Sigma-algebra to Fundamental theorem of…
ClassSigma-algebra#
A measurable space is a space equipped with a σ-algebra.
MeasurableSpace.{u_6} (α : Type u_6) : Type u_6
Sources
- Mathlib documentation:
MeasurableSpace - Source of
MeasurableSpacein Mathlib/MeasureTheory/MeasurableSpace/Defs.lean - Mathlib overview: Analysis › Measures and integral calculus
- Mathlib undergraduate list: Measures and integral calculus › Measure theory
- Mathlib undergraduate list: Measures and integral calculus › Measure theory
- Mathlib undergraduate list: Probability Theory › Definitions of a probability space
Uses 1 · Used by 4
DefinitionMeasurable function#
A function f between measurable spaces is measurable if the preimage of every
measurable set is measurable.
Measurable.{u_1, u_2} {α : Type u_1} {β : Type u_2} [MeasurableSpace α] [MeasurableSpace β]
(f : α → β) : Prop
Sources
Uses 1 · Used by 41
StructureThe category of measurable spaces#
The category of measurable spaces and measurable functions.
MeasCat.{u} : Type (u + 1)
Sources
Uses 1
ClassBorel sigma-algebra#
A space with MeasurableSpace and TopologicalSpace structures such that
the σ-algebra of measurable sets is exactly the σ-algebra generated by open sets.
BorelSpace.{u_6} (α : Type u_6) [TopologicalSpace α] [MeasurableSpace α] : Prop
Sources
Uses 2 · Used by 41
StructurePositive measure#
A measure is defined to be an outer measure that is countably additive on measurable sets, with the additional assumption that the outer measure is the canonical extension of the restricted measure.
The measure of a set s, denoted μ s, is an extended nonnegative real. The real-valued version
is written μ.real s.
MeasureTheory.Measure.{u_5} (α : Type u_5) [MeasurableSpace α] : Type u_5
Sources
Uses 3 · Used by 23
DefinitionStieltjes measure#
The measure associated to a Stieltjes function, giving mass f b - f a to the
interval (a, b]. If there is a bot element, it gives zero mass to it.
StieltjesFunction.measure.{u_1} {R : Type u_1} [LinearOrder R] [TopologicalSpace R]
(f : StieltjesFunction R) [OrderTopology R] [CompactIccSpace R] [MeasurableSpace R] [BorelSpace R]
[SecondCountableTopology R] [DenselyOrdered R] : MeasureTheory.Measure R
Sources
Uses 6
InstanceLebesgue measure (Measures and integral calculus)#
Mathlib states this as Real.measureSpace.
Real.measureSpace : MeasureTheory.MeasureSpace ℝ
Sources
Uses 4 · Used by 26
DefinitionHausdorff measure#
Hausdorff measure on an (e)metric space.
MeasureTheory.Measure.hausdorffMeasure.{u_2} {X : Type u_2} [EMetricSpace X] [MeasurableSpace X]
[BorelSpace X] (d : ℝ) : MeasureTheory.Measure X
Sources
Uses 3 · Used by 1
DefinitionHausdorff dimension#
Hausdorff dimension of a set in an (e)metric space.
dimH.{u_2} {X : Type u_2} [EMetricSpace X] (s : Set X) : ENNReal
Sources
Uses 1
InstanceGiry monad#
Measurability structure on Measure: Measures are measurable w.r.t. all projections
MeasureTheory.Measure.instMeasurableSpace.{u_1} {α : Type u_1} {mα : MeasurableSpace α} :
MeasurableSpace (MeasureTheory.Measure α)
Sources
Uses 1 · Used by 9
DefinitionIntegral of positive measurable functions#
The lower Lebesgue integral of a function f with respect to a measure μ.
MeasureTheory.lintegral.{u_1} {α : Type u_1} {m : MeasurableSpace α} (μ : MeasureTheory.Measure α)
(f : α → ENNReal) : ENNReal
Sources
- Mathlib documentation:
MeasureTheory.lintegral - Source of
MeasureTheory.lintegralin Mathlib/MeasureTheory/Integral/Lebesgue/Basic.lean - Mathlib overview: Analysis › Measures and integral calculus
- Mathlib undergraduate list: Measures and integral calculus › Integration
- Freek Wiedijk's 100 theorems, no. 86
Uses 1 · Used by 16
TheoremMonotone convergence theorem (Measures and integral calculus)#
Monotone convergence theorem for nonincreasing sequences of functions.
