Convolution structures for an Orlicz space with respect to vector measures on a compact group
Manoj Kumar, N. Shravan Kumar

TL;DR
This paper investigates the structure of Orlicz spaces associated with vector measures on compact groups, establishing conditions under which these spaces form modules with respect to convolution operations.
Contribution
It introduces new convolution structures on Orlicz spaces with vector measures, expanding the understanding of their algebraic properties on compact groups.
Findings
L^\
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Abstract
The aim of this paper is to present some results about the space L^\Phi(\nu), where \nu is a vector measure on a compact (not necessarily abelian) group and \Phi is a Young function. We show that under certain conditions, the space L^\Phi(\nu) becomes an L^1(G)-module with respect to the usual convolution of functions. We also define one more convolution structure on L^\Phi(\nu).
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Convolution structures for an Orlicz space with respect to vector measures on a compact group
Manoj Kumar
Department of Mathematics Indian Institute of Technology Delhi Delhi - 110016 India
and
N. Shravan Kumar
Department of Mathematics Indian Institute of Technology Delhi Delhi - 110016 India
Abstract.
The aim of this paper is to present some results about the space where is a vector measure on a compact (not necessarily abelian) group and is a Young function. We show that under certain conditions, the space becomes an -module with respect to the usual convolution of functions. We also define one more convolution structure on
Key words and phrases:
Compact group, Orlicz Space, vector measure, convolution
2010 Mathematics Subject Classification:
Primary 43A77, 43A15; Secondary 46G10
1. Introduction
It is well known that, if is a compact abelian group, then for any the space forms an -module. See [6]. In 2009, O. Delgado and P. Miana [3] generalised this result to an space associated with a vector measure. This note has the modest aim of showing how some of these results can be carried over, not always trivially, to spaces associated to a vector measure on a compact group that is not necessarily abelian. More precisely, we show that an Orlicz space associated with a vector measure on a compact group is an -module.
In the classical case, as is well-known, the Haar measure plays a major role in proving many facts about the spaces. Therefore, in order to prove that an Orlicz space associated with a vector measure is an -module, it becomes necessary to assume certain kind of translation invariance of the vector measure.
In Section 3, we show that an Orlicz space associated with a norm integral translation invariant vector measure is a homogeneous space. In Section 4, our main aim is to show that an Orlicz space associated with a vector measure is an -module. We also show that the Haar measure is a Rybakov control measure for an absolutely continuous norm integral translation invariant vector measure with some density. In the abelian case, one of the ingredients for the proof of this result is the classical Markov-Kakutani fixed point theorem. This doesn’t work if the group is not abelian. We would like to mention here that the proof given in this paper depends on a fixed point theorem provided in [7], which works for any compact group.
One of the classical results of abstract harmonic analysis is that an approximate identity in also serves as an approximate identity for the spaces also. Theorem 4.5 of this paper, generalizes this result to the case of an Orlicz space associated with a vector measure.
Finally, in Section 5 we consider another convolution product. This product was introduced in [1] for the spaces associated with a vector measure. In this section, we extend this convolution product to an Orlicz space associated with a vector measure.
Throughout this paper, will denote a compact group with a fixed normalized Haar measure
2. Vector measures and their associated Orlicz spaces
Let be a compact group, be the Borel -algebra on and let be the normalized Haar measure on For let denote the usual Lebesgue space with respect to the measure Let denote the space of all simple functions on and denote the space of all continuous functions on
Let be a complex Banach space and let be a -additive -valued vector measure on . Let denote the topological dual of and let denote the closed unit ball in For each we shall denote by the corresponding scalar valued measure for the vector measure which is defined as A set is said to be -null if for every Borel set The vector measure is said to be absolutely continuous with respect to a non-negative scalar measure if We shall denote this as The semivariation of on a set is defined as We shall denote by the quantity Let denote the space of all -valued measures which are absolutely continuous with respect to the Haar measure . A finite positive measure is said to be a Rybakov control measure for a vector measure if for some It follows from [4, Theorem IX.2.2] that such an always exists. Further, by [4, Pg. 10, Theorem 1] and from the inequality it follows that the measures and have same null-sets. For more details on vector measures see [4] and [8].
