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Friday, May 16, 2025

L^p space as functor

 

Lp space as a functor

From M1 To Ban1

Definition.

Let M1 be the sub category of measure space. The object is all the measure space (M,Σ,μ).

The morphism is all the measurable function f:(M,Σ,μM)→(N,Ω,μN) such that

∀X∈Ω,f∗μM(X)=μM(f−1(X))≤μN(X)

Definition.

Let (M,Σ,μ) be a measure space and 1≤p≤∞. When p≠∞, we define Lp(M,Σ,μ) to be the set of all the measurable functions from M to K (here K is real or complex number) such that:

Lp(M,Σ,μM):={f:M→K|f is measurable ,∥f∥p<∞}/KM

Where KM is the space of measurable function equal to 0 almost everywhere.

Proposition. Lp(−):M1op→Ban1 is a functor.

Proof. Let f:(M,Σ,μM)→(N,Ω,μN) be a morphism in M1.

Lp(f)=f∗:Lp(N)→Lp(M),h⟼h∘f

First we prove f∗ is well defined, then we check it is a contraction linear map.

To see f∗ is well defined, we need to prove that f∗(KN)⊆KM.

Notice that h∈KN⟺Xh={x∈N:h(x)≠0},μN(Xh)=0, and Xh∘f={y∈M:h∘f(y)≠0}=f−1(Xh)

Then f∗(h)∈KM follows from μM(Xf∗h)=μM(f−1(Xh))≤μN(Xh)=0.

Easy to see it is linear, and for contraction, if p<∞, it is follows from the change of varible.

∫M|h(f(x))|pdμM=∫N|h(y)|pd(f∗μM)≤∫N|h(y)|pdμN

 

For p=∞, let's recall the definitions:

  • For (N,Ω,μN), ∥h∥L∞(N)=inf{C≥0:|h(y)|≤C for μN-a.e. y∈N}.

  • For (M,Σ,μM), ∥h∘f∥L∞(M)=inf{C≥0:|h(f(x))|≤C for μM-a.e. x∈M}.

Fix a constant C and let Eh={x∈N:h(x)>C}, then Eh∘f={x∈M:h∘f(x)>C}=f−1(Eh).

If μN(Eh)=0, then μM(Eh∘f)=μM(f−1(Eh))≤μN(Eh)=0. Hence if |h(y)|≤C almost everywhere, then |h∘f(x)|≤C almost everywhere. Hence ∥h∥N≥∥h∘f∥M.

Hence ∥f∗∥≤1 is a contraction map. Easy to see that Lp(id)=id and Lp(f∘g)=Lp(g)∘Lp(f). Hence Lp is a functor. ◻

Remark. If μN=μM∘f−1, then f∗ is an isometry.

Well, M1 is not a good category, for example, we could not define coproduct. So Let us define a new category.

From M to Ban

Definition.

Let M be the sub category of measure space. The object is all the measure space (M,Σ,μ).

The morphism is all the measurable function f:(M,Σ,μM)→(N,Ω,μN) such that

∀X∈Ω,f∗μM(X)=μM(f−1(X))≤KμN(X)

Where K∈(0,∞) is a constant.

Proposition. Lp(−) is a functor from M to Ban.

First we prove f∗ is well defined, then we check it is a bounded linear map.

To see f∗ is well defined, we need to prove that f∗(KN)⊆KM.

Notice that h∈KN⟺Xh={x∈N:h(x)≠0},μN(Xh)=0, and Xh∘f={y∈M:h∘f(y)≠0}=f−1(Xh)

Then f∗(h)∈KM follows from μM(Xf∗h)=μM(f−1(Xh))≤KμN(Xh)=0.

Easy to see it is linear, and for bounded property , if p<∞, it is follows from the change of varible.

∫M|h(f(x))|pdμM=∫N|h(y)|pd(f∗μM)≤K∫N|h(y)|pdμN

 

For p=∞, let's recall the definitions:

  • For (N,Ω,μN), ∥h∥L∞(N)=inf{C≥0:|h(y)|≤C for μN-a.e. y∈N}.

  • For (M,Σ,μM), ∥h∘f∥L∞(M)=inf{C≥0:|h(f(x))|≤C for μM-a.e. x∈M}.

Fix a constant C and let Eh={x∈N:h(x)>C}, then Eh∘f={x∈M:h∘f(x)>C}=f−1(Eh).

If μN(Eh)=0, then μM(Eh∘f)=μM(f−1(Eh))≤KμN(Eh)=0. Hence if |h(y)|≤C almost everywhere, then |h∘f(x)|≤C almost everywhere. Hence ∥h∥N≥∥h∘f∥M.

Hence indeed, L∞(f) is not only bounded but also contraction map! Therefore, Lp:M→Ban for p<∞, and L∞:M→Ban1. Easy to see that Lp(id)=id and Lp(f∘g)=Lp(g)∘Lp(f). Hence Lp is a functor. ◻

M is cocomplete

To prove a category is cocomplete, we only need to prove the existence of coproduction and coequalizer.

