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Result
Found 111 declarations mentioning StieltjesFunction.toFun.
- StieltjesFunction.toFun 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (self : StieltjesFunction R) : R → ℝ - StieltjesFunction.id_apply 📋 Mathlib.MeasureTheory.Measure.Stieltjes
(a : ℝ) : ↑StieltjesFunction.id a = id a - StieltjesFunction.const_apply 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (c : ℝ) (x : R) : ↑(StieltjesFunction.const R c) x = c - StieltjesFunction.id_leftLim 📋 Mathlib.MeasureTheory.Measure.Stieltjes
(x : ℝ) : Function.leftLim (↑StieltjesFunction.id) x = x - StieltjesFunction.mono 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (f : StieltjesFunction R) : Monotone ↑f - StieltjesFunction.mono' 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (self : StieltjesFunction R) : Monotone ↑self - StieltjesFunction.ext 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] {f g : StieltjesFunction R} (h : ∀ (x : R), ↑f x = ↑g x) : f = g - StieltjesFunction.ext_iff 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] {f g : StieltjesFunction R} : f = g ↔ ∀ (x : R), ↑f x = ↑g x - StieltjesFunction.right_continuous 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (f : StieltjesFunction R) (x : R) : ContinuousWithinAt (↑f) (Set.Ici x) x - StieltjesFunction.right_continuous' 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (self : StieltjesFunction R) (x : R) : ContinuousWithinAt (↑self) (Set.Ici x) x - StieltjesFunction.zero_apply 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (x : R) : ↑0 x = 0 - StieltjesFunction.rightLim_eq 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] [OrderTopology R] (f : StieltjesFunction R) (x : R) : Function.rightLim (↑f) x = ↑f x - StieltjesFunction.countable_leftLim_ne 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] [OrderTopology R] (f : StieltjesFunction R) : {x | Function.leftLim (↑f) x ≠ ↑f x}.Countable - StieltjesFunction.length_Ioc 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (f : StieltjesFunction R) (a b : R) : f.length (Set.Ioc a b) = ENNReal.ofReal (↑f b - ↑f a) - Monotone.stieltjesFunction_eq 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] [OrderTopology R] {f : R → ℝ} (hf : Monotone f) (x : R) : ↑hf.stieltjesFunction x = Function.rightLim f x - StieltjesFunction.iInf_rat_gt_eq 📋 Mathlib.MeasureTheory.Measure.Stieltjes
(f : StieltjesFunction ℝ) (x : ℝ) : ⨅ r, ↑f ↑↑r = ↑f x - StieltjesFunction.add_apply 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (f g : StieltjesFunction R) (x : R) : ↑(f + g) x = ↑f x + ↑g x - StieltjesFunction.isFiniteMeasure_of_forall_abs_le 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (f : StieltjesFunction R) [OrderTopology R] [CompactIccSpace R] [MeasurableSpace R] [BorelSpace R] [SecondCountableTopology R] [DenselyOrdered R] {C : ℝ} (h : ∀ (x : R), |↑f x| ≤ C) : MeasureTheory.IsFiniteMeasure f.measure - StieltjesFunction.outer_Ioc 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (f : StieltjesFunction R) [OrderTopology R] [CompactIccSpace R] [DenselyOrdered R] (a b : R) : f.outer (Set.Ioc a b) = ENNReal.ofReal (↑f b - ↑f a) - StieltjesFunction.eq_of_measure_of_eq 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (f : StieltjesFunction R) [OrderTopology R] [CompactIccSpace R] [MeasurableSpace R] [BorelSpace R] [SecondCountableTopology R] [DenselyOrdered R] (g : StieltjesFunction R) {y : R} (hfg : f.measure = g.measure) (hy : ↑f y = ↑g y) : f = g - StieltjesFunction.measure_univ_of_tendsto_atBot_atBot 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (f : StieltjesFunction R) [OrderTopology R] [CompactIccSpace R] [MeasurableSpace R] [BorelSpace R] [SecondCountableTopology R] [DenselyOrdered R] [Nonempty R] (hf : Filter.Tendsto (↑f) Filter.atBot Filter.atBot) : f.measure Set.univ = ⊤ - StieltjesFunction.measure_univ_of_tendsto_atTop_atTop 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (f : StieltjesFunction R) [OrderTopology R] [CompactIccSpace R] [MeasurableSpace R] [BorelSpace R] [SecondCountableTopology R] [DenselyOrdered R] [Nonempty R] (hf : Filter.Tendsto (↑f) Filter.atTop Filter.atTop) : f.measure Set.univ = ⊤ - StieltjesFunction.measure_Ioc 