Download lean/OAI/Geometry/Borsuk/MatrixGeometry/BlockLine.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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4.98 kB
| import Mathlib | |
| import OAI.Geometry.Borsuk.Support.NegativeFibre | |
| import OAI.Geometry.Borsuk.MatrixGeometry.BlockParts | |
| namespace OAI | |
| open Set MeasureTheory | |
| namespace BorsukNine | |
| open scoped Matrix MatrixOrder RealInnerProductSpace Matrix.Norms.L2Operator | |
| section BlockLine | |
| variable {μ ν : Type*} [Fintype μ] [Fintype ν] [DecidableEq μ] [DecidableEq ν] | |
| [Nonempty ν] | |
| local notation "W" => EuclideanSpace ℝ μ | |
| local notation "E" => EuclideanSpace ℝ ν | |
| local notation "M" => Matrix ν ν ℝ | |
| local notation "op" => Matrix.toEuclideanCLM (𝕜 := ℝ) | |
| lemma positiveLine_eigenvector {A : M} (hA : IsSelfAdjoint A) {c : E} (hc : ‖c‖ = 1) | |
| {lam : ℝ} (hl : 0 < lam) (hP : A⁺ = lam • rankOne c) : op A c = lam • c := by | |
| rw [← CFC.posPart_sub_negPart A hA,map_sub,sub_apply, | |
| negPart_kernel_of_positiveLine hc hl hP,sub_zero,hP,map_smul,smul_apply, | |
| rankOne_action,real_inner_self_eq_norm_sq,hc,one_pow,one_smul] | |
| lemma blockScalar_positiveLine {A : M} (hA : IsSelfAdjoint A) {c : E} (hc : ‖c‖ = 1) | |
| {lam : ℝ} (hl : 0 < lam) (hP : A⁺ = lam • rankOne c) : blockScalar c A = lam := by | |
| rw [blockScalar,positiveLine_eigenvector hA hc hl hP,inner_smul_right,real_inner_self_eq_norm_sq,hc,one_pow,mul_one] | |
| omit [DecidableEq μ] in | |
| lemma blockOff_positiveLine (e : W →ₗᵢ[ℝ] E) {A : M} (hA : IsSelfAdjoint A) {c : E} (hc : ‖c‖ = 1) | |
| (he : ∀ v, ⟪c,e v⟫ = 0) {lam : ℝ} (hl : 0 < lam) (hP : A⁺ = lam • rankOne c) : | |
| blockOff c e A = 0 := by | |
| rw [blockOff,positiveLine_eigenvector hA hc hl hP,map_smul,adjoint_normal c e he,smul_zero] | |
| lemma blockCorner_positiveLine (e : W →ₗᵢ[ℝ] E) {A : M} (hA : IsSelfAdjoint A) {c : E} (hc : ‖c‖ = 1) | |
| (he : ∀ v, ⟪c,e v⟫ = 0) (hes : ∀ u, ⟪c,u⟫ = 0 → ∃ v, e v = u) | |
| {lam : ℝ} (hl : 0 < lam) (hP : A⁺ = lam • rankOne c) : blockCorner e A = -A⁻ := by | |
| have hd := block_decomposition e hc he hes hA (blockOff_positiveLine e hA hc he hl hP) | |
| rw [blockScalar_positiveLine hA hc hl hP] at hd | |
| have hp := CFC.posPart_sub_negPart A hA | |
| rw [hP] at hp | |
| exact (add_left_cancel (show lam • rankOne c + -A⁻ = lam • rankOne c + blockCorner e A by simpa only [sub_eq_add_neg] using hp.trans hd)).symm | |
| omit [Nonempty ν] in | |
| lemma blockCompress_isUnit (e : W →ₗᵢ[ℝ] E) {A : M} (hA : IsSelfAdjoint A) (hU : IsUnit A) | |
| {c : E} (hc : ‖c‖ = 1) (he : ∀ v, ⟪c,e v⟫ = 0) | |
