Constructions for measurable spaces and functions #
This file provides several ways to construct new measurable spaces and functions from old ones:
Quotient, Subtype, Prod, Pi, etc.
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Alias of Measurable.subtype_coe.
The measurable atom of x is the intersection of all the measurable sets containing x.
It is measurable when the space is countable (or more generally when the measurable space is
countably generated).
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There is in fact equality: see measurableAtom_eq_of_mem.
A MeasurableSpace structure on the product of two measurable spaces.
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Alias of Measurable.prodMk.
Alias of Measurable.prodMap.
Alias of measurable_prodMk_left.
Alias of measurable_prodMk_right.
A piecewise function on countably many pieces is measurable if all the data is measurable.
Let t i be a countable covering of a set T by measurable sets. Let f i : t i → β be a
family of functions that agree on the intersections t i ∩ t j. Then the function
Set.iUnionLift t f _ _ : T → β, defined as f i ⟨x, hx⟩ for hx : x ∈ t i, is measurable.
Let t i be a countable covering of α by measurable sets. Let f i : t i → β be a family of
functions that agree on the intersections t i ∩ t j. Then the function Set.liftCover t f _ _,
defined as f i ⟨x, hx⟩ for hx : x ∈ t i, is measurable.
Let t i be a nonempty countable family of measurable sets in α. Let g i : α → β be a
family of measurable functions such that g i agrees with g j on t i ∩ t j. Then there exists
a measurable function f : α → β that agrees with each g i on t i.
We only need the assumption [Nonempty ι] to prove [Nonempty (α → β)].
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The function (f, x) ↦ update f a x : (Π a, X a) × X a → Π a, X a is measurable.
The function update f a : X a → Π a, X a is always measurable.
This doesn't require f to be measurable.
This should not be confused with the statement that update f a x is measurable.
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Alias of the reverse direction of measurableSet_inl_image.
Alias of the reverse direction of measurableSet_inr_image.
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Alias of the reverse direction of measurableSet_setOf.
Alias of the reverse direction of measurable_mem.
This instance is useful when talking about Bernoulli sequences of random variables or binomial random graphs.
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Alias of measurable_set_notMem.
Alias of measurableSet_notMem.