fpvandoorn/carleson
Source indexedlemma · leanprover/lean4:v4.32.0
MeasureTheory.distribution_add_le_of_enorm
Carleson.ToMathlib.Distribution · Carleson/ToMathlib/Distribution.lean:113 to 125
Mathematical statement
Exact Lean statement
lemma distribution_add_le_of_enorm {A : ℝ≥0∞}
(h : ∀ᵐ x ∂μ, ‖f x‖ₑ ≤ A * (‖g₁ x‖ₑ + ‖g₂ x‖ₑ)) :
distribution f (A * (t + s)) μ ≤ distribution g₁ t μ + distribution g₂ s μComplete declaration
Lean source
Full Lean sourceLean 4
lemma distribution_add_le_of_enorm {A : ℝ≥0∞} (h : ∀ᵐ x ∂μ, ‖f x‖ₑ ≤ A * (‖g₁ x‖ₑ + ‖g₂ x‖ₑ)) : distribution f (A * (t + s)) μ ≤ distribution g₁ t μ + distribution g₂ s μ := by unfold distribution have h₁ : μ ({x | A * (t + s) < ‖f x‖ₑ} \ ({x | t < ‖g₁ x‖ₑ} ∪ {x | s < ‖g₂ x‖ₑ})) = 0 := by apply measure_mono_null ?_ h intro x simpa using fun h₁ h₂ h₃ ↦ lt_of_le_of_lt (by gcongr) h₁ calc μ {x | A * (t + s) < ‖f x‖ₑ} ≤ μ ({x | t < ‖g₁ x‖ₑ} ∪ {x | s < ‖g₂ x‖ₑ}) := measure_mono_ae' h₁ _ ≤ μ {x | t < ‖g₁ x‖ₑ} + μ {x | s < ‖g₂ x‖ₑ} := measure_union_le _ _