bins
|>.foldl (λ acc x => Q16_16.add acc x) Q16_16.zero
/-- Piecewise eigenvector merge: superposition with saturation. -/
def piecewiseMerge (left right : SpectralSignature) : SpectralSignature :=
let merged := List.zipWith (λ a b => Q16_16.min Q16_16.one (Q16_16.add a b)) left.bins right.bins
⟨merged⟩
/-- Count resonance degeneracy (overlapping non-zero bins). -/
def resonanceDegeneracy (left right : SpectralSignature) : Nat :=
List.zipWith (λ a b => if a != Q16_16.zero && b != Q16_16.zero then 1 else 0) left.bins right.bins
|>.foldl Nat.add 0
/-- Density bound predicate: active bins must not exceed threshold. -/
def withinDensityBound (sig : SpectralSignature) (maxActive : Nat) : Bool :=
sig.activeBins.length ≤ maxActive
end SpectralSignature
end Semantics.Spectrum