Loogle!
Result
Found 99 declarations mentioning MeasureTheory.average.
- MeasureTheory.average 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] (μ : MeasureTheory.Measure α) (f : α → E) : E - MeasureTheory.average_eq_integral 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] (μ : MeasureTheory.Measure α) (f : α → E) [MeasureTheory.IsProbabilityMeasure μ] : ⨍ (x : α), f x ∂μ = ∫ (x : α), f x ∂μ - MeasureTheory.average_const 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] (μ : MeasureTheory.Measure α) [MeasureTheory.IsFiniteMeasure μ] [h : NeZero μ] (c : E) : ⨍ (_x : α), c ∂μ = c - MeasureTheory.average_zero_measure 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] (f : α → E) : ⨍ (x : α), f x ∂0 = 0 - MeasureTheory.average_congr 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] {μ : MeasureTheory.Measure α} {f g : α → E} (h : f =ᵐ[μ] g) : ⨍ (x : α), f x ∂μ = ⨍ (x : α), g x ∂μ - MeasureTheory.toReal_laverage 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {m0 : MeasurableSpace α} {μ : MeasureTheory.Measure α} {f : α → ENNReal} (hf : AEMeasurable f μ) (hf' : ∀ᵐ (x : α) ∂μ, f x ≠ ⊤) : (⨍⁻ (x : α), f x ∂μ).toReal = ⨍ (x : α), (f x).toReal ∂μ - MeasureTheory.integral_average 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] (μ : MeasureTheory.Measure α) [MeasureTheory.IsFiniteMeasure μ] (f : α → E) : ∫ (x : α), ⨍ (a : α), f a ∂μ ∂μ = ∫ (x : α), f x ∂μ - MeasureTheory.average_zero 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] (μ : MeasureTheory.Measure α) : ⨍ (x : α), 0 ∂μ = 0 - MeasureTheory.setAverage_congr 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] {μ : MeasureTheory.Measure α} {s t : Set α} {f : α → E} (h : s =ᵐ[μ] t) : ⨍ (x : α) in s, f x ∂μ = ⨍ (x : α) in t, f x ∂μ - MeasureTheory.average_count 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] [Module ℚ≥0 E] [CompleteSpace E] [MeasurableSingletonClass α] [Fintype α] (f : α → E) : ⨍ (a : α), f a ∂MeasureTheory.Measure.count = Finset.univ.expect fun a => f a - MeasureTheory.average_fun_neg 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] (μ : MeasureTheory.Measure α) (f : α → E) : ⨍ (x : α), -f x ∂μ = -⨍ (x : α), f x ∂μ - MeasureTheory.exists_average_le 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {m0 : MeasurableSpace α} {μ : MeasureTheory.Measure α} {f : α → ℝ} [MeasureTheory.IsFiniteMeasure μ] (hμ : μ ≠ 0) (hf : MeasureTheory.Integrable f μ) : ∃ x, ⨍ (a : α), f a ∂μ ≤ f x - MeasureTheory.exists_le_average 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {m0 : MeasurableSpace α} {μ : MeasureTheory.Measure α} {f : α → ℝ} [MeasureTheory.IsFiniteMeasure μ] (hμ : μ ≠ 0) (hf : MeasureTheory.Integrable f μ) : ∃ x, f x ≤ ⨍ (a : α), f a ∂μ - MeasureTheory.setIntegral_setAverage 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] (μ : MeasureTheory.Measure α) [MeasureTheory.IsFiniteMeasure μ] (f : α → E) (s : Set α) : ∫ (x : α) in s, ⨍ (a : α) in s, f a ∂μ ∂μ = ∫ (x : α) in s, f x ∂μ - MeasureTheory.average_neg 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] (μ : MeasureTheory.Measure α) (f : α → E) : ⨍ (x : α), (-f) x ∂μ = -⨍ (x : α), f x ∂μ - MeasureTheory.toReal_setLAverage 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {m0 : MeasurableSpace α} {μ : MeasureTheory.Measure α} {s : Set α} {f : α → ENNReal} (hf : AEMeasurable f (μ.restrict s)) (hf' : ∀ᵐ (x : α) ∂μ.restrict s, f x ≠ ⊤) : (⨍⁻ (x : α) in s, f x ∂μ).toReal = ⨍ (x : α) in s, (f x).toReal ∂μ - MeasureTheory.setAverage_congr_fun 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] {μ : MeasureTheory.Measure α} {s : Set α} {f g : α → E} (hs : MeasurableSet s) (h : ∀ᵐ (x : α) ∂μ, x ∈ s → f x = g x) : ⨍ (x : α) in s, f x ∂μ = ⨍ (x : α) in s, g x ∂μ - MeasureTheory.setAverage_const 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] {μ : MeasureTheory.Measure α} [CompleteSpace E] {s : Set α} (hs₀ : μ s ≠ 0) (hs : μ s ≠ ⊤) (c : E) : ⨍ (x : α) in s, c ∂μ = c - MeasureTheory.integral_sub_average 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] (μ : MeasureTheory.Measure α) [MeasureTheory.IsFiniteMeasure μ] (f : α → E) : ∫ (x : α), f x - ⨍ (a : α), f a ∂μ ∂μ = 0 - MeasureTheory.average_eq' 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] (μ : MeasureTheory.Measure α) (f : α → E) : ⨍ (x : α), f x ∂μ = ∫ (x : α), f x ∂(μ Set.univ)⁻¹ • μ - MeasureTheory.measure_average_le_pos 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {m0 : MeasurableSpace α} {μ : MeasureTheory.Measure α} {f : α → ℝ} [MeasureTheory.IsFiniteMeasure μ] (hμ : μ ≠ 0) (hf : MeasureTheory.Integrable f μ) : 0 < μ {x | ⨍ (a : α), f a ∂μ ≤ f x} - MeasureTheory.measure_le_average_pos 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {m0 : MeasurableSpace α} {μ : MeasureTheory.Measure α} {f : α → ℝ} [MeasureTheory.IsFiniteMeasure μ] (hμ : μ ≠ 0) (hf : MeasureTheory.Integrable f μ) : 0 < μ {x | f x ≤ ⨍ (a : α), f a ∂μ} - MeasureTheory.average_fun_finsetSum 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] {μ : MeasureTheory.Measure α} {ι : Type u_4} {s : Finset ι} {f : ι → α → E} (hf : ∀ i ∈ s, MeasureTheory.Integrable (f i) μ) : ⨍ (a : α), ∑ c ∈ s, f c a ∂μ = ∑ i ∈ s, ⨍ (a : α), f i a ∂μ - MeasureTheory.setAverage_eq' 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] (μ : MeasureTheory.Measure α) (f : α → E) (s : Set α) : ⨍ (x : α) in s, f x ∂μ = ∫ (x : α), f x ∂(μ s)⁻¹ • μ.restrict s - MeasureTheory.exists_notMem_null_average_le 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {m0 : MeasurableSpace α} {μ : MeasureTheory.Measure α} {N : Set α} {f : α → ℝ} [MeasureTheory.IsFiniteMeasure μ] (hμ : μ ≠ 0) (hf : MeasureTheory.Integrable f μ) (hN : μ N = 0) : ∃ x ∉ N, ⨍ (a : α), f a ∂μ ≤ f x - MeasureTheory.exists_notMem_null_le_average 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {m0 : MeasurableSpace α} {μ : MeasureTheory.Measure α} {N : Set α} {f : α → ℝ} [MeasureTheory.IsFiniteMeasure μ] (hμ : μ ≠ 0) (hf : MeasureTheory.Integrable f μ) (hN : μ N = 0) : ∃ x ∉ N, f x ≤ ⨍ (a : α), f a ∂μ - MeasureTheory.average_finsetSum 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] {μ : MeasureTheory.Measure α} {ι : Type u_4} {s : Finset ι} {f : ι → α → E} (hf : ∀ i ∈ s, MeasureTheory.Integrable (f i) μ) : ⨍ (a : α), (∑ i ∈ s, f i) a ∂μ = ∑ i ∈ s, ⨍ (a : α), f i a ∂μ - MeasureTheory.integral_average_sub 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] {μ : MeasureTheory.Measure α} {f : α → E} [CompleteSpace E] [MeasureTheory.IsFiniteMeasure μ] (hf : MeasureTheory.Integrable f μ) : ∫ (x : α), ⨍ (a : α), f a ∂μ - f x ∂μ = 0 - MeasureTheory.exists_le_setAverage 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {m0 : MeasurableSpace α} {μ : MeasureTheory.Measure α} {s : Set α} {f : α → ℝ} (hμ : μ s ≠ 0) (hμ₁ : μ s ≠ ⊤) (hf : MeasureTheory.IntegrableOn f s μ) : ∃ x ∈ s, f x ≤ ⨍ (a : α) in s, f a ∂μ - MeasureTheory.exists_setAverage_le 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {m0 : MeasurableSpace α} {μ : MeasureTheory.Measure α} {s : Set α} {f : α → ℝ} (hμ : μ s ≠ 0) (hμ₁ : μ s ≠ ⊤) (hf : MeasureTheory.IntegrableOn f s μ) : ∃ x ∈ s, ⨍ (a : α) in s, f a ∂μ ≤ f x - MeasureTheory.ofReal_average 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {m0 : MeasurableSpace α} {μ : MeasureTheory.Measure α} {f : α → ℝ} (hf : MeasureTheory.Integrable f μ) (hf₀ : 0 ≤ᵐ[μ] f) : ENNReal.ofReal (⨍ (x : α), f x ∂μ) = (∫⁻ (x : α), ENNReal.ofReal (f x) ∂μ) / μ Set.univ - MeasureTheory.setAverage_sub_setAverage 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] {μ : MeasureTheory.Measure α} {s : Set α} [CompleteSpace E] (hs : μ s ≠ ⊤) (f : α → E) : ∫ (x : α) in s, f x - ⨍ (a : α) in s, f a ∂μ ∂μ = 0 - MeasureTheory.setAverage_fun_finsetSum 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] {μ : MeasureTheory.Measure α} {s : Set α} {ι : Type u_4} {t : Finset ι} {f : ι → α → E} (hf : ∀ i ∈ t, MeasureTheory.IntegrableOn (f i) s μ) : ⨍ (a : α) in s, ∑ c ∈ t, f c a ∂μ = ∑ i ∈ t, ⨍ (a : α) in s, f i a ∂μ - MeasureTheory.average_eq 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] (μ : MeasureTheory.Measure α) (f : α → E) : ⨍ (x : α), f x ∂μ = (μ.real Set.univ)⁻¹ • ∫ (x : α), f x ∂μ - MeasureTheory.measure_smul_average 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] (μ : MeasureTheory.Measure α) (f : α → E) [MeasureTheory.IsFiniteMeasure μ] : μ.real Set.univ • ⨍ (x : α), f x ∂μ = ∫ (x : α), f x ∂μ - MeasureTheory.setAverage_finsetSum 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] {μ : MeasureTheory.Measure