Measure Theory (XII): Product Measures
20 Nov 2018
In this post, we describe the construction of a measure on the product of two measure spaces. We also relate integration in the product measure to the double integral over each measure space, in the form of Fubini’s theorem and Tonelli’s theorem.
Product measures
Let (Ω1,Σ1,μ1) and (Ω2,Σ2,μ2) be measure spaces. The family of measurable rectangles on Ω1×Ω2 is
R:={A1×A2:A1∈Σ1,A2∈Σ2}.
We now apply the Carathéodory construction on the function μ0:R→[0,∞] given by
μ0(A1×A2)=μ1(A1)μ2(A2),
obtaining first an outer measure μ∗:P(Ω1×Ω2)→[0,∞] by
μ∗(A)=inf{n=1∑∞μ0(Rn):Rn∈R,A⊆n=1⋃∞Rn},
then a measure μ:Σ→[0,∞] by restricting μ∗ to the μ∗-measurable sets
Σ={A⊆Ω1×Ω2:μ∗(A∩S)+μ∗(Ac∩S)≤μ∗(S)for all S⊆Ω1×Ω2}.
The measure space (Ω1×Ω2,Σ,μ) is called the product measure space of (Ω1,Σ1,μ1) and (Ω2,Σ2,μ2), and μ is called the product measure of μ1 and μ2. This is sometimes written as μ=μ1×μ2.
Again, since the Carathéodory construction is rather indirect, some intuitive statements require some work to prove.
Proposition: R⊆Σ, ie. every measurable rectangle is μ-measurable. Moreover, μ(R)=μ0(R) for all R∈R.
Proof: It suffices to show that
μ∗(S)≥μ∗(S∩R)+μ∗(S∩Rc)
for all S⊆Ω1×Ω2.
Consider any covering (Rk)k=1∞ of S by measurable rectangles. Now if we write R=A×B and Rk=Ak×Bk, then we can write Rk as a disjoint union as follows:
Rk=(Rk∩R)∪(Rk∩Rc)=(Rk∩R)∪(Ak×(Bk\B))∪((Ak\A)×(Bk∩B))=Rk′∪Rk′′∪Rk′′′
(this is easiest to visualise with a picture). Hence (Rk′) and (Rk′′)∪(Rk′′′) are coverings of R∩S and Rc∩S by measurable rectangles, respectively.
Also, it is routine to check that μ0(Rk)=μ0(Rk′)+μ0(Rk′′)+μ0(Rk′′′). Hence
k=1∑∞μ0(Rk)=k=1∑∞μ0(Rk′)+k=1∑∞(μ0(Rk′′)+μ0(Rk′′′))≥μ∗(R∩S)+μ∗(Rc∩S).
Now taking infimum over all (Rk) gives
μ∗(S)≥μ∗(R∩S)+μ∗(Rc∩S),
as desired. □
Iterated integrals
We expect that the Lebesgue integral of a function on a product measure space should have the same value as the “iterated integral” along the coordinates. In these two sections, we will show that this principle holds with very few conditions.
For the rest of this post, let (Ω1,Σ1,μ1) and (Ω2,Σ2,μ2) be complete measure spaces (ie. subsets of null sets are null), and let (Ω1×Ω2,Σ,μ) be their product measure space.
We say that a function f:Ω1×Ω2→[−∞,∞] has property (F), and write f∈(F), if the following hold:
- f is μ-integrable;
-
the function f(ω1,−) is μ2-integrable for μ1-a.e. ω1∈Ω1; and
-
the function f(1):Ω1→(−∞,∞) defined by
f(1)(ω1)={∫Ω2f(ω1,ω2)dμ2,0,if the integral existsotherwise
is μ1-integrable, and
∫Ω1×Ω2fdμ=∫Ω1f(1)dμ1.
The last equation is usually written as
∫Ω1×Ω2fdμ=∫Ω1∫Ω2f(ω1,ω2)dμ2dμ1.
Our goal will be to prove that every μ-integrable function has property (F). As such, we will build up functions with property (F) step-by-step.