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (f : StieltjesFunction R) [OrderTopology R] [CompactIccSpace R] [MeasurableSpace R] [BorelSpace R] [SecondCountableTopology R] [DenselyOrdered R] (a b : R) : f.measure (Set.Ioc a b) = ENNReal.ofReal (↑f b - ↑f a) - StieltjesFunction.measure_singleton 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (f : StieltjesFunction R) [OrderTopology R] [CompactIccSpace R] [MeasurableSpace R] [BorelSpace R] [SecondCountableTopology R] [DenselyOrdered R] (a : R) : f.measure {a} = ENNReal.ofReal (↑f a - Function.leftLim (↑f) a) - StieltjesFunction.iInf_Ioi_eq 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] [OrderTopology R] [DenselyOrdered R] [NoMaxOrder R] (f : StieltjesFunction R) (x : R) : ⨅ r, ↑f ↑r = ↑f x - StieltjesFunction.length_subadditive_Icc_Ioo 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (f : StieltjesFunction R) [OrderTopology R] [CompactIccSpace R] {a b : R} {c d : ℕ → R} (ss : Set.Icc a b ⊆ ⋃ i, Iotop (c i) (d i)) : ENNReal.ofReal (↑f b - ↑f a) ≤ ∑' (i : ℕ), ENNReal.ofReal (↑f (d i) - ↑f (c i)) - StieltjesFunction.measure_Ici_of_tendsto_atTop_atTop 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (f : StieltjesFunction R) [OrderTopology R] [CompactIccSpace R] [MeasurableSpace R] [BorelSpace R] [SecondCountableTopology R] [DenselyOrdered R] (hf : Filter.Tendsto (↑f) Filter.atTop Filter.atTop) (x : R) : f.measure (Set.Ici x) = ⊤ - StieltjesFunction.measure_Iic_of_tendsto_atBot_atBot 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (f : StieltjesFunction R) [OrderTopology R] [CompactIccSpace R] [MeasurableSpace R] [BorelSpace R] [SecondCountableTopology R] [DenselyOrdered R] (hf : Filter.Tendsto (↑f) Filter.atBot Filter.atBot) (x : R) : f.measure (Set.Iic x) = ⊤ - StieltjesFunction.measure_Iio_of_tendsto_atBot_atBot 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (f : StieltjesFunction R) [OrderTopology R] [CompactIccSpace R] [MeasurableSpace R] [BorelSpace R] [SecondCountableTopology R] [DenselyOrdered R] (hf : Filter.Tendsto (↑f) Filter.atBot Filter.atBot) (x : R) : f.measure (Set.Iio x) = ⊤ - StieltjesFunction.measure_Ioi_of_tendsto_atTop_atTop 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (f : StieltjesFunction R) [OrderTopology R] [CompactIccSpace R] [MeasurableSpace R] [BorelSpace R] [SecondCountableTopology R] [DenselyOrdered R] (hf : Filter.Tendsto (↑f) Filter.atTop Filter.atTop) (x : R) : f.measure (Set.Ioi x) = ⊤ - StieltjesFunction.measure_Icc 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (f : StieltjesFunction R) [OrderTopology R] [CompactIccSpace R] [MeasurableSpace R] [BorelSpace R] [SecondCountableTopology R] [DenselyOrdered R] (a b : R) : f.measure (Set.Icc a b) = ENNReal.ofReal (↑f b - Function.leftLim (↑f) a) - StieltjesFunction.measure_Ioo 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (f : StieltjesFunction R) [OrderTopology R] [CompactIccSpace R] [MeasurableSpace R] [BorelSpace R] [SecondCountableTopology R] [DenselyOrdered R] {a b : R} : f.measure (Set.Ioo a b) = ENNReal.ofReal (Function.leftLim (↑f) b - ↑f a) - StieltjesFunction.isFiniteMeasure 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (f : StieltjesFunction R) [OrderTopology R] [CompactIccSpace R] [MeasurableSpace R] [BorelSpace R] [SecondCountableTopology R] [DenselyOrdered R] {l u : ℝ} (hfl : Filter.Tendsto (↑f) Filter.atBot (nhds l)) (hfu : Filter.Tendsto (↑f) Filter.atTop (nhds u)) : MeasureTheory.IsFiniteMeasure f.measure - StieltjesFunction.measure_Ico 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (f : StieltjesFunction R) [OrderTopology R] [CompactIccSpace R] [MeasurableSpace R] [BorelSpace R] [SecondCountableTopology R] [DenselyOrdered R] (a b : R) : f.measure (Set.Ico a b) = ENNReal.ofReal (Function.leftLim (↑f) b - Function.leftLim (↑f) a) - StieltjesFunction.isProbabilityMeasure 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (f : StieltjesFunction R) [OrderTopology R] [CompactIccSpace R] [MeasurableSpace R] [BorelSpace R] [SecondCountableTopology R] [DenselyOrdered R] [Nonempty R] (hf_bot : Filter.Tendsto (↑f) Filter.atBot (nhds 0)) (hf_top : Filter.Tendsto (↑f) Filter.atTop (nhds 1)) : MeasureTheory.IsProbabilityMeasure