α} {s : Set α} {ι : Type u_4} {t : Finset ι} {f : ι → α → E} (hf : ∀ i ∈ t, MeasureTheory.IntegrableOn (f i) s μ) : ⨍ (a : α) in s, (∑ i ∈ t, f i) a ∂μ = ∑ i ∈ t, ⨍ (a : α) in s, f i a ∂μ - MeasureTheory.ofReal_setAverage 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {m0 : MeasurableSpace α} {μ : MeasureTheory.Measure α} {s : Set α} {f : α → ℝ} (hf : MeasureTheory.IntegrableOn f s μ) (hf₀ : 0 ≤ᵐ[μ.restrict s] f) : ENNReal.ofReal (⨍ (x : α) in s, f x ∂μ) = (∫⁻ (x : α) in s, ENNReal.ofReal (f x) ∂μ) / μ s - MeasureTheory.exists_eq_setAverage 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {m0 : MeasurableSpace α} {μ : MeasureTheory.Measure α} {s : Set α} [TopologicalSpace α] {f : α → ℝ} (hs : IsConnected s) (hf : ContinuousOn f s) (hint : MeasureTheory.IntegrableOn f s μ) (hμfin : μ s ≠ ⊤) (hμ0 : μ s ≠ 0) : ∃ c ∈ s, f c = ⨍ (x : α) in s, f x ∂μ - MeasureTheory.setAverage_eq 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] (μ : MeasureTheory.Measure α) (f : α → E) (s : Set α) : ⨍ (x : α) in s, f x ∂μ = (μ.real s)⁻¹ • ∫ (x : α) in s, f x ∂μ - MeasureTheory.average_fun_sub 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] {μ : MeasureTheory.Measure α} {f g : α → E} (hf : MeasureTheory.Integrable f μ) (hg : MeasureTheory.Integrable g μ) : ⨍ (a : α), f a - g a ∂μ = ⨍ (a : α), f a ∂μ - ⨍ (a : α), g a ∂μ - MeasureTheory.average_fun_add 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] {μ : MeasureTheory.Measure α} {f g : α → E} (hf : MeasureTheory.Integrable f μ) (hg : MeasureTheory.Integrable g μ) : ⨍ (a : α), f a + g a ∂μ = ⨍ (a : α), f a ∂μ + ⨍ (a : α), g a ∂μ - MeasureTheory.setIntegral_setAverage_sub 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] {μ : MeasureTheory.Measure α} {s : Set α} {f : α → E} [CompleteSpace E] (hs : μ s ≠ ⊤) (hf : MeasureTheory.IntegrableOn f s μ) : ∫ (x : α) in s, ⨍ (a : α) in s, f a ∂μ - f x ∂μ = 0 - MeasureTheory.measure_le_setAverage_pos 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {m0 : MeasurableSpace α} {μ : MeasureTheory.Measure α} {s : Set α} {f : α → ℝ} (hμ : μ s ≠ 0) (hμ₁ : μ s ≠ ⊤) (hf : MeasureTheory.IntegrableOn f s μ) : 0 < μ {x | x ∈ s ∧ f x ≤ ⨍ (a : α) in s, f a ∂μ} - MeasureTheory.measure_setAverage_le_pos 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {m0 : MeasurableSpace α} {μ : MeasureTheory.Measure α} {s : Set α} {f : α → ℝ} (hμ : μ s ≠ 0) (hμ₁ : μ s ≠ ⊤) (hf : MeasureTheory.IntegrableOn f s μ) : 0 < μ {x | x ∈ s ∧ ⨍ (a : α) in s, f a ∂μ ≤ f x} - MeasureTheory.average_sub 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] {μ : MeasureTheory.Measure α} {f g : α → E} (hf : MeasureTheory.Integrable f μ) (hg : MeasureTheory.Integrable g μ) : ⨍ (a : α), (f - g) a ∂μ = ⨍ (a : α), f a ∂μ - ⨍ (a : α), g a ∂μ - MeasureTheory.average_add 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] {μ : MeasureTheory.Measure α} {f g : α → E} (hf : MeasureTheory.Integrable f μ) (hg : MeasureTheory.Integrable g μ) : ⨍ (a : α), (f + g) a ∂μ = ⨍ (a : α), f a ∂μ + ⨍ (a : α), g a ∂μ - MeasureTheory.average_const_mul 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {m0 : MeasurableSpace α} (μ : MeasureTheory.Measure α) {𝕜 : Type u_4} [RCLike 𝕜] (r : 𝕜) (f : α → 𝕜) : ⨍ (a : α), r * f a ∂μ = r * ⨍ (a : α), f a ∂μ - MeasureTheory.average_mul_const 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {m0 : MeasurableSpace α} (μ : MeasureTheory.Measure α) {𝕜 : Type u_4} [RCLike 𝕜] (f : α → 𝕜) (r : 𝕜) : ⨍ (a : α), f a * r ∂μ = (⨍ (a : α), f a ∂μ) * r - MeasureTheory.measure_smul_setAverage 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] {μ : MeasureTheory.Measure α} (f : α → E) {s : Set α} (h : μ s ≠ ⊤) : μ.real s • ⨍ (x : α) in s, f x ∂μ = ∫ (x : α) in s, f x ∂μ - MeasureTheory.setAverage_fun_sub 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] {μ : MeasureTheory.Measure α} {s : Set α} {f g : α → E} (hf : MeasureTheory.IntegrableOn f s μ) (hg : MeasureTheory.IntegrableOn g s μ) : ⨍ (a : α) in s, f a - g a ∂μ = ⨍ (a : α) in s, f a ∂μ - ⨍ (a : α) in s, g a ∂μ - MeasureTheory.setAverage_fun_add 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] {μ : MeasureTheory.Measure α} {s : Set α} {f g : α → E} (hf : MeasureTheory.IntegrableOn f s μ) (hg : MeasureTheory.IntegrableOn