Lemma. The coproduct exists in M.

Proof. First let us prove that the empty coproduct exits, i.e. the initial object exists.

Let us consider (∅,∅,0). Since ∅ is the initial object in Set, for any measure space (M,Σ,μ) we have a unique f:∅→M.

Easy to see it is measurable and f∗0=0(f−1(X))=0≤μM(X). Hence it is the initial object.

Now let us prove the binary product exits. Let (M,Σ,μM),(N,Ω,μN) be two measure spaces.

The coproduct of M and N is (M∐N,Σ+Ω,μM∐N), here Σ+Ω is the greatest sigma algebra make iM,iN measurable and

μM∐N(X)=μM(X∩M)+μN(X∩N)

We prove it is the coproduct.

Easy to see that iM,iN are morphisms in M.

Let hM:M→Z,hN:N→Z be two morphisms in M, i.e. two measurable functions such that μM(hM−1(V))≤KμZ(V) and μN(hN−1(V))≤K′μZ(V).

then we have a unique function g=hM∐hN:M∐N→Z.

It is measurable, since g−1(V)=hM−1(V)∪hN−1(V).

Also, g∗μM∐N(V)=μM(hM−1(V))+μN(hN−1(V))≤KμZ(V)+K′μZ(V)=(K+K′)μZ(V), hence we verify that the coproduction exists. ◻

Lemma. The coequalizer exists in M.

Proof. Let f,g:(M,Σ,μM)→(N,Ω,μN) be two measurebale functions such that f∗μM≤KμN,g∗μM≤K′μN.

We take π:N→Q to be the coequalizer in Set, and take the sigma algebra on Q to be ΣQ={A⊂Q∣π−1(A)∈ΣN}.

Let μQ:=π∗μN. Let us check the universal property of (Q,Σ,μQ). Let h:N→Z be a morphism such that h∘f=h∘g, then it is uniquely passing through Q by the universal property in Set, h=k∘π. By the definition of ΣQ, k is measurable.

Now we need to check that k∗μQ≤KμZ. That is follows from

μQ(k−1(X))=μN(π−1k−1(X))=μN(h−1(X))=h∗μN(X)≤KμZ(X)◻

Hence M is cocomplete.

Lp functor maps colimit to limit.

We only need to check that Lp(−) maps coproduct to product and coequalizer to equalizer.

Lemma. Lp(X∐Y)≅Lp(X)×Lp(Y).

Proof. For f:X→Z,g:Y→Z and X→iXX∐Y←iYY, we have Lp(f):Lp(Z)→Lp(X),Lp(g):Lp(Z)→Lp(Y)

and

Lp(X)←Lp(iX)Lp(X∐Y)→Lp(iY)Lp(Y)

By universal property of product, we have Φ:Lp(X∐Y)→Lp(X)×Lp(Y).

image-20250516185552947

Such that Φ(u)=(iX∗(u),iY∗(u)), the inverse map is defined by Ψ(a,b)={a(t):t∈Xb(t):t∈Y ◻

Lemma. Lp functor maps coequalizer to equalizer.

Proof. Let h:N→Z coequalize f and g, then f∗∘h∗=g∗∘h∗, i.e. h∗ equalize f∗ and g∗. Now we need to prove that

image-20250516192518352

(Lp(Q),π∗) is isomorphic to the equalizer.

By the universal property of equalizer, we have a unique map u:Lp(Q)→Eq(f∗,g∗). If we take Eq(f∗,g∗) to be the kernel of f∗−g∗, then u=π∗.

Let h∈Lp(N) such that f∗(h)=h∘f=h∘g=g∗(h). Then h=h′∘π=π∗(h′) by the universal property of coequalizer.

Hence π∗:Lp(Q)→ker(f∗−g∗) is surjective. ◻

Therefore, Lp maps colimit to limit.

A short exact sequence.

Let (M,Σ,μM) be a measure space, X∈Σ then we have the following split short exact sequence.

0→Lp(X)→iLp(M)≅Lp(X)⊕Lp(Xc)→πLp(Xc)⟶0

Since we have M≅X∐Xc.

The deep structure hidden under the short exaxt sequence

Key observation. Notice that each sigma algebra is a Boolean ring (Σ,Δ,∩), hence a F2 algebra, thus a F2 vector space.

We could define a functor F:Measop→F2-Mod as follows.

For a measurable space (M,Σ), F(M,Σ)=VΣ=Σ. For a measurable function f:(M,Σ)→(N,Ω), we define F(f)=f−1.

Easy to see that f−1:VΩ→VΣ is a F2 linear map.

Let X∈Σ, we could define a sub sigma algebra on X, VX={A∈Σ:A⊆X}.

The coproduct X⊔Xc correspond to VX⊕VY.

We also have the short exact sequence

0⟶VX→iVM≅VX⊕VXc→πVXc⟶0

 

 

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