Let be the sub category of measure space. The object is all the measure space .
The morphism is all the measurable function such that
Definition.
Let be a measure space and . When , we define to be the set of all the measurable functions from to (here is real or complex number) such that:
Where is the space of measurable function equal to almost everywhere.
Proposition. is a functor.
Proof. Let be a morphism in .
First we prove is well defined, then we check it is a contraction linear map.
To see is well defined, we need to prove that .
Notice that , and
Then follows from .
Easy to see it is linear, and for contraction, if , it is follows from the change of varible.
For , let's recall the definitions:
For ,
For ,
Fix a constant and let , then .
If , then . Hence if almost everywhere, then almost everywhere. Hence .
Hence is a contraction map. Easy to see that and . Hence is a functor.
Remark. If , then is an isometry.
Well, is not a good category, for example, we could not define coproduct. So Let us define a new category.
From to
Definition.
Let be the sub category of measure space. The object is all the measure space .
The morphism is all the measurable function such that
Where is a constant.
Proposition. is a functor from to .
First we prove is well defined, then we check it is a bounded linear map.
To see is well defined, we need to prove that .
Notice that , and
Then follows from .
Easy to see it is linear, and for bounded property , if , it is follows from the change of varible.
For , let's recall the definitions:
For ,
For ,
Fix a constant and let , then .
If , then . Hence if almost everywhere, then almost everywhere. Hence .
Hence indeed, is not only bounded but also contraction map! Therefore, for , and . Easy to see that and . Hence is a functor.
is cocomplete
To prove a category is cocomplete, we only need to prove the existence of coproduction and coequalizer.
Lemma. The coproduct exists in .
Proof. First let us prove that the empty coproduct exits, i.e. the initial object exists.
Let us consider . Since is the initial object in , for any measure space we have a unique .
Easy to see it is measurable and . Hence it is the initial object.
Now let us prove the binary product exits. Let be two measure spaces.
The coproduct of and is , here is the greatest sigma algebra make measurable and
We prove it is the coproduct.
Easy to see that are morphisms in .
Let be two morphisms in , i.e. two measurable functions such that and .
then we have a unique function .
It is measurable, since .
Also, , hence we verify that the coproduction exists.
Lemma. The coequalizer exists in .
Proof. Let be two measurebale functions such that .
We take to be the coequalizer in , and take the sigma algebra on to be
Let . Let us check the universal property of . Let be a morphism such that , then it is uniquely passing through by the universal property in , . By the definition of , is measurable.
Now we need to check that . That is follows from
Hence is cocomplete.
functor maps colimit to limit.
We only need to check that maps coproduct to product and coequalizer to equalizer.
Lemma..
Proof. For and , we have
and
By universal property of product, we have .
Such that , the inverse map is defined by
Lemma. functor maps coequalizer to equalizer.
Proof. Let coequalize and , then , i.e. equalize and . Now we need to prove that
is isomorphic to the equalizer.
By the universal property of equalizer, we have a unique map . If we take to be the kernel of , then .
Let such that . Then by the universal property of coequalizer.
Hence is surjective.
Therefore, maps colimit to limit.
A short exact sequence.
Let be a measure space, then we have the following split short exact sequence.
Since we have .
The deep structure hidden under the short exaxt sequence
Key observation. Notice that each sigma algebra is a Boolean ring , hence a algebra, thus a vector space.
We could define a functor - as follows.
For a measurable space , . For a measurable function , we define .
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