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Add lean source and binary files (part 71)
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import Mathlib
import OAI.Geometry.PrescribedPotential.CalabiTensorAlgebra
namespace OAI
/-! Calabi Norm Algebra. -/
section
noncomputable section
open Set Filter Topology Matrix
open scoped ContDiff ComplexOrder Matrix.Norms.Elementwise
namespace KaehlerCalculus
variable {n : ℕ}
def tensorVector (T : ConnectionTensor n) : EuclideanSpace ℂ (Fin n × Fin n × Fin n) :=
WithLp.toLp 2 (fun p => T p.1 p.2.1 p.2.2)
def tensorSquare (T : ConnectionTensor n) : ℝ := (tensorPairAt 1 1 T T).re
lemma tensorPairAt_one_inner (T U : ConnectionTensor n) :
tensorPairAt 1 1 T U = inner ℂ (tensorVector U) (tensorVector T) := by
rw [tensorPairAt_one]
simp only [tensorVector,PiLp.inner_apply,Fintype.sum_prod_type,
Matrix.trace,Matrix.diag_apply,Matrix.mul_apply,Matrix.conjTranspose_apply,
RCLike.inner_apply]
rfl
lemma tensorSquare_norm (T : ConnectionTensor n) : tensorSquare T = ‖tensorVector T‖^2 := by
rw [tensorSquare,tensorPairAt_one_inner]
exact (norm_sq_eq_re_inner (𝕜 := ℂ) (tensorVector T)).symm
lemma tensorSquare_nonneg (T : ConnectionTensor n) : 0 ≤ tensorSquare T := by
rw [tensorSquare_norm]
positivity
lemma tensorSquare_pos {T : ConnectionTensor n} (hT : T ≠ 0) : 0 < tensorSquare T := by
rw [tensorSquare_norm]
apply sq_pos_of_pos
apply norm_pos_iff.mpr
intro he
apply hT
funext i
ext a b
exact congrArg (fun v : EuclideanSpace ℂ (Fin n × Fin n × Fin n) => v (i,a,b)) he
lemma tensorPairAt_cauchy (T U : ConnectionTensor n) :
‖tensorPairAt 1 1 T U‖^2 ≤ tensorSquare T*tensorSquare U := by
rw [tensorPairAt_one_inner,tensorSquare_norm,tensorSquare_norm]
have hh := norm_inner_le_norm (𝕜 := ℂ) (tensorVector U) (tensorVector T)
have hs := sq_le_sq₀ (norm_nonneg _) (mul_nonneg (norm_nonneg _) (norm_nonneg _)) |>.mpr hh
simpa only [mul_pow,mul_comm] using hs
lemma tensorSquare_smul (r : ℝ) (T : ConnectionTensor n) :
tensorSquare (r • T) = r^2*tensorSquare T := by
have he : tensorVector (r • T) = r • tensorVector T := rfl
rw [tensorSquare_norm,he,norm_smul,mul_pow,Real.norm_eq_abs,sq_abs,tensorSquare_norm]
lemma continuous_tensorSquare : Continuous (tensorSquare (n := n)) := by
rw [show tensorSquare (n := n) = fun T => ‖tensorVector T‖^2 from funext tensorSquare_norm]
apply Continuous.pow
apply Continuous.norm
exact (PiLp.continuous_toLp 2 _).comp (continuous_pi (fun p =>
(continuous_apply p.2.2).comp ((continuous_apply p.2.1).comp (continuous_apply p.1))))
lemma continuous_tensorVector : Continuous (tensorVector (n := n)) := by
exact (PiLp.continuous_toLp 2 _).comp (continuous_pi (fun p =>
(continuous_apply p.2.2).comp ((continuous_apply p.2.1).comp (continuous_apply p.1))))
lemma tensorPairAt_one_continuous : Continuous
(fun q : ConnectionTensor n × ConnectionTensor n => tensorPairAt 1 1 q.1 q.2) := by
simp_rw [tensorPairAt_one_inner]
exact Continuous.inner (𝕜 := ℂ) (continuous_tensorVector.comp continuous_snd)
(continuous_tensorVector.comp continuous_fst)
lemma tensorPairAt_one_smul (r s : ℝ) (T U : ConnectionTensor n) :
tensorPairAt 1 1 (r • T) (s • U) = ((r*s : ℝ) : ℂ)*tensorPairAt 1 1 T U := by
simp only [tensorPairAt_one,Pi.smul_apply]
change (∑ i, (((r:ℂ) • T i)*((s:ℂ) • U i)ᴴ).trace) = _
simp only [Matrix.conjTranspose_smul,Complex.star_def,Complex.conj_ofReal,
smul_mul_assoc,mul_smul_comm,smul_smul,Matrix.trace_smul,smul_eq_mul,
← Complex.ofReal_mul,← Finset.mul_sum]
rw [mul_comm s r]
end KaehlerCalculus
end
end
end OAI