| (hes : ∀ u, ⟪c,u⟫ = 0 → ∃ v, e v = u) (hb : blockOff c e A = 0) : | |
| IsUnit (matrixCompress e A) := by | |
| have hopU : IsUnit (op A) := IsUnit.map (Matrix.toEuclideanCLM (n := ν) (𝕜 := ℝ)) hU | |
| have hAi : Function.Injective (op A) := (ContinuousLinearMap.isUnit_iff_bijective.mp hopU).1 | |
| apply (isUnit_map_iff (op) _).mp | |
| apply ContinuousLinearMap.isUnit_iff_bijective.mpr | |
| have hi : Function.Injective (op (matrixCompress e A)) := by | |
| apply (LinearMap.ker_eq_bot).mp | |
| rw [Submodule.eq_bot_iff] | |
| intro v hv | |
| have hv0 : op (matrixCompress e A) v = 0 := hv | |
| have hAv : op A (e v) = 0 := by | |
| conv_lhs => rw [block_decomposition e hc he hes hA hb] | |
| rw [map_add,add_apply,map_smul,smul_apply, | |
| rankOne_action,he,zero_smul,smul_zero,zero_add] | |
| change op (matrixEmbed e (matrixCompress e A)) (e v) = 0 | |
| rw [show op (matrixEmbed e (matrixCompress e A)) (e v) = e (op (matrixCompress e A) v) from matrixEmbed_action e _ v,hv0,map_zero] | |
| apply e.injective | |
| exact hAi (by simpa only [map_zero] using hAv) | |
| exact ⟨hi,(LinearMap.injective_iff_surjective).mp hi⟩ | |
| lemma posDef_inner_pos {B : Matrix μ μ ℝ} (hB : B.PosDef) {v : W} (hv : v ≠ 0) : | |
| 0 < ⟪v,op B v⟫ := by | |
| have hv' : v.ofLp ≠ 0 := fun h => hv (WithLp.ofLp_injective 2 h) | |
| have h := hB.dotProduct_mulVec_pos hv' | |
| simp only [PiLp.inner_apply,RCLike.inner_apply,conj_trivial] | |
| change 0 < ∑ i, (B *ᵥ v.ofLp) i * v i | |
| simpa only [dotProduct,Pi.star_apply,star_trivial,mul_comm] using h | |
| lemma blockCompress_negative (e : W →ₗᵢ[ℝ] E) {A : M} (hA : IsSelfAdjoint A) (hU : IsUnit A) | |
| {c : E} (hc : ‖c‖ = 1) (he : ∀ v, ⟪c,e v⟫ = 0) | |
| (hes : ∀ u, ⟪c,u⟫ = 0 → ∃ v, e v = u) {lam : ℝ} (hl : 0 < lam) | |
| (hP : A⁺ = lam • rankOne c) : NegativeQuadratic (op (matrixCompress e A)) := by | |
| have hC := blockCorner_positiveLine e hA hc he hes hl hP | |
| have hcomp : -(matrixCompress e A) = matrixCompress e A⁻ := by | |
| have hh := congrArg (matrixCompress e) hC | |
| rw [blockCorner,matrixCompress_embed,map_neg] at hh | |
| exact neg_eq_iff_eq_neg.mpr hh | |
| have hn : 0 ≤ -(matrixCompress e A) := by rw [hcomp]; exact matrixCompress_nonneg e (CFC.negPart_nonneg A) | |
| have hunit := (blockCompress_isUnit e hA hU hc he hes (blockOff_positiveLine e hA hc he hl hP)).neg | |
| have hpd := (Matrix.nonneg_iff_posSemidef.mp hn).posDef_iff_isUnit.mpr hunit | |
| intro v hv | |
| have h := posDef_inner_pos hpd hv | |
| rw [map_neg,neg_apply,inner_neg_right] at h | |
| exact neg_pos.mp h | |
| end BlockLine | |
| end BorsukNine | |
| end OAI | |