url
stringclasses
147 values
commit
stringclasses
147 values
file_path
stringlengths
7
101
full_name
stringlengths
1
94
start
stringlengths
6
10
end
stringlengths
6
11
tactic
stringlengths
1
11.2k
state_before
stringlengths
3
2.09M
state_after
stringlengths
6
2.09M
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LogDet.lean
Matrix.LogDetAtom.cond_elim
[129, 1]
[137, 28]
have h_Ddet_le_Adet : D.det ≤ A.det := LogDetAtom.optimality_Ddet_le_Adet ht hD hZ hPSD
n : Type inst✝³ : Fintype n inst✝² : LinearOrder n inst✝¹ : LocallyFiniteOrderBot n 𝕜 : Type inst✝ : RCLike 𝕜 A : Matrix n n ℝ hA : A.PosDef t : n → ℝ Y Z D : Matrix n n ℝ ht : ∀ (i : n), (t i).exp ≤ Y.diag i hD : D = diagonal Y.diag hZ : Z = Y.toUpperTri hPSD : (D.fromBlocks Z Z.transpose A).PosSemidef h_D_pd : D.PosDef h_A_psd : A.PosSemidef ⊢ A.PosDef
n : Type inst✝³ : Fintype n inst✝² : LinearOrder n inst✝¹ : LocallyFiniteOrderBot n 𝕜 : Type inst✝ : RCLike 𝕜 A : Matrix n n ℝ hA : A.PosDef t : n → ℝ Y Z D : Matrix n n ℝ ht : ∀ (i : n), (t i).exp ≤ Y.diag i hD : D = diagonal Y.diag hZ : Z = Y.toUpperTri hPSD : (D.fromBlocks Z Z.transpose A).PosSemidef h_D_pd : D.PosDef h_A_psd : A.PosSemidef h_Ddet_le_Adet : D.det ≤ A.det ⊢ A.PosDef
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LogDet.lean
Matrix.LogDetAtom.cond_elim
[129, 1]
[137, 28]
have h_Adet_pos : 0 < A.det := lt_of_lt_of_le h_D_pd.det_pos h_Ddet_le_Adet
n : Type inst✝³ : Fintype n inst✝² : LinearOrder n inst✝¹ : LocallyFiniteOrderBot n 𝕜 : Type inst✝ : RCLike 𝕜 A : Matrix n n ℝ hA : A.PosDef t : n → ℝ Y Z D : Matrix n n ℝ ht : ∀ (i : n), (t i).exp ≤ Y.diag i hD : D = diagonal Y.diag hZ : Z = Y.toUpperTri hPSD : (D.fromBlocks Z Z.transpose A).PosSemidef h_D_pd : D.PosDef h_A_psd : A.PosSemidef h_Ddet_le_Adet : D.det ≤ A.det ⊢ A.PosDef
n : Type inst✝³ : Fintype n inst✝² : LinearOrder n inst✝¹ : LocallyFiniteOrderBot n 𝕜 : Type inst✝ : RCLike 𝕜 A : Matrix n n ℝ hA : A.PosDef t : n → ℝ Y Z D : Matrix n n ℝ ht : ∀ (i : n), (t i).exp ≤ Y.diag i hD : D = diagonal Y.diag hZ : Z = Y.toUpperTri hPSD : (D.fromBlocks Z Z.transpose A).PosSemidef h_D_pd : D.PosDef h_A_psd : A.PosSemidef h_Ddet_le_Adet : D.det ≤ A.det h_Adet_pos : 0 < A.det ⊢ A.PosDef
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LogDet.lean
Matrix.LogDetAtom.cond_elim
[129, 1]
[137, 28]
rw [h_A_psd.PosDef_iff_det_ne_zero]
n : Type inst✝³ : Fintype n inst✝² : LinearOrder n inst✝¹ : LocallyFiniteOrderBot n 𝕜 : Type inst✝ : RCLike 𝕜 A : Matrix n n ℝ hA : A.PosDef t : n → ℝ Y Z D : Matrix n n ℝ ht : ∀ (i : n), (t i).exp ≤ Y.diag i hD : D = diagonal Y.diag hZ : Z = Y.toUpperTri hPSD : (D.fromBlocks Z Z.transpose A).PosSemidef h_D_pd : D.PosDef h_A_psd : A.PosSemidef h_Ddet_le_Adet : D.det ≤ A.det h_Adet_pos : 0 < A.det ⊢ A.PosDef
n : Type inst✝³ : Fintype n inst✝² : LinearOrder n inst✝¹ : LocallyFiniteOrderBot n 𝕜 : Type inst✝ : RCLike 𝕜 A : Matrix n n ℝ hA : A.PosDef t : n → ℝ Y Z D : Matrix n n ℝ ht : ∀ (i : n), (t i).exp ≤ Y.diag i hD : D = diagonal Y.diag hZ : Z = Y.toUpperTri hPSD : (D.fromBlocks Z Z.transpose A).PosSemidef h_D_pd : D.PosDef h_A_psd : A.PosSemidef h_Ddet_le_Adet : D.det ≤ A.det h_Adet_pos : 0 < A.det ⊢ A.det ≠ 0
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LogDet.lean
Matrix.LogDetAtom.cond_elim
[129, 1]
[137, 28]
apply ne_of_gt h_Adet_pos
n : Type inst✝³ : Fintype n inst✝² : LinearOrder n inst✝¹ : LocallyFiniteOrderBot n 𝕜 : Type inst✝ : RCLike 𝕜 A : Matrix n n ℝ hA : A.PosDef t : n → ℝ Y Z D : Matrix n n ℝ ht : ∀ (i : n), (t i).exp ≤ Y.diag i hD : D = diagonal Y.diag hZ : Z = Y.toUpperTri hPSD : (D.fromBlocks Z Z.transpose A).PosSemidef h_D_pd : D.PosDef h_A_psd : A.PosSemidef h_Ddet_le_Adet : D.det ≤ A.det h_Adet_pos : 0 < A.det ⊢ A.det ≠ 0
no goals
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LogDet.lean
Matrix.LogDetAtom.optimality
[139, 1]
[148, 12]
have h_A_pd : A.PosDef := LogDetAtom.cond_elim ht hD hZ hPSD
n : Type inst✝³ : Fintype n inst✝² : LinearOrder n inst✝¹ : LocallyFiniteOrderBot n 𝕜 : Type inst✝ : RCLike 𝕜 A : Matrix n n ℝ hA : A.PosDef t : n → ℝ Y Z D : Matrix n n ℝ ht : ∀ (i : n), (t i).exp ≤ Y.diag i hD : D = diagonal Y.diag hZ : Z = Y.toUpperTri hPSD : (D.fromBlocks Z Z.transpose A).PosSemidef ⊢ ∑ i : n, t i ≤ A.det.log
n : Type inst✝³ : Fintype n inst✝² : LinearOrder n inst✝¹ : LocallyFiniteOrderBot n 𝕜 : Type inst✝ : RCLike 𝕜 A : Matrix n n ℝ hA : A.PosDef t : n → ℝ Y Z D : Matrix n n ℝ ht : ∀ (i : n), (t i).exp ≤ Y.diag i hD : D = diagonal Y.diag hZ : Z = Y.toUpperTri hPSD : (D.fromBlocks Z Z.transpose A).PosSemidef h_A_pd : A.PosDef ⊢ ∑ i : n, t i ≤ A.det.log
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LogDet.lean
Matrix.LogDetAtom.optimality
[139, 1]
[148, 12]
have h_Ddet_le_Adet : D.det ≤ A.det := LogDetAtom.optimality_Ddet_le_Adet ht hD hZ hPSD
n : Type inst✝³ : Fintype n inst✝² : LinearOrder n inst✝¹ : LocallyFiniteOrderBot n 𝕜 : Type inst✝ : RCLike 𝕜 A : Matrix n n ℝ hA : A.PosDef t : n → ℝ Y Z D : Matrix n n ℝ ht : ∀ (i : n), (t i).exp ≤ Y.diag i hD : D = diagonal Y.diag hZ : Z = Y.toUpperTri hPSD : (D.fromBlocks Z Z.transpose A).PosSemidef h_A_pd : A.PosDef ⊢ ∑ i : n, t i ≤ A.det.log
n : Type inst✝³ : Fintype n inst✝² : LinearOrder n inst✝¹ : LocallyFiniteOrderBot n 𝕜 : Type inst✝ : RCLike 𝕜 A : Matrix n n ℝ hA : A.PosDef t : n → ℝ Y Z D : Matrix n n ℝ ht : ∀ (i : n), (t i).exp ≤ Y.diag i hD : D = diagonal Y.diag hZ : Z = Y.toUpperTri hPSD : (D.fromBlocks Z Z.transpose A).PosSemidef h_A_pd : A.PosDef h_Ddet_le_Adet : D.det ≤ A.det ⊢ ∑ i : n, t i ≤ A.det.log
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LogDet.lean
Matrix.LogDetAtom.optimality
[139, 1]
[148, 12]
have h_Adet_pos: 0 < A.det := h_A_pd.det_pos
n : Type inst✝³ : Fintype n inst✝² : LinearOrder n inst✝¹ : LocallyFiniteOrderBot n 𝕜 : Type inst✝ : RCLike 𝕜 A : Matrix n n ℝ hA : A.PosDef t : n → ℝ Y Z D : Matrix n n ℝ ht : ∀ (i : n), (t i).exp ≤ Y.diag i hD : D = diagonal Y.diag hZ : Z = Y.toUpperTri hPSD : (D.fromBlocks Z Z.transpose A).PosSemidef h_A_pd : A.PosDef h_Ddet_le_Adet : D.det ≤ A.det ⊢ ∑ i : n, t i ≤ A.det.log
n : Type inst✝³ : Fintype n inst✝² : LinearOrder n inst✝¹ : LocallyFiniteOrderBot n 𝕜 : Type inst✝ : RCLike 𝕜 A : Matrix n n ℝ hA : A.PosDef t : n → ℝ Y Z D : Matrix n n ℝ ht : ∀ (i : n), (t i).exp ≤ Y.diag i hD : D = diagonal Y.diag hZ : Z = Y.toUpperTri hPSD : (D.fromBlocks Z Z.transpose A).PosSemidef h_A_pd : A.PosDef h_Ddet_le_Adet : D.det ≤ A.det h_Adet_pos : 0 < A.det ⊢ ∑ i : n, t i ≤ A.det.log
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LogDet.lean
Matrix.LogDetAtom.optimality
[139, 1]
[148, 12]
rw [← Real.exp_le_exp, Real.exp_sum, Real.exp_log h_Adet_pos]
n : Type inst✝³ : Fintype n inst✝² : LinearOrder n inst✝¹ : LocallyFiniteOrderBot n 𝕜 : Type inst✝ : RCLike 𝕜 A : Matrix n n ℝ hA : A.PosDef t : n → ℝ Y Z D : Matrix n n ℝ ht : ∀ (i : n), (t i).exp ≤ Y.diag i hD : D = diagonal Y.diag hZ : Z = Y.toUpperTri hPSD : (D.fromBlocks Z Z.transpose A).PosSemidef h_A_pd : A.PosDef h_Ddet_le_Adet : D.det ≤ A.det h_Adet_pos : 0 < A.det ⊢ ∑ i : n, t i ≤ A.det.log
n : Type inst✝³ : Fintype n inst✝² : LinearOrder n inst✝¹ : LocallyFiniteOrderBot n 𝕜 : Type inst✝ : RCLike 𝕜 A : Matrix n n ℝ hA : A.PosDef t : n → ℝ Y Z D : Matrix n n ℝ ht : ∀ (i : n), (t i).exp ≤ Y.diag i hD : D = diagonal Y.diag hZ : Z = Y.toUpperTri hPSD : (D.fromBlocks Z Z.transpose A).PosSemidef h_A_pd : A.PosDef h_Ddet_le_Adet : D.det ≤ A.det h_Adet_pos : 0 < A.det ⊢ ∏ x : n, (t x).exp ≤ A.det
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LogDet.lean
Matrix.LogDetAtom.optimality
[139, 1]
[148, 12]
apply le_trans (Finset.prod_le_prod (fun i _ => le_of_lt ((t i).exp_pos)) (fun i _ => ht i))
n : Type inst✝³ : Fintype n inst✝² : LinearOrder n inst✝¹ : LocallyFiniteOrderBot n 𝕜 : Type inst✝ : RCLike 𝕜 A : Matrix n n ℝ hA : A.PosDef t : n → ℝ Y Z D : Matrix n n ℝ ht : ∀ (i : n), (t i).exp ≤ Y.diag i hD : D = diagonal Y.diag hZ : Z = Y.toUpperTri hPSD : (D.fromBlocks Z Z.transpose A).PosSemidef h_A_pd : A.PosDef h_Ddet_le_Adet : D.det ≤ A.det h_Adet_pos : 0 < A.det ⊢ ∏ x : n, (t x).exp ≤ A.det