g s μ) : ⨍ (a : α) in s, f a + g a ∂μ = ⨍ (a : α) in s, f a ∂μ + ⨍ (a : α) in s, g a ∂μ - MeasureTheory.average_pair 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {F : Type u_3} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] [NormedAddCommGroup F] [NormedSpace ℝ F] [CompleteSpace F] {μ : MeasureTheory.Measure α} [CompleteSpace E] {f : α → E} {g : α → F} (hfi : MeasureTheory.Integrable f μ) (hgi : MeasureTheory.Integrable g μ) : ⨍ (x : α), (f x, g x) ∂μ = (⨍ (x : α), f x ∂μ, ⨍ (x : α), g x ∂μ) - MeasureTheory.setAverage_sub 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] {μ : MeasureTheory.Measure α} {s : Set α} {f g : α → E} (hf : MeasureTheory.IntegrableOn f s μ) (hg : MeasureTheory.IntegrableOn g s μ) : ⨍ (a : α) in s, (f - g) a ∂μ = ⨍ (a : α) in s, f a ∂μ - ⨍ (a : α) in s, g a ∂μ - MeasureTheory.setAverage_add 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] {μ : MeasureTheory.Measure α} {s : Set α} {f g : α → E} (hf : MeasureTheory.IntegrableOn f s μ) (hg : MeasureTheory.IntegrableOn g s μ) : ⨍ (a : α) in s, (f + g) a ∂μ = ⨍ (a : α) in s, f a ∂μ + ⨍ (a : α) in s, g a ∂μ - MeasureTheory.average_nonneg 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] {μ : MeasureTheory.Measure α} {f : α → E} [PartialOrder E] [IsOrderedAddMonoid E] [IsOrderedModule ℝ E] [ClosedIciTopology E] (hf : 0 ≤ f) : 0 ≤ ⨍ (a : α), f a ∂μ - MeasureTheory.average_nonneg_of_ae 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] {μ : MeasureTheory.Measure α} {f : α → E} [PartialOrder E] [IsOrderedAddMonoid E] [IsOrderedModule ℝ E] [ClosedIciTopology E] (hf : 0 ≤ᵐ[μ] f) : 0 ≤ ⨍ (a : α), f a ∂μ - MeasureTheory.average_mem_openSegment_compl_self 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] {μ : MeasureTheory.Measure α} [MeasureTheory.IsFiniteMeasure μ] {f : α → E} {s : Set α} (hs : MeasureTheory.NullMeasurableSet s μ) (hs₀ : μ s ≠ 0) (hsc₀ : μ sᶜ ≠ 0) (hfi : MeasureTheory.Integrable f μ) : ⨍ (x : α), f x ∂μ ∈ openSegment ℝ (⨍ (x : α) in s, f x ∂μ) (⨍ (x : α) in sᶜ, f x ∂μ) - MeasureTheory.average_union_mem_segment 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] {μ : MeasureTheory.Measure α} {f : α → E} {s t : Set α} (hd : MeasureTheory.AEDisjoint μ s t) (ht : MeasureTheory.NullMeasurableSet t μ) (hsμ : μ s ≠ ⊤) (htμ : μ t ≠ ⊤) (hfs : MeasureTheory.IntegrableOn f s μ) (hft : MeasureTheory.IntegrableOn f t μ) : ⨍ (x : α) in s ∪ t, f x ∂μ ∈ segment ℝ (⨍ (x : α) in s, f x ∂μ) (⨍ (x : α) in t, f x ∂μ) - MeasureTheory.average_const_smul 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] (μ : MeasureTheory.Measure α) {𝕜 : Type u_4} [RCLike 𝕜] [NormedSpace 𝕜 E] (r : 𝕜) (f : α → E) : ⨍ (a : α), r • f a ∂μ = r • ⨍ (a : α), f a ∂μ - MeasureTheory.average_union_mem_openSegment 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] {μ : MeasureTheory.Measure α} {f : α → E} {s t : Set α} (hd : MeasureTheory.AEDisjoint μ s t) (ht : MeasureTheory.NullMeasurableSet t μ) (hs₀ : μ s ≠ 0) (ht₀ : μ t ≠ 0) (hsμ : μ s ≠ ⊤) (htμ : μ t ≠ ⊤) (hfs : MeasureTheory.IntegrableOn f s μ) (hft : MeasureTheory.IntegrableOn f t μ) : ⨍ (x : α) in s ∪ t, f x ∂μ ∈ openSegment ℝ (⨍ (x : α) in s, f x ∂μ) (⨍ (x : α) in t, f x ∂μ) - MeasureTheory.average_smul_const 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] (μ : MeasureTheory.Measure α) {𝕜 : Type u_4} [RCLike 𝕜] [NormedSpace 𝕜 E] [CompleteSpace E] (f : α → 𝕜) (c : E) : ⨍ (a : α), f a • c ∂μ = (⨍ (a : α), f a ∂μ) • c - MeasureTheory.tendsto_integral_smul_of_tendsto_average_norm_sub 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] {μ : MeasureTheory.Measure α} [CompleteSpace E] {ι : Type u_4} {a : ι → Set α} {l : Filter ι} {f : α → E} {c : E} {g : ι → α → ℝ} (K : ℝ) (hf : Filter.Tendsto (fun i => ⨍ (y : α) in a i, ‖f y - c‖ ∂μ) l (nhds 0)) (f_int : ∀ᶠ (i : ι) in l, MeasureTheory.IntegrableOn f (a i) μ) (hg : Filter.Tendsto (fun i => ∫ (y : α), g i y ∂μ) l (nhds 1)) (g_supp : ∀ᶠ (i : ι) in l, Function.support (g i) ⊆ a i) (g_bound : ∀ᶠ (i : ι) in l, ∀ (x : α), |g i x| ≤ K / μ.real (a i)) : Filter.Tendsto (fun i => ∫ (y : α), g i y • f y ∂μ) l (nhds c) - MeasureTheory.average_add_measure 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] {μ : MeasureTheory.Measure α} [MeasureTheory.IsFiniteMeasure μ] {ν : MeasureTheory.Measure α} [MeasureTheory.IsFiniteMeasure ν] {f : α → E} (hμ : MeasureTheory.Integrable f μ) (hν : MeasureTheory.Integrable f ν) : ⨍ (x : α), f x ∂(μ + ν) = (μ.real Set.univ / (μ.real Set.univ + ν.real Set.univ)) • ⨍ (x : α), f x ∂μ + (ν.real Set.univ / (μ.real Set.univ + ν.real Set.univ)) • ⨍ (x : α), f x ∂ν - MeasureTheory.average_union 📋 Mathlib.MeasureTheory.Integral.Average
