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9.4: Convergence of Parametrized Integrals and Functions

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

I. We now consider C-integrals of the form

Cf(t,u)dm(t),

where m is Lebesgue or LS measure in E1. Here the variable u, called a parameter, remains fixed in the process of integration; but the end result depends on u, of course.

We assume f:E2E (E complete) even if not stated explicitly. As before, we give our definitions and theorems for the case

Ca.

The other cases (Ca,Cba, etc. ) are analogous; they are treated in Problems 2 and 3. We assume

a,b,c,x,t,u,vE1

throughout, and write "dt" for "dm(t)" iff m is Lebesgue measure.

If

Caf(t,u)dm(t)

converges for each u in a set BE1, we can define a map F:BE by

F(u)=Caf(t,u)dm(t)=limxxaf(t,u)dm(t).

This means that

(uB)(ε>0)(b>a)(xb)|xaf(t,u)dm(t)F(u)|<ε,

so |F|< on B.

Here b depends on both ε and u (convergence is "pointwise"). However, it may occur that one and the same b fits all uB, so that b depends on ε alone. We then say that

Caf(t,u)dm(t)

converges uniformly on B (i.e., for uB), and write

F(u)=Caf(t,u)dm(t) (uniformly) on B.

Explicitly, this means that

(ε>0)(b>a)(uB)(xb)|xaf(t,u)dm(t)F(u)|<ε.

Clearly, this implies (1), but not conversely. We now obtain the following.

Theorem 9.4.1 (Cauchy criterion)

Suppose

xaf(t,u)dm(t)

exists for xa and uBE1. (This is automatic if EE; see Chapter 8, §5.)

Then

Caf(t,u)dm(t)

converges uniformly on B iff for every ε>0, there is b>a such that

(v,x[b,))(uB)|xvf(t,u)dm(t)|<ε,

and

|baf(t,u)dm(t)|<.

Proof

The necessity of (3) follows as in Theorem 2 of §3. (Verify!)

To prove sufficiency, suppose the desired b exists for every ε>0. Then for each (fixed) uB,

Caf(t,u)dm(t)

satisfies Theorem 2 of §3. Hence

F(u)=limxxaf(t,u)dm(t)±

exists for every uB (pointwise). Now, from (3), writing briefly f for f(t,u)dm(t), we obtain

|xvf|=|xafvaf|<ε

for all uB and all x>vb.

Making x (with u and v temporarily fixed), we have by (4) that

|F(u)vaf|ε

whenever vb.

But by our assumption, b depends on ε alone (not on u). Thus unfixing u, we see that (5) establishes the uniform convergence of

af,

as required.

Corollary 9.4.1

Under the assumptions of Theorem 1,

Caf(t,u)dm(t)

converges uniformly on B if

Ca|f(t,u)|dm(t)

does.

Indeed,

|xvf|xv|f|<ε.

Corollary 9.4.2 (comparison test)

Let f:E2E and M:E2E satisfy

|f(t,u)|M(t,u)

for uBE1 and ta.

Then

Ca|f(t,u)|dm(t)

converges uniformly on B if

CaM(t,u)dm(t)

does.

Indeed, Theorem 1 applies, with

|xvf|xvM<ε.

Hence we have the following corollary.

Corollary 9.4.3 ("M-test")

Let f:E2E and M:E1E satisfy

|f(t,u)|M(t)

for uBE1 and ta. Suppose

CaM(t)dm(t)

converges. Then

Ca|f(t,u)|dm(t)

converges (uniformly) on B. So does

Caf(t,u)dm(t)

by Corollary 1.

Proof

Set

h(t,u)=M(t)|f(t,u)|.

Then Corollary 2 applies (with M replaced by h there). Indeed, the convergence of

Ch=CM

is trivially "uniform" for uB, since M does not depend on u at all.

Note 1. Observe also that, if h(t,u) does not depend on u, then the (pointwise) and (uniform) convergence of Ch are trivially equivalent.

We also have the following result.

Corollary 9.4.4

Suppose

Caf(t,u)dm(t)

converges (pointwise) on BE1. Then this convergence is uniform iff

limνCvf(t,u)dm(t)=0 (uniformly) on B,

i.e., iff

(ε>0)(b>a)(uB)(vb)|Cvf(t,u)dm(t)|<ε.

Proof

The proof (based on Theorem 1) is left to the reader, along with that of the following corollary.

Corollary 9.4.5

Suppose

baf(t,u)dm(t)±

exists for each uBE1.

Then

Caf(t,u)dm(t)

converges (uniformly) on B iff

Cbf(t,u)dm(t)

does.

II. The Abel-Dirichlet tests for uniform convergence of series (Problems 9 and 11 in Chapter 4, §13) have various analogues for C-integrals. We give two of them, using the second law of the mean (Corollary 5 in §1).