We say that a map is a Young function if is a strictly increasing, convex and continuous such that if and only if and The complementary Young function of the function is given by For a (finite) positive measure on , let denote the Orlicz space, consisting of all complex-valued measurable functions on with where is the Luxemberg norm given by
[TABLE]
Note that the Orlicz space is a natural generalisation of the classical spaces. For more on Orlicz spaces see [9].
Let denote the weak Orlicz space with respect to a vector measure i.e., a space consisting of all complex-valued measurable functions such that where Let denote the closure of simple functions under the norm The space is known as the Orlicz space with respect to the vector measure Note that if then the spaces and coincides with and respectively. We shall denote by the norm on the space Further, for any Young function the spaces and are continuously embedded in and respectively. Moreover, if then, by [5, Proposition 4.2], i.e., is continuously embedded in For more details see [2].
From now onwards, will denote a Banach space and an -valued measure on Further, will denote a Young function with as its complementary Young function.
3. Homogeneity of the space
The main aim of this section is to show that the space is a homogeneous space. We begin this section with the definition of a homogeneous space.
A Banach function space is said to be a homogeneous space if for each and we have that
- (i)
where 2. (ii)
and 3. (iii)
is continuous from into
Let be a homeomorphism. For a measurable function , define a function by Note that is also a measurable function. Similarly, define a measure as
We denote by the continuous linear operator given by . See [8, Pg. 152].
Definition 3.1**.**
- (i)
A vector measure is said to be a norm integral -invariant vector measure if 2. (ii)
A Banach function space is said to be norm -invariant if for each we have and
Observe that a vector measure is norm integral -invariant if and only if is norm integral -invariant.
Now we prove a lemma which will help us to prove the norm -invariance of (weak) Orlicz spaces with respect to a norm integral -invariant vector measure.
Lemma 3.2**.**
Let be a norm integral -invariant vector measure and . Then there exists such that Further,
Proof.
Define a map by Since is norm integral -invariant, it follows that the map is an isometry. Now, for let Then and Further, by Hahn-Banach extension theorem, there exists such that on and
Now, let Then, we have,
[TABLE]
We now prove that the spaces and are norm -invariant for a norm integral -invariant vector measure .
Theorem 3.3**.**
Let be a norm integral -invariant vector measure. Then the spaces and are norm -invariant.
Proof.
Since is a norm integral -invariant vector measure, for any by Lemma 3.2, there exists such that and We now claim that Let . Then, for using Lemma 3.2 and the fact that the sets ’s are disjoint, we have
[TABLE]
Now, the claim follows from monotone convergence theorem.
Let Then, using Lemma 3.2, we have,
[TABLE]
Note that if is a norm integral -invariant measure, then is a norm integral -invariant measure and therefore Hence the space is norm -invariant.
Now let then there exists a sequence of simple functions such that in norm. Since and
[TABLE]
implies that as is the closure of simple functions. Hence it follows that is norm -invariant. ∎
Next we show that the space of continuous functions on is dense in This will be used to prove homogeneity of the Orlicz space with respect to a norm integral translation invariant vector measure.
Proposition 3.4**.**
Let Then is dense in
Proof.
Let and For every using Lusin’s theorem, there exists such that on and where is the complement of the set with By [9, p. 78, Corollary 7], we have
[TABLE]
Since by choosing small enough, we get Now the result follows from the density of in ∎
Remark 3.5**.**
Since the trigonometric polynomials on are dense in with respect to the uniform norm and it follows from Proposition 3.4 that the trigonometric polynomials on are dense in for
Now we conclude the section with the main result that an Orlicz space with respect to a norm integral translation invariant vector measure is homogeneous.
Theorem 3.6**.**
Let be norm integral translation invariant. Then the space is homogeneous.
Proof.
