Caccioppoli localize on subset
DeGiorgi.caccioppoli_localize_on_subset
Plain-language statement
Localization step for weighted Caccioppoli on nested sets.
Exact Lean statement
theorem caccioppoli_localize_on_subset
{α : Type*} [MeasurableSpace α] {μ : Measure α}
{s t : Set α} (hst : s ⊆ t)
{G v η ζ : α → ℝ} {C_coeff C_grad : ℝ}
(hs_meas : MeasurableSet s) (ht_meas : MeasurableSet t)
(hη_eq_one : ∀ x ∈ s, η x = 1)
(hC_coeff : 0 ≤ C_coeff) (hC_grad : 0 ≤ C_grad)
(hζ_nonneg : ∀ x ∈ t, 0 ≤ ζ x)
(hζ_bound : ∀ x ∈ t, ζ x ≤ C_grad)
(h_weighted :
∫ x in t, η x ^ 2 * ‖G x‖ ^ 2 ∂μ ≤
C_coeff * ∫ x in t, ζ x ^ 2 * |v x| ^ 2 ∂μ)
(hweighted_int : IntegrableOn (fun x => η x ^ 2 * ‖G x‖ ^ 2) t μ)
(hzv_int : IntegrableOn (fun x => ζ x ^ 2 * |v x| ^ 2) t μ)
(hv_sq_int : IntegrableOn (fun x => |v x| ^ 2) t μ) :
∫ x in s, ‖G x‖ ^ 2 ∂μ ≤
C_coeff * C_grad ^ 2 * ∫ x in t, |v x| ^ 2 ∂μFormal artifact
Lean source
theorem caccioppoli_localize_on_subset {α : Type*} [MeasurableSpace α] {μ : Measure α} {s t : Set α} (hst : s ⊆ t) {G v η ζ : α → ℝ} {C_coeff C_grad : ℝ} (hs_meas : MeasurableSet s) (ht_meas : MeasurableSet t) (hη_eq_one : ∀ x ∈ s, η x = 1) (hC_coeff : 0 ≤ C_coeff) (hC_grad : 0 ≤ C_grad) (hζ_nonneg : ∀ x ∈ t, 0 ≤ ζ x) (hζ_bound : ∀ x ∈ t, ζ x ≤ C_grad) (h_weighted : ∫ x in t, η x ^ 2 * ‖G x‖ ^ 2 ∂μ ≤ C_coeff * ∫ x in t, ζ x ^ 2 * |v x| ^ 2 ∂μ) (hweighted_int : IntegrableOn (fun x => η x ^ 2 * ‖G x‖ ^ 2) t μ) (hzv_int : IntegrableOn (fun x => ζ x ^ 2 * |v x| ^ 2) t μ) (hv_sq_int : IntegrableOn (fun x => |v x| ^ 2) t μ) : ∫ x in s, ‖G x‖ ^ 2 ∂μ ≤ C_coeff * C_grad ^ 2 * ∫ x in t, |v x| ^ 2 ∂μ := by have hleft_eq : ∫ x in s, ‖G x‖ ^ 2 ∂μ = ∫ x in s, η x ^ 2 * ‖G x‖ ^ 2 ∂μ := by refine integral_congr_ae ?_ refine (ae_restrict_iff' (μ := μ) ?_).2 ?_ · exact hs_meas · filter_upwards with x hx simp [hη_eq_one x hx] have hweighted_nonneg : ∀ x, 0 ≤ η x ^ 2 * ‖G x‖ ^ 2 := by intro x positivity have hleft_mono : ∫ x in s, η x ^ 2 * ‖G x‖ ^ 2 ∂μ ≤ ∫ x in t, η x ^ 2 * ‖G x‖ ^ 2 ∂μ := by exact setIntegral_mono_set hweighted_int (ae_of_all _ hweighted_nonneg) (ae_of_all _ hst) have hgrad_pt : ∀ x ∈ t, ζ x ^ 2 * |v x| ^ 2 ≤ C_grad ^ 2 * |v x| ^ 2 := by intro x hx have hsq : ζ x ^ 2 ≤ C_grad ^ 2 := by nlinarith [hζ_nonneg x hx, hζ_bound x hx, hC_grad] apply mul_le_mul_of_nonneg_right ?_ (sq_nonneg _) exact hsq have hgrad_int : IntegrableOn (fun x => C_grad ^ 2 * |v x| ^ 2) t μ := by simpa using hv_sq_int.const_mul (C_grad ^ 2) have hgrad_bound : ∫ x in t, ζ x ^ 2 * |v x| ^ 2 ∂μ ≤ ∫ x in t, C_grad ^ 2 * |v x| ^ 2 ∂μ := by refine integral_mono_ae hzv_int hgrad_int ?_ refine (ae_restrict_iff' (μ := μ) ?_).2 ?_ · exact ht_meas · filter_upwards with x hx exact hgrad_pt x hx have hconst_mul : ∫ x in t, C_grad ^ 2 * |v x| ^ 2 ∂μ = C_grad ^ 2 * ∫ x in t, |v x| ^ 2 ∂μ := by rw [integral_const_mul] calc ∫ x in s, ‖G x‖ ^ 2 ∂μ = ∫ x in s, η x ^ 2 * ‖G x‖ ^ 2 ∂μ := hleft_eq _ ≤ ∫ x in t, η x ^ 2 * ‖G x‖ ^ 2 ∂μ := hleft_mono _ ≤ C_coeff * ∫ x in t, ζ x ^ 2 * |v x| ^ 2 ∂μ := h_weighted _ ≤ C_coeff * ∫ x in t, C_grad ^ 2 * |v x| ^ 2 ∂μ := by gcongr _ = C_coeff * C_grad ^ 2 * ∫ x in t, |v x| ^ 2 ∂μ := by rw [hconst_mul] ring- Project
- DeGiorgi
- License
- Apache-2.0
- Commit
- 4c1b3077d378
- Source
- DeGiorgi/DeGiorgiIteration/Energy.lean:1018-1078
Reuse this declaration
Bring the exact result into your workflow
The import identifies the source module. Your project still needs the pinned package dependency shown on this page.
What this badge means
This completion status comes from the project or community source. It has not yet been represented here as an independent rebuild and axiom audit.
Continue in this project
Related declarations
Ae eq of tendsto e Lp Norm sub
BareFunction.ae_eq_of_tendsto_eLpNorm_sub
Plain-language statement
Lp limit uniqueness: if f_n → g₁ and f_n → g₂ in eLpNorm, then g₁ =ᵐ g₂.
Source project: DeGiorgi
Person-level attribution pending.
E Lp Norm pi le sum component
BareFunction.eLpNorm_pi_le_sum_component
Plain-language statement
Vector eLpNorm ≤ sum of component eLpNorms for Pi-valued functions. Uses eLpNorm_mono_real for the pointwise bound together with eLpNorm_sum_le for ℝ-valued functions, avoiding Pi instance synthesis.
Source project: DeGiorgi
Person-level attribution pending.
Mem Lp of tendsto e Lp Norm
BareFunction.memLp_of_tendsto_eLpNorm
Plain-language statement
If f n → g in eLpNorm and each f n ∈ Lp, then g ∈ Lp, provided g is AEStronglyMeasurable. Avoids the Lp type entirely. The key observation: eLpNorm (f n - g) → 0 means eLpNorm (f N - g) < 1 for some N. Then eLpNorm g ≤ eLpNorm (f N - g) + eLpNorm (f N) < ∞.
Source project: DeGiorgi
Person-level attribution pending.