First, however, we generalize our definitions, "unstarring" some ideas of Chapter 4, §11. Specifically, given

H:E2E (E complete),

we say that H(x,y) converges to F(y), uniformly on B, as xq(qE), and write

limxqH(x,y)=F(y) (uniformly) on B

iff we have

(ε>0)(G¬q)(yB)(xG¬q)|H(x,y)F(y)|<ε;

hence |F|< on B.

If here q=, the deleted globe G¬q has the form (b,). Thus if

H(x,u)=xaf(t,u)dt,

(6) turns into (2) as a special case. If (6) holds with "(G¬q)" and "(yB)" interchanged, as in (1), convergence is pointwise only.

As in Chapter 8, §8, we denote by f(,y), or fy, the function of x alone (on E1) given by

fy(x)=f(x,y).

Similarly,

fx(y)=f(x,y).

Of course, we may replace f(x,y) by f(t,u) or H(t,u), etc.

We use Lebesgue measure in Theorems 2 and 3 below.

Theorem 9.4.2

Assume f,g:E2E1 satisfy

(i) Cag(t,u)dt converges (uniformly) on B;

(ii) each gu(uB) is L-measurable on A=[a,);

(iii) each fu(uB) is monotone ( or ) on A; and

(iv) |f|<KE1 (bounded) on A×B.

Then

Caf(t,u)g(t,u)dt

converges uniformly on B.

Proof

Given ε>0, use assumption (i) and Theorem 1 to choose b>a so that

|Lxvg(t,u)dt|<ε2K,

written briefly as

\left|L \int_{v}^{x} g^{u}\right|<\frac{\varepsilon}{2 K},

for all u \in B and x>v \geq b, with K as in (iv).

Hence by (ii), each g^{u}(u \in B) is L-integrable on any interval [v, x] \subset A, with x>v \geq b. Thus given such u and [v, x], we can use (iii) and Corollary 5 from §1 to find that

L \int_{v}^{x} f^{u} g^{u}=f^{u}(v) L \int_{v}^{c} g^{u}+f^{u}(x) L \int_{c}^{x} g^{u}

for some c \in[v, x].

Combining with (7) and using (iv), we easily obtain

\left|L \int_{v}^{x} f(t, u) g(t, u) d t\right|<\varepsilon

whenever u \in B and x>v \geq b. (Verify!)

Our assertion now follows by Theorem 1.\quad \square

Theorem \PageIndex{3} (Abel-Dirichlet test)

Let f, g : E^{2} \rightarrow E^{*} satisfy

(a) \lim _{t \rightarrow \infty} f(t, u)=0 (uniformly) for u \in B;

(b) each f^{u}(u \in B) is nonincreasing (\downarrow) on A=[0, \infty);

(c) each g^{u}(u \in B) is L-measurable on A; and

(d) \left(\exists K \in E^{1}\right)(\forall x \in A)(\forall u \in B)\left|L \int_{a}^{x} g(t, u) d t\right|<K.

Then

C \int_{a}^{\infty} f(t, u) g(t, u) d t

converges uniformly on B.

Proof Outline

Argue as in Problem 13 of §3, replacing Theorem 2 in §3 by Theorem 1 of the present section.

By Lemma 2 in §1, obtain

\left|L \int_{v}^{x} f^{u} g^{u}\right|=\left|f^{u}(v) L \int_{a}^{x} g^{u}\right| \leq K f(v, u)

for u \in B and x>v \geq a.

Then use assumption (a) to fix k so that

|f(t, u)|<\frac{\varepsilon}{2 K}

for t>k and u \in B. \quad \square

Note 2. Via components, Theorems 2 and 3 extend to the case g : E^{2} \rightarrow E^{n}\left(C^{n}\right).

Note 3. While Corollaries 2 and 3 apply to absolute convergence only, Theorems 2 and 3 cover conditional convergence, too (a great advantage!). The theorems also apply if f or g is independent of u (see Note 1). This supersedes Problems 13 and 14 in §3.

Examples

(A) The integral

\int_{0}^{\infty} \frac{\sin t u}{t} d t

converges uniformly on B_{\delta}=[\delta, \infty) if \delta>0, and pointwise on B=[0, \infty).

Indeed, we can use Theorem 3, with

g(t, u)=\sin t u

and

f(t, u)=\frac{1}{t}, f(0, u)=1,

say. Then the limit

\lim _{t \rightarrow \infty} \frac{1}{t}=0

is trivially uniform for u \in B_{\delta}, as f is independent of u. Thus assumption (a) is satisfied. So is (d) because

\left|\int_{0}^{x} \sin t u d t\right|=\left|\frac{1}{u} \int_{0}^{x u} \sin \theta d \theta\right| \leq \frac{1}{\delta} \cdot 2.

(Explain!) The rest is easy.

Note that Theorem 2 fails here since assumption (i) is not satisfied.

(B) The integral

\int_{0}^{\infty} \frac{1}{t} e^{-t u} \sin a t d t

converges uniformly on B=[0, \infty). It does so absolutely on B_{\delta}=[\delta, \infty), if \delta>0.