Let By Theorem 3.3, is norm translation invariant and it is enough to show that the map is continuous from to Let By Proposition 3.4, there exists such that Further, for
[TABLE]
As is compact, is uniformly continuous and therefore there exists a neighbourhood of in such that for every such that Hence we have for every such that ∎
4. Convolution product for and
Throughout this section, will denote an absolutely continuous norm integral translation invariant vector measure. In this section, we first show that the Haar measure is a Rybakov control measure for the vector measure with some density. We will then show that and are Banach algebras under some conditions on
Note that by [8, Pg. 108, Theorem 3.7], the space is an order continuous Banach function space w.r.t. any Rybakov control measure for . Hence by [8, Pg. 35, Proposition 2.16] the Köthe dual of coincides with the topological dual of For more details on Köthe dual see [8].
Theorem 4.1**.**
If is a Rybakov control measure for , then there exists such that , where is the Köthe dual space of Further
Proof.
Consider the space with the weak* topology. Consider the family of linear operators, where is given by Taking translation as homeomorphism and in Theorem 3.3, we have that is an isometric isomorphism, it follows that is a weak*-weak* continuous linear operator. Further, note that the map is a continuous map from the compact group into and hence the set is compact. In particular, it is a totally bounded group.
Now, consider the set Since is non-zero, it is clear that and therefore Hence, by Hahn-Banach theorem, there exists such that and This implies that is non-empty.
Let and Then
[TABLE]
and Thus, is convex.
Define by It is clear that is continuous. Then the set is a closed subset of and is compact by Banach-Alaoglu theorem. Therefore, is compact.
Let and Then,
[TABLE]
which implies that Further, Thus, Hence, maps the non-empty, convex and compact set univalently onto itself for every . Therefore, by [7, Corollary of Theorem 2, p. 245], there exists a common fixed point for the family , that is,
Now, by the definition of the set and from the definition of the norm, it follows that Further, by [8, Pg. 35, Proposition 2.16], there exists such that and
[TABLE]
Since it follows that
Define a scalar measure as
[TABLE]
As is a fixed point for the family it follows that the measure is translation invariant and hence so is the measure Further, the density of is and hence non-zero. We now claim that the measure is regular. Let Then
[TABLE]
It now follows, from our assumption that that and therefore by Radon-Nikodym theorem it follows that is regular. In particular, is a Haar measure and hence there exists a positive constant such that Note that as is normalized. As is the density for the measure it follows that the density for the Haar measure is
Let Using the fact that it follows that Further,
[TABLE]
Thus ∎
Remark 4.2**.**
Theorem 4.1 implies that the measure is a Rybakov control measure with some density and therefore -null sets coincides with -null sets.
Corollary 4.3**.**
The embedding of inside is continuous. Further
Proof.
Let be a Rybakov control measure for Since by Theorem 4.1, there exists a function such that the Haar measure is given by
[TABLE]
and Now, let By monotone convergence theorem, it suffices to assume that is a simple function. Then,
[TABLE]
Since we have that Therefore, we can consider the classical convolution of any two functions in In the next theorem, we prove that the (weak) Orlicz space with respect to is an -module for the classical convolution.
Theorem 4.4**.**
Let and Then with . In particular, if then
Proof.
Let and Using Theorem 3.3, with translation as a homeomorphism, we have that with Then
[TABLE]
Now, let then there exists two sequences and of simple functions converging to in and in respectively. Since, for each and we have that is bounded and therefore Further,
[TABLE]
Therefore, the sequence converges to in the norm. Using the fact that is a closed subspace of we have that ∎
Our next result is the analogue of [6, Proposition 2.42].
Theorem 4.5** (Existence of left approximate identity).**
The space has a left approximate identity, that is, there exists a net in such that
- (i)
** 2. (ii)
** 3. (iii)
** 4. (iv)
* as * 5. (v)
* and* 6. (vi)
**
Proof.
It is well-known that a net satisfying (i) to (v) exists in This net satisfies our requirements. Indeed, for and
[TABLE]
Taking and using Theorem 3.6, the result follows. ∎
The next theorem is an analogue of [6, Theorem 2.43].
