1. Introduction
If K is a compact Hausdorff space and X is a Banach space, then is the Banach space of all continuous X-valued functions defined on K (endowed with the supremum norm), and is the -algebra of Borel subsets of K. The topological dual of can be identified with the space of all -valued, regular countably additive Borel measures on K of bounded variation, endowed with the variation norm.
For any Banach space
Y and any continuous linear function
, there is a vector measure
of finite semi-variation ([
1], [
2] (p. 182)) such that
where
denotes the semi-variation of
m. This vector measure
m is called the
representing measure of
T. We denote the correspondence
. For
, the semi-variation
is given by
A representing measure
m is called
strongly bounded (or
is continuous at ∅) if
for every decreasing sequence
in
, or equivalently, if there exists a control measure for
, that is, a positive countably additive regular Borel measure
on
K such that
. An operator
is called strongly bounded if
m is strongly bounded [
1].
The reader should note that if
, then
, for each
,
, where
denotes the characteristic function of a set
A. Let
denote the space of all bounded,
-measurable functions on
K with separable range in
X and the sup norm. If
, then
is well-defined and defines an extension
of
T given by
which is just the restriction to
of the bitranspose
of
T; e.g., see [
3] (Theorem 3), [
4] (p. 83). By [
3] (Theorem 2),
maps
into
Y if and only if the representing measure
m of
T is
-valued. If
is strongly bounded, then
m is
-valued [
1] (Theorem 4.4), and thus
. If
T is unconditionally converging, then
m is strongly bounded [
5].
Several authors studied the properties of
; e.g., [
3,
6,
7,
8,
9,
10,
11,
12]. In these papers it has been proved that
is weakly compact, compact, Dunford–Pettis, Dieudonné, unconditionally converging, strictly singular, strictly cosingular, weakly
p-compact, limited, pseudo weakly compact, and Dunford–Pettis
p-convergent if and only if its extension
has the same property.
We show that if is a strongly bounded operator and is its extension, then T is Grothendieck (resp. p-limited, has a p-limited adjoint) if and only if is Grothendieck (resp. p-limited, has a p-limited adjoint). It is shown that if is a strongly bounded operator and T is Grothendieck, then is Grothendieck for each . If we additionally assume that K is a dispersed compact Hausdorff space, then a strongly bounded operator is Grothendieck whenever is Grothendieck, for each . We also show that if is p-limited (resp. p-compact, has a p-limited adjoint), then is p-limited (resp. p-compact, has a p-limited adjoint) for each .
We give characterizations of strongly bounded limited operators (resp. operators with completely continuous, unconditionally converging, and
p-convergent adjoints), compact and absolutely summing operators in terms of their representing measures. The almost Dunford–Pettis and almost DP
p-convergent operators were introduced in [
9,
13]. We introduce and study the almost limited (resp. operators with almost completely continuous, unconditionally converging,
p-convergent adjoints), almost compact, and almost absolutely summing operators. We use the same ideas and techniques as in [
7,
9,
13].
2. Definitions and Notation
Throughout this paper, X and Y will denote Banach spaces. The unit ball of X will be denoted by , and will denote the continuous linear dual of X. An operator will be a continuous and linear function.
A Banach space
X has the
Grothendieck property if every
-convergent sequence in
is weakly convergent [
2] (p. 179). An operator
is called a
Grothendieck operator if
takes
-null sequences in
to weakly null sequences in
[
14].
A subset
A of
X is called a
Grothendieck set if every operator
maps
A onto a relatively weakly compact set [
15].
Definition 1.
A bounded subset A of a Banach space X is called a limited (resp. Dunford–Pettis ()) subset of X if every -null (resp. weakly null) sequence in tends to 0 uniformly on A, i.e., An operator
is
limited [
16] if
is limited.
A series of elements of X is weakly unconditionally convergent (wuc) if , for each .
An operator is unconditionally converging if it maps weakly unconditionally convergent series to convergent ones.
An operator is completely continuous (Dunford–Pettis) if it maps weakly Cauchy sequences to norm convergent ones.
Definition 2.
A bounded subset A of a Banach space X (resp. ) is called a -subset of X (resp. a -subset of ) provided thatfor each wuc series in (resp. wuc series in X ). Definition 3.
A bounded subset A of is called an L-subset of if each weakly null sequence in X tends to 0 uniformly on A, i.e., .
