openAI-math-dataset / lean /OAI /Analysis /CircleDomains /Selection /AtomicLevelFiniteness.lean
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Add lean source and binary files (part 13)
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import OAI.Analysis.CircleDomains.Topology.SimpleArcToll
import OAI.Analysis.CircleDomains.Sobolev.ExtendedWeightedCoarea
namespace OAI
/-! Square-summable point weights and level-incidence bounds give finite
atomic payment on almost every prior level. -/
open Set Function MeasureTheory
open scoped ENNReal Classical
noncomputable section
namespace CircleDomainRigidity
theorem ae_finite_atomic_level_payment
{X T : Type*} [MeasurableSpace X] [MeasurableSpace T]
(ν : Measure T) (H : T → Set X)
(hH : ∀t, MeasurableSet (H t))
(hsection : ∀x, MeasurableSet {t | x ∈ H t})
(m a : X → ℝ≥0∞)
(hm : (∑'x, m x ^ 2) ≠ ∞) (ha : (∑'x, a x ^ 2) ≠ ∞)
(hincidence : ∀x, ν {t | x ∈ H t} ≤ a x) :
∀ᵐt ∂ν, atomicBoundaryMeasure m (H t) < ∞ := by
have hcount : (support m).Countable := by
simpa only [support, ne_eq, sq_eq_zero_iff] using
(Summable.countable_support_ennreal hm)
let : Countable (support m) := hcount.to_subtype
let L : T → ℝ≥0∞ := fun t => ∑'x : support m,
({t | x.val ∈ H t}).indicator (fun _ => m x.val) t
have hL : Measurable L := Measurable.tsum fun x =>
measurable_const.indicator (hsection x.val)
have hmass (t : T) : atomicBoundaryMeasure m (H t) = L t := by
rw [atomicBoundaryMeasure_apply m (hH t)]
have he : (∑'x : support m, (H t).indicator m x.val) = ∑'x, (H t).indicator m x := by
apply tsum_subtype_eq_of_support_subset
intro x hx
by_contra hmzero
have hz : m x = 0 := not_not.mp hmzero
simp only [mem_support] at hx
exact hx (by simp [hz])
rw [← he]
apply tsum_congr
intro x
by_cases hx : x.val ∈ H t <;> simp [hx]
have hfinite : (∫⁻t, L t ∂ν) < ∞ := by
calc
_ = ∑'x : support m, m x.val * ν {t | x.val ∈ H t} := by
rw [show (∫⁻t, L t ∂ν) =
∫⁻t, ∑'x : support m, ({t | x.val ∈ H t}).indicator (fun _ => m x.val) t ∂ν from rfl,
lintegral_tsum]
· exact tsum_congr fun x => lintegral_indicator_const (hsection x.val) _
· intro x
exact (measurable_const.indicator (hsection x.val)).aemeasurable
_ ≤ ∑'x : support m, (m x.val ^ 2 + a x.val ^ 2) := by
apply ENNReal.tsum_le_tsum
intro x
exact (mul_le_mul_right (hincidence x.val) (m x.val)).trans
(ennreal_mul_le_sq_add_sq (m x.val) (a x.val))
_ = (∑'x : support m, m x.val ^ 2) + ∑'x : support m, a x.val ^ 2 :=
ENNReal.tsum_add
_ ≤ (∑'x, m x ^ 2) + ∑'x, a x ^ 2 := add_le_add
(ENNReal.tsum_comp_le_tsum_of_injective
(f := fun x : support m => (x.val : X)) Subtype.val_injective (fun x => m x ^ 2))
(ENNReal.tsum_comp_le_tsum_of_injective
(f := fun x : support m => (x.val : X)) Subtype.val_injective (fun x => a x ^ 2))
_ < ∞ := ENNReal.add_lt_top.mpr ⟨hm.lt_top, ha.lt_top⟩
filter_upwards [ae_lt_top hL hfinite.ne] with t ht
rwa [hmass]
end CircleDomainRigidity
end
end OAI