Theorem 4.6**.**
Let be a closed subspace of Then is a left -submodule of if and only if is a translation invariant subspace.
Proof.
Suppose that is a left -submodule of Let and Let be a left approximate identity of provided by Theorem 4.5. Then, using Theorem 3.3,
[TABLE]
Since and as is a closed subspace of , it follows that
Now let be a translation invariant space. Let and Since , it is clear that belongs to the closed linear span of the functions from Since is a closed subspace of , it follows that ∎
Now we discuss the convolution structure in the spaces and .
Theorem 4.7**.**
Let Then with
[TABLE]
In particular, if then
Proof.
If then using Theorem 4.4 and the fact that we have with Further, using [5, Proposition 4.2] and Corollary 4.3, we have
[TABLE]
The conclusion for follows from the density of in ∎
We finish this section with a remark on the Banach algebra structure of the (weak) Orlicz spaces with respect to
Remark 4.8**.**
If the vector measure satisfies then the spaces and become Banach algebras with classical convolution as multiplication.
5. Another convolution product for and
In this final section, we define another convolution product for (weak) Orlicz spaces with respect to the vector measure . The main result of this section is Theorem 5.2.
If then Therefore, by Radon-Nikodym theorem there exists a function such that Further, for ,
[TABLE]
Hence, for every With this as motivation, we define another convolution product in the spirit of [1, Definition 4.1] and study some inequalities.
Definition 5.1**.**
Let The convolution of functions and with respect to a vector measure is defined by
[TABLE]
Note that Since for a norm integral translation invariant vector measure is continuously embedded in Definition 5.1 makes sense for functions and . With this note, here is the main result of this section.
Theorem 5.2**.**
Let be a norm integral translation invariant vector measure. If and then and
[TABLE]
In particular, if and then
Proof.
Let Using Theorem 3.3, we have,
[TABLE]
Thus, it follows that, with
The last statement follows again from the density of the space of simple functions. ∎
Using Theorem 5.2 and [5, Proposition 4.2] we have the following immediate consequence.
Corollary 5.3**.**
Let be a norm integral translation invariant vector measure. If then and In particular, if then
Acknowledgment
The first author would like to thank the University Grants Commission, India for providing the research grant.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] J. M. Calabuig , F. Galaz-Fontes , E. M. Navarrete and E. A. Sánchez-Pérez , Fourier transforms and convolutions on L p superscript 𝐿 𝑝 L^{p} of a vector measure on a compact Haussdorff abelian group , J. Fourier Anal. Appl. 19 (2013) 312-332.
- 2[2] O. Delgado , Banach function subspaces of L 1 superscript 𝐿 1 L^{1} of a vector measure and related Orlicz spaces , Indag. Mathem., N.S., 15 (4) (2004) 485-495.
- 3[3] O. Delgado and P. Miana , Algebra structure for L p superscript 𝐿 𝑝 L^{p} of a vector measure , J. Math. Anal. Appl. 358(2) (2009) 355-363.
- 4[4] J. Diestel and J. J. Uhl , Vector Measures , Math. Surveys, vol. 15. Amer. Math. Soc., Providence (1977).
- 5[5] I. Ferrando and F. Galaz-Fontes , Multiplication operators on vector measure Orlicz spaces , Indag. Math., N.S., 20(1) (2009) 57-51.
- 6[6] G. B. Folland , A Course in Abstract Harmonic Analysis , CRC Press, Boca Raton, 1995.
- 7[7] S. Kakutani , Two Fixed-point Theorems Concerning Bicompact Convex Sets , Proc. Imp. Acad. Japan, 14 (1938) 242-245.
- 8[8] S. Okada , W. J. Ricker , and E. A. Sánchez Pérez , Optimal Domain and Integral Extension of Operators acting in Function Spaces , Oper. Theory Adv. Appl., vol. 180. Birkhäuser, Basel (2008).