n : Type inst✝³ : Fintype n inst✝² : LinearOrder n inst✝¹ : LocallyFiniteOrderBot n 𝕜 : Type inst✝ : RCLike 𝕜 A : Matrix n n ℝ hA : A.PosDef t : n → ℝ Y Z D : Matrix n n ℝ ht : ∀ (i : n), (t i).exp ≤ Y.diag i hD : D = diagonal Y.diag hZ : Z = Y.toUpperTri hPSD : (D.fromBlocks Z Z.transpose A).PosSemidef h_A_pd : A.PosDef h_Ddet_le_Adet : D.det ≤ A.det h_Adet_pos : 0 < A.det ⊢ ∏ i : n, Y.diag i ≤ A.det
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LogDet.lean
Matrix.LogDetAtom.optimality
[139, 1]
[148, 12]
convert h_Ddet_le_Adet
n : Type inst✝³ : Fintype n inst✝² : LinearOrder n inst✝¹ : LocallyFiniteOrderBot n 𝕜 : Type inst✝ : RCLike 𝕜 A : Matrix n n ℝ hA : A.PosDef t : n → ℝ Y Z D : Matrix n n ℝ ht : ∀ (i : n), (t i).exp ≤ Y.diag i hD : D = diagonal Y.diag hZ : Z = Y.toUpperTri hPSD : (D.fromBlocks Z Z.transpose A).PosSemidef h_A_pd : A.PosDef h_Ddet_le_Adet : D.det ≤ A.det h_Adet_pos : 0 < A.det ⊢ ∏ i : n, Y.diag i ≤ A.det
case h.e'_3 n : Type inst✝³ : Fintype n inst✝² : LinearOrder n inst✝¹ : LocallyFiniteOrderBot n 𝕜 : Type inst✝ : RCLike 𝕜 A : Matrix n n ℝ hA : A.PosDef t : n → ℝ Y Z D : Matrix n n ℝ ht : ∀ (i : n), (t i).exp ≤ Y.diag i hD : D = diagonal Y.diag hZ : Z = Y.toUpperTri hPSD : (D.fromBlocks Z Z.transpose A).PosSemidef h_A_pd : A.PosDef h_Ddet_le_Adet : D.det ≤ A.det h_Adet_pos : 0 < A.det ⊢ ∏ i : n, Y.diag i = D.det
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LogDet.lean
Matrix.LogDetAtom.optimality
[139, 1]
[148, 12]
simp [hD]
case h.e'_3 n : Type inst✝³ : Fintype n inst✝² : LinearOrder n inst✝¹ : LocallyFiniteOrderBot n 𝕜 : Type inst✝ : RCLike 𝕜 A : Matrix n n ℝ hA : A.PosDef t : n → ℝ Y Z D : Matrix n n ℝ ht : ∀ (i : n), (t i).exp ≤ Y.diag i hD : D = diagonal Y.diag hZ : Z = Y.toUpperTri hPSD : (D.fromBlocks Z Z.transpose A).PosSemidef h_A_pd : A.PosDef h_Ddet_le_Adet : D.det ≤ A.det h_Adet_pos : 0 < A.det ⊢ ∏ i : n, Y.diag i = D.det
no goals
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Eigenspace.lean
Module.End.eigenspace_add
[17, 1]
[24, 73]
rintro x ⟨hf, hg⟩
K R : Type v V M : Type w inst✝⁵ : CommRing R inst✝⁴ : AddCommGroup M inst✝³ : Module R M inst✝² : Field K inst✝¹ : AddCommGroup V inst✝ : Module K V f g : End R M a b : R ⊢ f.eigenspace a ⊓ g.eigenspace b ≤ (f + g).eigenspace (a + b)
case intro K R : Type v V M : Type w inst✝⁵ : CommRing R inst✝⁴ : AddCommGroup M inst✝³ : Module R M inst✝² : Field K inst✝¹ : AddCommGroup V inst✝ : Module K V f g : End R M a b : R x : M hf : x ∈ ↑(f.eigenspace a) hg : x ∈ ↑(g.eigenspace b) ⊢ x ∈ (f + g).eigenspace (a + b)
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Eigenspace.lean
Module.End.eigenspace_add
[17, 1]
[24, 73]
simp only [eigenspace, SetLike.mem_coe, LinearMap.mem_ker, LinearMap.sub_apply, algebraMap_end_apply] at hf hg
case intro K R : Type v V M : Type w inst✝⁵ : CommRing R inst✝⁴ : AddCommGroup M inst✝³ : Module R M inst✝² : Field K inst✝¹ : AddCommGroup V inst✝ : Module K V f g : End R M a b : R x : M hf : x ∈ ↑(f.eigenspace a) hg : x ∈ ↑(g.eigenspace b) ⊢ x ∈ (f + g).eigenspace (a + b)
case intro K R : Type v V M : Type w inst✝⁵ : CommRing R inst✝⁴ : AddCommGroup M inst✝³ : Module R M inst✝² : Field K inst✝¹ : AddCommGroup V inst✝ : Module K V f g : End R M a b : R x : M hf : f x - a • x = 0 hg : g x - b • x = 0 ⊢ x ∈ (f + g).eigenspace (a + b)
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Eigenspace.lean
Module.End.eigenspace_add
[17, 1]
[24, 73]
simp only [eigenspace, map_add, LinearMap.mem_ker, LinearMap.sub_apply, LinearMap.add_apply, algebraMap_end_apply]
case intro K R : Type v V M : Type w inst✝⁵ : CommRing R inst✝⁴ : AddCommGroup M inst✝³ : Module R M inst✝² : Field K inst✝¹ : AddCommGroup V inst✝ : Module K V f g : End R M a b : R x : M hf : f x - a • x = 0 hg : g x - b • x = 0 ⊢ x ∈ (f + g).eigenspace (a + b)
case intro K R : Type v V M : Type w inst✝⁵ : CommRing R inst✝⁴ : AddCommGroup M inst✝³ : Module R M inst✝² : Field K inst✝¹ : AddCommGroup V inst✝ : Module K V f g : End R M a b : R x : M hf : f x - a • x = 0 hg : g x - b • x = 0 ⊢ f x + g x - (a • x + b • x) = 0
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Eigenspace.lean
Module.End.eigenspace_add
[17, 1]
[24, 73]
rw [← add_sub, add_comm (a • x), ← sub_sub, hg, add_sub, add_zero, hf]
case intro K R : Type v V M : Type w inst✝⁵ : CommRing R inst✝⁴ : AddCommGroup M inst✝³ : Module R M inst✝² : Field K inst✝¹ : AddCommGroup V inst✝ : Module K V f g : End R M a b : R x : M hf : f x - a • x = 0 hg : g x - b • x = 0 ⊢ f x + g x - (a • x + b • x) = 0
no goals
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Eigenspace.lean
Module.End.eigenspace_one
[26, 1]
[29, 64]
apply eq_top_iff.2
K R : Type v V M : Type w inst✝⁵ : CommRing R inst✝⁴ : AddCommGroup M inst✝³ : Module R M inst✝² : Field K inst✝¹ : AddCommGroup V inst✝ : Module K V ⊢ eigenspace 1 1 = ⊤
K R : Type v V M : Type w inst✝⁵ : CommRing R inst✝⁴ : AddCommGroup M inst✝³ : Module R M inst✝² : Field K inst✝¹ : AddCommGroup V inst✝ : Module K V ⊢ ⊤ ≤ eigenspace 1 1
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Eigenspace.lean
Module.End.eigenspace_one
[26, 1]
[29, 64]
intros x _
K R : Type v V M : Type w inst✝⁵ : CommRing R inst✝⁴ : AddCommGroup M inst✝³ : Module R M inst✝² : Field K inst✝¹ : AddCommGroup V inst✝ : Module K V ⊢ ⊤ ≤ eigenspace 1 1
K R : Type v V M : Type w inst✝⁵ : CommRing R inst✝⁴ : AddCommGroup M inst✝³ : Module R M inst✝² : Field K inst✝¹ : AddCommGroup V inst✝ : Module K V x : M a✝ : x ∈ ⊤ ⊢ x ∈ eigenspace 1 1
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Eigenspace.lean
Module.End.eigenspace_one
[26, 1]
[29, 64]
simp only [mem_eigenspace_iff, LinearMap.one_apply, one_smul]
K R : Type v V M : Type w inst✝⁵ : CommRing R inst✝⁴ : AddCommGroup M inst✝³ : Module R M inst✝² : Field K inst✝¹ : AddCommGroup V inst✝ : Module K V x : M a✝ : x ∈ ⊤ ⊢ x ∈ eigenspace 1 1
no goals
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Eigenspace.lean
Module.End.has_eigenvector_one
[35, 1]
[36, 60]
rw [eigenspace_one]
K R : Type v V M : Type w inst✝⁵ : CommRing R inst✝⁴ : AddCommGroup M inst✝³ : Module R M inst✝² : Field K inst✝¹ : AddCommGroup V inst✝ : Module K V x : M hx : x ≠ 0 ⊢ x ∈ eigenspace 1 1
K R : Type v V M : Type w inst✝⁵ : CommRing R inst✝⁴ : AddCommGroup M inst✝³ : Module R M inst✝² : Field K inst✝¹ : AddCommGroup V inst✝ : Module K V x : M hx : x ≠ 0 ⊢ x ∈ ⊤
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Eigenspace.lean
Module.End.has_eigenvector_one
[35, 1]
[36, 60]
apply Submodule.mem_top
K R : Type v V M : Type w inst✝⁵ : CommRing R inst✝⁴ : AddCommGroup M inst✝³ : Module R M inst✝² : Field K inst✝¹ : AddCommGroup V inst✝ : Module K V x : M hx : x ≠ 0 ⊢ x ∈ ⊤
no goals
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Relaxation.lean
Minimization.Relaxation.induces_original_problem_optimality
[57, 1]
[66, 41]
refine ⟨h_feas_y, ?_⟩
D E F R : Type inst✝ : Preorder R p : Minimization D R q : Minimization E R r : Minimization F R Rx : p.Relaxation q phi_inv : E → D phi_left_inv : Function.LeftInverse Rx.phi phi_inv h_objFun : ∀ (x : D), p.feasible x → p.objFun x = q.objFun (Rx.phi x) y : E h_opt_y : q.optimal y h_feas_y : p.feasible (phi_inv y) ⊢ p.optimal (phi_inv y)
D E F R : Type inst✝ : Preorder R p : Minimization D R q : Minimization E R r : Minimization F R Rx : p.Relaxation q phi_inv : E → D phi_left_inv : Function.LeftInverse Rx.phi phi_inv h_objFun : ∀ (x : D), p.feasible x → p.objFun x = q.objFun (Rx.phi x) y : E h_opt_y : q.optimal y h_feas_y : p.feasible (phi_inv y) ⊢ ∀ (y_1 : D), p.feasible y_1 → p.objFun (phi_inv y) ≤ p.objFun y_1
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Relaxation.lean
Minimization.Relaxation.induces_original_problem_optimality