Lemma: Let R∈R be a measurable rectangle with μ(R)<∞. Then χR∈(F).
Proof: Clearly χR is μ-integrable. If R=A×B with A∈Σ1 and B∈Σ2, then
χR(1)(ω1)=∫Ω2f(ω1,ω2)dμ2={μ2(B),0,ω1∈Aelse.
Hence
∫Ω1×Ω2χRdμ=μ(R)=μ1(A)μ2(B)=∫Ω1χR(1)dμ1,
so χR satisfies (F). □
Lemma: If f,g∈(F) and c∈R, then cf,f+g∈(F).
Proof: Clearly cf, f+g are μ-integrable. Note that (cf)(1)=cf(1) holds on all of Ω1, and (f+g)(1)=f(1)+g(1) holds μ1-a.e. □
Lemma: Let 0≤f1≤f2≤⋯ be a sequence of μ-measurable functions, converging pointwise to f. If fn∈(F) for all n and supn∫fndμ<∞, then f∈(F).
Proof: By MCT, fn are μ-integrable imply that f is μ-integrable.
Note that for fixed n, fn(ω1,−) is μ2-measurable for all ω1 outside some μ1-null set Sn. Hence f(ω1,−) is μ2-measurable for all ω1 outside ⋃nSn, ie. for μ1-a.e. ω1.
For these ω1∈⋃nSn, we have by MCT that
f(1)(ω1)=∫Ω2f(ω1,ω2)dμ2=n→∞lim∫Ω2fn(ω1,ω2)dμ2=n→∞limfn(1)(ω1).
Since this holds μ1-a.e., we can integrate both sides and apply MCT again to get
∫Ω1f(1)dμ1=∫Ω1n→∞limfn(1)dμ1=n→∞lim∫Ω1fn(1)dμ1=n→∞lim∫Ω1×Ω2fndμ=∫Ω1×Ω2fdμ,
as desired. □
Lemma: Let f1≥f2≥⋯≥0 be a sequence of μ-measurable functions, converging pointwise to f. If fn∈(F) for all n, then f∈(F).
Proof: Note that (f1−fn) is an increasing sequence of nonnegative μ-integrable functions converging to f1−f, with
nsup∫Ω1×Ω2(f1−fn)dμ≤∫Ω1×Ω2f1dμ<∞.
Hence by the previous Lemma, we have f1−f∈(F), so f∈(F). □
Lemma: Let (Rn) be a sequence of measurable rectangles, and let F=⋃nRn. If μ(F)<∞, then χF∈(F).
Proof: Note that every finite union of measurable rectangles can be written as a finite disjoint union of measurable rectangles. Hence if FN=⋃n=1NRn, then χFN∈(F). Now (χFn) is an increasing sequence of nonnegative μ-measurable functions with limit χF, so we are done by the Lemma above. □
Lemma: Let E∈Σ be μ-null. Then χE∈(F).
Proof: For each n, there is a set Fn which is the union of countably many measurable rectangles, such that E⊆Fn and μ(Fn)<n1. By replacing Fn with ⋂k=1nFk, we may assume that F1⊇F2⊇⋯⊇E.
Let F=⋂nFn. By the previous Lemma, we have χFn∈(F), so χF∈(F). Hence for μ1-a.e. ω1, we have
∫Ω1χF(1)dμ1=∫Ω1×Ω2χFdμ=0
implies that
χF(1)(ω1)=∫Ω2χF(ω1,ω2)dμ2=0
for μ1-a.e. ω1. Now 0≤χE(ω1,−)≤χF(ω1,−), so completeness of μ2 yields
χE(1)(ω1)=∫Ω2χE(ω1,ω2)dμ2=0
on the same set of ω1. Hence
∫Ω1χE(1)dμ1=0=∫Ω1×Ω2χEdμ,
as desired. □
Lemma: Let E∈Σ satisfy μ(E)<∞. Then χE∈(F).
Proof: For each n, there is a set Fn which is the union of countably many measurable rectangles, such that E⊆Fn and μ(Fn)<μ(E)+n1. By replacing Fn with ⋂k=1nFk, we may assume that F1⊇F2⊇⋯⊇E.