f.measure - StieltjesFunction.measure_Iic 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (f : StieltjesFunction R) [OrderTopology R] [CompactIccSpace R] [MeasurableSpace R] [BorelSpace R] [SecondCountableTopology R] [DenselyOrdered R] {l : ℝ} (hf : Filter.Tendsto (↑f) Filter.atBot (nhds l)) (x : R) : f.measure (Set.Iic x) = ENNReal.ofReal (↑f x - l) - StieltjesFunction.measure_Ioi 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (f : StieltjesFunction R) [OrderTopology R] [CompactIccSpace R] [MeasurableSpace R] [BorelSpace R] [SecondCountableTopology R] [DenselyOrdered R] {l : ℝ} (hf : Filter.Tendsto (↑f) Filter.atTop (nhds l)) (x : R) : f.measure (Set.Ioi x) = ENNReal.ofReal (l - ↑f x) - StieltjesFunction.length_eq 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (f : StieltjesFunction R) [Nonempty R] (s : Set R) : f.length s = ⨅ a, ⨅ b, ⨅ (_ : s \ botSet ⊆ Set.Ioc a b), ENNReal.ofReal (↑f b - ↑f a) - StieltjesFunction.measure_Ici 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (f : StieltjesFunction R) [OrderTopology R] [CompactIccSpace R] [MeasurableSpace R] [BorelSpace R] [SecondCountableTopology R] [DenselyOrdered R] {l : ℝ} (hf : Filter.Tendsto (↑f) Filter.atTop (nhds l)) (x : R) : f.measure (Set.Ici x) = ENNReal.ofReal (l - Function.leftLim (↑f) x) - StieltjesFunction.measure_Iio 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (f : StieltjesFunction R) [OrderTopology R] [CompactIccSpace R] [MeasurableSpace R] [BorelSpace R] [SecondCountableTopology R] [DenselyOrdered R] {l : ℝ} (hf : Filter.Tendsto (↑f) Filter.atBot (nhds l)) (x : R) : f.measure (Set.Iio x) = ENNReal.ofReal (Function.leftLim (↑f) x - l) - StieltjesFunction.eq_of_measure_of_tendsto_atBot 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (f : StieltjesFunction R) [OrderTopology R] [CompactIccSpace R] [MeasurableSpace R] [BorelSpace R] [SecondCountableTopology R] [DenselyOrdered R] (g : StieltjesFunction R) {l : ℝ} (hfg : f.measure = g.measure) (hfl : Filter.Tendsto (↑f) Filter.atBot (nhds l)) (hgl : Filter.Tendsto (↑g) Filter.atBot (nhds l)) : f = g - StieltjesFunction.measure_univ 📋 Mathlib.MeasureTheory.Measure.Stieltjes
{R : Type u_1} [LinearOrder R] [TopologicalSpace R] (f : StieltjesFunction R) [OrderTopology R] [CompactIccSpace R] [MeasurableSpace R] [BorelSpace R] [SecondCountableTopology R] [DenselyOrdered R] [Nonempty R] {l u : ℝ} (hfl : Filter.Tendsto (↑f) Filter.atBot (nhds l)) (hfu : Filter.Tendsto (↑f) Filter.atTop (nhds u)) : f.measure Set.univ = ENNReal.ofReal (u - l) - StieltjesFunction.ae_hasDerivAt 📋 Mathlib.Analysis.Calculus.Monotone
(f : StieltjesFunction ℝ) : ∀ᵐ (x : ℝ), HasDerivAt (↑f) (f.measure.rnDeriv MeasureTheory.volume x).toReal x - BoundedVariationOn.stieltjesFunctionRightLim_apply 📋 Mathlib.MeasureTheory.VectorMeasure.BoundedVariation
{α : Type u_1} [LinearOrder α] [TopologicalSpace α] [OrderTopology α] {E : Type u_2} [NormedAddCommGroup E] [CompleteSpace E] {f : α → E} (hf : BoundedVariationOn f Set.univ) (x₀ x : α) : ↑(hf.stieltjesFunctionRightLim x₀) x = variationOnFromTo (Function.rightLim f) Set.univ x₀ x - ProbabilityTheory.IsMeasurableRatCDF.measurable_stieltjesFunction 📋 Mathlib.Probability.Kernel.Disintegration.MeasurableStieltjes
{α : Type u_1} {f : α → ℚ → ℝ} [MeasurableSpace α] (hf : ProbabilityTheory.IsMeasurableRatCDF f) (x : ℝ) : Measurable fun a => ↑(hf.stieltjesFunction a) x - ProbabilityTheory.IsMeasurableRatCDF.stieltjesFunction_eq 📋 Mathlib.Probability.Kernel.Disintegration.MeasurableStieltjes
{α : Type u_1} {f : α → ℚ → ℝ} [MeasurableSpace α] (hf : ProbabilityTheory.IsMeasurableRatCDF f) (a : α) (r : ℚ) : ↑(hf.stieltjesFunction a) ↑r = f a r - ProbabilityTheory.IsMeasurableRatCDF.stieltjesFunction_le_one 📋 Mathlib.Probability.Kernel.Disintegration.MeasurableStieltjes
{α : Type u_1} {f : α → ℚ → ℝ} [MeasurableSpace α] (hf : ProbabilityTheory.IsMeasurableRatCDF f) (a : α) (x : ℝ) : ↑(hf.stieltjesFunction a) x ≤ 1 - ProbabilityTheory.IsMeasurableRatCDF.stieltjesFunction_nonneg 📋 Mathlib.Probability.Kernel.Disintegration.MeasurableStieltjes
{α : Type u_1} {f : α → ℚ → ℝ} [MeasurableSpace α] (hf : ProbabilityTheory.IsMeasurableRatCDF f) (a : α) (r : ℝ) : 0 ≤ ↑(hf.stieltjesFunction a) r - ProbabilityTheory.IsMeasurableRatCDF.stronglyMeasurable_stieltjesFunction 📋 Mathlib.Probability.Kernel.Disintegration.MeasurableStieltjes