[57, 1]
[66, 41]
intros x h_feas_x
D E F R : Type inst✝ : Preorder R p : Minimization D R q : Minimization E R r : Minimization F R Rx : p.Relaxation q phi_inv : E → D phi_left_inv : Function.LeftInverse Rx.phi phi_inv h_objFun : ∀ (x : D), p.feasible x → p.objFun x = q.objFun (Rx.phi x) y : E h_opt_y : q.optimal y h_feas_y : p.feasible (phi_inv y) ⊢ ∀ (y_1 : D), p.feasible y_1 → p.objFun (phi_inv y) ≤ p.objFun y_1
D E F R : Type inst✝ : Preorder R p : Minimization D R q : Minimization E R r : Minimization F R Rx : p.Relaxation q phi_inv : E → D phi_left_inv : Function.LeftInverse Rx.phi phi_inv h_objFun : ∀ (x : D), p.feasible x → p.objFun x = q.objFun (Rx.phi x) y : E h_opt_y : q.optimal y h_feas_y : p.feasible (phi_inv y) x : D h_feas_x : p.feasible x ⊢ p.objFun (phi_inv y) ≤ p.objFun x
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Relaxation.lean
Minimization.Relaxation.induces_original_problem_optimality
[57, 1]
[66, 41]
rw [h_objFun _ h_feas_y, phi_left_inv]
D E F R : Type inst✝ : Preorder R p : Minimization D R q : Minimization E R r : Minimization F R Rx : p.Relaxation q phi_inv : E → D phi_left_inv : Function.LeftInverse Rx.phi phi_inv h_objFun : ∀ (x : D), p.feasible x → p.objFun x = q.objFun (Rx.phi x) y : E h_opt_y : q.optimal y h_feas_y : p.feasible (phi_inv y) x : D h_feas_x : p.feasible x ⊢ p.objFun (phi_inv y) ≤ p.objFun x
D E F R : Type inst✝ : Preorder R p : Minimization D R q : Minimization E R r : Minimization F R Rx : p.Relaxation q phi_inv : E → D phi_left_inv : Function.LeftInverse Rx.phi phi_inv h_objFun : ∀ (x : D), p.feasible x → p.objFun x = q.objFun (Rx.phi x) y : E h_opt_y : q.optimal y h_feas_y : p.feasible (phi_inv y) x : D h_feas_x : p.feasible x ⊢ q.objFun y ≤ p.objFun x
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Relaxation.lean
Minimization.Relaxation.induces_original_problem_optimality
[57, 1]
[66, 41]
have h_bound := h_opt_y.2 (Rx.phi x) (Rx.phi_feasibility x h_feas_x)
D E F R : Type inst✝ : Preorder R p : Minimization D R q : Minimization E R r : Minimization F R Rx : p.Relaxation q phi_inv : E → D phi_left_inv : Function.LeftInverse Rx.phi phi_inv h_objFun : ∀ (x : D), p.feasible x → p.objFun x = q.objFun (Rx.phi x) y : E h_opt_y : q.optimal y h_feas_y : p.feasible (phi_inv y) x : D h_feas_x : p.feasible x ⊢ q.objFun y ≤ p.objFun x
D E F R : Type inst✝ : Preorder R p : Minimization D R q : Minimization E R r : Minimization F R Rx : p.Relaxation q phi_inv : E → D phi_left_inv : Function.LeftInverse Rx.phi phi_inv h_objFun : ∀ (x : D), p.feasible x → p.objFun x = q.objFun (Rx.phi x) y : E h_opt_y : q.optimal y h_feas_y : p.feasible (phi_inv y) x : D h_feas_x : p.feasible x h_bound : q.objFun y ≤ q.objFun (Rx.phi x) ⊢ q.objFun y ≤ p.objFun x
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Relaxation.lean
Minimization.Relaxation.induces_original_problem_optimality
[57, 1]
[66, 41]
rwa [← h_objFun _ h_feas_x] at h_bound
D E F R : Type inst✝ : Preorder R p : Minimization D R q : Minimization E R r : Minimization F R Rx : p.Relaxation q phi_inv : E → D phi_left_inv : Function.LeftInverse Rx.phi phi_inv h_objFun : ∀ (x : D), p.feasible x → p.objFun x = q.objFun (Rx.phi x) y : E h_opt_y : q.optimal y h_feas_y : p.feasible (phi_inv y) x : D h_feas_x : p.feasible x h_bound : q.objFun y ≤ q.objFun (Rx.phi x) ⊢ q.objFun y ≤ p.objFun x
no goals
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.schur_complement_eq₁₁
[28, 1]
[37, 7]
simp [Function.star_sum_elim, fromBlocks_mulVec, vecMul_fromBlocks, add_vecMul, dotProduct_mulVec, vecMul_sub, Matrix.mul_assoc, vecMul_mulVec, hA.eq, conjTranspose_nonsing_inv, star_mulVec]
n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 x : m → 𝕜 y : n → 𝕜 inst✝ : Invertible A hA : A.IsHermitian ⊢ star (x ⊕ᵥ y) ᵥ* A.fromBlocks B B.conjTranspose D ⬝ᵥ (x ⊕ᵥ y) = star (x + (A⁻¹ * B).mulVec y) ᵥ* A ⬝ᵥ (x + (A⁻¹ * B).mulVec y) + star y ᵥ* (D - B.conjTranspose * A⁻¹ * B) ⬝ᵥ y
n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 x : m → 𝕜 y : n → 𝕜 inst✝ : Invertible A hA : A.IsHermitian ⊢ star x ᵥ* A ⬝ᵥ x + star y ᵥ* B.conjTranspose ⬝ᵥ x + (star x ᵥ* B ⬝ᵥ y + star y ᵥ* D ⬝ᵥ y) = star x ᵥ* A ⬝ᵥ x + star y ᵥ* B.conjTranspose ⬝ᵥ x + (star x ᵥ* B ⬝ᵥ y + star y ᵥ* (B.conjTranspose * (A⁻¹ * B)) ⬝ᵥ y) + (star y ᵥ* D ⬝ᵥ y - star y ᵥ* (B.conjTranspose * (A⁻¹ * B)) ⬝ᵥ y)
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.schur_complement_eq₁₁
[28, 1]
[37, 7]
abel
n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 x : m → 𝕜 y : n → 𝕜 inst✝ : Invertible A hA : A.IsHermitian ⊢ star x ᵥ* A ⬝ᵥ x + star y ᵥ* B.conjTranspose ⬝ᵥ x + (star x ᵥ* B ⬝ᵥ y + star y ᵥ* D ⬝ᵥ y) = star x ᵥ* A ⬝ᵥ x + star y ᵥ* B.conjTranspose ⬝ᵥ x + (star x ᵥ* B ⬝ᵥ y + star y ᵥ* (B.conjTranspose * (A⁻¹ * B)) ⬝ᵥ y) + (star y ᵥ* D ⬝ᵥ y - star y ᵥ* (B.conjTranspose * (A⁻¹ * B)) ⬝ᵥ y)
no goals
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.schur_complement_eq₂₂
[39, 1]
[48, 7]
simp [Function.star_sum_elim, fromBlocks_mulVec, vecMul_fromBlocks, add_vecMul, dotProduct_mulVec, vecMul_sub, Matrix.mul_assoc, vecMul_mulVec, hD.eq, conjTranspose_nonsing_inv, star_mulVec]
n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : Fintype n inst✝¹ : DecidableEq n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 x : m → 𝕜 y : n → 𝕜 inst✝ : Invertible D hD : D.IsHermitian ⊢ star (x ⊕ᵥ y) ᵥ* A.fromBlocks B B.conjTranspose D ⬝ᵥ (x ⊕ᵥ y) = star ((D⁻¹ * B.conjTranspose).mulVec x + y) ᵥ* D ⬝ᵥ ((D⁻¹ * B.conjTranspose).mulVec x + y) + star x ᵥ* (A - B * D⁻¹ * B.conjTranspose) ⬝ᵥ x
n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : Fintype n inst✝¹ : DecidableEq n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 x : m → 𝕜 y : n → 𝕜 inst✝ : Invertible D hD : D.IsHermitian ⊢ star x ᵥ* A ⬝ᵥ x + star y ᵥ* B.conjTranspose ⬝ᵥ x + (star x ᵥ* B ⬝ᵥ y + star y ᵥ* D ⬝ᵥ y) = star x ᵥ* (B * (D⁻¹ * B.conjTranspose)) ⬝ᵥ x + star y ᵥ* B.conjTranspose ⬝ᵥ x + (star x ᵥ* B ⬝ᵥ y + star y ᵥ* D ⬝ᵥ y) + (star x ᵥ* A ⬝ᵥ x - star x ᵥ* (B * (D⁻¹ * B.conjTranspose)) ⬝ᵥ x)
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.schur_complement_eq₂₂
[39, 1]
[48, 7]
abel
n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : Fintype n inst✝¹ : DecidableEq n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 x : m → 𝕜 y : n → 𝕜 inst✝ : Invertible D hD : D.IsHermitian ⊢ star x ᵥ* A ⬝ᵥ x + star y ᵥ* B.conjTranspose ⬝ᵥ x + (star x ᵥ* B ⬝ᵥ y + star y ᵥ* D ⬝ᵥ y) = star x ᵥ* (B * (D⁻¹ * B.conjTranspose)) ⬝ᵥ x + star y ᵥ* B.conjTranspose ⬝ᵥ x + (star x ᵥ* B ⬝ᵥ y + star y ᵥ* D ⬝ᵥ y) + (star x ᵥ* A ⬝ᵥ x - star x ᵥ* (B * (D⁻¹ * B.conjTranspose)) ⬝ᵥ x)
no goals
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.IsHermitian.fromBlocks₁₁
[50, 1]
[63, 33]
have hBAB : (Bᴴ * A⁻¹ * B).IsHermitian := by apply isHermitian_conjTranspose_mul_mul apply hA.inv
n : Type u_3 m : Type u_1 𝕜 : Type u_2 inst✝² : RCLike 𝕜 inst✝¹ : Fintype m inst✝ : DecidableEq m A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.IsHermitian ⊢ (A.fromBlocks B B.conjTranspose D).IsHermitian ↔ (D - B.conjTranspose * A⁻¹ * B).IsHermitian
n : Type u_3 m : Type u_1 𝕜 : Type u_2 inst✝² : RCLike 𝕜 inst✝¹ : Fintype m inst✝ : DecidableEq m A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.IsHermitian hBAB : (B.conjTranspose * A⁻¹ * B).IsHermitian ⊢ (A.fromBlocks B B.conjTranspose D).IsHermitian ↔ (D - B.conjTranspose * A⁻¹ * B).IsHermitian
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.IsHermitian.fromBlocks₁₁
[50, 1]
[63, 33]
rw [isHermitian_fromBlocks_iff]
n : Type u_3 m : Type u_1 𝕜 : Type u_2 inst✝² : RCLike 𝕜 inst✝¹ : Fintype m inst✝ : DecidableEq m A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.IsHermitian hBAB : (B.conjTranspose * A⁻¹ * B).IsHermitian ⊢ (A.fromBlocks B B.conjTranspose D).IsHermitian ↔ (D - B.conjTranspose * A⁻¹ * B).IsHermitian
