import OAI.Probability.InvariantIsing.Cavity.CavityBaseEigenspaces namespace OAI /-! The base interaction has an explicit spectral decomposition. Its retained multiplicities and the assigned special multiplicities add to the required base counts. -/ noncomputable section open scoped BigOperators Matrix namespace InvariantIsing lemma cavityBaseReplacement_spectral_sum {r s d : ℕ} {ι : Type*} [Fintype ι] (J : Matrix (Fin r) (Fin r) ℝ) (W : Matrix (Fin r) (Fin s) ℝ) (D : Matrix (Fin s) (Fin s) ℝ) (B : Matrix (Fin s) (Fin d) ℝ) (A₀ : Matrix (Fin d) (Fin d) ℝ) (R : Matrix (Fin r) ι ℝ) (L : Matrix ι ι ℝ) (hJR : J * R = R * L) (hJW : J * W = W * D) (hcomplete : R * R.transpose + W * W.transpose = 1) : cavityBaseReplacement J W D B A₀ = R * L * R.transpose + (W * B) * A₀ * (W * B).transpose := by have hJ : J = R * L * R.transpose + W * D * W.transpose := by calc J = J * (R * R.transpose + W * W.transpose) := by rw [hcomplete, Matrix.mul_one] _ = _ := by rw [Matrix.mul_add, ← Matrix.mul_assoc, ← Matrix.mul_assoc, hJR, hJW] unfold cavityBaseReplacement rw [hJ] abel lemma cavityRetainedStack_perp {r m n : ℕ} (k : Fin m → ℕ) (R : (a : Fin m) → Matrix (Fin r) (Fin (k a)) ℝ) (X : Fin m → Matrix (Fin r) (Fin n) ℝ) (hRX : ∀ a b, (R a).transpose * cavityNormalizeFrame (X b) = 0) : (cavityRetainedStack k R).transpose * cavityEigenspaceFrame X = 0 := by ext ⟨a, i⟩ j exact congrArg (fun M : Matrix (Fin (k a)) (Fin n) ℝ => M i (finProdFinEquiv.symm j).2) (hRX a (finProdFinEquiv.symm j).1) lemma cavityRetainedStack_eigen {r m : ℕ} (g : Fin r → Fin m) (lam : Fin m → ℝ) (k : Fin m → ℕ) (R : (a : Fin m) → Matrix (Fin r) (Fin (k a)) ℝ) (hR : ∀ a i, g i ≠ a → ∀ j, R a i j = 0) : Matrix.diagonal (fun i => lam (g i)) * cavityRetainedStack k R = cavityRetainedStack k R * Matrix.diagonal (fun j : Sigma (fun a : Fin m => Fin (k a)) => lam j.1) := by ext i ⟨a, j⟩ have h := congrArg (fun M : Matrix (Fin r) (Fin (k a)) ℝ => M i j) (cavitySpectralSupport_eigen g a lam (R a) (hR a)) rw [Matrix.mul_diagonal] simpa only [Matrix.diagonal_mul, cavityRetainedStack, Matrix.smul_apply, smul_eq_mul, mul_comm] using h theorem cavityBase_spectral_decomposition {r m n d : ℕ} (g : Fin r → Fin m) (A : Matrix (Fin r) (Fin n) ℝ) (lam : Fin m → ℝ) (k : Fin m → ℕ) (R : (a : Fin m) → Matrix (Fin r) (Fin (k a)) ℝ) (hR : ∀ a i, g i ≠ a → ∀ j, R a i j = 0) (hproj : ∀ a, R a * (R a).transpose + cavityNormalizeFrame (cavitySpectralImage g A a) * (cavityNormalizeFrame (cavitySpectralImage g A a)).transpose = Matrix.diagonal (fun i => if g i = a then (1 : ℝ) else 0)) (B : Matrix (Fin (m * n)) (Fin d) ℝ) (A₀ : Matrix (Fin d) (Fin d) ℝ) : cavityBaseReplacement (Matrix.diagonal (fun i => lam (g i))) (cavityEigenspaceFrame (cavitySpectralImage g A)) (cavityRepeatedSpectrum (n := n) lam) B A₀ = cavityRetainedStack k R * Matrix.diagonal (fun j : Sigma (fun a : Fin m => Fin (k a)) => lam j.1) * (cavityRetainedStack k R).transpose + (cavityEigenspaceFrame (cavitySpectralImage g A) * B) * A₀ * (cavityEigenspaceFrame (cavitySpectralImage g A) * B).transpose := by apply cavityBaseReplacement_spectral_sum · exact cavityRetainedStack_eigen g lam k R hR · exact cavityEigenspaceFrame_eigen _ _ lam (cavitySpectralImage_eigen g A lam) · exact cavityRetainedStack_complete g A k R hproj end InvariantIsing end end OAI