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Add lean source and binary files (part 12)
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import OAI.Analysis.C0Absorption.Core
import Mathlib
namespace OAI
namespace C0Absorption
open scoped BigOperators NNReal ENNReal
noncomputable section
open Finset
section Molecules
variable (S : Type*)
def MoleculeSpace : Submodule ℝ (S →₀ ℝ) :=
(Finsupp.linearCombination ℝ (fun _ : S => (1 : ℝ))).ker
abbrev Molecule := MoleculeSpace S
noncomputable def pairing (f : S → ℝ) : Molecule S →ₗ[ℝ] ℝ :=
(Finsupp.linearCombination ℝ f).comp (MoleculeSpace S).subtype
variable {S}
noncomputable def molecule (s t : S) : Molecule S :=
⟨Finsupp.single s 1 - Finsupp.single t 1, by
simp [MoleculeSpace, LinearMap.mem_ker]⟩
@[simp] theorem pairing_molecule (f : S → ℝ) (s t : S) :
pairing S f (molecule s t) = f s - f t := by
simp [pairing, molecule]
@[simp] theorem pairing_const (c : ℝ) (m : Molecule S) :
pairing S (fun _ => c) m = 0 := by
have hm := m.property
change (Finsupp.linearCombination ℝ (fun _ : S => (1 : ℝ))) m.val = 0 at hm
simp only [Finsupp.linearCombination_apply, smul_eq_mul, mul_one] at hm
simp only [pairing, LinearMap.comp_apply, Submodule.subtype_apply,
Finsupp.linearCombination_apply, smul_eq_mul]
rw [← Finsupp.sum_mul, hm, zero_mul]
theorem molecule_decomposition (m : Molecule S) (o : S) :
m = ∑ s ∈ m.val.support, m.val s • molecule s o := by
classical
have hm := m.property
change (Finsupp.linearCombination ℝ (fun _ : S => (1 : ℝ))) m.val = 0 at hm
simp only [Finsupp.linearCombination_apply, smul_eq_mul, mul_one,
Finsupp.sum] at hm
apply Subtype.ext
simp only [Submodule.coe_sum, Submodule.coe_smul, molecule, smul_sub]
rw [Finset.sum_sub_distrib, ← Finset.sum_smul, hm, zero_smul, sub_zero]
simpa only [Finsupp.smul_single, smul_eq_mul, mul_one, Finsupp.sum] using (Finsupp.sum_single m.val).symm
@[simp] theorem molecule_self (s : S) : molecule s s = 0 := by
apply Subtype.ext
simp [molecule]
theorem molecule_sub_molecule (s t o : S) : molecule s o - molecule t o = molecule s t := by
apply Subtype.ext
change (Finsupp.single s 1 - Finsupp.single o 1) -
(Finsupp.single t 1 - Finsupp.single o 1) = Finsupp.single s 1 - Finsupp.single t 1
abel
end Molecules
section TestLists
variable {S : Type*} [MetricSpace S]
structure AdmissibleList (L : Set (S → ℝ)) (C : ℝ≥0) where
length : ℕ
test : Fin length → S → ℝ
mem : ∀ i, test i ∈ L
signed_lipschitz : ∀ ε : Fin length → ℝ, (∀ i, |ε i| = 1) →
LipschitzWith C (fun s => ∑ i, ε i * test i s)
def AdmissibleList.empty (L : Set (S → ℝ)) (C : ℝ≥0) : AdmissibleList L C where
length := 0
test := Fin.elim0
mem i := Fin.elim0 i
signed_lipschitz ε hε := by
apply LipschitzWith.of_dist_le_mul
intro s t
simp only [Fin.sum_univ_zero, dist_self]
positivity
instance (L : Set (S → ℝ)) (C : ℝ≥0) : Nonempty (AdmissibleList L C) :=
⟨AdmissibleList.empty L C⟩
theorem AdmissibleList.sum_abs_sub_le {L : Set (S → ℝ)} {C : ℝ≥0}
(l : AdmissibleList L C) (s t : S) :
∑ i, |l.test i s - l.test i t| ≤ C * dist s t := by
classical
let ε : Fin l.length → ℝ := fun i => if 0 ≤ l.test i s - l.test i t then 1 else -1
have hε : ∀ i, |ε i| = 1 := by
intro i
dsimp [ε]
split <;> norm_num
have heq : ∀ i, ε i * (l.test i s - l.test i t) =
|l.test i s - l.test i t| := by
intro i
dsimp [ε]
split
· simp [abs_of_nonneg, *]