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] {μ : MeasureTheory.Measure α} {f : α → E} {s t : Set α} (hd : MeasureTheory.AEDisjoint μ s t) (ht : MeasureTheory.NullMeasurableSet t μ) (hsμ : μ s ≠ ⊤) (htμ : μ t ≠ ⊤) (hfs : MeasureTheory.IntegrableOn f s μ) (hft : MeasureTheory.IntegrableOn f t μ) : ⨍ (x : α) in s ∪ t, f x ∂μ = (μ.real s / (μ.real s + μ.real t)) • ⨍ (x : α) in s, f x ∂μ + (μ.real t / (μ.real s + μ.real t)) • ⨍ (x : α) in t, f x ∂μ - VitaliFamily.ae_tendsto_average 📋 Mathlib.MeasureTheory.Covering.Differentiation
{α : Type u_1} [PseudoMetricSpace α] {m0 : MeasurableSpace α} {μ : MeasureTheory.Measure α} (v : VitaliFamily μ) {E : Type u_2} [NormedAddCommGroup E] [SecondCountableTopology α] [BorelSpace α] [MeasureTheory.IsLocallyFiniteMeasure μ] [NormedSpace ℝ E] [CompleteSpace E] {f : α → E} (hf : MeasureTheory.LocallyIntegrable f μ) : ∀ᵐ (x : α) ∂μ, Filter.Tendsto (fun a => ⨍ (y : α) in a, f y ∂μ) (v.filterAt x) (nhds (f x)) - VitaliFamily.ae_tendsto_average_norm_sub 📋 Mathlib.MeasureTheory.Covering.Differentiation
{α : Type u_1} [PseudoMetricSpace α] {m0 : MeasurableSpace α} {μ : MeasureTheory.Measure α} (v : VitaliFamily μ) {E : Type u_2} [NormedAddCommGroup E] [SecondCountableTopology α] [BorelSpace α] [MeasureTheory.IsLocallyFiniteMeasure μ] {f : α → E} (hf : MeasureTheory.LocallyIntegrable f μ) : ∀ᵐ (x : α) ∂μ, Filter.Tendsto (fun a => ⨍ (y : α) in a, ‖f y - f x‖ ∂μ) (v.filterAt x) (nhds 0) - IsUnifLocDoublingMeasure.ae_tendsto_average 📋 Mathlib.MeasureTheory.Covering.DensityTheorem
{α : Type u_1} [PseudoMetricSpace α] [MeasurableSpace α] (μ : MeasureTheory.Measure α) [IsUnifLocDoublingMeasure μ] [SecondCountableTopology α] [BorelSpace α] [MeasureTheory.IsLocallyFiniteMeasure μ] {E : Type u_2} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {f : α → E} (hf : MeasureTheory.LocallyIntegrable f μ) (K : ℝ) : ∀ᵐ (x : α) ∂μ, ∀ {ι : Type u_3} {l : Filter ι} (w : ι → α) (δ : ι → ℝ), Filter.Tendsto δ l (nhdsWithin 0 (Set.Ioi 0)) → (∀ᶠ (j : ι) in l, x ∈ Metric.closedBall (w j) (K * δ j)) → Filter.Tendsto (fun j => ⨍ (y : α) in Metric.closedBall (w j) (δ j), f y ∂μ) l (nhds (f x)) - IsUnifLocDoublingMeasure.ae_tendsto_average_norm_sub 📋 Mathlib.MeasureTheory.Covering.DensityTheorem
{α : Type u_1} [PseudoMetricSpace α] [MeasurableSpace α] (μ : MeasureTheory.Measure α) [IsUnifLocDoublingMeasure μ] [SecondCountableTopology α] [BorelSpace α] [MeasureTheory.IsLocallyFiniteMeasure μ] {E : Type u_2} [NormedAddCommGroup E] {f : α → E} (hf : MeasureTheory.LocallyIntegrable f μ) (K : ℝ) : ∀ᵐ (x : α) ∂μ, ∀ {ι : Type u_3} {l : Filter ι} (w : ι → α) (δ : ι → ℝ), Filter.Tendsto δ l (nhdsWithin 0 (Set.Ioi 0)) → (∀ᶠ (j : ι) in l, x ∈ Metric.closedBall (w j) (K * δ j)) → Filter.Tendsto (fun j => ⨍ (y : α) in Metric.closedBall (w j) (δ j), ‖f y - f x‖ ∂μ) l (nhds 0) - interval_average_symm 📋 Mathlib.MeasureTheory.Integral.IntervalAverage
{E : Type u_1} [NormedAddCommGroup E] [NormedSpace ℝ E] (f : ℝ → E) (a b : ℝ) : ⨍ (x : ℝ) in a..b, f x = ⨍ (x : ℝ) in b..a, f x - interval_average_eq_div 📋 Mathlib.MeasureTheory.Integral.IntervalAverage
(f : ℝ → ℝ) (a b : ℝ) : ⨍ (x : ℝ) in a..b, f x = (∫ (x : ℝ) in a..b, f x) / (b - a) - exists_eq_interval_average 📋 Mathlib.MeasureTheory.Integral.IntervalAverage
{f : ℝ → ℝ} {a b : ℝ} (hab : a ≠ b) (hf : ContinuousOn f (Set.uIcc a b)) : ∃ c ∈ Set.uIoo a b, f c = ⨍ (x : ℝ) in a..b, f x - intervalAverage_congr_codiscreteWithin 📋 Mathlib.MeasureTheory.Integral.IntervalAverage
{a b : ℝ} {f₁ f₂ : ℝ → ℝ} (hf : f₁ =ᶠ[Filter.codiscreteWithin (Set.uIoc a b)] f₂) : ⨍ (x : ℝ) in a..b, f₁ x = ⨍ (x : ℝ) in a..b, f₂ x - exists_eq_interval_average_of_measure 📋 Mathlib.MeasureTheory.Integral.IntervalAverage