{α : Type u_1} {f : α → ℚ → ℝ} [MeasurableSpace α] (hf : ProbabilityTheory.IsMeasurableRatCDF f) (x : ℝ) : MeasureTheory.StronglyMeasurable fun a => ↑(hf.stieltjesFunction a) x - ProbabilityTheory.measurable_stieltjesOfMeasurableRat 📋 Mathlib.Probability.Kernel.Disintegration.MeasurableStieltjes
{α : Type u_1} {f : α → ℚ → ℝ} [MeasurableSpace α] (hf : Measurable f) (x : ℝ) : Measurable fun a => ↑(ProbabilityTheory.stieltjesOfMeasurableRat f hf a) x - ProbabilityTheory.stieltjesOfMeasurableRat_le_one 📋 Mathlib.Probability.Kernel.Disintegration.MeasurableStieltjes
{α : Type u_1} {f : α → ℚ → ℝ} [MeasurableSpace α] (hf : Measurable f) (a : α) (x : ℝ) : ↑(ProbabilityTheory.stieltjesOfMeasurableRat f hf a) x ≤ 1 - ProbabilityTheory.stieltjesOfMeasurableRat_nonneg 📋 Mathlib.Probability.Kernel.Disintegration.MeasurableStieltjes
{α : Type u_1} {f : α → ℚ → ℝ} [MeasurableSpace α] (hf : Measurable f) (a : α) (r : ℝ) : 0 ≤ ↑(ProbabilityTheory.stieltjesOfMeasurableRat f hf a) r - ProbabilityTheory.stronglyMeasurable_stieltjesOfMeasurableRat 📋 Mathlib.Probability.Kernel.Disintegration.MeasurableStieltjes
{α : Type u_1} {f : α → ℚ → ℝ} [MeasurableSpace α] (hf : Measurable f) (x : ℝ) : MeasureTheory.StronglyMeasurable fun a => ↑(ProbabilityTheory.stieltjesOfMeasurableRat f hf a) x - ProbabilityTheory.IsMeasurableRatCDF.tendsto_stieltjesFunction_atBot 📋 Mathlib.Probability.Kernel.Disintegration.MeasurableStieltjes
{α : Type u_1} {f : α → ℚ → ℝ} [MeasurableSpace α] (hf : ProbabilityTheory.IsMeasurableRatCDF f) (a : α) : Filter.Tendsto (↑(hf.stieltjesFunction a)) Filter.atBot (nhds 0) - ProbabilityTheory.IsMeasurableRatCDF.tendsto_stieltjesFunction_atTop 📋 Mathlib.Probability.Kernel.Disintegration.MeasurableStieltjes
{α : Type u_1} {f : α → ℚ → ℝ} [MeasurableSpace α] (hf : ProbabilityTheory.IsMeasurableRatCDF f) (a : α) : Filter.Tendsto (↑(hf.stieltjesFunction a)) Filter.atTop (nhds 1) - ProbabilityTheory.stieltjesOfMeasurableRat_eq 📋 Mathlib.Probability.Kernel.Disintegration.MeasurableStieltjes
{α : Type u_1} {f : α → ℚ → ℝ} [MeasurableSpace α] (hf : Measurable f) (a : α) (r : ℚ) : ↑(ProbabilityTheory.stieltjesOfMeasurableRat f hf a) ↑r = ProbabilityTheory.toRatCDF f a r - ProbabilityTheory.tendsto_stieltjesOfMeasurableRat_atBot 📋 Mathlib.Probability.Kernel.Disintegration.MeasurableStieltjes
{α : Type u_1} {f : α → ℚ → ℝ} [MeasurableSpace α] (hf : Measurable f) (a : α) : Filter.Tendsto (↑(ProbabilityTheory.stieltjesOfMeasurableRat f hf a)) Filter.atBot (nhds 0) - ProbabilityTheory.tendsto_stieltjesOfMeasurableRat_atTop 📋 Mathlib.Probability.Kernel.Disintegration.MeasurableStieltjes
{α : Type u_1} {f : α → ℚ → ℝ} [MeasurableSpace α] (hf : Measurable f) (a : α) : Filter.Tendsto (↑(ProbabilityTheory.stieltjesOfMeasurableRat f hf a)) Filter.atTop (nhds 1) - ProbabilityTheory.IsMeasurableRatCDF.measure_stieltjesFunction_Iic 📋 Mathlib.Probability.Kernel.Disintegration.MeasurableStieltjes
{α : Type u_1} {f : α → ℚ → ℝ} [MeasurableSpace α] (hf : ProbabilityTheory.IsMeasurableRatCDF f) (a : α) (x : ℝ) : (hf.stieltjesFunction a).measure (Set.Iic x) = ENNReal.ofReal (↑(hf.stieltjesFunction a) x) - ProbabilityTheory.measure_stieltjesOfMeasurableRat_Iic 📋 Mathlib.Probability.Kernel.Disintegration.MeasurableStieltjes
{α : Type u_1} {f : α → ℚ → ℝ} [MeasurableSpace α] (hf : Measurable f) (a : α) (x : ℝ) : (ProbabilityTheory.stieltjesOfMeasurableRat f hf a).measure (Set.Iic x) = ENNReal.ofReal (↑(ProbabilityTheory.stieltjesOfMeasurableRat f hf a) x) - StieltjesFunction.measurable_measure 📋 Mathlib.Probability.Kernel.Disintegration.MeasurableStieltjes
{α : Type u_1} {x✝ : MeasurableSpace α} {f : α → StieltjesFunction ℝ} (hf : ∀ (q : ℝ), Measurable fun a => ↑(f a) q) (hf_bot : ∀ (a : α), Filter.Tendsto (↑(f a)) Filter.atBot (nhds 0)) (hf_top : ∀ (a : α), Filter.Tendsto (↑(f a)) Filter.atTop (nhds 1)) : Measurable fun a => (f a).measure - ProbabilityTheory.IsCondKernelCDF.le_one 📋 Mathlib.Probability.Kernel.Disintegration.CDFToKernel