For , denotes the conjugate of p. If , plays the role of . The unit vector basis of will be denoted by .
Let
. We denote by
the Banach space of all
p-summable sequences with the norm
and by
the space of all norm null sequences.
Let
. A sequence
in
X is called
weakly p-summable if
for each
[
17] (p. 32), [
18] (p. 134). Let
denote the set of all weakly
p-summable sequences in
X. Let
be the space of weakly null sequences in
X. If
, then we consider
instead of
.
The space
is a Banach space with the norm
If , then . Furthermore, the unit vector basis of is weakly p-summable for all . The weakly 1-summable sequences are precisely the weakly unconditionally convergent (wuc) series and the weakly ∞-summable sequences are precisely weakly null sequences.
We recall the following isometries:
for
;
if
[
17] (Proposition 2.2, p. 36). Let these isometries be denoted by
E;
(resp.
);
, where
,
, if
(
, if
).
Let
. A sequence
in
is called
p-summable if
for each
[
19]. Let
denote the set of all
p-summable sequences in
. This is a Banach space with the norm
The map , where , identifies and isometrically for all . The spaces and are the same for .
Let
. An operator
is called
p-convergent if
T maps weakly
p-summable sequences into norm null sequences [
9]. The set of all
p-convergent operators
is denoted by
.
The 1-convergent operators are precisely the unconditionally converging operators and the ∞-convergent operators are precisely the completely continuous operators. If , then .
Definition 4.
Let . A bounded subset A of X is called a p- set [20] (or weakly-p-Dunford–Pettis set [21]) if , for every weakly p-summable (weakly null for ) sequence in . A bounded subset A of is called a p- set [20] (or weakly-p-L-set [21]) if , for every weakly p-summable (weakly null for ) sequence in X. The 1- subsets of X are precisely the -sets and the ∞- subsets of X are precisely the DP sets. If , then a q- set is a p- set, since . The 1- subsets of are precisely the -sets and the ∞- subsets of are precisely the L-sets. If , then a q- set is a p- set.
Definition 5.
A subset A of X is p-limited () [22] if for every (weak) p-summable sequence in , there exists such that for all and . An operator
is called
p-
limited if
is a
p-limited set in
Y [
22].
Definition 6.
Let . A subset A of X is relatively p-compact [23] if there is a p-summable (resp. a norm null sequence, if ) sequence in X such that (, if ). The ∞-compact sets are precisely the compact sets and p-compact sets are q-compact if .
An operator is called p-compact if is a p-compact set in Y.
An operator
is
p-
summing if
whenever
[
17] (p. 34), [
24] (p. 59). An operator
is absolutely summing if
T carries wuc series into absolutely convergent series. The absolutely summing operators coincide with the 1-summing operators.
A topological space
S is called
dispersed (or
scattered) if every nonempty closed subset of
S has an isolated point [
25]. A compact Hausdorff space
K is dispersed if and only if
[
26].
3. Main Results
The connection between an operator
and its representing measure has been intensely studied (e.g., [
1,
3,
5,
7,
13,
27,
28]). In this section we study some strongly bounded operators, including Grothendieck operators,
p-limited operators,
p-compact operators, limited operators (resp. operators with completely continuous, unconditionally converging,
p-convergent adjoints), and absolutely summing operators. We characterize limited operators (resp. operators with completely continuous, unconditionally converging,
p-convergent adjoints) in terms of their representing measures, extending previous results from [
11,
12]. We also introduce some new classes of operators, such as the almost limited operators (resp. operators with almost completely continuous, almost unconditionally converging, almost
p-convergent adjoints) and show that if
K is dispersed, these operators coincide with the limited operators (resp. operators with completely continuous, unconditionally converging,
p-convergent adjoints).
The following lemma provides a characterization of Grothendieck operators.
Lemma 1
([
14] (Lemma 1.3), [
29] (Proposition 1))
. Let X and Y be Banach spaces and be an operator. Then the following conditions are equivalent:- (i)
is Grothendieck.
- (ii)
For any operator , is weakly compact.
- (iii)
For any bounded subset A of X, is a Grothendieck set.
As noted in the introduction, if is strongly bounded, then m is -valued and its extension maps into Y.
