Functional Analysis Lecture 11

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Lecture Notes: Rodriguez, page 53

2. Lebesgue Measure and Integration

Lebesgue Integral of nonnegative functions

Recall from last time

L+ functions

If ER is measurable, the class of nonnegative measurable functions on E is given as
L+(E)={f:E[0,]|f is measurable}

Lebesgue integral (for simple nonnegative measurable functions)

Let ϕL+(E) be a simple, nonnegative measurable function such that ϕ=i=1naj1Ai where AiAj= for all i,j and i=1nAi=E. Then the Lebesgue integral of ϕ is
Eϕ=i=1naim(Ai)[0,]

Now, for general nonnegative measurable functions we have

Lebesgue integral (for general nonnegative measurable functions)

If fL+(E), the Lebesgue integral of f is

Ef=sup{Eφ:φL+(E) simple, φf}
Theorem

If ER is a set with m(E)=0, then for all fL+(E) we have Ef=0

ie it is only interesting to take integrals over functions with positive measure

Proof

From the definition, we have fL+(E). If φ is a simple function such that φ=i=1naiχAi and φf, then m(Ai)m(A)=0. So in the sum, all terms must be 0. Thus we always have Eφ=0 and the supremum over all such φ is also 0.

see it is only interesting to take integrals of functions with positive measure

Note

  1. if φL+(E) is a simple function, then the two definitions of Eφ agree
  2. If f,gL+(E), c[0,], and fg on E then
  • Ecf=cEf
  • EfEg
  1. If fL+(E) and FE is measurable, then
  • Ff=EfχFEf

Theorem

If f,gL+(E) and fg almost everywhere on E then

EfEg
Proof

Let F={xE:f(x)g(x)}.

Ef=Ff+Fcf0=FfFg+Fcg=Eg

See function relations almost everywhere hold in the integral

Monotone Convergence Theorem

If {fn}n is a sequence in L+(E) (nonnegative and measurable) such that f1f2 and fnf pointwise on E, then

limnEfn=Ef
Note

Pointwise convergence is much weather than uniform convergence required for Reimann integration

Proof

Since f1f2, we have that Ef1Ef2 (since function relations almost everywhere hold in the integral). Thus {Efn}n is an increasing sequence on nonnegative numbers. Thus limnEfn[0,].

And since limnfn(x)=f(x) for all xE, we know f1f2f

Thus for all n, we have

n,EfnEflimnEfnEf

Thus to show equality, we have need to show EflimnEfn.

Now, let φL+(E) be simple ie φ=i=1maiχAi with φf. Let ϵ(0,1). and define

En={xE|fn(x)(1ϵ)φ(x)}

Note that for all x, we then have (1ϵ)φ(x)<f(x). And since limnfn(x)=f, every x must lie in some En. Thus nEn=E

Then we have

EfnEnfnEn(1ϵ)φ=(1ϵ)Eφ=(1ϵ)i=1maim(AiEn)

And since E1AiE2Ai and n(EnAi)=Ai, this implies that

m(AiEn)m(Ai) as n

Thus

limnEfnlimn(1ϵ)i=1maim(AiEn)=(1ϵ)i=1maim(Ai)=(1ϵ)Eφ

Thus for all ϵ(0,1) we have

(1ϵ)EφlimnEfnϵ0EφlimnEfn=Ef

(see Monotone Convergence Theorem)

Theorem

Let fL+(E) and let {φn}n be a sequence of simple functions such that

0φ1φ2f

with φnf pointwise. Then

Ef=limnEφn

ie, we can take any pointwise increasing sequence of simple functions and compute the limit (instead of needed to compute the supremum)

Proof

We can just plug the φn in to the Monotone Convergence Theorem

Theorem

If f,gL+(E) then

E(f+g)=Ef+Eg
Proof

Let {φn}n and {ψn}n be two sequences of simple functions such that
0φ1φ2f with φnf and
oψ1ψ2g with ψng pointwise then

0φ1+ψ1φ2+ψ2f+g

Where φn+ψnf+g pointwise and each φi+ψi are simple (since they are the sum of simple functions). So by the Monotone Convergence Theorem and linearity for simple functions we have

E(f+g)=limnE(φn+ψn)(linearity)=limnEφn+Eψn(MTC)=Ef+Eg

See lebesgue integral of sum is sum of the integral

Theorem

Let {fn}n be a sequence in L+(E). Then

Enfn=nEfn
Proof

via induction. Since the lebesgue integral of sum is sum of the integral, we know for each NN that

En=1Nfn=n=1NEfn

And since

n=11fnn=12fn

and n=1Nfnn=1fn as N, by the Monotone Convergence Theorem we have

En=1=limNEn=1Nfn=limNn=1NEfn=n=1Efn

see integral of sum of a sequence is sum of the integrals

Note

this does not hold for Riemann integration. Enumerate the rationals and let fn be the function that is 1 for the first n rational numbers and 0 everywhere else

Theorem

Let fL+(E). Then Ef=0f=0 almost everywhere on E

Proof

()

If f=0 almost everywhere

0EfE0=0
()

Let

Fn={xE:f(x)>1n},F={xE:f(x)>0}

Then F=nFn and F1F2 and for all n

01nm(Fn)=Fn1nFnfEf=0

Then 1nm(Fn)=0m(Fn)=0 for all n. But then by continuity of measure, we have

m(F)=m(n=1Fn)=limnm(Fn)=0

see integral is 0 if and only if the function is 0 almost everywhere

Theorem

If {fn}n is a sequence in L+(E) such that f1(x)f2(x) for almost all xE and

(){f1(x)f2(x)f3(x)limnfn(x)=f(x)

Then

Ef=limnEfn
Proof

Let

F={xE|() holds}

Then m(EF)=0 by assumption. Thus fχFf=0 a.e. and fnχFfn=0 a.e. also. Then the Monotone Convergence Theorem says

Ef=EfχF=Ff=limnFfn

Where the first equality holds since function relations almost everywhere hold in the integral and the last holds by the Monotone Convergence Theorem. This then becomes

limnFfn=limnEfn

Because m(EF)=0 and so any integral over the region is 0.

ie, sets of measure zero do not affect the Lebesgue Integral.

see sets of measure zero do not affect the integral

Theorem (Fatou's Lemma)

Let {fn}n be a sequence in L+(E). Then

Elimninffn(x)dxlimninffn(x)dx
Recall

limninfan=supn1[infknak]

And the limninf function is defined pointwise

Proof

We have

limninffn(x)=supn1[infknfk(x)]=limn[infknfk(x)]

And since infk1fk(x)infk2fk by the MCT we have

Elimninffn=limnEinfknfk

For all jn and all xE, we have

infknfk(x)fj(x)EinfknfkEfjElimninffn=limnE(infknfk)limn[infjnEfj]=limninfEfn

So we have "swapped the integral and inf" and we can plug this into the MCT to get the desired result.

see Fatou's Lemma

Theorem

Let fL+(E) and let Ef<. Then the set

F={xE:f(x)=}

must have measure 0.

Proof

We know for all nN we have

nχFfχF

So integrating both sides gives us

nm(F)EfχFEf

Thus for all n, we have m(F)1nEf. Taking n, we have m(F)=0.

see functions with finite integrals map a measure zero set to infinity

Next things:

Created 2025-07-01 ֍ Last Modified 2025-09-11