Borel (measurable) space #
Main definitions #
borel α: the leastσ-algebra that contains all open sets;class BorelSpace: a space withTopologicalSpaceandMeasurableSpacestructures such that‹MeasurableSpace α› = borel α;class OpensMeasurableSpace: a space withTopologicalSpaceandMeasurableSpacestructures such that all open sets are measurable; equivalently,borel α ≤ ‹MeasurableSpace α›.BorelSpaceinstances onEmpty,Unit,Bool,Nat,Int,Rat;MeasurableSpaceandBorelSpaceinstances onℝ,ℝ≥0,ℝ≥0∞.
Main statements #
IsOpen.measurableSet,IsClosed.measurableSet: open and closed sets are measurable;Continuous.measurable: a continuous function is measurable;Continuous.measurable2: iff : α → βandg : α → γare measurable andop : β × γ → δis continuous, thenfun x => op (f x, g y)is measurable;Measurable.addetc. : dot notation for arithmetic operations onMeasurablepredicates, and similarly fordistandedist;AEMeasurable.add: similar dot notation for almost everywhere measurable functions;
MeasurableSpace structure generated by TopologicalSpace.
Instances For
A space with MeasurableSpace and TopologicalSpace structures such that
all open sets are measurable.
Borel-measurable sets are measurable.
Instances
A space with MeasurableSpace and TopologicalSpace structures such that
the σ-algebra of measurable sets is exactly the σ-algebra generated by open sets.
The measurable sets are exactly the Borel-measurable sets.
Instances
The behaviour of borelize α depends on the existing assumptions on α.
- if
αis a topological space with instances[MeasurableSpace α] [BorelSpace α], thenborelize αreplaces the former instance byborel α; - otherwise,
borelize αadds instancesborel α : MeasurableSpace αand⟨rfl⟩ : BorelSpace α.
Finally, borelize α β γ runs borelize α; borelize β; borelize γ.
Equations
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Instances For
Add instances borel e : MeasurableSpace e and ⟨rfl⟩ : BorelSpace e.
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Given a type e, an assumption i : MeasurableSpace e, and an instance [BorelSpace e],
replace i with borel e.
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Given a type $t, if there is an assumption [i : MeasurableSpace $t], then try to prove
[BorelSpace $t] and replace i with borel $t. Otherwise, add instances
borel $t : MeasurableSpace $t and ⟨rfl⟩ : BorelSpace $t.
Equations
- One or more equations did not get rendered due to their size.
Instances For
In a BorelSpace all open sets are measurable.
If two points are topologically inseparable, then they can't be separated by a Borel measurable set.
If K is a compact set in an R₁ space and s ⊇ K is a Borel measurable superset,
then s includes the closure of K as well.
In an R₁ topological space with Borel measure μ,
the measure of the closure of a compact set K is equal to the measure of K.
See also MeasureTheory.Measure.OuterRegular.measure_closure_eq_of_isCompact
for a version that assumes μ to be outer regular
but does not assume the σ-algebra to be Borel.
If s is a measurable set, then 𝓝[s] a is a measurably generated filter for
each a. This cannot be an instance because it depends on a non-instance hs : MeasurableSet s.
The typeclass SecondCountableTopologyEither α β registers the fact that at least one of
the two spaces has second countable topology. This is the right assumption to ensure that continuous
maps from α to β are strongly measurable.
The projection out of
SecondCountableTopologyEither
Instances
If either α or β has second-countable topology, then the open sets in α × β belong to the
product sigma-algebra.
A continuous function from an OpensMeasurableSpace to a BorelSpace
is measurable.
A continuous function from an OpensMeasurableSpace to a BorelSpace
is ae-measurable.
If a function is defined piecewise in terms of functions which are continuous on their respective pieces, then it is measurable.
A homeomorphism between two Borel spaces is a measurable equivalence.
Equations
- h.toMeasurableEquiv = { toEquiv := h.toEquiv, measurable_toFun := ⋯, measurable_invFun := ⋯ }
Instances For
Alias of ContinuousInv₀.measurableInv.
Given a measurable embedding to a Borel space which is also a topological embedding, then the source space is also a Borel space.