Every
p-summing operator
is strongly bounded. Indeed,
T is weakly compact and completely continuous [
18] (Corollary 6.20, p. 148), [
17] (Theorem 2.17, p. 50), and thus it is strongly bounded. Every
p-limited operator
is strongly bounded. Indeed, every
p-limited operator is weakly compact by [
30] (Proposition 2.1), and thus it is unconditionally converging and strongly bounded [
5]. Similarly, every operator
with
p-limited adjoint is strongly bounded. Every
p-compact operator is compact (since every relatively
p-compact set is relatively compact); hence, every
p-compact operator
is strongly bounded.
Observation 1.
(i) An operator is p-summing if and only if its extension is p-summing. Indeed, if is p-summing, then is p-summing [17] (Proposition 2.19, p. 50), and thus is p-summing (since it is the restriction of a p-summing operator). (ii) An operator is p-compact if and only if its extension is p-compact. Indeed, if is p-compact, then is p-compact [31] (Corollary 3.6), and thus is p-compact. An operator
is
p-summing if and only if
is
p-limited [
32] (Theorem 2). An operator
is
p-limited if and only if
is
p-summing [
30] (Theorem 3.1).
Theorem 1.
Suppose that is a strongly bounded operator and is its extension. Then the following assertions hold:
- (i)
T is Grothendieck if and only if is Grothendieck.
- (ii)
is p-limited if and only if is p-limited.
- (iii)
T is p-limited if and only if is p-limited.
Proof. (i) We show that if
is Grothendieck, then
is Grothendieck. Let
be an operator. Note that
. If
, then
and
is the extension of
to
. Since
T is Grothendieck,
is weakly compact (by Lemma 1). Therefore its extension
is weakly compact (Introduction, p. 2; [
3] (Theorem 6)), and thus
is Grothendieck (by Lemma 1).
(ii) It follows from Observation 1 and [
32] (Theorem 2).
(iii) If
is
p-limited, then
is
p-summing [
30] (Theorem 3.1). Then
is
p-summing [
17] (Proposition 2.19, p. 50), so
is
p-limited [
30] (Theorem 3.1). Thus
is
p-limited. □
Corollary 1.
Suppose that is an operator.
- (i)
If T is strongly bounded and Grothendieck, then is Grothendieck for each .
- (ii)
If is p-limited, then for each , is p-limited.
- (iii)
If T is p-limited, then for each , is p-limited.
- (iv)
If T is p-compact, then for each , is p-compact.
Proof. We will only consider the case of Grothendieck operators. The other proofs are similar. If , , define by . Then is an isomorphic isometric embedding of X into and . By Theorem 1, is Grothendieck, and thus is Grothendieck. □
We note that by Corollary 1 (iii) and [
30] (Theorem 3.1), if
is an operator such that
is
p-summing, then for each
,
is
p-summing.
If is an operator, is a metrizable compact space, and a continuous map which is onto, we will call a quotient of K. The map given by defines an isometric embedding of into . Let be the operator defined by , where and is the canonical mapping.
Lemma 2.
An operator is Grothendieck if and only if, for each metrizable quotient of K, the operator defined as above is Grothendieck.
Proof. Suppose that is Grothendieck and is a metrizable quotient space of K. Then is Grothendieck.
Conversely, let
be an operator and let
be a sequence in the unit ball of
. It is known (see [
3]) that there exists a metrizable quotient space
of
K and a sequence
in
defined by
for all
and
. Define
by
, where
is the canonical mapping. By assumption,
is Grothendieck. Then
is Grothendieck. □
Lemma 3.
Let H be a bounded subset of X. If for each there is a Grothendieck subset of X so that , then H is a Grothendieck set.
Proof. Let
be an operator. Without loss of generality assume
. Since
and
is weakly compact (by Lemma 1),
is weakly compact by a result of Grothendieck ([
7] (Lemma 6), [
24] (p. 227)). By Lemma 1,
H is a Grothendieck set. □
Theorem 2.
Suppose that K is a dispersed compact Hausdorff space and is a strongly bounded operator. Then T is Grothendieck if and only if is Grothendieck, for each .
Proof. Suppose is strongly bounded. If T is Grotendieck, then for each , is Grothendieck by Corollary 1.