{α : Type u_1} {β : Type u_2} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} {κ : ProbabilityTheory.Kernel α (β × ℝ)} {ν : ProbabilityTheory.Kernel α β} {f : α × β → StieltjesFunction ℝ} (hf : ProbabilityTheory.IsCondKernelCDF f κ ν) (p : α × β) (x : ℝ) : ↑(f p) x ≤ 1 - ProbabilityTheory.IsCondKernelCDF.nonneg 📋 Mathlib.Probability.Kernel.Disintegration.CDFToKernel
{α : Type u_1} {β : Type u_2} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} {κ : ProbabilityTheory.Kernel α (β × ℝ)} {ν : ProbabilityTheory.Kernel α β} {f : α × β → StieltjesFunction ℝ} (hf : ProbabilityTheory.IsCondKernelCDF f κ ν) (p : α × β) (x : ℝ) : 0 ≤ ↑(f p) x - ProbabilityTheory.IsCondKernelCDF.measurable 📋 Mathlib.Probability.Kernel.Disintegration.CDFToKernel
{α : Type u_1} {β : Type u_2} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} {f : α × β → StieltjesFunction ℝ} {κ : ProbabilityTheory.Kernel α (β × ℝ)} {ν : ProbabilityTheory.Kernel α β} (self : ProbabilityTheory.IsCondKernelCDF f κ ν) (x : ℝ) : Measurable fun p => ↑(f p) x - ProbabilityTheory.IsCondKernelCDF.tendsto_atBot_zero 📋 Mathlib.Probability.Kernel.Disintegration.CDFToKernel
{α : Type u_1} {β : Type u_2} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} {f : α × β → StieltjesFunction ℝ} {κ : ProbabilityTheory.Kernel α (β × ℝ)} {ν : ProbabilityTheory.Kernel α β} (self : ProbabilityTheory.IsCondKernelCDF f κ ν) (p : α × β) : Filter.Tendsto (↑(f p)) Filter.atBot (nhds 0) - ProbabilityTheory.IsCondKernelCDF.tendsto_atTop_one 📋 Mathlib.Probability.Kernel.Disintegration.CDFToKernel
{α : Type u_1} {β : Type u_2} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} {f : α × β → StieltjesFunction ℝ} {κ : ProbabilityTheory.Kernel α (β × ℝ)} {ν : ProbabilityTheory.Kernel α β} (self : ProbabilityTheory.IsCondKernelCDF f κ ν) (p : α × β) : Filter.Tendsto (↑(f p)) Filter.atTop (nhds 1) - ProbabilityTheory.IsCondKernelCDF.integrable 📋 Mathlib.Probability.Kernel.Disintegration.CDFToKernel
{α : Type u_1} {β : Type u_2} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} {f : α × β → StieltjesFunction ℝ} {κ : ProbabilityTheory.Kernel α (β × ℝ)} {ν : ProbabilityTheory.Kernel α β} (self : ProbabilityTheory.IsCondKernelCDF f κ ν) (a : α) (x : ℝ) : MeasureTheory.Integrable (fun b => ↑(f (a, b)) x) (ν a) - ProbabilityTheory.stieltjesOfMeasurableRat_ae_eq 📋 Mathlib.Probability.Kernel.Disintegration.CDFToKernel
{α : Type u_1} {β : Type u_2} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} {κ : ProbabilityTheory.Kernel α (β × ℝ)} {ν : ProbabilityTheory.Kernel α β} {f : α × β → ℚ → ℝ} (hf : ProbabilityTheory.IsRatCondKernelCDF f κ ν) (a : α) (q : ℚ) : (fun b => ↑(ProbabilityTheory.stieltjesOfMeasurableRat f ⋯ (a, b)) ↑q) =ᵐ[ν a] fun b => f (a, b) q - ProbabilityTheory.IsCondKernelCDF.toKernel_Iic 📋 Mathlib.Probability.Kernel.Disintegration.CDFToKernel
{α : Type u_1} {β : Type u_2} {mα : MeasurableSpace α} {x✝ : MeasurableSpace β} {f : α × β → StieltjesFunction ℝ} {κ : ProbabilityTheory.Kernel α (β × ℝ)} {ν : ProbabilityTheory.Kernel α β} {hf : ProbabilityTheory.IsCondKernelCDF f κ ν} (p : α × β) (x : ℝ) : ((ProbabilityTheory.IsCondKernelCDF.toKernel f hf) p) (Set.Iic x) = ENNReal.ofReal (↑(f p) x) - ProbabilityTheory.integrable_stieltjesOfMeasurableRat 📋 Mathlib.Probability.Kernel.Disintegration.CDFToKernel
{α : Type u_1} {β : Type u_2} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} {κ : ProbabilityTheory.Kernel α (β × ℝ)} {ν : ProbabilityTheory.Kernel α β} {f : α × β → ℚ → ℝ} [ProbabilityTheory.IsFiniteKernel κ] (hf : ProbabilityTheory.IsRatCondKernelCDF f κ ν) (a : α) (x : ℝ) : MeasureTheory.Integrable (fun b => ↑(ProbabilityTheory.stieltjesOfMeasurableRat f ⋯ (a, b)) x) (ν a) - ProbabilityTheory.IsCondKernelCDF.integral 📋 Mathlib.Probability.Kernel.Disintegration.CDFToKernel
{α : Type u_1} {β : Type u_2} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} {κ : ProbabilityTheory.Kernel α (β × ℝ)} {ν : ProbabilityTheory.Kernel α β} {f : α × β → StieltjesFunction ℝ} (hf : ProbabilityTheory.IsCondKernelCDF f κ ν) (a : α) (x : ℝ) : ∫ (b : β), ↑(f (a, b)) x ∂ν a = (κ a).real (Set.univ ×ˢ Set.Iic x) - ProbabilityTheory.IsCondKernelCDF.setIntegral 📋 Mathlib.Probability.Kernel.Disintegration.CDFToKernel