n : Type u_3 m : Type u_1 𝕜 : Type u_2 inst✝² : RCLike 𝕜 inst✝¹ : Fintype m inst✝ : DecidableEq m A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.IsHermitian hBAB : (B.conjTranspose * A⁻¹ * B).IsHermitian ⊢ A.IsHermitian ∧ B.conjTranspose = B.conjTranspose ∧ B.conjTranspose.conjTranspose = B ∧ D.IsHermitian ↔ (D - B.conjTranspose * A⁻¹ * B).IsHermitian
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.IsHermitian.fromBlocks₁₁
[50, 1]
[63, 33]
constructor
n : Type u_3 m : Type u_1 𝕜 : Type u_2 inst✝² : RCLike 𝕜 inst✝¹ : Fintype m inst✝ : DecidableEq m A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.IsHermitian hBAB : (B.conjTranspose * A⁻¹ * B).IsHermitian ⊢ A.IsHermitian ∧ B.conjTranspose = B.conjTranspose ∧ B.conjTranspose.conjTranspose = B ∧ D.IsHermitian ↔ (D - B.conjTranspose * A⁻¹ * B).IsHermitian
case mp n : Type u_3 m : Type u_1 𝕜 : Type u_2 inst✝² : RCLike 𝕜 inst✝¹ : Fintype m inst✝ : DecidableEq m A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.IsHermitian hBAB : (B.conjTranspose * A⁻¹ * B).IsHermitian ⊢ A.IsHermitian ∧ B.conjTranspose = B.conjTranspose ∧ B.conjTranspose.conjTranspose = B ∧ D.IsHermitian → (D - B.conjTranspose * A⁻¹ * B).IsHermitian case mpr n : Type u_3 m : Type u_1 𝕜 : Type u_2 inst✝² : RCLike 𝕜 inst✝¹ : Fintype m inst✝ : DecidableEq m A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.IsHermitian hBAB : (B.conjTranspose * A⁻¹ * B).IsHermitian ⊢ (D - B.conjTranspose * A⁻¹ * B).IsHermitian → A.IsHermitian ∧ B.conjTranspose = B.conjTranspose ∧ B.conjTranspose.conjTranspose = B ∧ D.IsHermitian
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.IsHermitian.fromBlocks₁₁
[50, 1]
[63, 33]
apply isHermitian_conjTranspose_mul_mul
n : Type u_3 m : Type u_1 𝕜 : Type u_2 inst✝² : RCLike 𝕜 inst✝¹ : Fintype m inst✝ : DecidableEq m A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.IsHermitian ⊢ (B.conjTranspose * A⁻¹ * B).IsHermitian
case hA n : Type u_3 m : Type u_1 𝕜 : Type u_2 inst✝² : RCLike 𝕜 inst✝¹ : Fintype m inst✝ : DecidableEq m A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.IsHermitian ⊢ A⁻¹.IsHermitian
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.IsHermitian.fromBlocks₁₁
[50, 1]
[63, 33]
apply hA.inv
case hA n : Type u_3 m : Type u_1 𝕜 : Type u_2 inst✝² : RCLike 𝕜 inst✝¹ : Fintype m inst✝ : DecidableEq m A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.IsHermitian ⊢ A⁻¹.IsHermitian
no goals
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.IsHermitian.fromBlocks₁₁
[50, 1]
[63, 33]
intro h
case mp n : Type u_3 m : Type u_1 𝕜 : Type u_2 inst✝² : RCLike 𝕜 inst✝¹ : Fintype m inst✝ : DecidableEq m A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.IsHermitian hBAB : (B.conjTranspose * A⁻¹ * B).IsHermitian ⊢ A.IsHermitian ∧ B.conjTranspose = B.conjTranspose ∧ B.conjTranspose.conjTranspose = B ∧ D.IsHermitian → (D - B.conjTranspose * A⁻¹ * B).IsHermitian
case mp n : Type u_3 m : Type u_1 𝕜 : Type u_2 inst✝² : RCLike 𝕜 inst✝¹ : Fintype m inst✝ : DecidableEq m A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.IsHermitian hBAB : (B.conjTranspose * A⁻¹ * B).IsHermitian h : A.IsHermitian ∧ B.conjTranspose = B.conjTranspose ∧ B.conjTranspose.conjTranspose = B ∧ D.IsHermitian ⊢ (D - B.conjTranspose * A⁻¹ * B).IsHermitian
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.IsHermitian.fromBlocks₁₁
[50, 1]
[63, 33]
apply IsHermitian.sub h.2.2.2 hBAB
case mp n : Type u_3 m : Type u_1 𝕜 : Type u_2 inst✝² : RCLike 𝕜 inst✝¹ : Fintype m inst✝ : DecidableEq m A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.IsHermitian hBAB : (B.conjTranspose * A⁻¹ * B).IsHermitian h : A.IsHermitian ∧ B.conjTranspose = B.conjTranspose ∧ B.conjTranspose.conjTranspose = B ∧ D.IsHermitian ⊢ (D - B.conjTranspose * A⁻¹ * B).IsHermitian
no goals
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.IsHermitian.fromBlocks₁₁
[50, 1]
[63, 33]
intro h
case mpr n : Type u_3 m : Type u_1 𝕜 : Type u_2 inst✝² : RCLike 𝕜 inst✝¹ : Fintype m inst✝ : DecidableEq m A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.IsHermitian hBAB : (B.conjTranspose * A⁻¹ * B).IsHermitian ⊢ (D - B.conjTranspose * A⁻¹ * B).IsHermitian → A.IsHermitian ∧ B.conjTranspose = B.conjTranspose ∧ B.conjTranspose.conjTranspose = B ∧ D.IsHermitian
case mpr n : Type u_3 m : Type u_1 𝕜 : Type u_2 inst✝² : RCLike 𝕜 inst✝¹ : Fintype m inst✝ : DecidableEq m A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.IsHermitian hBAB : (B.conjTranspose * A⁻¹ * B).IsHermitian h : (D - B.conjTranspose * A⁻¹ * B).IsHermitian ⊢ A.IsHermitian ∧ B.conjTranspose = B.conjTranspose ∧ B.conjTranspose.conjTranspose = B ∧ D.IsHermitian
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.IsHermitian.fromBlocks₁₁
[50, 1]
[63, 33]
refine' ⟨hA, rfl, conjTranspose_conjTranspose B, _⟩
case mpr n : Type u_3 m : Type u_1 𝕜 : Type u_2 inst✝² : RCLike 𝕜 inst✝¹ : Fintype m inst✝ : DecidableEq m A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.IsHermitian hBAB : (B.conjTranspose * A⁻¹ * B).IsHermitian h : (D - B.conjTranspose * A⁻¹ * B).IsHermitian ⊢ A.IsHermitian ∧ B.conjTranspose = B.conjTranspose ∧ B.conjTranspose.conjTranspose = B ∧ D.IsHermitian
case mpr n : Type u_3 m : Type u_1 𝕜 : Type u_2 inst✝² : RCLike 𝕜 inst✝¹ : Fintype m inst✝ : DecidableEq m A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.IsHermitian hBAB : (B.conjTranspose * A⁻¹ * B).IsHermitian h : (D - B.conjTranspose * A⁻¹ * B).IsHermitian ⊢ D.IsHermitian
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.IsHermitian.fromBlocks₁₁
[50, 1]
[63, 33]
rw [← sub_add_cancel D]
case mpr n : Type u_3 m : Type u_1 𝕜 : Type u_2 inst✝² : RCLike 𝕜 inst✝¹ : Fintype m inst✝ : DecidableEq m A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.IsHermitian hBAB : (B.conjTranspose * A⁻¹ * B).IsHermitian h : (D - B.conjTranspose * A⁻¹ * B).IsHermitian ⊢ D.IsHermitian
case mpr n : Type u_3 m : Type u_1 𝕜 : Type u_2 inst✝² : RCLike 𝕜 inst✝¹ : Fintype m inst✝ : DecidableEq m A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.IsHermitian hBAB : (B.conjTranspose * A⁻¹ * B).IsHermitian h : (D - B.conjTranspose * A⁻¹ * B).IsHermitian ⊢ (D - ?mpr + ?mpr).IsHermitian case mpr n : Type u_3 m : Type u_1 𝕜 : Type u_2 inst✝² : RCLike 𝕜 inst✝¹ : Fintype m inst✝ : DecidableEq m A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.IsHermitian hBAB : (B.conjTranspose * A⁻¹ * B).IsHermitian h : (D - B.conjTranspose * A⁻¹ * B).IsHermitian ⊢ Matrix n n 𝕜
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.IsHermitian.fromBlocks₁₁
[50, 1]
[63, 33]
apply IsHermitian.add h hBAB
case mpr n : Type u_3 m : Type u_1 𝕜 : Type u_2 inst✝² : RCLike 𝕜 inst✝¹ : Fintype m inst✝ : DecidableEq m A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.IsHermitian hBAB : (B.conjTranspose * A⁻¹ * B).IsHermitian h : (D - B.conjTranspose * A⁻¹ * B).IsHermitian ⊢ (D - ?mpr + ?mpr).IsHermitian case mpr n : Type u_3 m : Type u_1 𝕜 : Type u_2 inst✝² : RCLike 𝕜 inst✝¹ : Fintype m inst✝ : DecidableEq m A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.IsHermitian hBAB : (B.conjTranspose * A⁻¹ * B).IsHermitian h : (D - B.conjTranspose * A⁻¹ * B).IsHermitian ⊢ Matrix n n 𝕜
no goals
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.IsHermitian.fromBlocks₂₂
[65, 1]
[70, 79]
rw [← isHermitian_submatrix_equiv (Equiv.sumComm n m), Equiv.sumComm_apply, fromBlocks_submatrix_sum_swap_sum_swap]
n : Type u_1 m : Type u_2 𝕜 : Type u_3 inst✝² : RCLike 𝕜 inst✝¹ : Fintype n inst✝ : DecidableEq n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hD : D.IsHermitian ⊢ (A.fromBlocks B B.conjTranspose D).IsHermitian ↔ (A - B * D⁻¹ * B.conjTranspose).IsHermitian
n : Type u_1 m : Type u_2 𝕜 : Type u_3 inst✝² : RCLike 𝕜 inst✝¹ : Fintype n inst✝ : DecidableEq n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hD : D.IsHermitian ⊢ (D.fromBlocks B.conjTranspose B A).IsHermitian ↔ (A - B * D⁻¹ * B.conjTranspose).IsHermitian
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.IsHermitian.fromBlocks₂₂
[65, 1]
[70, 79]