Conversely, suppose that
is a strongly bounded operator and
is Grothendieck for each
. From Lemma 2,
7] (Lemma 5), and the fact that a quotient space of a dispersed space is dispersed ([
25] (8.5.3)), we can suppose without loss of generality that
K is metrizable. Since
K is dispersed and metrizable,
K is countable ([
25] (8.5.5)). Suppose that
. Let
be a sequence in the unit ball of
. For each
, the set
is bounded in
X and
is Grothendieck. Then the set
is Grothendieck, for each
. Let
,
. Then
is a decreasing sequence of sets. Let
. Since
m is strongly bounded, there is a
such that
. For each
,
Furthermore,
. Therefore,
Since is a Grothendieck set, the set is Grothendieck, by Lemma 3. Thus T is Grothendieck. □
We recall the following well-known result ([
4] (Sec 13, Theorem 5)).
Theorem 3.
Let λ be a positive Radon measure on K. If is λ-continuous, then there exists a function such that
- (i)
is a λ-integrable function for every .
- (ii)
For every and , - (iii)
is λ-integrable and for every , where , for .
By [
13] (Lemma 1.3) the operator
with representing measure
m is strongly bounded if and only if there exists a positive Radon measure
on
K such that
(i) is -continuous for every , and
(ii) If is the element corresponding to by Theorem 3, then the set is relatively weakly compact in .
In this case, is a control measure for m.
In our next result we will need the following lemma.
Lemma 4. (i) ([12] (Lemma 1)) If is an operator, then is a subset of Y if and only if is completely continuous. (ii) ([12] (Lemma 1)) If is an operator, then is a -subset of Y if and only if is unconditionally converging. (iii) ([21] (Theorem 14)) Let . If is an operator, then is a p- set if and only if is p-convergent. The following result is motivated by [
13] (Theorem 1.4).
Theorem 4.
Let be a strongly bounded operator whose representing measure m has a control measure λ and let . The following are equivalent:
- (a)
T is limited (resp. is completely continuous, unconditionally converging, p-convergent).
- (b)
For every bounded sequence in and every -null (resp. weakly null, weakly 1
-summable, weakly p-summable) sequence in , we have where is the function corresponding to by Theorem 3.
Proof. We give the proof for limited operators; the other cases are similar when using Lemma 4.
Suppose
T is limited. Let
be a sequence in the unit ball of
and
be a
-null sequence in
. For each
n, let
be a scalar continuous function on
K such that
and
Note that
is in the unit ball of
. Recall that
,
. By Theorem 3,
, for all
. Then
since
T is limited.
Let
be a sequence in the unit ball of
and
be a
-null sequence in
. Without loss of generality assume
is in
. Then
and thus
T is limited. □
A positive Radon measure is discrete if every set of positive measure contains an atom ([
33] (Ch 2, Sect. 8)). In this case, the measure is of the form
, with
. In particular, it is concentrated on a countable set of its atoms.
Theorem 5.
Let and let such that
- (a)
m is strongly bounded and admits a discrete control measure λ.
- (b)
For every , is limited (resp. is completely continuous, unconditionally converging, p-convergent).
Then T is limited (resp. is completely continuous, unconditionally converging, p-convergent).
Proof. We will prove the result for limited operators. The other cases are similar. Let
be a sequence in
and
be a
-null sequence in
. Without loss of generality assume
is in
. For each
, let
be the function corresponding to
by Theorem 3. For every
,
is limited, and thus
Then
for every
such that
.
Let
be a sequence in the unit ball of
. Then for every
,
is in
, and
for every
such that
.
The sequence
is bounded and the set
is uniformly integrable (since it is relatively weakly compact in
[
2] (p. 76)). By Vitali’s Theorem we obtain
Therefore,
T is limited by Theorem 4. □
Remark 1. Every Radon measure on a compact dispersed space
K is discrete [
33] (Ch. 2, Sect. 8).
Corollary 2
([
12] (Theorem 11), [
11] (Theorem 22))
. Suppose that K is a dispersed compact Hausdorff space and is a strongly bounded operator. Let . Then T is limited (resp. is completely continuous, unconditionally converging, p-convergent) if and only if for each , is limited (resp. is completely continuous, unconditionally converging, p-convergent). Proof. Suppose that for each , is limited (resp. is completely continuous, unconditionally converging, p-convergent). Then T is limited (resp. is completely continuous, unconditionally converging, p-convergent) by Theorem 5 and Remark 1.
If
T is limited (resp.
is completely continuous, unconditionally converging,
p-convergent), then for each
,
is limited (resp.
is completely continuous, unconditionally converging,
p-convergent) by [
12] (Corollary 3), [
11] (Corollary 15). □
Theorem 6.