MeasureTheory.lintegral_iInf_ae.{u_1} {α : Type u_1} [MeasurableSpace α]
{μ : MeasureTheory.Measure α} {f : ℕ → α → ENNReal} (h_meas : ∀ (n : ℕ), Measurable (f n))
(h_mono : ∀ (n : ℕ), f n.succ ≤ᵐ[μ] f n) (h_fin : ∫⁻ (a : α), f 0 a ∂μ ≠ ⊤) :
∫⁻ (a : α), ⨅ n, f n a ∂μ = ⨅ n, ∫⁻ (a : α), f n a ∂μ
Sources
Uses 5
TheoremFatou's lemma#
Fatou's lemma, version with Measurable functions.
MeasureTheory.lintegral_liminf_le.{u_1, u_3} {α : Type u_1} {m : MeasurableSpace α}
{μ : MeasureTheory.Measure α} {ι : Type u_3} {f : ι → α → ENNReal} {u : Filter ι}
[u.IsCountablyGenerated] (h_meas : ∀ (i : ι), Measurable (f i)) :
∫⁻ (a : α), Filter.liminf (fun i => f i a) u ∂μ ≤ Filter.liminf (fun i => ∫⁻ (a : α), f i a ∂μ) u
Sources
- Mathlib documentation:
MeasureTheory.lintegral_liminf_le - Source of
MeasureTheory.lintegral_liminf_lein Mathlib/MeasureTheory/Integral/Lebesgue/Add.lean - Mathlib overview: Analysis › Measures and integral calculus
- Mathlib undergraduate list: Measures and integral calculus › Integration
- 1000+ theorems list: Q5437947
- 1000+ theorems project: Q5437947
- Wikipedia: Fatou–Lebesgue theorem
- Wikidata: Q5437947
Uses 9 · Used by 2
DefinitionVector-valued integrable function (Bochner integral)#
Integrable f μ means that f is measurable and that the integral ∫⁻ a, ‖f a‖ ∂μ is finite.
Integrable f means Integrable f volume.
MeasureTheory.Integrable.{u_5, u_7} {ε : Type u_5} [TopologicalSpace ε] [ContinuousENorm ε]
{α : Type u_7} {x✝ : MeasurableSpace α} (f : α → ε)
(μ : MeasureTheory.Measure α := by volume_tac) : Prop
Sources
- Mathlib documentation:
MeasureTheory.Integrable - Source of
MeasureTheory.Integrablein Mathlib/MeasureTheory/Function/L1Space/Integrable.lean - Mathlib overview: Analysis › Measures and integral calculus
- Mathlib undergraduate list: Measures and integral calculus › Integration
- Mathlib undergraduate list: Measures and integral calculus › Integration
Uses 3 · Used by 6
StructureUniform integrability#
In probability theory, a family of measurable functions is uniformly integrable if it is uniformly integrable in the measure theory sense and is uniformly bounded.
MeasureTheory.UniformIntegrable.{u_1, u_2, u_3} {α : Type u_1} {β : Type u_2} {ι : Type u_3}
{m : MeasurableSpace α} [NormedAddCommGroup β] (f : ι → α → β) (p : ENNReal)
(μ : MeasureTheory.Measure α) : Prop
Sources
Definition\(L^p\) space#
Lp space
MeasureTheory.Lp.{u_6, u_7} {α : Type u_7} (E : Type u_6) {m : MeasurableSpace α}
[NormedAddCommGroup E] (p : ENNReal) (μ : MeasureTheory.Measure α := by volume_tac) :
AddSubgroup (α →ₘ[μ] E)
Sources
- Mathlib documentation:
MeasureTheory.Lp - Source of
MeasureTheory.Lpin Mathlib/MeasureTheory/Function/LpSpace/Basic.lean - Mathlib overview: Analysis › Measures and integral calculus
- Mathlib overview: Probability Theory › Convergence of a sequence of random variables
- Mathlib undergraduate list: Measures and integral calculus › Integration
- Mathlib undergraduate list: Probability Theory › Convergence of a sequence of random variables
Uses 4 · Used by 5
DefinitionBochner integral#
The Bochner integral
MeasureTheory.integral.{u_1, u_5} {α : Type u_1} {G : Type u_5} [NormedAddCommGroup G]
[NormedSpace ℝ G] {x✝ : MeasurableSpace α} (μ : MeasureTheory.Measure α) (f : α → G) : G
Sources
Uses 6 · Used by 44
TheoremDominated convergence theorem#
Lebesgue dominated convergence theorem provides sufficient conditions under which almost
everywhere convergence of a sequence of functions implies the convergence of their integrals.