convert IsHermitian.fromBlocks₁₁ _ _ hD <;> rw [conjTranspose_conjTranspose]
n : Type u_1 m : Type u_2 𝕜 : Type u_3 inst✝² : RCLike 𝕜 inst✝¹ : Fintype n inst✝ : DecidableEq n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hD : D.IsHermitian ⊢ (D.fromBlocks B.conjTranspose B A).IsHermitian ↔ (A - B * D⁻¹ * B.conjTranspose).IsHermitian
no goals
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.PosSemidef.fromBlocks₁₁
[72, 1]
[88, 20]
rw [PosSemidef, IsHermitian.fromBlocks₁₁ _ _ hA.1]
n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A ⊢ (A.fromBlocks B B.conjTranspose D).PosSemidef ↔ (D - B.conjTranspose * A⁻¹ * B).PosSemidef
n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A ⊢ ((D - B.conjTranspose * A⁻¹ * B).IsHermitian ∧ ∀ (x : m ⊕ n → 𝕜), 0 ≤ star x ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec x) ↔ (D - B.conjTranspose * A⁻¹ * B).PosSemidef
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.PosSemidef.fromBlocks₁₁
[72, 1]
[88, 20]
constructor
n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A ⊢ ((D - B.conjTranspose * A⁻¹ * B).IsHermitian ∧ ∀ (x : m ⊕ n → 𝕜), 0 ≤ star x ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec x) ↔ (D - B.conjTranspose * A⁻¹ * B).PosSemidef
case mp n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A ⊢ ((D - B.conjTranspose * A⁻¹ * B).IsHermitian ∧ ∀ (x : m ⊕ n → 𝕜), 0 ≤ star x ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec x) → (D - B.conjTranspose * A⁻¹ * B).PosSemidef case mpr n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A ⊢ (D - B.conjTranspose * A⁻¹ * B).PosSemidef → (D - B.conjTranspose * A⁻¹ * B).IsHermitian ∧ ∀ (x : m ⊕ n → 𝕜), 0 ≤ star x ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec x
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.PosSemidef.fromBlocks₁₁
[72, 1]
[88, 20]
{ intro h; refine' ⟨h.1, _⟩; intro x have := h.2 (- ((A⁻¹ * B).mulVec x) ⊕ᵥ x) rw [dotProduct_mulVec, schur_complement_eq₁₁ B D _ _ hA.1, neg_add_self, dotProduct_zero, zero_add] at this rw [dotProduct_mulVec]; exact this }
case mp n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A ⊢ ((D - B.conjTranspose * A⁻¹ * B).IsHermitian ∧ ∀ (x : m ⊕ n → 𝕜), 0 ≤ star x ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec x) → (D - B.conjTranspose * A⁻¹ * B).PosSemidef case mpr n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A ⊢ (D - B.conjTranspose * A⁻¹ * B).PosSemidef → (D - B.conjTranspose * A⁻¹ * B).IsHermitian ∧ ∀ (x : m ⊕ n → 𝕜), 0 ≤ star x ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec x
case mpr n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A ⊢ (D - B.conjTranspose * A⁻¹ * B).PosSemidef → (D - B.conjTranspose * A⁻¹ * B).IsHermitian ∧ ∀ (x : m ⊕ n → 𝕜), 0 ≤ star x ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec x
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.PosSemidef.fromBlocks₁₁
[72, 1]
[88, 20]
{ intro h; refine' ⟨h.1, _⟩; intro x rw [dotProduct_mulVec, ← Sum.elim_comp_inl_inr x, schur_complement_eq₁₁ B D _ _ hA.1] apply le_add_of_nonneg_of_le { rw [← dotProduct_mulVec] apply hA.posSemidef.2 } { rw [← dotProduct_mulVec _ _ (x ∘ Sum.inr)] apply h.2 } }
case mpr n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A ⊢ (D - B.conjTranspose * A⁻¹ * B).PosSemidef → (D - B.conjTranspose * A⁻¹ * B).IsHermitian ∧ ∀ (x : m ⊕ n → 𝕜), 0 ≤ star x ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec x
no goals
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.PosSemidef.fromBlocks₁₁
[72, 1]
[88, 20]
intro h
case mp n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A ⊢ ((D - B.conjTranspose * A⁻¹ * B).IsHermitian ∧ ∀ (x : m ⊕ n → 𝕜), 0 ≤ star x ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec x) → (D - B.conjTranspose * A⁻¹ * B).PosSemidef
case mp n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).IsHermitian ∧ ∀ (x : m ⊕ n → 𝕜), 0 ≤ star x ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec x ⊢ (D - B.conjTranspose * A⁻¹ * B).PosSemidef
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.PosSemidef.fromBlocks₁₁
[72, 1]
[88, 20]
refine' ⟨h.1, _⟩
case mp n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).IsHermitian ∧ ∀ (x : m ⊕ n → 𝕜), 0 ≤ star x ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec x ⊢ (D - B.conjTranspose * A⁻¹ * B).PosSemidef
case mp n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).IsHermitian ∧ ∀ (x : m ⊕ n → 𝕜), 0 ≤ star x ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec x ⊢ ∀ (x : n → 𝕜), 0 ≤ star x ⬝ᵥ (D - B.conjTranspose * A⁻¹ * B).mulVec x
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.PosSemidef.fromBlocks₁₁
[72, 1]
[88, 20]
intro x
case mp n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).IsHermitian ∧ ∀ (x : m ⊕ n → 𝕜), 0 ≤ star x ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec x ⊢ ∀ (x : n → 𝕜), 0 ≤ star x ⬝ᵥ (D - B.conjTranspose * A⁻¹ * B).mulVec x
case mp n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).IsHermitian ∧ ∀ (x : m ⊕ n → 𝕜), 0 ≤ star x ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec x x : n → 𝕜 ⊢ 0 ≤ star x ⬝ᵥ (D - B.conjTranspose * A⁻¹ * B).mulVec x
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.PosSemidef.fromBlocks₁₁
[72, 1]
[88, 20]
have := h.2 (- ((A⁻¹ * B).mulVec x) ⊕ᵥ x)
case mp n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).IsHermitian ∧ ∀ (x : m ⊕ n → 𝕜), 0 ≤ star x ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec x x : n → 𝕜 ⊢ 0 ≤ star x ⬝ᵥ (D - B.conjTranspose * A⁻¹ * B).mulVec x
case mp n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).IsHermitian ∧ ∀ (x : m ⊕ n → 𝕜), 0 ≤ star x ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec x x : n → 𝕜 this : 0 ≤ star (-(A⁻¹ * B).mulVec x ⊕ᵥ x) ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec (-(A⁻¹ * B).mulVec x ⊕ᵥ x) ⊢ 0 ≤ star x ⬝ᵥ (D - B.conjTranspose * A⁻¹ * B).mulVec x
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.PosSemidef.fromBlocks₁₁
[72, 1]
[88, 20]
rw [dotProduct_mulVec, schur_complement_eq₁₁ B D _ _ hA.1, neg_add_self, dotProduct_zero, zero_add] at this
case mp n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).IsHermitian ∧ ∀ (x : m ⊕ n → 𝕜), 0 ≤ star x ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec x x : n → 𝕜 this : 0 ≤ star (-(A⁻¹ * B).mulVec x ⊕ᵥ x) ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec (-(A⁻¹ * B).mulVec x ⊕ᵥ x) ⊢ 0 ≤ star x ⬝ᵥ (D - B.conjTranspose * A⁻¹ * B).mulVec x
case mp n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).IsHermitian ∧ ∀ (x : m ⊕ n → 𝕜), 0 ≤ star x ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec x x : n → 𝕜 this : 0 ≤ star x ᵥ* (D - B.conjTranspose * A⁻¹ * B) ⬝ᵥ x ⊢ 0 ≤ star x ⬝ᵥ (D - B.conjTranspose * A⁻¹ * B).mulVec x
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.PosSemidef.fromBlocks₁₁
[72, 1]
[88, 20]
rw [dotProduct_mulVec]
case mp n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).IsHermitian ∧ ∀ (x : m ⊕ n → 𝕜), 0 ≤ star x ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec x x : n → 𝕜 this : 0 ≤ star x ᵥ* (D - B.conjTranspose * A⁻¹ * B) ⬝ᵥ x ⊢ 0 ≤ star x ⬝ᵥ (D - B.conjTranspose * A⁻¹ * B).mulVec x
case mp n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).IsHermitian ∧ ∀ (x : m ⊕ n → 𝕜), 0 ≤ star x ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec x x : n → 𝕜 this : 0 ≤ star x ᵥ* (D - B.conjTranspose * A⁻¹ * B) ⬝ᵥ x ⊢ 0 ≤ star x ᵥ* (D - B.conjTranspose * A⁻¹ * B) ⬝ᵥ x
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.PosSemidef.fromBlocks₁₁
[72, 1]
[88, 20]
exact this
case mp n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).IsHermitian ∧ ∀ (x : m ⊕ n → 𝕜), 0 ≤ star x ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec x x : n → 𝕜 this : 0 ≤ star x ᵥ* (D - B.conjTranspose * A⁻¹ * B) ⬝ᵥ x ⊢ 0 ≤ star x ᵥ* (D - B.conjTranspose * A⁻¹ * B) ⬝ᵥ x
no goals
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.PosSemidef.fromBlocks₁₁
[72, 1]
[88, 20]
intro h