Let be a strongly bounded operator whose representing measure m has a control measure λ. The following are equivalent:
- (a)
T is compact.
- (b)
For every sequence in the unit ball of and every sequence in , we have for every increasing sequence and in , where is the function corresponding to by Theorem 3.
Proof. Suppose
T is compact. Let
be a sequence in the unit ball of
,
be a sequence in
, and let
and
be two increasing sequences in
. For each
k, let
be a scalar continuous function on
K such that
and
Note that
is in the unit ball of
. Then
since
is compact.
Let
be a sequence in
, and let
and
be two increasing sequences in
. Choose
to be a sequence in the unit ball of
such that
for each
k. Then
Therefore
, and thus
T is compact. □
Theorem 7.
Let such that
- (a)
m is strongly bounded and admits a discrete control measure λ.
- (b)
For every , is compact.
Then T is compact.
Proof. The proof is similar to that of Theorem 5. □
By Theorem 7 and Remark 1, we obtain the following result.
Corollary 3
([
12] (Remark 1))
. Suppose that K is a dispersed compact Hausdorff space is a strongly bounded operator. Then T is compact if and only if for each , is compact. A Banach space
X does not contain
if and only if, for every Banach space
Y, every completely continuous operator
is compact [
34] (p. 377), [
35] (Theorem 1) if and only if every
L-subset of
is relatively compact if and only if every DP subset of
is relatively compact [
35].
Corollary 4.
Suppose K is a dispersed compact Hausdorff space and . Then the following statements hold:
- (i)
([36] (Theorem 3.1.2)) X contains no copy of if and only if contains no copy of . - (ii)
If every p- subset of is relatively compact, then every p- subset of is relatively compact.
- (iii)
If every p-limited set of is relatively compact, then every p-limited subset of is relatively compact.
Proof. (i) Suppose
X contains no copy of
and
is completely continuous. Then for each
,
is completely continuous [
7]. Since
,
is compact. Then
T is compact by Corollary 3, and thus
. The converse is clear, since
X is a subspace of
.
(ii) Suppose every
p-
subset of
that is relatively compact
is
p-convergent. Then
T is strongly bounded and for each
,
is
p-convergent [
9] (Proposition 2.1). Since every
p-
subset of
is relatively compact,
is compact [
21] (Theorem 21). Then
T is compact, by Corollary 3. Thus every
p-
subset of
is relatively compact [
21] (Theorem 21).
(iii) Suppose every
p-limited subset of
is relatively compact and
is
p-summing. Then for each
,
is
p-summing [
27] (Theorem 4.1 (iii)). By [
32] (Theorem 4),
is compact. Then
T is compact, and thus every
p-limited subset of
is relatively compact [
32] (Theorem 4). □
Theorem 8.
Let be a strongly bounded operator whose representing measure m has a control measure λ. The following are equivalent:
- (a)
T is absolutely summing.
- (b)
For every wuc series in and every sequence in , we have where is the function corresponding to by Theorem 3.
Proof. Suppose T is absolutely summing.
Let
be a wuc series in
and let
be a sequence in
. Let
be a scalar continuous function on
K such that
and
Note that
is wuc in
. Then
since
T is absolutely summing.
Let
be a wuc series in
. Let
be a sequence in
such that
for each
n. Then
and thus
T is absolutely summing. □
In the following, we introduce and study the almost limited (resp. absolutely summing, compact) operators, and operators with almost completely continuous (resp. unconditionally converging, p-convergent) adjoints, .
Let . Let be a strongly bounded operator. We say that T is almost limited (resp. is almost completely continuous, almost unconditionally converging, almost p-convergent) if for every bounded sequence in X and every bounded sequence in , is a limited set (resp. DP set, -set, p- set).
Let be a strongly bounded operator. We say that T is almost absolutely summing if, for every wuc series in X and every bounded sequence in , we have .
Let be a strongly bounded operator. We say that T is almost compact if, for every bounded sequence in X and every bounded sequence in , we have is a relatively compact set.
Every limited (resp. absolutely summing, compact) operator is almost limited (resp. almost absolutely summing, almost compact); every operator with completely continuous (resp. unconditionally converging, p-convergent) adjoint has an almost completely continuous (resp. unconditionally converging, p-convergent) adjoint.
The following result is motivated by [
13] (Theorem 1.9).
Theorem 9.
