Mem W1p Witness ae eq p
DeGiorgi.MemW1pWitness.ae_eq_p
Plain-language statement
Weak gradients of the same W^{1,p} function agree a.e. on the source open set.
Exact Lean statement
theorem MemW1pWitness.ae_eq_p
{Ω : Set E} (hΩ : IsOpen Ω) {p : ℝ} (hp : 1 ≤ p) {f : E → ℝ}
(hw₁ hw₂ : MemW1pWitness (ENNReal.ofReal p) f Ω) :
hw₁.weakGrad =ᵐ[volume.restrict Ω] hw₂.weakGradFormal artifact
Lean source
theorem MemW1pWitness.ae_eq_p {Ω : Set E} (hΩ : IsOpen Ω) {p : ℝ} (hp : 1 ≤ p) {f : E → ℝ} (hw₁ hw₂ : MemW1pWitness (ENNReal.ofReal p) f Ω) : hw₁.weakGrad =ᵐ[volume.restrict Ω] hw₂.weakGrad := by let _ := (inferInstance : NeZero d) have hp_enn : (1 : ℝ≥0∞) ≤ ENNReal.ofReal p := by simpa using (ENNReal.ofReal_le_ofReal hp : ENNReal.ofReal (1 : ℝ) ≤ ENNReal.ofReal p) have hcomp : ∀ i : Fin d, (fun x => hw₁.weakGrad x i) =ᵐ[volume.restrict Ω] (fun x => hw₂.weakGrad x i) := by intro i exact HasWeakPartialDeriv.ae_eq hΩ (hw₁.isWeakGrad i) (hw₂.isWeakGrad i) ((hw₁.weakGrad_component_memLp i).locallyIntegrable hp_enn) ((hw₂.weakGrad_component_memLp i).locallyIntegrable hp_enn) filter_upwards [ae_all_iff.2 hcomp] with x hx ext i exact hx i- Project
- DeGiorgi
- License
- Apache-2.0
- Commit
- 4c1b3077d378
- Source
- DeGiorgi/SobolevSpace/Approximation.lean:916-932
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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.