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4.12: Sequences and Series of Functions

This page is a draft and is under active development. 

( \newcommand{\kernel}{\mathrm{null}\,}\)

I. Let

f1,f2,,fm,

be a sequence of mappings from a common domain A into a metric space (T,ρ). For each (fixed) xA, the function values

f1(x),f2(x),,fm(x),

form a sequence of points in the range space (T,ρ). Suppose this sequence converges for each x in a set BA. Then we can define a function f:BT by setting

f(x)=limmfm(x) for all xB.

This means that

(ε>0)(xB)(k)(m>k)ρ(fm(x),f(x))<ε.

Here k depends not only on ε but also on x, since each x yields a different sequence {fm(x)}. However, in some cases (resembling uniform continuity), k depends on ε only; i.e., given ε>0, one and the same k fits all x in B. In symbols, this is indicated by changing the order of quantifiers, namely,

(ε>0)(k)(xB)(m>k)ρ(fm(x),f(x))<ε.

Of course, (2) implies (1), but the converse fails (see examples below). This suggests the following definitions.

Definition 1

With the above notation, we call f the pointwise limit of a sequence of functions fm on a set B(BA) iff

f(x)=limmfm(x) for all x in B;

i.e., formula (1) holds. We then write

fmf(pointwise) on B.

In case (2), we call the limit uniform (on B) and write

fmf(uniformly) on B.

II. If the fm are real, complex, or vector valued (§3), we can also define sm=mk=1fk (= sum of the first m functions) for each m, so

(xA)(m)sm(x)=mk=1fk(x).

The sm form a new sequence of functions on A. The pair of sequences

({fm},{sm})

is called the (infinite) series with general term fm;sm is called its m th partial sum. The series is often denoted by symbols like fm,fm(x), etc.

Definition 2

The series fm on A is said to converge (pointwise or uniformly) to a function f on a set BA iff the sequence {sm} of its partial sums does as well.

We then call f the sum of the series and write

f(x)=k=1fk(x) or f=m=1fm=limsm

(pointwise or uniformly) on B.

Note that series of constants, cm, may be treated as series of constant functions fm, with fm(x)=cm for xA.

If the range space is E1 or E, we also consider infinite limits,

limmfm(x)=±.

However, a series for which

m=1fm=limsm

is infinite for some x is regarded as divergent (i.e., not convergent) at that x.

III. Since convergence of series reduces to that of sequences {sm}, we shall first of all consider sequences. The following is a simple and useful test for uniform convergence of sequences fm:A(T,ρ).

Theorem 4.12.1

Given a sequence of functions fm:A(T,ρ), let BA and

Qm=supxBρ(fm(x),f(x)).

Then fmf(uniformly on B) iff Qm0.

Proof

If Qm0, then by definition

(ε>0)(k)(m>k)Qm<ε.

However, Qm is an upper bound of all distances ρ(fm(x),f(x)),xB. Hence (2) follows.

Conversely, if

(xB)ρ(fm(x),f(x))<ε,

then

εsupxBρ(fm(x),f(x)),

i.e., Qmε. Thus (2) implies

(ε>0)(k)(m>k)Qmε

and Qm0.

Examples

(a) We have

limnxn=0 if |x|<1 and limnxn=1 if x=1.

Thus, setting fn(x)=xn, consider B=[0,1] and C=[0,1).

We have fn0 (pointwise) on C and fnf( pointwise ) on B, with f(x)=0 for xC and f(1)=1. However, the limit is not uniform on C, let alone on B. Indeed,

Qn=supxC|fn(x)f(x)|=1 for each n.

Thus Qn does not tend to 0, and uniform convergence fails by Theorem 1.

(b) In Example (a), let D=[0,a],0<a<1. Then fnf (uniformly) on D because, in this case,

Qn=supxD|fn(x)f(x)|=supxD|xn0|=an0.

(c) Let

fn(x)=x2+sinnxn,xE1.

For a fixed x,

limnfn(x)=x2 since |sinnxn|1n0.

Thus, setting f(x)=x2, we have fnf (pointwise) on E1. Also,

|fn(x)f(x)|=|sinnxn|1n.