case mpr n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A ⊢ (D - B.conjTranspose * A⁻¹ * B).PosSemidef → (D - B.conjTranspose * A⁻¹ * B).IsHermitian ∧ ∀ (x : m ⊕ n → 𝕜), 0 ≤ star x ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec x
case mpr n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).PosSemidef ⊢ (D - B.conjTranspose * A⁻¹ * B).IsHermitian ∧ ∀ (x : m ⊕ n → 𝕜), 0 ≤ star x ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec x
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.PosSemidef.fromBlocks₁₁
[72, 1]
[88, 20]
refine' ⟨h.1, _⟩
case mpr n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).PosSemidef ⊢ (D - B.conjTranspose * A⁻¹ * B).IsHermitian ∧ ∀ (x : m ⊕ n → 𝕜), 0 ≤ star x ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec x
case mpr n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).PosSemidef ⊢ ∀ (x : m ⊕ n → 𝕜), 0 ≤ star x ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec x
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.PosSemidef.fromBlocks₁₁
[72, 1]
[88, 20]
intro x
case mpr n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).PosSemidef ⊢ ∀ (x : m ⊕ n → 𝕜), 0 ≤ star x ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec x
case mpr n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).PosSemidef x : m ⊕ n → 𝕜 ⊢ 0 ≤ star x ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec x
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.PosSemidef.fromBlocks₁₁
[72, 1]
[88, 20]
rw [dotProduct_mulVec, ← Sum.elim_comp_inl_inr x, schur_complement_eq₁₁ B D _ _ hA.1]
case mpr n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).PosSemidef x : m ⊕ n → 𝕜 ⊢ 0 ≤ star x ⬝ᵥ (A.fromBlocks B B.conjTranspose D).mulVec x
case mpr n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).PosSemidef x : m ⊕ n → 𝕜 ⊢ 0 ≤ star (x ∘ Sum.inl + (A⁻¹ * B).mulVec (x ∘ Sum.inr)) ᵥ* A ⬝ᵥ (x ∘ Sum.inl + (A⁻¹ * B).mulVec (x ∘ Sum.inr)) + star (x ∘ Sum.inr) ᵥ* (D - B.conjTranspose * A⁻¹ * B) ⬝ᵥ x ∘ Sum.inr
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.PosSemidef.fromBlocks₁₁
[72, 1]
[88, 20]
apply le_add_of_nonneg_of_le
case mpr n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).PosSemidef x : m ⊕ n → 𝕜 ⊢ 0 ≤ star (x ∘ Sum.inl + (A⁻¹ * B).mulVec (x ∘ Sum.inr)) ᵥ* A ⬝ᵥ (x ∘ Sum.inl + (A⁻¹ * B).mulVec (x ∘ Sum.inr)) + star (x ∘ Sum.inr) ᵥ* (D - B.conjTranspose * A⁻¹ * B) ⬝ᵥ x ∘ Sum.inr
case mpr.ha n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).PosSemidef x : m ⊕ n → 𝕜 ⊢ 0 ≤ star (x ∘ Sum.inl + (A⁻¹ * B).mulVec (x ∘ Sum.inr)) ᵥ* A ⬝ᵥ (x ∘ Sum.inl + (A⁻¹ * B).mulVec (x ∘ Sum.inr)) case mpr.hbc n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).PosSemidef x : m ⊕ n → 𝕜 ⊢ 0 ≤ star (x ∘ Sum.inr) ᵥ* (D - B.conjTranspose * A⁻¹ * B) ⬝ᵥ x ∘ Sum.inr
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.PosSemidef.fromBlocks₁₁
[72, 1]
[88, 20]
{ rw [← dotProduct_mulVec] apply hA.posSemidef.2 }
case mpr.ha n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).PosSemidef x : m ⊕ n → 𝕜 ⊢ 0 ≤ star (x ∘ Sum.inl + (A⁻¹ * B).mulVec (x ∘ Sum.inr)) ᵥ* A ⬝ᵥ (x ∘ Sum.inl + (A⁻¹ * B).mulVec (x ∘ Sum.inr)) case mpr.hbc n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).PosSemidef x : m ⊕ n → 𝕜 ⊢ 0 ≤ star (x ∘ Sum.inr) ᵥ* (D - B.conjTranspose * A⁻¹ * B) ⬝ᵥ x ∘ Sum.inr
case mpr.hbc n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).PosSemidef x : m ⊕ n → 𝕜 ⊢ 0 ≤ star (x ∘ Sum.inr) ᵥ* (D - B.conjTranspose * A⁻¹ * B) ⬝ᵥ x ∘ Sum.inr
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.PosSemidef.fromBlocks₁₁
[72, 1]
[88, 20]
{ rw [← dotProduct_mulVec _ _ (x ∘ Sum.inr)] apply h.2 }
case mpr.hbc n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).PosSemidef x : m ⊕ n → 𝕜 ⊢ 0 ≤ star (x ∘ Sum.inr) ᵥ* (D - B.conjTranspose * A⁻¹ * B) ⬝ᵥ x ∘ Sum.inr
no goals
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.PosSemidef.fromBlocks₁₁
[72, 1]
[88, 20]
rw [← dotProduct_mulVec]
case mpr.ha n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).PosSemidef x : m ⊕ n → 𝕜 ⊢ 0 ≤ star (x ∘ Sum.inl + (A⁻¹ * B).mulVec (x ∘ Sum.inr)) ᵥ* A ⬝ᵥ (x ∘ Sum.inl + (A⁻¹ * B).mulVec (x ∘ Sum.inr))
case mpr.ha n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).PosSemidef x : m ⊕ n → 𝕜 ⊢ 0 ≤ star (x ∘ Sum.inl + (A⁻¹ * B).mulVec (x ∘ Sum.inr)) ⬝ᵥ A.mulVec (x ∘ Sum.inl + (A⁻¹ * B).mulVec (x ∘ Sum.inr))
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.PosSemidef.fromBlocks₁₁
[72, 1]
[88, 20]
apply hA.posSemidef.2
case mpr.ha n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).PosSemidef x : m ⊕ n → 𝕜 ⊢ 0 ≤ star (x ∘ Sum.inl + (A⁻¹ * B).mulVec (x ∘ Sum.inr)) ⬝ᵥ A.mulVec (x ∘ Sum.inl + (A⁻¹ * B).mulVec (x ∘ Sum.inr))
no goals
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.PosSemidef.fromBlocks₁₁
[72, 1]
[88, 20]
rw [← dotProduct_mulVec _ _ (x ∘ Sum.inr)]
case mpr.hbc n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).PosSemidef x : m ⊕ n → 𝕜 ⊢ 0 ≤ star (x ∘ Sum.inr) ᵥ* (D - B.conjTranspose * A⁻¹ * B) ⬝ᵥ x ∘ Sum.inr
case mpr.hbc n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).PosSemidef x : m ⊕ n → 𝕜 ⊢ 0 ≤ star (x ∘ Sum.inr) ⬝ᵥ (D - B.conjTranspose * A⁻¹ * B).mulVec (x ∘ Sum.inr)
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.PosSemidef.fromBlocks₁₁
[72, 1]
[88, 20]
apply h.2
case mpr.hbc n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : DecidableEq m inst✝¹ : Fintype n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hA : A.PosDef inst✝ : Invertible A h : (D - B.conjTranspose * A⁻¹ * B).PosSemidef x : m ⊕ n → 𝕜 ⊢ 0 ≤ star (x ∘ Sum.inr) ⬝ᵥ (D - B.conjTranspose * A⁻¹ * B).mulVec (x ∘ Sum.inr)
no goals
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.PosSemidef.fromBlocks₂₂
[90, 1]
[96, 35]
rw [← posSemidef_submatrix_equiv (Equiv.sumComm n m), Equiv.sumComm_apply, fromBlocks_submatrix_sum_swap_sum_swap]
n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : Fintype n inst✝¹ : DecidableEq n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hD : D.PosDef inst✝ : Invertible D ⊢ (A.fromBlocks B B.conjTranspose D).PosSemidef ↔ (A - B * D⁻¹ * B.conjTranspose).PosSemidef
n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : Fintype n inst✝¹ : DecidableEq n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hD : D.PosDef inst✝ : Invertible D ⊢ (D.fromBlocks B.conjTranspose B A).PosSemidef ↔ (A - B * D⁻¹ * B.conjTranspose).PosSemidef
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/SchurComplement.lean
Matrix.PosSemidef.fromBlocks₂₂
[90, 1]
[96, 35]
convert @PosSemidef.fromBlocks₁₁ m n 𝕜 _ _ _ _ _ _ _ hD _ <;> rw [conjTranspose_conjTranspose]
n : Type u_2 m : Type u_1 𝕜 : Type u_3 inst✝⁴ : RCLike 𝕜 inst✝³ : Fintype m inst✝² : Fintype n inst✝¹ : DecidableEq n A : Matrix m m 𝕜 B : Matrix m n 𝕜 D : Matrix n n 𝕜 hD : D.PosDef inst✝ : Invertible D ⊢ (D.fromBlocks B.conjTranspose B A).PosSemidef ↔ (A - B * D⁻¹ * B.conjTranspose).PosSemidef
no goals
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosSemidef.det_nonneg
[16, 1]
[20, 30]
rw [hM.1.det_eq_prod_eigenvalues]
m : Type ?u.340 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.352 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 M : Matrix n n ℝ hM : M.PosSemidef inst✝ : DecidableEq n ⊢ 0 ≤ M.det
m : Type ?u.340 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.352 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 M : Matrix n n ℝ hM : M.PosSemidef inst✝ : DecidableEq n ⊢ 0 ≤ Finset.univ.prod fun i => ↑(⋯.eigenvalues i)
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosSemidef.det_nonneg
[16, 1]
[20, 30]
apply Finset.prod_nonneg
m : Type ?u.340 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.352 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 M : Matrix n n ℝ hM : M.PosSemidef inst✝ : DecidableEq n ⊢ 0 ≤ Finset.univ.prod fun i => ↑(⋯.eigenvalues i)
case h0 m : Type ?u.340 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.352 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 M : Matrix n n ℝ hM : M.PosSemidef inst✝ : DecidableEq n ⊢ ∀ i ∈ Finset.univ, 0 ≤ ↑(⋯.eigenvalues i)