· simp [abs_of_neg (lt_of_not_ge ‹¬ 0 ≤ l.test i s - l.test i t›)]
have h := (l.signed_lipschitz ε hε).dist_le_mul s t
rw [Real.dist_eq, ← Finset.sum_sub_distrib] at h
simp_rw [← mul_sub, heq] at h
rwa [abs_of_nonneg (Finset.sum_nonneg fun _ _ => abs_nonneg _)] at h
theorem finite_lp_norm_le_sum {ι : Type*} [Fintype ι] (p : ℝ≥0∞) [Fact (1 ≤ p)]
(f : PiLp p (fun _ : ι => ℝ)) : ‖f‖ ≤ ∑ i, |f i| := by
classical
have heq : f = ∑ i, PiLp.single p (β := fun _ : ι => ℝ) i (f i) := by
apply PiLp.ext
intro j
simp [← WithLp.toLp_sum, PiLp.single, Function.update, Pi.single]
calc
‖f‖ = ‖∑ i, PiLp.single p (β := fun _ : ι => ℝ) i (f i)‖ := congrArg norm heq
_ ≤ ∑ i, ‖PiLp.single p (β := fun _ : ι => ℝ) i (f i)‖ := norm_sum_le _ _
_ = ∑ i, |f i| := by simp [PiLp.norm_single, Real.norm_eq_abs]
def AdmissibleList.eval {L : Set (S → ℝ)} {C : ℝ≥0}
(l : AdmissibleList L C) (p : ℝ≥0∞) :
Molecule S →ₗ[ℝ] PiLp p (fun _ : Fin l.length => ℝ) :=
(WithLp.linearEquiv p ℝ _).symm.toLinearMap.comp
(LinearMap.pi fun i => pairing S (l.test i))
@[simp] theorem AdmissibleList.eval_apply {L : Set (S → ℝ)} {C : ℝ≥0}
(l : AdmissibleList L C) (p : ℝ≥0∞) (m : Molecule S) (i : Fin l.length) :
(l.eval p m) i = pairing S (l.test i) m := rfl
def AdmissibleList.seminorm {L : Set (S → ℝ)} {C : ℝ≥0}
(l : AdmissibleList L C) (p : ℝ≥0∞) [Fact (1 ≤ p)] : Seminorm ℝ (Molecule S) :=
(normSeminorm ℝ (PiLp p (fun _ : Fin l.length => ℝ))).comp (l.eval p)
@[simp] theorem AdmissibleList.seminorm_apply {L : Set (S → ℝ)} {C : ℝ≥0}
(l : AdmissibleList L C) (p : ℝ≥0∞) [Fact (1 ≤ p)] (m : Molecule S) :
l.seminorm p m = ‖l.eval p m‖ := rfl
theorem AdmissibleList.seminorm_molecule_le {L : Set (S → ℝ)} {C : ℝ≥0}
(l : AdmissibleList L C) (p : ℝ≥0∞) [Fact (1 ≤ p)] (s t : S) :
l.seminorm p (molecule s t) ≤ C * dist s t := by
calc
l.seminorm p (molecule s t) ≤ ∑ i, |(l.eval p (molecule s t)) i| :=
finite_lp_norm_le_sum p _
_ = ∑ i, |l.test i s - l.test i t| := by simp
_ ≤ C * dist s t := l.sum_abs_sub_le s t
theorem AdmissibleList.seminorm_le {L : Set (S → ℝ)} {C : ℝ≥0}
(l : AdmissibleList L C) (p : ℝ≥0∞) [Fact (1 ≤ p)] (o : S) (m : Molecule S) :
l.seminorm p m ≤ C * ∑ s ∈ m.val.support, |m.val s| * dist s o := by
classical
conv_lhs => rw [molecule_decomposition m o]
simp only [AdmissibleList.seminorm_apply, map_sum, map_smul]
calc
‖∑ s ∈ m.val.support, m.val s • l.eval p (molecule s o)‖
≤ ∑ s ∈ m.val.support, |m.val s| * ‖l.eval p (molecule s o)‖ := by
simpa only [norm_smul, Real.norm_eq_abs] using
norm_sum_le m.val.support (fun s => m.val s • l.eval p (molecule s o))
_ ≤ ∑ s ∈ m.val.support, |m.val s| * (C * dist s o) := by
apply Finset.sum_le_sum
intro s hs
exact mul_le_mul_of_nonneg_left (l.seminorm_molecule_le p s o) (abs_nonneg _)
_ = C * ∑ s ∈ m.val.support, |m.val s| * dist s o := by
rw [Finset.mul_sum]
apply Finset.sum_congr rfl
intro s hs
ring
def sigma (L : Set (S → ℝ)) (C : ℝ≥0) (p : ℝ≥0∞) [Fact (1 ≤ p)] :
Seminorm ℝ (Molecule S) :=
⨆ l : AdmissibleList L C, l.seminorm p
theorem list_seminorms_bddAbove (L : Set (S → ℝ)) (C : ℝ≥0)
(p : ℝ≥0∞) [Fact (1 ≤ p)] (o : S) :
BddAbove (Set.range fun l : AdmissibleList L C => l.seminorm p) := by
rw [Seminorm.bddAbove_range_iff]
intro m
refine ⟨C * ∑ s ∈ m.val.support, |m.val s| * dist s o, ?_⟩
rintro _ ⟨l, rfl⟩
exact l.seminorm_le p o m