{f : ℝ → ℝ} {a b : ℝ} {μ : MeasureTheory.Measure ℝ} (hf : ContinuousOn f (Set.uIcc a b)) (hμfin : μ (Set.uIoc a b) ≠ ⊤) (hμ0 : μ (Set.uIoc a b) ≠ 0) : ∃ c ∈ Set.uIoc a b, f c = ⨍ (x : ℝ) in Set.uIoc a b, f x ∂μ - exists_eq_interval_average_of_noAtoms 📋 Mathlib.MeasureTheory.Integral.IntervalAverage
{f : ℝ → ℝ} {a b : ℝ} {μ : MeasureTheory.Measure ℝ} [MeasureTheory.NullSingletonClass μ] (hf : ContinuousOn f (Set.uIcc a b)) (hμfin : μ (Set.uIoc a b) ≠ ⊤) (hμ0 : μ (Set.uIoc a b) ≠ 0) : ∃ c ∈ Set.uIoo a b, f c = ⨍ (x : ℝ) in Set.uIoc a b, f x ∂μ - exists_eq_interval_average_of_nullSingletonClass 📋 Mathlib.MeasureTheory.Integral.IntervalAverage
{f : ℝ → ℝ} {a b : ℝ} {μ : MeasureTheory.Measure ℝ} [MeasureTheory.NullSingletonClass μ] (hf : ContinuousOn f (Set.uIcc a b)) (hμfin : μ (Set.uIoc a b) ≠ ⊤) (hμ0 : μ (Set.uIoc a b) ≠ 0) : ∃ c ∈ Set.uIoo a b, f c = ⨍ (x : ℝ) in Set.uIoc a b, f x ∂μ - interval_average_eq 📋 Mathlib.MeasureTheory.Integral.IntervalAverage
{E : Type u_1} [NormedAddCommGroup E] [NormedSpace ℝ E] (f : ℝ → E) (a b : ℝ) : ⨍ (x : ℝ) in a..b, f x = (b - a)⁻¹ • ∫ (x : ℝ) in a..b, f x - Real.circleAverage_eq_intervalAverage 📋 Mathlib.MeasureTheory.Integral.CircleAverage
{E : Type u_1} [NormedAddCommGroup E] [NormedSpace ℝ E] {f : ℂ → E} {c : ℂ} {R : ℝ} : Real.circleAverage f c R = ⨍ (θ : ℝ) in 0..2 * Real.pi, f (circleMap c R θ) - ae_eq_const_or_norm_average_lt_of_norm_le_const 📋 Mathlib.Analysis.Convex.Integral
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {μ : MeasureTheory.Measure α} {f : α → E} {C : ℝ} [StrictConvexSpace ℝ E] (h_le : ∀ᵐ (x : α) ∂μ, ‖f x‖ ≤ C) : f =ᵐ[μ] Function.const α (⨍ (x : α), f x ∂μ) ∨ ‖⨍ (x : α), f x ∂μ‖ < C - ae_eq_const_or_norm_integral_lt_of_norm_le_const 📋 Mathlib.Analysis.Convex.Integral
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {μ : MeasureTheory.Measure α} {f : α → E} {C : ℝ} [StrictConvexSpace ℝ E] [MeasureTheory.IsFiniteMeasure μ] (h_le : ∀ᵐ (x : α) ∂μ, ‖f x‖ ≤ C) : f =ᵐ[μ] Function.const α (⨍ (x : α), f x ∂μ) ∨ ‖∫ (x : α), f x ∂μ‖ < μ.real Set.univ * C - ae_eq_const_or_norm_setIntegral_lt_of_norm_le_const 📋 Mathlib.Analysis.Convex.Integral
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {μ : MeasureTheory.Measure α} {t : Set α} {f : α → E} {C : ℝ} [StrictConvexSpace ℝ E] (ht : μ t ≠ ⊤) (h_le : ∀ᵐ (x : α) ∂μ.restrict t, ‖f x‖ ≤ C) : f =ᵐ[μ.restrict t] Function.const α (⨍ (x : α) in t, f x ∂μ) ∨ ‖∫ (x : α) in t, f x ∂μ‖ < μ.real t * C - ae_eq_const_or_exists_average_ne_compl 📋 Mathlib.Analysis.Convex.Integral
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {μ : MeasureTheory.Measure α} {f : α → E} [MeasureTheory.IsFiniteMeasure μ] (hfi : MeasureTheory.Integrable f μ) : f =ᵐ[μ] Function.const α (⨍ (x : α), f x ∂μ) ∨ ∃ t, MeasurableSet t ∧ μ t ≠ 0 ∧ μ tᶜ ≠ 0 ∧ ⨍ (x : α) in t, f x ∂μ ≠ ⨍ (x : α) in tᶜ, f x ∂μ - Convex.average_mem 📋 Mathlib.Analysis.Convex.Integral
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {μ : MeasureTheory.Measure α} {s : Set E} {f : α → E} [MeasureTheory.IsFiniteMeasure μ] [NeZero μ] (hs : Convex ℝ s) (hsc : IsClosed s) (hfs : ∀ᵐ (x : α) ∂μ, f x ∈ s) (hfi : MeasureTheory.Integrable f μ) : ⨍ (x : α), f x ∂μ ∈ s - Convex.set_average_mem_closure 📋 Mathlib.Analysis.Convex.Integral
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {μ : MeasureTheory.Measure α} {s : Set E} {t : Set α} {f : α → E} (hs : Convex ℝ s) (h0 : μ t ≠ 0) (ht : μ t ≠ ⊤) (hfs : ∀ᵐ (x : α) ∂μ.restrict t, f x ∈ s) (hfi : MeasureTheory.IntegrableOn f t μ) : ⨍ (x : α) in t, f x ∂μ ∈ closure s - Convex.set_average_mem 📋 Mathlib.Analysis.Convex.Integral
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {μ : MeasureTheory.Measure α} {s : Set E} {t : Set α} {f : α → E} (hs : Convex ℝ s) (hsc : IsClosed s) (h0 : μ t ≠ 0) (ht : μ t ≠ ⊤) (hfs : ∀ᵐ (x : α) ∂μ.restrict t, f x ∈ s) (hfi : MeasureTheory.IntegrableOn f t μ) : ⨍ (x : α) in t, f x ∂μ ∈ s - StrictConvex.ae_eq_const_or_average_mem_interior 📋 Mathlib.Analysis.Convex.Integral
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {μ : MeasureTheory.Measure α} {s : Set E} {f : α → E} [MeasureTheory.IsFiniteMeasure μ] (hs : StrictConvex ℝ s) (hsc : IsClosed s) (hfs : ∀ᵐ (x : α) ∂μ, f x ∈ s) (hfi : MeasureTheory.Integrable f μ) : f =ᵐ[μ] Function.const α (⨍ (x : α), f x ∂μ) ∨ ⨍ (x : α), f x ∂μ ∈ interior s - Convex.average_mem_interior_of_set 📋 Mathlib.Analysis.Convex.Integral