{α : Type u_1} {β : Type u_2} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} {f : α × β → StieltjesFunction ℝ} {κ : ProbabilityTheory.Kernel α (β × ℝ)} {ν : ProbabilityTheory.Kernel α β} (self : ProbabilityTheory.IsCondKernelCDF f κ ν) (a : α) {s : Set β} (_hs : MeasurableSet s) (x : ℝ) : ∫ (b : β) in s, ↑(f (a, b)) x ∂ν a = (κ a).real (s ×ˢ Set.Iic x) - ProbabilityTheory.IsCondKernelCDF.lintegral 📋 Mathlib.Probability.Kernel.Disintegration.CDFToKernel
{α : Type u_1} {β : Type u_2} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} {κ : ProbabilityTheory.Kernel α (β × ℝ)} {ν : ProbabilityTheory.Kernel α β} [ProbabilityTheory.IsFiniteKernel κ] {f : α × β → StieltjesFunction ℝ} (hf : ProbabilityTheory.IsCondKernelCDF f κ ν) (a : α) (x : ℝ) : ∫⁻ (b : β), ENNReal.ofReal (↑(f (a, b)) x) ∂ν a = (κ a) (Set.univ ×ˢ Set.Iic x) - ProbabilityTheory.integral_stieltjesOfMeasurableRat 📋 Mathlib.Probability.Kernel.Disintegration.CDFToKernel
{α : Type u_1} {β : Type u_2} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} {κ : ProbabilityTheory.Kernel α (β × ℝ)} {ν : ProbabilityTheory.Kernel α β} {f : α × β → ℚ → ℝ} [ProbabilityTheory.IsFiniteKernel κ] (hf : ProbabilityTheory.IsRatCondKernelCDF f κ ν) (a : α) (x : ℝ) : ∫ (b : β), ↑(ProbabilityTheory.stieltjesOfMeasurableRat f ⋯ (a, b)) x ∂ν a = (κ a).real (Set.univ ×ˢ Set.Iic x) - ProbabilityTheory.setIntegral_stieltjesOfMeasurableRat_rat 📋 Mathlib.Probability.Kernel.Disintegration.CDFToKernel
{α : Type u_1} {β : Type u_2} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} {κ : ProbabilityTheory.Kernel α (β × ℝ)} {ν : ProbabilityTheory.Kernel α β} {f : α × β → ℚ → ℝ} (hf : ProbabilityTheory.IsRatCondKernelCDF f κ ν) (a : α) (q : ℚ) {s : Set β} (hs : MeasurableSet s) : ∫ (b : β) in s, ↑(ProbabilityTheory.stieltjesOfMeasurableRat f ⋯ (a, b)) ↑q ∂ν a = (κ a).real (s ×ˢ Set.Iic ↑q) - ProbabilityTheory.IsCondKernelCDF.setLIntegral 📋 Mathlib.Probability.Kernel.Disintegration.CDFToKernel
{α : Type u_1} {β : Type u_2} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} {κ : ProbabilityTheory.Kernel α (β × ℝ)} {ν : ProbabilityTheory.Kernel α β} [ProbabilityTheory.IsFiniteKernel κ] {f : α × β → StieltjesFunction ℝ} (hf : ProbabilityTheory.IsCondKernelCDF f κ ν) (a : α) {s : Set β} (hs : MeasurableSet s) (x : ℝ) : ∫⁻ (b : β) in s, ENNReal.ofReal (↑(f (a, b)) x) ∂ν a = (κ a) (s ×ˢ Set.Iic x) - ProbabilityTheory.lintegral_stieltjesOfMeasurableRat 📋 Mathlib.Probability.Kernel.Disintegration.CDFToKernel
{α : Type u_1} {β : Type u_2} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} {κ : ProbabilityTheory.Kernel α (β × ℝ)} {ν : ProbabilityTheory.Kernel α β} {f : α × β → ℚ → ℝ} [ProbabilityTheory.IsFiniteKernel κ] (hf : ProbabilityTheory.IsRatCondKernelCDF f κ ν) (a : α) (x : ℝ) : ∫⁻ (b : β), ENNReal.ofReal (↑(ProbabilityTheory.stieltjesOfMeasurableRat f ⋯ (a, b)) x) ∂ν a = (κ a) (Set.univ ×ˢ Set.Iic x) - ProbabilityTheory.setIntegral_stieltjesOfMeasurableRat 📋 Mathlib.Probability.Kernel.Disintegration.CDFToKernel
{α : Type u_1} {β : Type u_2} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} {κ : ProbabilityTheory.Kernel α (β × ℝ)} {ν : ProbabilityTheory.Kernel α β} {f : α × β → ℚ → ℝ} [ProbabilityTheory.IsFiniteKernel κ] (hf : ProbabilityTheory.IsRatCondKernelCDF f κ ν) (a : α) (x : ℝ) {s : Set β} (hs : MeasurableSet s) : ∫ (b : β) in s, ↑(ProbabilityTheory.stieltjesOfMeasurableRat f ⋯ (a, b)) x ∂ν a = (κ a).real (s ×ˢ Set.Iic x) - ProbabilityTheory.setLIntegral_stieltjesOfMeasurableRat 📋 Mathlib.Probability.Kernel.Disintegration.CDFToKernel
{α : Type u_1} {β : Type u_2} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} {κ : ProbabilityTheory.Kernel α (β × ℝ)} {ν : ProbabilityTheory.Kernel α β} {f : α × β → ℚ → ℝ} [ProbabilityTheory.IsFiniteKernel κ] (hf : ProbabilityTheory.IsRatCondKernelCDF f κ ν) (a : α) (x : ℝ) {s : Set β} (hs : MeasurableSet s) : ∫⁻ (b : β) in s, ENNReal.ofReal (↑(ProbabilityTheory.stieltjesOfMeasurableRat f ⋯ (a, b)) x) ∂ν a = (κ a) (s ×ˢ Set.Iic x) - ProbabilityTheory.setLIntegral_stieltjesOfMeasurableRat_rat 📋 Mathlib.Probability.Kernel.Disintegration.CDFToKernel
