Download lean/OAI/Geometry/Borsuk/MatrixGeometry/MatrixCompression.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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2.82 kB
| import Mathlib | |
| import OAI.Geometry.Borsuk.Support.DisjointChambers | |
| namespace OAI | |
| namespace BorsukNine | |
| open scoped Matrix RealInnerProductSpace MatrixOrder Matrix.Norms.L2Operator | |
| section MatrixCompression | |
| variable {μ ν : Type*} [Fintype μ] [Fintype ν] [DecidableEq μ] [DecidableEq ν] | |
| local notation "D" => EuclideanSpace ℝ μ | |
| local notation "E" => EuclideanSpace ℝ ν | |
| noncomputable def matrixCompress (e : D →ₗᵢ[ℝ] E) : Matrix ν ν ℝ →ₗ[ℝ] Matrix μ μ ℝ where | |
| toFun Q := (isometryMatrix e)ᴴ * Q * isometryMatrix e | |
| map_add' Q R := by simp only [Matrix.mul_add,Matrix.add_mul] | |
| map_smul' t Q := by simp only [Matrix.mul_smul,Matrix.smul_mul]; rfl | |
| omit [DecidableEq ν] in | |
| lemma matrixCompress_nonneg (e : D →ₗᵢ[ℝ] E) {Q : Matrix ν ν ℝ} (hQ : 0 ≤ Q) : | |
| 0 ≤ matrixCompress e Q := | |
| ((Matrix.nonneg_iff_posSemidef.mp hQ).conjTranspose_mul_mul_same _).nonneg | |
| lemma isometryMatrix_adjoint_action (e : D →ₗᵢ[ℝ] E) (x : D) : | |
| Matrix.toEuclideanLin (isometryMatrix e)ᴴ (e x) = x := by | |
| rw [← isometryMatrix_action e x] | |
| change ((Matrix.toEuclideanLin (isometryMatrix e)ᴴ).comp | |
| (Matrix.toEuclideanLin (isometryMatrix e))) x = x | |
| rw [← toEuclideanLin_mul,isometryMatrix_star_mul] | |
| simp only [Matrix.toLpLin_apply,Matrix.one_mulVec,WithLp.toLp_ofLp] | |
| lemma matrixEmbed_compress (e : D →ₗᵢ[ℝ] E) {Q : Matrix ν ν ℝ} | |
| (hQ : IsSelfAdjoint Q) | |
| (hR : LinearMap.range (Matrix.toEuclideanLin Q) ≤ LinearMap.range e.toLinearMap) : | |
| matrixEmbed e (matrixCompress e Q) = Q := by | |
| let T := isometryMatrix e | |
| have hleft : (T * Tᴴ) * Q = Q := by | |
| apply Matrix.toEuclideanLin.injective | |
| apply LinearMap.ext | |
| intro v | |
| obtain ⟨x,hx⟩ := hR (LinearMap.mem_range_self (Matrix.toEuclideanLin Q) v) | |
| change e x = Matrix.toEuclideanLin Q v at hx | |
| rw [toEuclideanLin_mul,toEuclideanLin_mul] | |
| change Matrix.toEuclideanLin T (Matrix.toEuclideanLin Tᴴ (Matrix.toEuclideanLin Q v)) = _ | |
| rw [← hx,isometryMatrix_adjoint_action,isometryMatrix_action] | |
| have hright : Q * (T*Tᴴ) = Q := by | |
| have he := congrArg Matrix.conjTranspose hleft | |
| rw [Matrix.conjTranspose_mul,Matrix.conjTranspose_mul,Matrix.conjTranspose_conjTranspose] at he | |
| simpa only [← Matrix.star_eq_conjTranspose,hQ.star_eq] using he | |
| change T * (Tᴴ * Q * T) * Tᴴ = Q | |
| calc | |
| _ = ((T*Tᴴ)*Q)*(T*Tᴴ) := by simp only [Matrix.mul_assoc] | |
| _ = Q := by rw [hleft,hright] | |
| lemma matrixCompress_trace (e : D →ₗᵢ[ℝ] E) {Q : Matrix ν ν ℝ} | |
| (hQ : IsSelfAdjoint Q) | |
| (hR : LinearMap.range (Matrix.toEuclideanLin Q) ≤ LinearMap.range e.toLinearMap) : | |
| Matrix.trace (matrixCompress e Q) = Matrix.trace Q := by | |
| rw [← matrixEmbed_trace e,matrixEmbed_compress e hQ hR] | |
| end MatrixCompression | |
| end BorsukNine | |
| end OAI | |