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) x∈A, 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 B⊆A. Then we can define a function f:B→T by setting
f(x)=limm→∞fm(x) for all x∈B.
This means that
(∀ε>0)(∀x∈B)(∃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)(∀x∈B)(∀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.
With the above notation, we call f the pointwise limit of a sequence of functions fm on a set B(B⊆A) iff
f(x)=limm→∞fm(x) for all x in B;
i.e., formula (1) holds. We then write
fm→f(pointwise) on B.
In case (2), we call the limit uniform (on B) and write
fm→f(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
(∀x∈A)(∀m)sm(x)=m∑k=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.
The series ∑fm on A is said to converge (pointwise or uniformly) to a function f on a set B⊆A 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 x∈A.
If the range space is E1 or E∗, we also consider infinite limits,
limm→∞fm(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′).
Given a sequence of functions fm:A→(T,ρ′), let B⊆A and
Qm=supx∈Bρ′(fm(x),f(x)).
Then fm→f(uniformly on B) iff Qm→0.
- Proof
-
If Qm→0, then by definition
(∀ε>0)(∃k)(∀m>k)Qm<ε.
However, Qm is an upper bound of all distances ρ′(fm(x),f(x)),x∈B. Hence (2) follows.
Conversely, if
(∀x∈B)ρ′(fm(x),f(x))<ε,
then
ε≥supx∈Bρ′(fm(x),f(x)),
i.e., Qm≤ε. Thus (2) implies
(∀ε>0)(∃k)(∀m>k)Qm≤ε
and Qm→0. ◻
(a) We have
limn→∞xn=0 if |x|<1 and limn→∞xn=1 if x=1.
Thus, setting fn(x)=xn, consider B=[0,1] and C=[0,1).
We have fn→0 (pointwise) on C and fn→f( pointwise ) on B, with f(x)=0 for x∈C and f(1)=1. However, the limit is not uniform on C, let alone on B. Indeed,
Qn=supx∈C|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 fn→f (uniformly) on D because, in this case,
Qn=supx∈D|fn(x)−f(x)|=supx∈D|xn−0|=an→0.
(c) Let
fn(x)=x2+sinnxn,x∈E1.
For a fixed x,
limn→∞fn(x)=x2 since |sinnxn|≤1n→0.
Thus, setting f(x)=x2, we have fn→f (pointwise) on E1. Also,
|fn(x)−f(x)|=|sinnxn|≤1n.
Thus (∀n)Qn≤1n→0. By Theorem 1, the limit is uniform on all of E1.
Let fm:A→(T,ρ′) be a sequence of functions on A⊆(S,ρ). If fm→f(uniformly on a set B⊆A, 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 fm→f (uniformly) on B, there is a k such that
(∀x∈B)(∀m≥k)ρ′(fm(x),f(x))<ε4.
Take any fm with m>k, and take any p∈B. By continuity, there is δ>0, with
(∀x∈B∩Gp(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 (∀x∈B∩Gp(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 p∈B,
(∀ε>0)(∃δ>0)(∀x∈B∩Gp(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 fm→f (uniformly) on B, and if the fm are relatively continuous at a point p∈B, so also is f.
Let (T,ρ′) be complete. Then a sequence fm:A→T,A⊆(S,ρ), converges uniformly on a set B⊆A iff
(∀ε>0)(∃k)(∀x∈B)(∀m,n>k)ρ′(fm(x),fn(x))<ε.
- Proof
-
If (5) holds then, for any (fixed) x∈B,{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:B→T with
f(x)=limm→∞fm(x) on B.
To show that fm→f (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)|=|n∑k=1fk(x)−m∑k=1fk(x)|=|n∑k=m+1fk(x)| for m<n.
Replacing here m by m−1 and applying Theorem 3 to the sequence {sm}, we obtain the following result.
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)(∀x∈B)|n∑k=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.
Let
f=∞∑m=1fm(pointwise) on B.
Let m1<m2<⋯<mn<⋯ in N, and define
g1=sm1,gn=smn−smn−1,n>1.
(Thus gn+1=fmn+1+⋯+fmn+1.) Then
f=∞∑n=1gn(pointwise) on B as well;
similarly for uniform convergence.
- Proof
-
Let
s′n=n∑k=1gk,n=1,2,…
Then s′n=smn (verify!), so {s′n} is a subsequence, {smn}, of {sm}. Hence sm→f( pointwise ) implies s′n→f (pointwise); i.e.,
f=∞∑n=1gn (pointwise).
For uniform convergence, see Problem 13 (cf. also Problem 19). ◻