{α : Type u_1} {β : Type u_2} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} {κ : ProbabilityTheory.Kernel α (β × ℝ)} {ν : ProbabilityTheory.Kernel α β} {f : α × β → ℚ → ℝ} [ProbabilityTheory.IsFiniteKernel κ] (hf : ProbabilityTheory.IsRatCondKernelCDF f κ ν) (a : α) (q : ℚ) {s : Set β} (hs : MeasurableSet s) : ∫⁻ (b : β) in s, ENNReal.ofReal (↑(ProbabilityTheory.stieltjesOfMeasurableRat f ⋯ (a, b)) ↑q) ∂ν a = (κ a) (s ×ˢ Set.Iic ↑q) - ProbabilityTheory.IsCondKernelCDF.mk 📋 Mathlib.Probability.Kernel.Disintegration.CDFToKernel
{α : Type u_1} {β : Type u_2} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} {f : α × β → StieltjesFunction ℝ} {κ : ProbabilityTheory.Kernel α (β × ℝ)} {ν : ProbabilityTheory.Kernel α β} (measurable : ∀ (x : ℝ), Measurable fun p => ↑(f p) x) (integrable : ∀ (a : α) (x : ℝ), MeasureTheory.Integrable (fun b => ↑(f (a, b)) x) (ν a)) (tendsto_atTop_one : ∀ (p : α × β), Filter.Tendsto (↑(f p)) Filter.atTop (nhds 1)) (tendsto_atBot_zero : ∀ (p : α × β), Filter.Tendsto (↑(f p)) Filter.atBot (nhds 0)) (setIntegral : ∀ (a : α) {s : Set β}, MeasurableSet s → ∀ (x : ℝ), ∫ (b : β) in s, ↑(f (a, b)) x ∂ν a = (κ a).real (s ×ˢ Set.Iic x)) : ProbabilityTheory.IsCondKernelCDF f κ ν - ProbabilityTheory.measurable_condCDF 📋 Mathlib.Probability.Kernel.Disintegration.CondCDF
{α : Type u_1} {mα : MeasurableSpace α} (ρ : MeasureTheory.Measure (α × ℝ)) (x : ℝ) : Measurable fun a => ↑(ProbabilityTheory.condCDF ρ a) x - ProbabilityTheory.condCDF_le_one 📋 Mathlib.Probability.Kernel.Disintegration.CondCDF
{α : Type u_1} {mα : MeasurableSpace α} (ρ : MeasureTheory.Measure (α × ℝ)) (a : α) (x : ℝ) : ↑(ProbabilityTheory.condCDF ρ a) x ≤ 1 - ProbabilityTheory.condCDF_nonneg 📋 Mathlib.Probability.Kernel.Disintegration.CondCDF
{α : Type u_1} {mα : MeasurableSpace α} (ρ : MeasureTheory.Measure (α × ℝ)) (a : α) (r : ℝ) : 0 ≤ ↑(ProbabilityTheory.condCDF ρ a) r - ProbabilityTheory.stronglyMeasurable_condCDF 📋 Mathlib.Probability.Kernel.Disintegration.CondCDF
{α : Type u_1} {mα : MeasurableSpace α} (ρ : MeasureTheory.Measure (α × ℝ)) (x : ℝ) : MeasureTheory.StronglyMeasurable fun a => ↑(ProbabilityTheory.condCDF ρ a) x - ProbabilityTheory.tendsto_condCDF_atBot 📋 Mathlib.Probability.Kernel.Disintegration.CondCDF
{α : Type u_1} {mα : MeasurableSpace α} (ρ : MeasureTheory.Measure (α × ℝ)) (a : α) : Filter.Tendsto (↑(ProbabilityTheory.condCDF ρ a)) Filter.atBot (nhds 0) - ProbabilityTheory.tendsto_condCDF_atTop 📋 Mathlib.Probability.Kernel.Disintegration.CondCDF
{α : Type u_1} {mα : MeasurableSpace α} (ρ : MeasureTheory.Measure (α × ℝ)) (a : α) : Filter.Tendsto (↑(ProbabilityTheory.condCDF ρ a)) Filter.atTop (nhds 1) - ProbabilityTheory.integrable_condCDF 📋 Mathlib.Probability.Kernel.Disintegration.CondCDF
{α : Type u_1} {mα : MeasurableSpace α} (ρ : MeasureTheory.Measure (α × ℝ)) [MeasureTheory.IsFiniteMeasure ρ] (x : ℝ) : MeasureTheory.Integrable (fun a => ↑(ProbabilityTheory.condCDF ρ a) x) ρ.fst - ProbabilityTheory.ofReal_condCDF_ae_eq 📋 Mathlib.Probability.Kernel.Disintegration.CondCDF
{α : Type u_1} {mα : MeasurableSpace α} (ρ : MeasureTheory.Measure (α × ℝ)) [MeasureTheory.IsFiniteMeasure ρ] (r : ℚ) : (fun a => ENNReal.ofReal (↑(ProbabilityTheory.condCDF ρ a) ↑r)) =ᵐ[ρ.fst] ProbabilityTheory.preCDF ρ r - ProbabilityTheory.condCDF_ae_eq 📋 Mathlib.Probability.Kernel.Disintegration.CondCDF
{α : Type u_1} {mα : MeasurableSpace α} (ρ : MeasureTheory.Measure (α × ℝ)) [MeasureTheory.IsFiniteMeasure ρ] (r : ℚ) : (fun a => ↑(ProbabilityTheory.condCDF ρ a) ↑r) =ᵐ[ρ.fst] fun a => (ProbabilityTheory.preCDF ρ r a).toReal - ProbabilityTheory.integral_condCDF 📋 Mathlib.Probability.Kernel.Disintegration.CondCDF
{α : Type u_1} {mα : MeasurableSpace α} (ρ : MeasureTheory.Measure (α × ℝ)) [MeasureTheory.IsFiniteMeasure ρ] (x : ℝ) : ∫ (a : α), ↑(ProbabilityTheory.condCDF ρ a) x ∂ρ.fst = ρ.real (Set.univ ×ˢ Set.Iic x) - ProbabilityTheory.lintegral_condCDF 📋 Mathlib.Probability.Kernel.Disintegration.CondCDF
{α : Type u_1} {mα : MeasurableSpace α} (ρ : MeasureTheory.Measure (α × ℝ)) [MeasureTheory.IsFiniteMeasure ρ] (x : ℝ) : ∫⁻ (a : α), ENNReal.ofReal (↑(ProbabilityTheory.condCDF ρ a) x) ∂ρ.fst = ρ (Set.univ ×ˢ Set.Iic x) - ProbabilityTheory.setIntegral_condCDF 📋 Mathlib.Probability.Kernel.Disintegration.CondCDF