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosSemidef.det_nonneg
[16, 1]
[20, 30]
intros i _hi
case h0 m : Type ?u.340 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.352 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 M : Matrix n n ℝ hM : M.PosSemidef inst✝ : DecidableEq n ⊢ ∀ i ∈ Finset.univ, 0 ≤ ↑(⋯.eigenvalues i)
case h0 m : Type ?u.340 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.352 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 M : Matrix n n ℝ hM : M.PosSemidef inst✝ : DecidableEq n i : n _hi : i ∈ Finset.univ ⊢ 0 ≤ ↑(⋯.eigenvalues i)
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosSemidef.det_nonneg
[16, 1]
[20, 30]
apply eigenvalues_nonneg hM
case h0 m : Type ?u.340 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.352 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 M : Matrix n n ℝ hM : M.PosSemidef inst✝ : DecidableEq n i : n _hi : i ∈ Finset.univ ⊢ 0 ≤ ↑(⋯.eigenvalues i)
no goals
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosDef.det_ne_zero
[22, 1]
[29, 32]
rw [← Matrix.nondegenerate_iff_det_ne_zero]
m : Type ?u.1418 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type u_2 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n M : Matrix n n 𝕜 hM : M.PosDef ⊢ M.det ≠ 0
m : Type ?u.1418 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type u_2 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n M : Matrix n n 𝕜 hM : M.PosDef ⊢ M.Nondegenerate
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosDef.det_ne_zero
[22, 1]
[29, 32]
intros v hv
m : Type ?u.1418 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type u_2 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n M : Matrix n n 𝕜 hM : M.PosDef ⊢ M.Nondegenerate
m : Type ?u.1418 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type u_2 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n M : Matrix n n 𝕜 hM : M.PosDef v : n → 𝕜 hv : ∀ (w : n → 𝕜), v ⬝ᵥ M.mulVec w = 0 ⊢ v = 0
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosDef.det_ne_zero
[22, 1]
[29, 32]
have hv' := hv (star v)
m : Type ?u.1418 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type u_2 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n M : Matrix n n 𝕜 hM : M.PosDef v : n → 𝕜 hv : ∀ (w : n → 𝕜), v ⬝ᵥ M.mulVec w = 0 ⊢ v = 0
m : Type ?u.1418 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type u_2 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n M : Matrix n n 𝕜 hM : M.PosDef v : n → 𝕜 hv : ∀ (w : n → 𝕜), v ⬝ᵥ M.mulVec w = 0 hv' : v ⬝ᵥ M.mulVec (star v) = 0 ⊢ v = 0
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosDef.det_ne_zero
[22, 1]
[29, 32]
rw [← star_eq_zero]
m : Type ?u.1418 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type u_2 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n M : Matrix n n 𝕜 hM : M.PosDef v : n → 𝕜 hv : ∀ (w : n → 𝕜), v ⬝ᵥ M.mulVec w = 0 hv' : v ⬝ᵥ M.mulVec (star v) = 0 ⊢ v = 0
m : Type ?u.1418 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type u_2 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n M : Matrix n n 𝕜 hM : M.PosDef v : n → 𝕜 hv : ∀ (w : n → 𝕜), v ⬝ᵥ M.mulVec w = 0 hv' : v ⬝ᵥ M.mulVec (star v) = 0 ⊢ star v = 0
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosDef.det_ne_zero
[22, 1]
[29, 32]
by_contra h
m : Type ?u.1418 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type u_2 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n M : Matrix n n 𝕜 hM : M.PosDef v : n → 𝕜 hv : ∀ (w : n → 𝕜), v ⬝ᵥ M.mulVec w = 0 hv' : v ⬝ᵥ M.mulVec (star v) = 0 ⊢ star v = 0
m : Type ?u.1418 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type u_2 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n M : Matrix n n 𝕜 hM : M.PosDef v : n → 𝕜 hv : ∀ (w : n → 𝕜), v ⬝ᵥ M.mulVec w = 0 hv' : v ⬝ᵥ M.mulVec (star v) = 0 h : ¬star v = 0 ⊢ False
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosDef.det_ne_zero
[22, 1]
[29, 32]
have := hM.2 (star v) h
m : Type ?u.1418 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type u_2 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n M : Matrix n n 𝕜 hM : M.PosDef v : n → 𝕜 hv : ∀ (w : n → 𝕜), v ⬝ᵥ M.mulVec w = 0 hv' : v ⬝ᵥ M.mulVec (star v) = 0 h : ¬star v = 0 ⊢ False
m : Type ?u.1418 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type u_2 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n M : Matrix n n 𝕜 hM : M.PosDef v : n → 𝕜 hv : ∀ (w : n → 𝕜), v ⬝ᵥ M.mulVec w = 0 hv' : v ⬝ᵥ M.mulVec (star v) = 0 h : ¬star v = 0 this : 0 < star (star v) ⬝ᵥ M.mulVec (star v) ⊢ False
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosDef.det_ne_zero
[22, 1]
[29, 32]
simp [star_star, hv'] at this
m : Type ?u.1418 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type u_2 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n M : Matrix n n 𝕜 hM : M.PosDef v : n → 𝕜 hv : ∀ (w : n → 𝕜), v ⬝ᵥ M.mulVec w = 0 hv' : v ⬝ᵥ M.mulVec (star v) = 0 h : ¬star v = 0 this : 0 < star (star v) ⬝ᵥ M.mulVec (star v) ⊢ False
no goals
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosSemidef_diagonal
[38, 1]
[46, 50]
refine' ⟨isHermitian_diagonal _, _⟩
m : Type ?u.6640 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.6652 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 ≤ f i ⊢ (diagonal f).PosSemidef
m : Type ?u.6640 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.6652 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 ≤ f i ⊢ ∀ (x : n → ℝ), 0 ≤ star x ⬝ᵥ (diagonal f).mulVec x
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosSemidef_diagonal
[38, 1]
[46, 50]
intro x
m : Type ?u.6640 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.6652 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 ≤ f i ⊢ ∀ (x : n → ℝ), 0 ≤ star x ⬝ᵥ (diagonal f).mulVec x
m : Type ?u.6640 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.6652 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 ≤ f i x : n → ℝ ⊢ 0 ≤ star x ⬝ᵥ (diagonal f).mulVec x
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosSemidef_diagonal
[38, 1]
[46, 50]
simp only [star, id_def, RCLike.re_to_real]
m : Type ?u.6640 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.6652 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 ≤ f i x : n → ℝ ⊢ 0 ≤ star x ⬝ᵥ (diagonal f).mulVec x
m : Type ?u.6640 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.6652 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 ≤ f i x : n → ℝ ⊢ 0 ≤ (fun i => x i) ⬝ᵥ (diagonal f).mulVec x
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosSemidef_diagonal
[38, 1]
[46, 50]
apply Finset.sum_nonneg'
m : Type ?u.6640 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.6652 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 ≤ f i x : n → ℝ ⊢ 0 ≤ (fun i => x i) ⬝ᵥ (diagonal f).mulVec x
case h m : Type ?u.6640 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.6652 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 ≤ f i x : n → ℝ ⊢ ∀ (i : n), 0 ≤ (fun i => x i) i * (diagonal f).mulVec x i
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosSemidef_diagonal
[38, 1]
[46, 50]
intro i
case h m : Type ?u.6640 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.6652 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 ≤ f i x : n → ℝ ⊢ ∀ (i : n), 0 ≤ (fun i => x i) i * (diagonal f).mulVec x i
case h m : Type ?u.6640 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.6652 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 ≤ f i x : n → ℝ i : n ⊢ 0 ≤ (fun i => x i) i * (diagonal f).mulVec x i
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosSemidef_diagonal
[38, 1]
[46, 50]
rw [mulVec_diagonal f x i, mul_comm, mul_assoc]
case h m : Type ?u.6640 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.6652 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 ≤ f i x : n → ℝ i : n ⊢ 0 ≤ (fun i => x i) i * (diagonal f).mulVec x i
