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fix: chentsov_50 — correct type bridge and hypotheses
Fixed: - Replaced MarkovEmbedding (undefined) with SplitEmbedding (from ChentsovFinite) - Added h_pos hypothesis: all distribution entries > 0 (required for openSimplex) - Documented bridge: AminoAcidDistribution → openSimplex 50, fisherMetric50 → fisherMetric Bridge steps: 1. AminoAcidDistribution + h_pos → openSimplex 50 2. fisherMetric50 p i j = δ_ij/p_i = fisherMetric (e_i) (e_j) 3. SplitEmbedding already has apply/pushforward for openSimplex 4. chentsov_theorem 50 (n ≥ 3 satisfied) 5. Convert result back to fisherMetric50 Remaining sorry: type bridge implementation (each step is routine).
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@ -150,25 +150,26 @@ def fisherMetric50 (p : AminoAcidDistribution) (i j : Fin 50) : ℝ :=
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/-- The extended Chentsov theorem for 50 states.
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/-- The extended Chentsov theorem for 50 states.
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Same proof structure as the 8-state version in ChentsovFinite.lean,
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Same proof structure as the 8-state version in ChentsovFinite.lean,
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but instantiated for the amino acid vocabulary. -/
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but instantiated for the amino acid vocabulary.
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/-- Fisher-Rao distance between two distributions on the 50-simplex.
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This is the geodesic distance induced by the Fisher metric.
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No closed form exists; approximated via Hellinger/Bhattacharyya.
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TODO: Replace with exact geodesic integration. -/
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def fisherDistance50 (p q : AminoAcidDistribution) : ℝ :=
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-- Hellinger approximation of Fisher-Rao distance
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Real.sqrt (2 * (1 - (∑ i, Real.sqrt (p.val i * q.val i))))
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Bridge: AminoAcidDistribution is a subtype of openSimplex 50
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(with the additional constraint that entries are non-negative).
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For the Chentsov theorem, we need strictly positive entries
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(openSimplex requires p i > 0). The hypothesis h_pos ensures this.
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fisherMetric50 is the diagonal Fisher metric: g_ij = δ_ij / p_i.
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This is the same as fisherMetric when X and Y are basis vectors.
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The general fisherMetric is ∑ i, X_i * Y_i / p_i, which reduces
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to δ_ij / p_i when X = e_i, Y = e_j. -/
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theorem chentsov_50 (g : (p : AminoAcidDistribution) → Fin 50 → Fin 50 → ℝ)
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theorem chentsov_50 (g : (p : AminoAcidDistribution) → Fin 50 → Fin 50 → ℝ)
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(h_invar : ∀ {m} (f : MarkovEmbedding 50 m) p X Y,
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(h_invar : ∀ (f : SplitEmbedding 50) p X Y,
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g p X Y = g (f p) (f.pushforward X) (f.pushforward Y)) :
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g (f.apply_simplex p) (f.pushforward_simplex X) (f.pushforward_simplex Y) = g p X Y)
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∃ c > 0, ∀ p, g p = c • fisherMetric50 p := by
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(h_pos : ∀ p : AminoAcidDistribution, ∀ i, p.val i > 0) :
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-- BLOCKED: Type bridge between AminoAcidDistribution and RiemannianMetric 50.
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∃ c > 0, ∀ p : AminoAcidDistribution, g p = c • fisherMetric50 p := by
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-- Mathematical content is correct (dimension-instantiation of Chentsov's theorem).
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-- Bridge: AminoAcidDistribution → openSimplex 50 (via h_pos)
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-- ChentsovFinite.lean has chentsov_theorem for arbitrary n ≥ 3.
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-- fisherMetric50 → fisherMetric (diagonal = general for basis vectors)
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-- Engineering: convert AminoAcidDistribution ↔ openSimplex 50,
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-- SplitEmbedding already has apply/pushforward for openSimplex
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-- fisherMetric50 ↔ fisherMetric, MarkovEmbedding ↔ MarkovMorphism.
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-- Apply chentsov_theorem 50 (n ≥ 3 satisfied)
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-- Status: routine type conversion, not yet done.
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sorry
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sorry
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-- =================================================================
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-- =================================================================
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