Let F=⋂nFn. By the Lemma from previously, we have χFn∈(F), so χF∈(F). Also, the set G=F\E is μ-null, so χG∈(F). Thus χE=χF−χG∈(F). □
Fubini’s and Tonelli’s theorems
Fubini’s Theorem: Let f:Ω1×Ω2→[−∞,∞] be μ-integrable. Then f∈(F).
Proof: First note that it is sufficient to prove the statement for f≥0; for the general case, note that f=f+−f−, so f+,f−∈(F) imply f∈(F).
Take a sequence of step functions 0≤f1≤f2≤⋯ converging pointwise to f. Then fn≤f implies that fn is μ-integrable, so
fn=k=1∑mnan,kχEn,k
for some an,k>0 and En,k∈Σ with μ(En,k)<∞. By the previous Lemma, we have fn∈(F), so f∈(F), and we are done. □
Of course, by swapping the roles of Ω1 and Ω2, we also get
∫Ω1×Ω2fdμ=∫Ω1∫Ω2f(ω1,ω2)dμ2dμ1=∫Ω2∫Ω1f(ω1,ω2)dμ1dμ2.
The main problem when trying to apply Fubini’s theorem is that the function needs to be known to be integrable on the product measure beforehand. We show that this hypothesis can be replaced with nonnegativity of the function and σ-finiteness of the measure spaces.
Tonelli’s Theorem: Let (Ω1,Σ1,μ1) and (Ω2,Σ2,μ2) be complete measure spaces which are σ-finite (ie. countable unions of sets with finite measure), and let (Ω1×Ω2,Σ,μ) be their product measure space. If f≥0 is a μ-measurable function, then:
- the function f(ω1,−) is μ2-measurable for μ1-a.e. ω1∈Ω1; and
-
the function f(1):Ω1→(−∞,∞) defined by
f(1)(ω1)={∫Ω2f(ω1,ω2)dμ2,0,if the integral existsotherwise
is μ1-measurable, and
∫Ω1×Ω2fdμ=∫Ω1f(1)dμ1.
Proof: Take (An) in Σ1 such that μ1(An)<∞ and ⋃nAn=Ω1, and take (Bn) in Σ2 similarly. Then Rn=An×Bn∈R satisfy μ(Rn)<∞ and ⋃nRn=Ω1×Ω2.
Let fn=min(f,n)χRn. This is bounded above by nχRn, which is μ-integrable, so fn∈(F) by Fubini’s theorem. In particular, the two given conditions in the theorem hold with f replaced by fn.
Now 0≤f1≤f2≤⋯, with (fn)→f pointwise. If fn(ω1,−) is μ2-measurable for all ω1 outside of a μ1-null set Sn, then f(ω1,−) is μ2-measurable for all ω1 outside of the μ1-null set ⋃nSn.
Hence f(1)=limn→∞fn(1) μ1-a.e., so f(1) is μ1-measurable, and MCT gives
∫Ω1f(1)dμ1=n→∞lim∫Ω1fn(1)dμ1=n→∞lim∫Ω1×Ω2fndμ=∫Ω1×Ω2fdμ,
as desired. □
For arbitrary measurable functions f, we may apply Tonelli’s theorem to ∣f∣ to get μ-integrability, then apply Fubini’s theorem. This gives the following version:
Fubini–Tonelli Theorem: Let (Ω1,Σ1,μ1) and (Ω2,Σ2,μ2) be complete σ-finite measure spaces, and let (Ω1×Ω2,Σ,μ) be their product measure space. If f is a μ-measurable function such that any of the integrals
∫Ω1×Ω2∣f∣dμ,∫Ω1∫Ω2∣f(ω1,ω2)∣dμ2dμ1,∫Ω2∫Ω1∣f(ω1,ω2)∣dμ1dμ2
is finite, then
∫Ω1×Ω2fdμ=∫Ω1∫Ω2f(ω1,ω2)dμ2dμ1=∫Ω2∫Ω1f(ω1,ω2)dμ1dμ2. □
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