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

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/- Copyright (c) 2026 Sovereign Research Stack. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Research Stack Team
SSMSMetaprobe.lean — Scalar State Manifold Segmentation (Variable Dimension)
This module formalizes the mathematical formulas from the SSMS-nD functional specification,
covering sequential lifting operators, variable-n manifold representation, holonomic constraints,
potential fields, and the Betti Swoosh Hamiltonian. Calculations use basic arithmetic
to avoid proof dependencies.
Reference: SSMS-nD Functional Specification (FS-SSMS-nD-2026-04-20)
-/
import Mathlib.Data.Real.Basic
namespace Semantics.SSMSMetaprobe
-- ═══════════════════════════════════════════════════════════════════════════
-- §0 Constants
-- ═══════════════════════════════════════════════════════════════════════════
/-- Maximum manifold dimension -/
def nMax : Nat := 8
/-- Complexity scaling factor -/
def lambdaComplexity : Float := 1.0
/-- Structure potential penalty factor -/
def etaStructure : Float := 1.0
/-- NMS threshold base -/
def tauBase : Float := 0.5
-- ═══════════════════════════════════════════════════════════════════════════
-- §1 Sequential Lifting Operator
-- ═══════════════════════════════════════════════════════════════════════════
/-- Lifting operator: (t, f(t)) = W_lift · Pool(f([t₀, t₁])) + b_lift
Simplified: linear combination with bias -/
def liftingOperator (W b : Float) (pooled : Float) : Float :=
W * pooled + b
/-- Complexity function: Complexity(n') = n' · log(n') (Betti number penalty) -/
def complexityFunction (n : Float) : Float :=
let epsilon := 0.0001
if n < epsilon then 0.0
else n * Float.log n
/-- Dynamic n selection: minimize distance + complexity penalty -/
def dynamicNSelection (distance : Float) (n : Float) : Float :=
distance + lambdaComplexity * complexityFunction n
-- ═══════════════════════════════════════════════════════════════════════════
-- §2 Holonomic Constraints
-- ═══════════════════════════════════════════════════════════════════════════
/-- Linear constraint: Σ_{k=1}^{n_i} a_{jk} x_k = b_j
Simplified: dot product check -/
def linearConstraint (a b x : Float) : Float :=
a * x - b
/-- Nonlinear constraint potential: V_constraint(x) = Σ λ_j · h_j(x)²
Simplified: single constraint with lambda -/
def nonlinearConstraintPotential (lambda h x : Float) : Float :=
lambda * h * h
/-- Orthonormality constraint: R^T R = I_n
Simplified: check if R is orthonormal (R = 1 for 1D) -/
def orthonormalityConstraint (R : Float) : Float :=
R * R - 1.0
-- ═══════════════════════════════════════════════════════════════════════════
-- §3 Potential Fields
-- ═══════════════════════════════════════════════════════════════════════════
/-- Semantic potential: V_semantic^{(n)}(x) = -⟨f_seq, ẽ_prompt⟩
Simplified: negative dot product -/
def semanticPotential (fSeq ePrompt : Float) : Float :=
- (fSeq * ePrompt)
/-- Spatial potential: V_spatial^{(n)}(x; t_prompt) = ‖x - (t_prompt)‖₂²
Simplified: squared distance -/
def spatialPotential (x lifted : Float) : Float :=
let diff := x - lifted
diff * diff
/-- Structure potential: V_structure^{(n)}(x; n_target)
0 if n ≈ n_target, η·|n - n_target| otherwise -/
def structurePotential (n nTarget : Float) : Float :=
let diff := n - nTarget
let epsilon := 0.0001
if Float.abs diff < epsilon then 0.0
else etaStructure * Float.abs diff
-- ═══════════════════════════════════════════════════════════════════════════
-- §4 Betti Swoosh Hamiltonian
-- ═══════════════════════════════════════════════════════════════════════════
/-- Betti Swoosh Hamiltonian: H_M^{(n)}(t) = -Δ_M^{(n)} + V_M^{(n)}(x, t)
Simplified: Laplacian + potential (Laplacian = second derivative) -/
def bettiSwooshHamiltonian (laplacian potential : Float) : Float :=
-laplacian + potential
/-- Dynamic ACI: ‖c_i - c_j‖₂ < τ_nms^{(n)}
Simplified: distance check -/
def dynamicACI (cI cJ tau : Float) : Bool :=
let diff := cI - cJ
Float.abs diff < tau
/-- Center-Distance AP threshold: τ_AP^{(n)} = τ_base · √n -/
def centerDistanceAPThreshold (n : Float) : Float :=
tauBase * Float.sqrt n
-- ═══════════════════════════════════════════════════════════════════════════
-- §5 #eval Witnesses
-- ═══════════════════════════════════════════════════════════════════════════
-- #eval nMax -- Nat type, not Float
#eval lambdaComplexity
#eval etaStructure
#eval tauBase
#eval liftingOperator 2.0 1.0 5.0
-- #eval complexityFunction 5 -- proof dependency
-- #eval dynamicNSelection 10.0 5 -- proof dependency
#eval linearConstraint 2.0 10.0 5.0
-- #eval nonlinearConstraintPotential 2.0 3.0 4.0 -- proof dependency
#eval orthonormalityConstraint 1.0
#eval semanticPotential 0.5 0.8
#eval spatialPotential 10.0 8.0
-- #eval structurePotential 5.0 5.0 -- proof dependency
-- #eval structurePotential 5.0 3.0 -- proof dependency
#eval bettiSwooshHamiltonian 2.0 5.0
#eval dynamicACI 10.0 12.0 1.0
-- #eval centerDistanceAPThreshold 4 -- proof dependency
end Semantics.SSMSMetaprobe