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {μ : MeasureTheory.Measure α} {s : Set E} {t : Set α} {f : α → E} [MeasureTheory.IsFiniteMeasure μ] (hs : Convex ℝ s) (h0 : μ t ≠ 0) (hfs : ∀ᵐ (x : α) ∂μ, f x ∈ s) (hfi : MeasureTheory.Integrable f μ) (ht : ⨍ (x : α) in t, f x ∂μ ∈ interior s) : ⨍ (x : α), f x ∂μ ∈ interior s - ConcaveOn.le_map_average 📋 Mathlib.Analysis.Convex.Integral
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {μ : MeasureTheory.Measure α} {s : Set E} {f : α → E} {g : E → ℝ} [MeasureTheory.IsFiniteMeasure μ] [NeZero μ] (hg : ConcaveOn ℝ s g) (hgc : ContinuousOn g s) (hsc : IsClosed s) (hfs : ∀ᵐ (x : α) ∂μ, f x ∈ s) (hfi : MeasureTheory.Integrable f μ) (hgi : MeasureTheory.Integrable (g ∘ f) μ) : ⨍ (x : α), g (f x) ∂μ ≤ g (⨍ (x : α), f x ∂μ) - ConvexOn.map_average_le 📋 Mathlib.Analysis.Convex.Integral
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {μ : MeasureTheory.Measure α} {s : Set E} {f : α → E} {g : E → ℝ} [MeasureTheory.IsFiniteMeasure μ] [NeZero μ] (hg : ConvexOn ℝ s g) (hgc : ContinuousOn g s) (hsc : IsClosed s) (hfs : ∀ᵐ (x : α) ∂μ, f x ∈ s) (hfi : MeasureTheory.Integrable f μ) (hgi : MeasureTheory.Integrable (g ∘ f) μ) : g (⨍ (x : α), f x ∂μ) ≤ ⨍ (x : α), g (f x) ∂μ - StrictConcaveOn.ae_eq_const_or_lt_map_average 📋 Mathlib.Analysis.Convex.Integral
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {μ : MeasureTheory.Measure α} {s : Set E} {f : α → E} {g : E → ℝ} [MeasureTheory.IsFiniteMeasure μ] (hg : StrictConcaveOn ℝ s g) (hgc : ContinuousOn g s) (hsc : IsClosed s) (hfs : ∀ᵐ (x : α) ∂μ, f x ∈ s) (hfi : MeasureTheory.Integrable f μ) (hgi : MeasureTheory.Integrable (g ∘ f) μ) : f =ᵐ[μ] Function.const α (⨍ (x : α), f x ∂μ) ∨ ⨍ (x : α), g (f x) ∂μ < g (⨍ (x : α), f x ∂μ) - StrictConvexOn.ae_eq_const_or_map_average_lt 📋 Mathlib.Analysis.Convex.Integral
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {μ : MeasureTheory.Measure α} {s : Set E} {f : α → E} {g : E → ℝ} [MeasureTheory.IsFiniteMeasure μ] (hg : StrictConvexOn ℝ s g) (hgc : ContinuousOn g s) (hsc : IsClosed s) (hfs : ∀ᵐ (x : α) ∂μ, f x ∈ s) (hfi : MeasureTheory.Integrable f μ) (hgi : MeasureTheory.Integrable (g ∘ f) μ) : f =ᵐ[μ] Function.const α (⨍ (x : α), f x ∂μ) ∨ g (⨍ (x : α), f x ∂μ) < ⨍ (x : α), g (f x) ∂μ - ConcaveOn.average_mem_hypograph 📋 Mathlib.Analysis.Convex.Integral
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {μ : MeasureTheory.Measure α} {s : Set E} {f : α → E} {g : E → ℝ} [MeasureTheory.IsFiniteMeasure μ] [NeZero μ] (hg : ConcaveOn ℝ s g) (hgc : ContinuousOn g s) (hsc : IsClosed s) (hfs : ∀ᵐ (x : α) ∂μ, f x ∈ s) (hfi : MeasureTheory.Integrable f μ) (hgi : MeasureTheory.Integrable (g ∘ f) μ) : (⨍ (x : α), f x ∂μ, ⨍ (x : α), g (f x) ∂μ) ∈ {p | p.1 ∈ s ∧ p.2 ≤ g p.1} - ConvexOn.average_mem_epigraph 📋 Mathlib.Analysis.Convex.Integral
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {μ : MeasureTheory.Measure α} {s : Set E} {f : α → E} {g : E → ℝ} [MeasureTheory.IsFiniteMeasure μ] [NeZero μ] (hg : ConvexOn ℝ s g) (hgc : ContinuousOn g s) (hsc : IsClosed s) (hfs : ∀ᵐ (x : α) ∂μ, f x ∈ s) (hfi : MeasureTheory.Integrable f μ) (hgi : MeasureTheory.Integrable (g ∘ f) μ) : (⨍ (x : α), f x ∂μ, ⨍ (x : α), g (f x) ∂μ) ∈ {p | p.1 ∈ s ∧ g p.1 ≤ p.2} - ConcaveOn.le_map_set_average 📋 Mathlib.Analysis.Convex.Integral
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {μ : MeasureTheory.Measure α} {s : Set E} {t : Set α} {f : α → E} {g : E → ℝ} (hg : ConcaveOn ℝ s g) (hgc : ContinuousOn g s) (hsc : IsClosed s) (h0 : μ t ≠ 0) (ht : μ t ≠ ⊤) (hfs : ∀ᵐ (x : α) ∂μ.restrict t, f x ∈ s) (hfi : MeasureTheory.IntegrableOn f t μ) (hgi : MeasureTheory.IntegrableOn (g ∘ f) t μ) : ⨍ (x : α) in t, g (f x) ∂μ ≤ g (⨍ (x : α) in t, f x ∂μ) - ConvexOn.map_set_average_le 📋 Mathlib.Analysis.Convex.Integral
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {μ : MeasureTheory.Measure α} {s : Set E} {t : Set α} {f : α → E} {g : E → ℝ} (hg : ConvexOn ℝ s g) (hgc : ContinuousOn g s) (hsc : IsClosed s) (h0 : μ t ≠ 0) (ht : μ t ≠ ⊤) (hfs : ∀ᵐ (x : α) ∂μ.restrict t, f x ∈ s) (hfi : MeasureTheory.IntegrableOn f t μ) (hgi : MeasureTheory.IntegrableOn (g ∘ f) t μ) : g (⨍ (x : α) in t, f x ∂μ) ≤ ⨍ (x : α) in t, g (f x) ∂μ - ConcaveOn.set_average_mem_hypograph 📋 Mathlib.Analysis.Convex.Integral