We could weaken the condition bound_integrable to require HasFiniteIntegral bound μ instead
(i.e. not requiring that bound is measurable), but in all applications proving integrability
is easier.
MeasureTheory.tendsto_integral_of_dominated_convergence.{u_1, u_3} {α : Type u_1} {G : Type u_3}
[NormedAddCommGroup G] [NormedSpace ℝ G] {m : MeasurableSpace α} {μ : MeasureTheory.Measure α}
{F : ℕ → α → G} {f : α → G} (bound : α → ℝ)
(F_measurable : ∀ (n : ℕ), MeasureTheory.AEStronglyMeasurable (F n) μ)
(bound_integrable : MeasureTheory.Integrable bound μ)
(h_bound : ∀ (n : ℕ), ∀ᵐ (a : α) ∂μ, ‖F n a‖ ≤ bound a)
(h_lim : ∀ᵐ (a : α) ∂μ, Filter.Tendsto (fun n => F n a) Filter.atTop (nhds (f a))) :
Filter.Tendsto (fun n => ∫ (a : α), F n a ∂μ) Filter.atTop (nhds (∫ (a : α), f a ∂μ))
Sources
- Mathlib documentation:
MeasureTheory.tendsto_integral_of_dominated_convergence - Source of
MeasureTheory.tendsto_integral_of_dominated_convergencein Mathlib/MeasureTheory/Integral/DominatedConvergence.lean - Mathlib overview: Analysis › Measures and integral calculus
- Mathlib undergraduate list: Measures and integral calculus › Integration
- 1000+ theorems list: Q1067156
- 1000+ theorems project: Q1067156
- Wikipedia: Dominated convergence theorem
- Wikidata: Q1067156
Uses 1 · Used by 3
TheoremFundamental theorem of calculus, part 1#
Fundamental theorem of calculus-1: if f : ℝ → E is integrable on a..b and f x has
finite limits ca and cb almost surely as x tends to a and b, respectively, then
(u, v) ↦ ∫ x in u..v, f x has derivative (u, v) ↦ v • cb - u • ca at (a, b).
intervalIntegral.integral_hasFDerivAt_of_tendsto_ae.{u_3} {E : Type u_3} [NormedAddCommGroup E]
[NormedSpace ℝ E] [CompleteSpace E] {f : ℝ → E} {ca cb : E} {a b : ℝ}
(hf : IntervalIntegrable f MeasureTheory.volume a b)
(hmeas_a : StronglyMeasurableAtFilter f (nhds a) MeasureTheory.volume)
(hmeas_b : StronglyMeasurableAtFilter f (nhds b) MeasureTheory.volume)
(ha : Filter.Tendsto f (nhds a ⊓ MeasureTheory.ae MeasureTheory.volume) (nhds ca))
(hb : Filter.Tendsto f (nhds b ⊓ MeasureTheory.ae MeasureTheory.volume) (nhds cb)) :
HasFDerivAt (fun p => ∫ (x : ℝ) in p.1..p.2, f x)
((ContinuousLinearMap.snd ℝ ℝ ℝ).smulRight cb - (ContinuousLinearMap.fst ℝ ℝ ℝ).smulRight ca)
(a, b)
Sources
TheoremFundamental theorem of calculus, part 2#
Fundamental theorem of calculus-2: If f : ℝ → E is continuous on [a, b] (where a ≤ b)
and has a right derivative at f' x for all x in (a, b), and f' is integrable on [a, b],
then ∫ y in a..b, f' y equals f b - f a.
intervalIntegral.integral_eq_sub_of_hasDeriv_right_of_le.{u_3} {E : Type u_3} [NormedAddCommGroup E]
[NormedSpace ℝ E] {a b : ℝ} [CompleteSpace E] {f f' : ℝ → E} (hab : a ≤ b)
(hcont : ContinuousOn f (Set.Icc a b))
(hderiv : ∀ x ∈ Set.Ioo a b, HasDerivWithinAt f (f' x) (Set.Ioi x) x)
(f'int : IntervalIntegrable f' MeasureTheory.volume a b) : ∫ (y : ℝ) in a..b, f' y = f b - f a
Sources
Uses 15 · Used by 6
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