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.    □