Let and let be a strongly bounded operator whose representing measure m has a control measure λ. The following are equivalent:
- (a)
T is almost limited (resp. is almost completely continuous, almost unconditionally converging, almost p-convergent).
- (b)
For every bounded sequence in X and every -null (resp. weakly null, weakly 1-summable, weakly p-summable) sequence in , we have where is the function corresponding to by Theorem 3.
Proof. We give the proof for limited operators; the other cases are similar.
Suppose
T is almost limited. Let
be a sequence in
and
be a
-null sequence in
. Let
be a scalar continuous function on
K such that
and
Then
since
T is almost limited.
Let
be a sequence in
and
be a bounded sequence in
. Without loss of generality suppose
. Let
be a
-null sequence in
. Then
and thus
T is almost limited. □
Corollary 5.
Let and let be a strongly bounded operator whose representing measure m has a control measure λ. If T is almost limited (resp. is almost completely continuous, almost unconditionally converging, almost p-convergent), then is limited (resp. is completely continuous, unconditionally converging, p-convergent) for each .
Proof. We give the proof for almost limited operators; the other cases are similar. Suppose
T is almost limited. Let
,
be a sequence in
, and let
be a
-null sequence in
. By Theorem 9,
Thus,
is limited. □
Corollary 6.
Let . Let K be a dispersed compact Hausdorff space and be a strongly bounded operator. Then T is limited (resp. is completely continuous, unconditionally converging, p-convergent) if and only if T is almost limited (resp. is almost completely continuous, almost unconditionally converging, almost p-convergent).
Proof. We give the proof for limited operators; the other cases are similar. Every limited operator is almost limited. Conversely, suppose T is almost limited. By Corollary 5, is limited, for each . Therefore, T is limited by Corollary 2. □
Theorem 10.
Let be a strongly bounded operator whose representing measure m has a control measure λ. The following are equivalent:
- (a)
T is almost absolutely summing.
- (b)
For every wuc series in X and every sequence in , we have where is the function corresponding to by Theorem 3.
Proof. The proof is similar to that of Theorem 9, using the fact that for every wuc series in X and every bounded sequence in , the series is wuc in . □
Corollary 7.
Let be a strongly bounded operator whose representing measure m has a control measure λ. If T is almost absolutely summing, then is absolutely summing for each .
Proof. The proof is similar to that of Corollary 5. □
Theorem 11.
Let be a strongly bounded operator whose representing measure m has a control measure λ. The following are equivalent:
- (a)
T is almost compact.
- (b)
For every bounded sequence in X and every sequence in , we have for every increasing sequences and in , where is the function corresponding to by Theorem 3.
Proof. The proof is similar to that of Theorem 9. □
Corollary 8.
Let be a strongly bounded operator whose representing measure m has a control measure λ. If T is almost compact, then is compact for each .
Proof. The proof is similar to that of Corollary 5. □
Corollary 9.
Let K be a dispersed compact Hausdorff space and be a strongly bounded operator. Then T is compact if and only if T is almost compact.
Proof. The proof is similar to that of Corollary 6. □
If
is linear and continuous, then there is a unique linear, conttinuous map
such that
, for
,
[
4] (III. 19. 2). Let
denote the set of all limited operators
, and let
denote the set of all operators
such that
is unconditionally converging.
We note that if is limited (resp. is unconditionally converging), then for each , the operator is limited (resp. is unconditionally converging).
The following result is motivated by [
28] (Theorem 11 (ii)).
Corollary 10.
Let K be a dispersed compact Hausdorff space and let be a strongly bounded operator.
- (i)
If is limited, then T is limited.
- (ii)
If has an unconditionally converging adjoint, then T has an unconditionally converging adjoint.
Proof. (i) Let
be a sequence in
,
be in the unit ball of
, and
be a
-null sequence in
. If
is limited, then
is
-norm sequentially continuous, and
. Then
is
-null in
,
and thus
T is almost limited. Therefore,
T is limited by Corollary 6.
(ii) Let
be a sequence in
,
be in the unit ball of
, and
be a wuc series in
. Suppose
and
is not convergent. Let
. For each
n, there are increasing sequences
and
in
with
such that for each
n,
Then
which contradicts the fact that
is unconditionally converging. Then
is
-1-summable, and thus weakly 1-summable in
.
Since
is unconditionally converging,
is a
-set in
, and thus,
Therefore
is a
-set in
Y, and
is almost unconditionally converging. Then
is unconditionally converging by Corollary 6. □