Here we shall use Theorem 2 (though Theorem 3 works, too). Set

f(t, u)=e^{-t u}

and

g(t, u)=\frac{\sin a t}{t}, g(0, u)=a.

Then

\int_{0}^{\infty} g(t, u) d t

converges (substitute x=a t in Problem 8 or 15 in §3). Convergence is trivially uniform, by Note 1. Thus assumption (i) holds, and so do the other assumptions. Hence the result.

For absolute convergence on B_{\delta}, use Corollary 3 with

M(t)=e^{-\delta t},

so M \geq|f g|.

Note that, quite similarly, one treats C-integrals of the form

\int_{a}^{\infty} e^{-t u} g(t) d t, \int_{a}^{\infty} e^{-t^{2} u} g(t) d t, \text { etc.,}

provided

\int_{a}^{\infty} g(t) d t

converges (a \geq 0).

In fact, Theorem 2 states (roughly) that the uniform convergence of C \int g implies that of C \int f g, provided f is monotone (in t) and bounded.

III. We conclude with some theorems on uniform convergence of functions H : E^{2} \rightarrow E (see (6)). In Theorem 4, m is again an LS (or Lebesgue) measure in E^{1}; the deleted globe G_{\neg q}^{*} is fixed.

Theorem \PageIndex{4}

Suppose

\lim _{x \rightarrow q} H(x, y)=F(y) \text { (uniformly)}

for y \in B \subseteq E^{1}. Then we have the following:

(i) If all H_{x}\left(x \in G_{\neg q}^{*}\right) are continuous or m-measurable on B, so also is F.

(ii) The same applies to m-integrability on B, provided m B<\infty; and then

\lim _{x \rightarrow q} \int_{B}\left|H_{x}-F\right|=0;

hence

\lim _{x \rightarrow q} \int_{B} H_{x}=\int_{B} F=\int_{B}\left(\lim _{x \rightarrow q} H_{x}\right).

Formula (8') is known as the rule of passage to the limit under the integral sign.

Proof

(i) Fix a sequence x_{k} \rightarrow q (x_{k} in the deleted globe G_{\neg q}^{*}), and set

H_{k}=H_{x_{k}} \quad(k=1,2, \ldots).

The uniform convergence

H(x, y) \rightarrow F(y)

is preserved as x runs over that sequence (see Problem 4). Hence if all H_{k} are continuous or measurable, so is F (Theorem 2 in Chapter 4, §12 and Theorem 4 in Chapter 8, §1. Thus clause (i) is proved.

(ii) Now let all H_{x} be m-integrable on B; let

m B<\infty.

Then the H_{k} are m-measurable on B, and so is F, by (i). Also, by (6),

(\forall \varepsilon>0)\left(\exists G_{\neg q}\right)\left(\forall x \in G_{\neg q}\right) \quad \int_{B}\left|H_{x}-F\right| \leq \int_{B}(\varepsilon)=\varepsilon m B<\infty,

proving (8). Moreover, as

\int_{B}\left|H_{x}-F\right|<\infty,

H_{x}-F is m-integrable on B, and so is

F=H_{x}-\left(H_{x}-F\right).

Hence

\left|\int_{B} H_{x}-\int_{B} F\right|=\left|\int_{B}\left(H_{x}-F\right)\right| \leq \int_{B}\left|H_{x}-F\right| \rightarrow 0,

as x \rightarrow q, by (8). Thus (8') is proved, too.\quad \square

Quite similarly (keeping E complete and using sequences), we obtain the following result.

Theorem \PageIndex{5}

Suppose that

(i) all H_{x}\left(x \in G_{-q}^{*}\right) are continuous and finite on a finite interval B \subset E^{1}, and differentiable on B-Q, for a fixed countable set Q;

(ii) \lim _{x \rightarrow q} H\left(x, y_{0}\right) \neq \pm \infty exists for some y_{0} \in B; and

(iii) \lim _{x \rightarrow q} D_{2} H(x, y)=f(y) (uniformly) exists on B-Q.

Then f, so defined, has a primitive F on B, exact on B-Q (so F^{\prime}=f on B-Q); moreover,

F(y)=\lim _{x \rightarrow y} H(x, y) \text { (uniformly) for } y \in B.

Outline of Proof

Note that

D_{2} H(x, y)=\frac{d}{d y} H_{x}(y).

Use Theorem 1 of Chapter 5, §9, with F_{n}=H_{x_{n}}, x_{n} \rightarrow q. \quad \square

Note 4. If x \rightarrow q over a path P (clustering at q), one must replace G_{\neg q} and G_{\neg q}^{*} by P \cap G_{\neg q} and P \cap G_{\neg q}^{*} in (6) and in Theorems 4 and 5.


9.4: Convergence of Parametrized Integrals and Functions is shared under a CC BY license and was authored, remixed, and/or curated by LibreTexts.

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