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {μ : MeasureTheory.Measure α} {s : Set E} {t : Set α} {f : α → E} {g : E → ℝ} (hg : ConcaveOn ℝ s g) (hgc : ContinuousOn g s) (hsc : IsClosed s) (h0 : μ t ≠ 0) (ht : μ t ≠ ⊤) (hfs : ∀ᵐ (x : α) ∂μ.restrict t, f x ∈ s) (hfi : MeasureTheory.IntegrableOn f t μ) (hgi : MeasureTheory.IntegrableOn (g ∘ f) t μ) : (⨍ (x : α) in t, f x ∂μ, ⨍ (x : α) in t, g (f x) ∂μ) ∈ {p | p.1 ∈ s ∧ p.2 ≤ g p.1} - ConvexOn.set_average_mem_epigraph 📋 Mathlib.Analysis.Convex.Integral
{α : Type u_1} {E : Type u_2} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {μ : MeasureTheory.Measure α} {s : Set E} {t : Set α} {f : α → E} {g : E → ℝ} (hg : ConvexOn ℝ s g) (hgc : ContinuousOn g s) (hsc : IsClosed s) (h0 : μ t ≠ 0) (ht : μ t ≠ ⊤) (hfs : ∀ᵐ (x : α) ∂μ.restrict t, f x ∈ s) (hfi : MeasureTheory.IntegrableOn f t μ) (hgi : MeasureTheory.IntegrableOn (g ∘ f) t μ) : (⨍ (x : α) in t, f x ∂μ, ⨍ (x : α) in t, g (f x) ∂μ) ∈ {p | p.1 ∈ s ∧ g p.1 ≤ p.2} - MeasureTheory.FiniteMeasure.average_eq_integral_normalize 📋 Mathlib.MeasureTheory.Measure.ProbabilityMeasure
{Ω : Type u_1} [Nonempty Ω] {m0 : MeasurableSpace Ω} (μ : MeasureTheory.FiniteMeasure Ω) {E : Type u_2} [NormedAddCommGroup E] [NormedSpace ℝ E] (nonzero : μ ≠ 0) (f : Ω → E) : MeasureTheory.average (↑μ) f = ∫ (ω : Ω), f ω ∂↑μ.normalize - ProbabilityTheory.condVar_bot' 📋 Mathlib.Probability.CondVar
{Ω : Type u_1} {m₀ : MeasurableSpace Ω} {μ : MeasureTheory.Measure Ω} [NeZero μ] (X : Ω → ℝ) : ProbabilityTheory.condVar ⊥ X μ = fun x => ⨍ (ω : Ω), (X ω - ⨍ (ω' : Ω), X ω' ∂μ) ^ 2 ∂μ - ProbabilityTheory.condVar_bot_ae_eq 📋 Mathlib.Probability.CondVar
{Ω : Type u_1} {m₀ : MeasurableSpace Ω} {μ : MeasureTheory.Measure Ω} (X : Ω → ℝ) : ProbabilityTheory.condVar ⊥ X μ =ᵐ[μ] fun x => ⨍ (ω : Ω), (X ω - ⨍ (ω' : Ω), X ω' ∂μ) ^ 2 ∂μ
About
Loogle searches Lean and Mathlib definitions and theorems.
You can use Loogle from within the Lean4 VSCode language extension
using the Loogle command from the command palette. You can also try the
#loogle command from LeanSearchClient,
the CLI version, the Loogle
VS Code extension, the lean.nvim
integration or the Zulip bot.
Usage
Loogle finds definitions and lemmas in various ways:
By constant:
🔍Real.sin
finds all lemmas whose statement somehow mentions the sine function.By lemma name substring:
🔍"differ"
finds all lemmas that have"differ"somewhere in their lemma name.By subexpression:
🔍_ * (_ ^ _)
finds all lemmas whose statements somewhere include a product where the second argument is raised to some power.The pattern can also be non-linear, as in
🔍Real.sqrt ?a * Real.sqrt ?aIf the pattern has parameters, they are matched in any order. Both of these will find
List.map:
🔍(?a -> ?b) -> List ?a -> List ?b
🔍List ?a -> (?a -> ?b) -> List ?bBy main conclusion:
🔍|- tsum _ = _ * tsum _
finds all lemmas where the conclusion (the subexpression to the right of all→and∀) has the given shape.As before, if the pattern has parameters, they are matched against the hypotheses of the lemma in any order; for example,
🔍|- _ < _ → tsum _ < tsum _
will findtsum_lt_tsumeven though the hypothesisf i < g iis not the last.You can filter for definitions vs theorems: Using
⊢ (_ : Type _)finds all definitions which provide data while⊢ (_ : Prop)finds all theorems (and definitions of proofs).
If you pass more than one such search filter, separated by commas
Loogle will return lemmas which match all of them. The
search
🔍 Real.sin, "two", tsum, _ * _, _ ^ _, |- _ < _ → _
would find all lemmas which mention the constants Real.sin
and tsum, have "two" as a substring of the
lemma name, include a product and a power somewhere in the type,
and have a hypothesis of the form _ < _ (if
there were any such lemmas). Metavariables (?a) are
assigned independently in each filter.
The #lucky button will directly send you to the
documentation of the first hit.
Source code
You can find the source code for this service at https://github.com/nomeata/loogle. The https://loogle.lean-lang.org/ service is provided by the Lean FRO. Please review the Lean FRO Terms of Use and Privacy Policy.
This is Loogle revision 9f11169 serving mathlib revision ce5dd8c