The category of measurable spaces #
Measurable spaces and measurable functions form a (concrete) category MeasCat.
Main definitions #
Measure : MeasCat ⥤ MeasCat: the functor which sends a measurable spaceXto the space of measures onX; it is a monad (the "Giry monad").Borel : TopCat ⥤ MeasCat: sends a topological spaceXtoXequipped with theσ-algebra of Borel sets (theσ-algebra generated by the open subsets ofX).
Tags #
measurable space, giry monad, borel
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- MeasCat.instCoeSortType = { coe := MeasCat.carrier }
Construct a bundled MeasCat from the underlying type and the typeclass.
Equations
- MeasCat.of α = { carrier := α, str := ms }
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- MeasCat.instInhabited = { default := MeasCat.of Empty }
Measure X is the measurable space of measures over the measurable space X. It is the
weakest measurable space, s.t. fun μ ↦ μ s is measurable for all measurable sets s in X. An
important purpose is to assign a monadic structure on it, the Giry monad. In the Giry monad,
the pure values are the Dirac measure, and the bind operation maps to the integral:
(μ >>= ν) s = ∫ x. (ν x) s dμ.
In probability theory, the MeasCat-morphisms X → Prob X are (sub-)Markov kernels (here Prob is
the restriction of Measure to (sub-)probability space.)
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The Giry monad, i.e. the monadic structure associated with Measure.
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An example for an algebra on Measure: the nonnegative Lebesgue integral is a hom, behaving
nicely under the monad operations.
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The Borel functor, the canonical embedding of topological spaces into measurable spaces.