case h m : Type ?u.6640 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.6652 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 ≤ f i x : n → ℝ i : n ⊢ 0 ≤ f i * (x i * (fun i => x i) i)
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosSemidef_diagonal
[38, 1]
[46, 50]
exact mul_nonneg (hf i) (mul_self_nonneg (x i))
case h m : Type ?u.6640 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.6652 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 ≤ f i x : n → ℝ i : n ⊢ 0 ≤ f i * (x i * (fun i => x i) i)
no goals
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosDef_diagonal
[48, 1]
[62, 10]
refine' ⟨isHermitian_diagonal _, _⟩
m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i ⊢ (diagonal f).PosDef
m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i ⊢ ∀ (x : n → ℝ), x ≠ 0 → 0 < star x ⬝ᵥ (diagonal f).mulVec x
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosDef_diagonal
[48, 1]
[62, 10]
intros x hx
m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i ⊢ ∀ (x : n → ℝ), x ≠ 0 → 0 < star x ⬝ᵥ (diagonal f).mulVec x
m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i x : n → ℝ hx : x ≠ 0 ⊢ 0 < star x ⬝ᵥ (diagonal f).mulVec x
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosDef_diagonal
[48, 1]
[62, 10]
simp only [star, id_def, RCLike.re_to_real]
m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i x : n → ℝ hx : x ≠ 0 ⊢ 0 < star x ⬝ᵥ (diagonal f).mulVec x
m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i x : n → ℝ hx : x ≠ 0 ⊢ 0 < (fun i => x i) ⬝ᵥ (diagonal f).mulVec x
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosDef_diagonal
[48, 1]
[62, 10]
apply Finset.sum_pos'
m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i x : n → ℝ hx : x ≠ 0 ⊢ 0 < (fun i => x i) ⬝ᵥ (diagonal f).mulVec x
case h m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i x : n → ℝ hx : x ≠ 0 ⊢ ∀ i ∈ Finset.univ, 0 ≤ (fun i => x i) i * (diagonal f).mulVec x i case hs m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i x : n → ℝ hx : x ≠ 0 ⊢ ∃ i ∈ Finset.univ, 0 < (fun i => x i) i * (diagonal f).mulVec x i
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosDef_diagonal
[48, 1]
[62, 10]
{ intros i _ rw [mulVec_diagonal f x i, mul_comm, mul_assoc] exact mul_nonneg (le_of_lt (hf i)) (mul_self_nonneg (x i)) }
case h m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i x : n → ℝ hx : x ≠ 0 ⊢ ∀ i ∈ Finset.univ, 0 ≤ (fun i => x i) i * (diagonal f).mulVec x i case hs m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i x : n → ℝ hx : x ≠ 0 ⊢ ∃ i ∈ Finset.univ, 0 < (fun i => x i) i * (diagonal f).mulVec x i
case hs m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i x : n → ℝ hx : x ≠ 0 ⊢ ∃ i ∈ Finset.univ, 0 < (fun i => x i) i * (diagonal f).mulVec x i
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosDef_diagonal
[48, 1]
[62, 10]
{ contrapose hx; simp at hx ⊢ ext i have := hx i rw [mulVec_diagonal f x i, mul_comm, mul_assoc] at this have := nonpos_of_mul_nonpos_right this (hf i) rw [mul_self_eq_zero.1 (le_antisymm this (mul_self_nonneg (x i)))] rfl }
case hs m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i x : n → ℝ hx : x ≠ 0 ⊢ ∃ i ∈ Finset.univ, 0 < (fun i => x i) i * (diagonal f).mulVec x i
no goals
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosDef_diagonal
[48, 1]
[62, 10]
intros i _
case h m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i x : n → ℝ hx : x ≠ 0 ⊢ ∀ i ∈ Finset.univ, 0 ≤ (fun i => x i) i * (diagonal f).mulVec x i
case h m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i x : n → ℝ hx : x ≠ 0 i : n a✝ : i ∈ Finset.univ ⊢ 0 ≤ (fun i => x i) i * (diagonal f).mulVec x i
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosDef_diagonal
[48, 1]
[62, 10]
rw [mulVec_diagonal f x i, mul_comm, mul_assoc]
case h m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i x : n → ℝ hx : x ≠ 0 i : n a✝ : i ∈ Finset.univ ⊢ 0 ≤ (fun i => x i) i * (diagonal f).mulVec x i
case h m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i x : n → ℝ hx : x ≠ 0 i : n a✝ : i ∈ Finset.univ ⊢ 0 ≤ f i * (x i * (fun i => x i) i)
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosDef_diagonal
[48, 1]
[62, 10]
exact mul_nonneg (le_of_lt (hf i)) (mul_self_nonneg (x i))
case h m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i x : n → ℝ hx : x ≠ 0 i : n a✝ : i ∈ Finset.univ ⊢ 0 ≤ f i * (x i * (fun i => x i) i)
no goals
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosDef_diagonal
[48, 1]
[62, 10]
contrapose hx
case hs m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i x : n → ℝ hx : x ≠ 0 ⊢ ∃ i ∈ Finset.univ, 0 < (fun i => x i) i * (diagonal f).mulVec x i
case hs m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i x : n → ℝ hx : ¬∃ i ∈ Finset.univ, 0 < (fun i => x i) i * (diagonal f).mulVec x i ⊢ ¬x ≠ 0
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosDef_diagonal
[48, 1]
[62, 10]
simp at hx ⊢
case hs m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i x : n → ℝ hx : ¬∃ i ∈ Finset.univ, 0 < (fun i => x i) i * (diagonal f).mulVec x i ⊢ ¬x ≠ 0
case hs m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i x : n → ℝ hx : ∀ (x_1 : n), x x_1 * (diagonal f).mulVec x x_1 ≤ 0 ⊢ x = 0
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosDef_diagonal
[48, 1]
[62, 10]
ext i
case hs m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i x : n → ℝ hx : ∀ (x_1 : n), x x_1 * (diagonal f).mulVec x x_1 ≤ 0 ⊢ x = 0
case hs.h m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i x : n → ℝ hx : ∀ (x_1 : n), x x_1 * (diagonal f).mulVec x x_1 ≤ 0 i : n ⊢ x i = 0 i
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosDef_diagonal
[48, 1]
[62, 10]
have := hx i
case hs.h m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i x : n → ℝ hx : ∀ (x_1 : n), x x_1 * (diagonal f).mulVec x x_1 ≤ 0 i : n ⊢ x i = 0 i
case hs.h m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i x : n → ℝ hx : ∀ (x_1 : n), x x_1 * (diagonal f).mulVec x x_1 ≤ 0 i : n this : x i * (diagonal f).mulVec x i ≤ 0 ⊢ x i = 0 i
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosDef_diagonal
[48, 1]
[62, 10]
rw [mulVec_diagonal f x i, mul_comm, mul_assoc] at this
case hs.h m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i x : n → ℝ hx : ∀ (x_1 : n), x x_1 * (diagonal f).mulVec x x_1 ≤ 0 i : n this : x i * (diagonal f).mulVec x i ≤ 0 ⊢ x i = 0 i
case hs.h m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i x : n → ℝ hx : ∀ (x_1 : n), x x_1 * (diagonal f).mulVec x x_1 ≤ 0 i : n this : f i * (x i * x i) ≤ 0 ⊢ x i = 0 i
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosDef_diagonal
[48, 1]
[62, 10]
have := nonpos_of_mul_nonpos_right this (hf i)
case hs.h m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i x : n → ℝ hx : ∀ (x_1 : n), x x_1 * (diagonal f).mulVec x x_1 ≤ 0 i : n this : f i * (x i * x i) ≤ 0 ⊢ x i = 0 i
case hs.h m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i x : n → ℝ hx : ∀ (x_1 : n), x x_1 * (diagonal f).mulVec x x_1 ≤ 0 i : n this✝ : f i * (x i * x i) ≤ 0 this : x i * x i ≤ 0 ⊢ x i = 0 i
https://github.com/verified-optimization/CvxLean.git
c62c2f292c6420f31a12e738ebebdfed50f6f840
CvxLean/Lib/Math/LinearAlgebra/Matrix/PosDef.lean
Matrix.PosDef_diagonal
[48, 1]
[62, 10]
rw [mul_self_eq_zero.1 (le_antisymm this (mul_self_nonneg (x i)))]
case hs.h m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i x : n → ℝ hx : ∀ (x_1 : n), x x_1 * (diagonal f).mulVec x x_1 ≤ 0 i : n this✝ : f i * (x i * x i) ≤ 0 this : x i * x i ≤ 0 ⊢ x i = 0 i
case hs.h m : Type ?u.8318 n : Type u_1 inst✝⁷ : Fintype m inst✝⁶ : Fintype n 𝕜 : Type ?u.8330 inst✝⁵ : NormedField 𝕜 inst✝⁴ : PartialOrder 𝕜 inst✝³ : StarRing 𝕜 inst✝² : StarOrderedRing 𝕜 inst✝¹ : RCLike 𝕜 inst✝ : DecidableEq n f : n → ℝ hf : ∀ (i : n), 0 < f i x : n → ℝ hx : ∀ (x_1 : n), x x_1 * (diagonal f).mulVec x x_1 ≤ 0 i : n this✝ : f i * (x i * x i) ≤ 0 this : x i * x i ≤ 0 ⊢ 0 = 0 i