roseking's picture
Add lean source and binary files (part 19)
9eeb9c7 verified
Raw History Blame Contribute Delete
4.26 kB
import OAI.Analysis.HilbertCrouzeix.Compression
namespace OAI
noncomputable section
open Complex Set
open scoped TensorProduct Matrix.Norms.L2Operator Classical ComplexConjugate
namespace HilbertCrouzeix
universe u
variable {H : Type u} [NormedAddCommGroup H] [InnerProductSpace ℂ H] [CompleteSpace H]
def sharpOperator : CoeffSpace 2 →L[ℂ] CoeffSpace 2 :=
(EuclideanSpace.proj (1 : Fin 2)).smulRight
((2 : ℂ) • EuclideanSpace.single (0 : Fin 2) 1)
def sharpPolynomial : Fin (1 + 1) → Coeff 1 := ![0, 1]
theorem sharpPolynomial_apply (z : ℂ) : matrixPolynomial sharpPolynomial z = z • (1 : Coeff 1) := by
simp [matrixPolynomial, sharpPolynomial, Fin.sum_univ_two]
theorem sharpPolynomial_norm (z : ℂ) : ‖matrixPolynomial sharpPolynomial z‖ = ‖z‖ := by
rw [sharpPolynomial_apply, norm_smul, norm_one, mul_one]
theorem sharpOperator_apply (x : CoeffSpace 2) :
sharpOperator x = x.ofLp 1 • ((2 : ℂ) • EuclideanSpace.single (0 : Fin 2) 1) := by
simp only [sharpOperator, ContinuousLinearMap.smulRight_apply, EuclideanSpace.proj,
PiLp.proj_apply]
theorem sharpOperator_numerical_le_one {z : ℂ} (hz : z ∈ numericalRange sharpOperator) :
‖z‖ ≤ 1 := by
obtain ⟨x, hx, rfl⟩ := hz
have hsq : ‖x.ofLp 0‖ ^ 2 + ‖x.ofLp 1‖ ^ 2 = 1 := by
have h := EuclideanSpace.norm_sq_eq x
simpa only [hx, one_pow, Fin.sum_univ_two] using h.symm
rw [sharpOperator_apply]
rw [inner_smul_right, inner_smul_right, EuclideanSpace.inner_single_right]
simp only [norm_mul, norm_conj, one_mul]
norm_num
nlinarith [sq_nonneg (‖x.ofLp 0‖ - ‖x.ofLp 1‖)]
theorem sharpPolynomial_sup_le_one :
normSup (numericalRange sharpOperator) (matrixPolynomial sharpPolynomial) ≤ 1 := by
rw [normSup, ite_eq_left (numericalRange_nonempty sharpOperator)]
apply csSup_le ((numericalRange_nonempty sharpOperator).image _)
rintro _ ⟨z, hz, rfl⟩
change ‖matrixPolynomial sharpPolynomial z‖ ≤ 1
rw [sharpPolynomial_norm]
exact sharpOperator_numerical_le_one hz
theorem sharpPolynomial_sup_nonneg :
0 ≤ normSup (numericalRange sharpOperator) (matrixPolynomial sharpPolynomial) := by
obtain ⟨z, hz⟩ := numericalRange_nonempty sharpOperator
have hb : BddAbove ((fun z => ‖matrixPolynomial sharpPolynomial z‖) ''
numericalRange sharpOperator) := by
refine ⟨1, ?_⟩
rintro _ ⟨w, hw, rfl⟩
change ‖matrixPolynomial sharpPolynomial w‖ ≤ 1
rw [sharpPolynomial_norm]
exact sharpOperator_numerical_le_one hw
rw [normSup, ite_eq_left (numericalRange_nonempty sharpOperator)]
exact (norm_nonneg _).trans (le_csSup hb (mem_image_of_mem _ hz))
theorem sharpPolynomialEval_norm_ge_two :
2 ≤ ‖polynomialEval sharpOperator sharpPolynomial‖ := by
let e : CoeffSpace 2 := EuclideanSpace.single (1 : Fin 2) 1
let v : CoeffSpace 1 := EuclideanSpace.single (0 : Fin 1) 1
let ξ : Amplification (CoeffSpace 2) 1 := ↑(e ⊗ₜ[ℂ] v)
have hξ : ‖ξ‖ = 1 := by
simp only [ξ, UniformSpace.Completion.norm_coe, TensorProduct.norm_tmul,
e, v, EuclideanSpace.single, PiLp.norm_single, norm_one, mul_one]
have heval : polynomialEval sharpOperator sharpPolynomial ξ =
(↑(((2 : ℂ) • EuclideanSpace.single (0 : Fin 2) (1 : ℂ)) ⊗ₜ[ℂ] v) :
Amplification (CoeffSpace 2) 1) := by
simp [polynomialEval, Fin.sum_univ_two, sharpPolynomial, ξ, tensorOp_tmul,
sharpOperator_apply, e]
have hvalue : ‖polynomialEval sharpOperator sharpPolynomial ξ‖ = 2 := by
rw [heval]
simp [UniformSpace.Completion.norm_coe, TensorProduct.norm_tmul,
norm_smul, v]
simpa only [hvalue, hξ, mul_one] using
(polynomialEval sharpOperator sharpPolynomial).le_opNorm ξ
theorem uniformlySharp : UniformlySharp := by
intro c hc
refine ⟨2, 1, 1, by norm_num, by norm_num, sharpOperator, sharpPolynomial, ?_⟩
apply lt_of_lt_of_le _ sharpPolynomialEval_norm_ge_two
by_cases h : 0 ≤ c
· exact lt_of_le_of_lt
(by simpa using mul_le_mul_of_nonneg_left sharpPolynomial_sup_le_one h) hc
· exact lt_of_le_of_lt
(mul_nonpos_of_nonpos_of_nonneg (le_of_not_ge h) sharpPolynomial_sup_nonneg)
(by norm_num)
end HilbertCrouzeix
end
end OAI