Thus (n)Qn1n0. By Theorem 1, the limit is uniform on all of E1.

Theorem 4.12.2

Let fm:A(T,ρ) be a sequence of functions on A(S,ρ). If fmf(uniformly  on a set BA, and if the fm are relatively (or uniformly)  continuous on B, then the limit function f has the same property.

Proof

Fix ε>0. As fmf (uniformly) on B, there is a k such that

(xB)(mk)ρ(fm(x),f(x))<ε4.

Take any fm with m>k, and take any pB. By continuity, there is δ>0, with

(xBGp(δ))ρ(fm(x),fm(p))<ε4.

Also, setting x=p in (3) gives ρ(fm(p),f(p))<ε4. Combining this with (4) and (3), we obtain (xBGp(δ))

ρ(f(x),f(p))ρ(f(x),fm(x))+ρ(fm(x),fm(p))+ρ(fm(p),f(p))<ε4+ε4+ε4<ε.

We thus see that for pB,

(ε>0)(δ>0)(xBGp(δ))ρ(f(x),f(p))<ε,

i.e., f is relatively continuous at p( over B), as claimed.

Quite similarly, the reader will show that f is uniformly continuous if the fn are.

Note 2. A similar proof also shows that if fmf (uniformly) on B, and if the fm are relatively continuous at a point pB, so also is f.

Theorem 4.12.3 (Cauchy criterion for uniform convergence)

Let (T,ρ) be complete. Then a sequence fm:AT,A(S,ρ), converges uniformly on a set BA iff

(ε>0)(k)(xB)(m,n>k)ρ(fm(x),fn(x))<ε.

Proof

If (5) holds then, for any (fixed) xB,{fm(x)} is a Cauchy sequence of points in T, so by the assumed completeness of T, it has a limit f(x). Thus we can define a function f:BT with

f(x)=limmfm(x) on B.

To show that fmf (uniformly) on B, we use (5) again. Keeping ε,k, x, and m temporarily fixed, we let n so that fn(x)f(x). Then by Theorem 4 of Chapter 3, §15, ρ(fm(x),fn(x))p(f(x),fm(x)). Passing to the limit in (5), we thus obtain (2).

The easy proof of the converse is left to the reader (cf. Chapter 3, §17, Theorem 1).

IV. If the range space (T,ρ) is E1,C, or En (*or another normed space), the standard metric applies. In particular, for series we have

ρ(sm(x),sn(x))=|sn(x)sm(x)|=|nk=1fk(x)mk=1fk(x)|=|nk=m+1fk(x)| for m<n.

Replacing here m by m1 and applying Theorem 3 to the sequence {sm}, we obtain the following result.

Theorem 4.12.3

Let the range space of fm,m=1,2,, be E1,C, or En (*or another complete normed space). Then the series fm converges uniformly on B iff

(ε>0)(q)(n>m>q)(xB)|nk=mfk(x)|<ε.

Similarly, via {sm}, Theorem 2 extends to series of functions. (Observe that the sm are continuous if the fm are.) Formulate it!

V. If m=1fm exists on B, one may arbitrarily "group" the terms, i.e., replace every several consecutive terms by their sum. This property is stated more precisely in the following theorem.

Theorem 4.12.4

Let

f=m=1fm(pointwise) on B.

Let m1<m2<<mn< in N, and define

g1=sm1,gn=smnsmn1,n>1.

(Thus gn+1=fmn+1++fmn+1.) Then

f=n=1gn(pointwise) on B as well; 

similarly for uniform convergence.

Proof

Let

sn=nk=1gk,n=1,2,

Then sn=smn (verify!), so {sn} is a subsequence, {smn}, of {sm}. Hence smf( pointwise ) implies snf (pointwise); i.e.,

f=n=1gn (pointwise). 

For uniform convergence, see Problem 13 (cf. also Problem 19).


This page titled 4.12: Sequences and Series of Functions is shared under a CC BY 3.0 license and was authored, remixed, and/or curated by Elias Zakon (The Trilla Group (support by Saylor Foundation)) via source content that was edited to the style and standards of the LibreTexts platform.

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