{α : Type u_1} {mα : MeasurableSpace α} (ρ : MeasureTheory.Measure (α × ℝ)) [MeasureTheory.IsFiniteMeasure ρ] (x : ℝ) {s : Set α} (hs : MeasurableSet s) : ∫ (a : α) in s, ↑(ProbabilityTheory.condCDF ρ a) x ∂ρ.fst = ρ.real (s ×ˢ Set.Iic x) - ProbabilityTheory.measure_condCDF_Iic 📋 Mathlib.Probability.Kernel.Disintegration.CondCDF
{α : Type u_1} {mα : MeasurableSpace α} (ρ : MeasureTheory.Measure (α × ℝ)) (a : α) (x : ℝ) : (ProbabilityTheory.condCDF ρ a).measure (Set.Iic x) = ENNReal.ofReal (↑(ProbabilityTheory.condCDF ρ a) x) - ProbabilityTheory.setLIntegral_condCDF 📋 Mathlib.Probability.Kernel.Disintegration.CondCDF
{α : Type u_1} {mα : MeasurableSpace α} (ρ : MeasureTheory.Measure (α × ℝ)) [MeasureTheory.IsFiniteMeasure ρ] (x : ℝ) {s : Set α} (hs : MeasurableSet s) : ∫⁻ (a : α) in s, ENNReal.ofReal (↑(ProbabilityTheory.condCDF ρ a) x) ∂ρ.fst = ρ (s ×ˢ Set.Iic x) - ProbabilityTheory.monotone_cdf 📋 Mathlib.Probability.CDF
(μ : MeasureTheory.Measure ℝ) : Monotone ↑(ProbabilityTheory.cdf μ) - ProbabilityTheory.cdf_le_one 📋 Mathlib.Probability.CDF
(μ : MeasureTheory.Measure ℝ) (x : ℝ) : ↑(ProbabilityTheory.cdf μ) x ≤ 1 - ProbabilityTheory.cdf_nonneg 📋 Mathlib.Probability.CDF
(μ : MeasureTheory.Measure ℝ) (x : ℝ) : 0 ≤ ↑(ProbabilityTheory.cdf μ) x - ProbabilityTheory.cdf_eq_real 📋 Mathlib.Probability.CDF
(μ : MeasureTheory.Measure ℝ) [MeasureTheory.IsProbabilityMeasure μ] (x : ℝ) : ↑(ProbabilityTheory.cdf μ) x = μ.real (Set.Iic x) - ProbabilityTheory.tendsto_cdf_atBot 📋 Mathlib.Probability.CDF
(μ : MeasureTheory.Measure ℝ) : Filter.Tendsto (↑(ProbabilityTheory.cdf μ)) Filter.atBot (nhds 0) - ProbabilityTheory.tendsto_cdf_atTop 📋 Mathlib.Probability.CDF
(μ : MeasureTheory.Measure ℝ) : Filter.Tendsto (↑(ProbabilityTheory.cdf μ)) Filter.atTop (nhds 1) - ProbabilityTheory.ofReal_cdf 📋 Mathlib.Probability.CDF
(μ : MeasureTheory.Measure ℝ) [MeasureTheory.IsProbabilityMeasure μ] (x : ℝ) : ENNReal.ofReal (↑(ProbabilityTheory.cdf μ) x) = μ (Set.Iic x) - ProbabilityTheory.cdf_measure_stieltjesFunction 📋 Mathlib.Probability.CDF
(f : StieltjesFunction ℝ) (hf0 : Filter.Tendsto (↑f) Filter.atBot (nhds 0)) (hf1 : Filter.Tendsto (↑f) Filter.atTop (nhds 1)) : ProbabilityTheory.cdf f.measure = f - ProbabilityTheory.unitInterval.cdf_eq_real 📋 Mathlib.Probability.CDF
(μ : MeasureTheory.Measure ↑unitInterval) [MeasureTheory.IsProbabilityMeasure μ] (x : ↑unitInterval) : ↑(ProbabilityTheory.cdf (MeasureTheory.Measure.map Subtype.val μ)) ↑x = μ.real (Set.Icc 0 x) - ProbabilityTheory.cdf_gammaMeasure_eq_lintegral 📋 Mathlib.Probability.Distributions.Gamma
{a r : ℝ} (ha : 0 < a) (hr : 0 < r) (x : ℝ) : ↑(ProbabilityTheory.cdf (ProbabilityTheory.gammaMeasure a r)) x = (∫⁻ (x : ℝ) in Set.Iic x, ProbabilityTheory.gammaPDF a r x).toReal - ProbabilityTheory.cdf_gammaMeasure_eq_integral 📋 Mathlib.Probability.Distributions.Gamma
{a r : ℝ} (ha : 0 < a) (hr : 0 < r) (x : ℝ) : ↑(ProbabilityTheory.cdf (ProbabilityTheory.gammaMeasure a r)) x = ∫ (x : ℝ) in Set.Iic x, ProbabilityTheory.gammaPDFReal a r x - ProbabilityTheory.cdf_expMeasure_eq_lintegral 📋 Mathlib.Probability.Distributions.Exponential
{r : ℝ} (hr : 0 < r) (x : ℝ) : ↑(ProbabilityTheory.cdf (ProbabilityTheory.expMeasure r)) x = (∫⁻ (x : ℝ) in Set.Iic x, ProbabilityTheory.exponentialPDF r x).toReal - ProbabilityTheory.cdf_expMeasure_eq_integral 📋 Mathlib.Probability.Distributions.Exponential
{r : ℝ} (hr : 0 < r) (x : ℝ) : ↑(ProbabilityTheory.cdf (ProbabilityTheory.expMeasure r)) x = ∫ (x : ℝ) in Set.Iic x, ProbabilityTheory.exponentialPDFReal r x - ProbabilityTheory.cdf_expMeasure_eq 📋 Mathlib.Probability.Distributions.Exponential
{r : ℝ} (hr : 0 < r) (x : ℝ) : ↑(ProbabilityTheory.cdf (ProbabilityTheory.expMeasure r)) x = if 0 ≤ x then 1 - Real.exp (-(r * x)) else 0 - ProbabilityTheory.cdf_paretoMeasure_eq_lintegral 📋 Mathlib.Probability.Distributions.Pareto
{t r : ℝ} (ht : 0 < t) (hr : 0 < r) (x : ℝ) : ↑(ProbabilityTheory.cdf (ProbabilityTheory.paretoMeasure t r)) x = (∫⁻ (x : ℝ) in Set.Iic x, ProbabilityTheory.paretoPDF t r x).toReal - ProbabilityTheory.cdf_paretoMeasure_eq_integral 📋 Mathlib.Probability.Distributions.Pareto
{t r : ℝ} (ht : 0 < t) (hr : 0 < r) (x : ℝ) : ↑(ProbabilityTheory.cdf (ProbabilityTheory.paretoMeasure t r)) x = ∫ (x : ℝ) in Set.Iic x, ProbabilityTheory.paretoPDFReal t r x
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