9.4: Convergence of Parametrized Integrals and Functions
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( \newcommand{\kernel}{\mathrm{null}\,}\)
I. We now consider C-integrals of the form
C∫f(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:E2→E (E complete) even if not stated explicitly. As before, we give our definitions and theorems for the case
C∫∞a.
The other cases (C∫a−∞,C∫b−a, etc. ) are analogous; they are treated in Problems 2 and 3. We assume
a,b,c,x,t,u,v∈E1
throughout, and write "dt" for "dm(t)" iff m is Lebesgue measure.
If
C∫∞af(t,u)dm(t)
converges for each u in a set B⊆E1, we can define a map F:B→E by
F(u)=C∫∞af(t,u)dm(t)=limx→∞∫xaf(t,u)dm(t).
This means that
(∀u∈B)(∀ε>0)(∃b>a)(∀x≥b)|∫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 u∈B, so that b depends on ε alone. We then say that
C∫∞af(t,u)dm(t)
converges uniformly on B (i.e., for u∈B), and write
F(u)=C∫∞af(t,u)dm(t) (uniformly) on B.
Explicitly, this means that
(∀ε>0)(∃b>a)(∀u∈B)(∀x≥b)|∫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 x≥a and u∈B⊆E1. (This is automatic if E⊆E∗; see Chapter 8, §5.)
Then
C∫∞af(t,u)dm(t)
converges uniformly on B iff for every ε>0, there is b>a such that
(∀v,x∈[b,∞))(∀u∈B)|∫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) u∈B,
C∫∞af(t,u)dm(t)
satisfies Theorem 2 of §3. Hence
F(u)=limx→∞∫xaf(t,u)dm(t)≠±∞
exists for every u∈B (pointwise). Now, from (3), writing briefly ∫f for ∫f(t,u)dm(t), we obtain
|∫xvf|=|∫xaf−∫vaf|<ε
for all u∈B and all x>v≥b.
Making x→∞ (with u and v temporarily fixed), we have by (4) that
|F(u)−∫vaf|≤ε
whenever v≥b.
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,
C∫∞af(t,u)dm(t)
converges uniformly on B if
C∫∞a|f(t,u)|dm(t)
does.
Indeed,
|∫xvf|≤∫xv|f|<ε.
Corollary 9.4.2 (comparison test)
Let f:E2→E and M:E2→E∗ satisfy
|f(t,u)|≤M(t,u)
for u∈B⊆E1 and t≥a.
Then
C∫∞a|f(t,u)|dm(t)
converges uniformly on B if
C∫∞aM(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:E2→E and M:E1→E∗ satisfy
|f(t,u)|≤M(t)
for u∈B⊆E1 and t≥a. Suppose
C∫∞aM(t)dm(t)
converges. Then
C∫∞a|f(t,u)|dm(t)
converges (uniformly) on B. So does
C∫∞af(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
C∫h=C∫M
is trivially "uniform" for u∈B, 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 C∫h are trivially equivalent.
We also have the following result.
Corollary 9.4.4
Suppose
C∫∞af(t,u)dm(t)
converges (pointwise) on B⊆E1. Then this convergence is uniform iff
limν→∞C∫∞vf(t,u)dm(t)=0 (uniformly) on B,
i.e., iff
(∀ε>0)(∃b>a)(∀u∈B)(∀v≥b)|C∫∞vf(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 u∈B⊆E1.
Then
C∫∞af(t,u)dm(t)
converges (uniformly) on B iff
C∫∞bf(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:E2→E (E complete),
we say that H(x,y) converges to F(y), uniformly on B, as x→q(q∈E∗), and write
limx→qH(x,y)=F(y) (uniformly) on B
iff we have
(∀ε>0)(∃G¬q)(∀y∈B)(∀x∈G¬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 "(∀y∈B)" 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:E2→E1 satisfy
(i) C∫∞ag(t,u)dt converges (uniformly) on B;
(ii) each gu(u∈B) is L-measurable on A=[a,∞);
(iii) each fu(u∈B) is monotone (↓ or ↑) on A; and
(iv) |f|<K∈E1 (bounded) on A×B.
Then
C∫∞af(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
|L∫xvg(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.