theorem sigma_apply (L : Set (S → ℝ)) (C : ℝ≥0)
(p : ℝ≥0∞) [Fact (1 ≤ p)] (o : S) (m : Molecule S) :
sigma L C p m = ⨆ l : AdmissibleList L C, ‖l.eval p m‖ := by
exact Seminorm.iSup_apply (list_seminorms_bddAbove L C p o)
theorem sigma_molecule_le (L : Set (S → ℝ)) (C : ℝ≥0)
(p : ℝ≥0∞) [Fact (1 ≤ p)] (s t : S) :
sigma L C p (molecule s t) ≤ C * dist s t := by
rw [sigma_apply L C p s]
exact ciSup_le fun l => l.seminorm_molecule_le p s t
theorem list_le_sigma (L : Set (S → ℝ)) (C : ℝ≥0)
(p : ℝ≥0∞) [Fact (1 ≤ p)] (o : S) (l : AdmissibleList L C) :
l.seminorm p ≤ sigma L C p :=
le_ciSup (list_seminorms_bddAbove L C p o) l
theorem sigma_le (L : Set (S → ℝ)) (C : ℝ≥0)
(p : ℝ≥0∞) [Fact (1 ≤ p)] (o : S) (m : Molecule S) :
sigma L C p m ≤ C * ∑ s ∈ m.val.support, |m.val s| * dist s o := by
rw [sigma_apply L C p o]
exact ciSup_le fun l => l.seminorm_le p o m
end TestLists
section SquareSum
variable {M : Type*} [AddCommGroup M] [Module ℝ M]
variable (q : ℕ → Seminorm ℝ M)
variable (hq : ∀ x, Summable (fun n => (q n x) ^ 2))
def squareVector (x : M) : lp (fun _ : ℕ => ℝ) 2 :=
⟨fun n => q n x, memℓp_gen (by
simpa only [ENNReal.toReal_ofNat, Real.rpow_two, Real.norm_eq_abs, sq_abs]
using hq x)⟩
@[simp] theorem squareVector_apply (x : M) (n : ℕ) :
squareVector q hq x n = q n x := rfl
def squareSeminorm : Seminorm ℝ M :=
Seminorm.of (fun x => ‖squareVector q hq x‖)
(by
intro x y
calc
‖squareVector q hq (x + y)‖ ≤ ‖squareVector q hq x + squareVector q hq y‖ := by
apply lp.norm_mono (by norm_num : (2 : ℝ≥0∞) ≠ 0)
intro n
change ‖q n (x + y)‖ ≤ ‖q n x + q n y‖
rw [Real.norm_of_nonneg (apply_nonneg _ _),
Real.norm_of_nonneg (add_nonneg (apply_nonneg _ _) (apply_nonneg _ _))]
exact map_add_le_add _ _ _
_ ≤ ‖squareVector q hq x‖ + ‖squareVector q hq y‖ := norm_add_le _ _)
(by
intro a x
have h : squareVector q hq (a • x) = ‖a‖ • squareVector q hq x := by
apply lp.ext
funext n
change q n (a • x) = ‖a‖ * q n x
exact map_smul_eq_mul _ _ _
rw [h, norm_smul, norm_norm])
@[simp] theorem squareSeminorm_apply (x : M) :
squareSeminorm q hq x = ‖squareVector q hq x‖ := rfl
theorem squareSeminorm_sq (x : M) :
(squareSeminorm q hq x) ^ 2 = ∑' n, (q n x) ^ 2 := by
simpa only [squareSeminorm_apply, ENNReal.toReal_ofNat, Real.rpow_two,
Real.norm_eq_abs, sq_abs, squareVector_apply] using
lp.norm_rpow_eq_tsum (by norm_num : 0 < (2 : ℝ≥0∞).toReal) (squareVector q hq x)
theorem coordinate_le_squareSeminorm (n : ℕ) (x : M) :
q n x ≤ squareSeminorm q hq x := by
simpa only [squareSeminorm_apply, squareVector_apply,
Real.norm_of_nonneg (apply_nonneg _ _)] using
lp.norm_apply_le_norm (by norm_num : (2 : ℝ≥0∞) ≠ 0) (squareVector q hq x) n
theorem seminorm_abs_sub_le (r : Seminorm ℝ M) (x y : M) :
|r x - r y| ≤ r (x - y) := by
have hxy := map_add_le_add r (x - y) y
have hyx := map_add_le_add r (y - x) x
rw [sub_add_cancel] at hxy hyx
have hn : r (y - x) = r (x - y) := by rw [← neg_sub x y, map_neg_eq_map]
rw [hn] at hyx
apply abs_le.mpr
constructor <;> linarith
theorem squareVector_sub_norm_le (x y : M) :
‖squareVector q hq x - squareVector q hq y‖ ≤ squareSeminorm q hq (x - y) := by
apply lp.norm_mono (by norm_num : (2 : ℝ≥0∞) ≠ 0)
intro n
change ‖q n x - q n y‖ ≤ ‖q n (x - y)‖
rw [Real.norm_eq_abs, Real.norm_of_nonneg (apply_nonneg _ _)]
exact seminorm_abs_sub_le _ _ _
end SquareSum
end
end C0Absorption
end OAI