production module
AutoSamplingTheory.TechnicalLemmas.Measure.ConvexInteriorAE
1 named declarations scanned from AutoSamplingTheory/TechnicalLemmas/Measure/ConvexInteriorAE.lean.
Declarations
theorem AutoSamplingTheory.TechnicalLemmas.Measure.ConvexInteriorAE.ae_mem_interior_of_convex_of_absolutelyContinuous Partial Not mapped
- If `μ` is absolutely continuous with respect to additive Haar measure and is almost everywhere supported on a convex set `s`, then `μ` is actually almost everywhere supported on `interior s`. The only removed points lie on the convex frontier, which is Haar-null.
theorem ae_mem_interior_of_convex_of_absolutelyContinuous
{s : Set E}
(hs : Convex ℝ s)
(hμm : μ ≪ m)
(hmem : ∀ᵐ x ∂μ, x ∈ s) :
∀ᵐ x ∂μ, x ∈ interior s := by
have hfront_m : m (frontier s) = 0 :=
hs.addHaar_frontier m
have hfront_μ : μ (frontier s) = 0 :=
hμm hfront_m
have hnotfront : ∀ᵐ x ∂μ, x ∉ frontier s :=
measure_eq_zero_iff_ae_notMem.mp hfront_μ
filter_upwards [hmem, hnotfront] with x hxs hxfront
have hxclosure : x ∈ closure s := subset_closure hxs
by_contra hxinterior
apply hxfront
simp [frontier, hxclosure, hxinterior]
end ConvexInteriorAE
end Measure
end TechnicalLemmas
end AutoSamplingTheory
AutoSamplingTheory/TechnicalLemmas/Measure/ConvexInteriorAE.lean:32published source at 0e31a3cda412