Applications of an intersection formula to dual cones
D\'aniel Virosztek

TL;DR
This paper presents a new proof of a duality theorem involving extremal quantities of trigonometric polynomials using an intersection formula on dual cones, with applications to integral estimates of positive definite functions.
Contribution
It introduces a succinct proof of Révész's duality theorem utilizing an intersection formula on dual cones, offering new insights and applications in harmonic analysis.
Findings
Provided a new proof of Révész's duality theorem
Applied the intersection formula to integral estimates of positive definite functions
Demonstrated the utility of dual cone intersection formulas in harmonic analysis
Abstract
We give a succinct proof of a duality theorem obtained by R\'ev\'esz in 1991 which concerns extremal quantities related to trigonomertic polynomials. The key tool of our new proof is an intersection formula on dual cones in real Banach spaces. We show another application of this intersection formula which is related to the integral estimates of non-negative positive definite functions.
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Applications of an intersection formula to dual cones
Dániel Virosztek
Department of Analysis, Institute of Mathematics
Budapest University of Technology and Economics
H-1521 Budapest, Hungary and MTA-DE “Lendület” Functional Analysis Research Group, Institute of Mathematics
University of Debrecen
H-4002 Debrecen, P.O. Box 400, Hungary
[email protected] http://www.math.bme.hu/~virosz
Abstract.
We give a succinct proof of a duality theorem obtained by Révész in [6] which concerns extremal quantities related to trigonomertic polynomials. The key tool of our new proof is an intersection formula on dual cones in real Banach spaces. We show another application of this intersection formula which is related to the integral estimates of non-negative positive definite functions.
Key words and phrases:
duality, positive definite function, intersection formula
2010 Mathematics Subject Classification:
Primary: 43A25. Secondary: 43A35.
The author was supported by the “Lendület” Program (LP2012-46/2012) of the Hungarian Academy of Sciences and by the National Research, Development and Innovation Office – NKFIH, Grant No. K104206.
1. Introduction
Let be a real Banach space and let denote its topological dual space endowed with the weak-∗ topology. For any set the dual cone of is denoted by and is defined as
[TABLE]
see, e.g., [2, Section 2]. The polar cone (denoted by ) is defined as Note that both and are weak-∗ closed convex cones in no matter what the set is. Moreover, by [2, Lemma 2.1.], if and are convex sets in such that and , then
[TABLE]
Consequently, in this case we have
In this short note we show two applications of the formula (1) that describes the structure of the dual cone of the intersection of cones. Both applications are of a Fourier-analytic nature, hence we collect some basic facts and notation of this topic below.
- (i)
For a locally compact abelian group the symbol denotes the set of all complex-valued regular Borel measures on with finite total variation. is a commutative, unital Banach algebra, where the norm is defined as and the multiplication is defined by the convolution [7, 1.3.2. Corollary]. 2. (ii)
The symbol stands for the set of all integrable functions on (with respect to the Haar measure, which is denoted by ) We may consider as a subset of by the embedding
[TABLE]
In fact is a Banach subalgebra of [7, 1.3.5. Theorem]. Moreover, is unital if and only if if and only if is discrete [7, 1.7.3. Theorem]. 3. (iii)
stands for the set of all essentially bounded measurable functions on 4. (iv)
A continuous group homomorphism from the locally compact abelian group into the multiplicative group is called a character of The set of all characters of forms a group (with pointwise multiplication) which is called the dual group of and it is denoted by 5. (v)
For any (or ), the symbol (or ) denotes the Fourier transform of (or ), that is,
[TABLE]
and
[TABLE]
The Fourier transform is a continuous linear transformation from into where denotes the set of all functions on vanishing at infinity (the topology on is the weak topology induced by the set of all functions obtained as Fourier-transforms of functions on ). Moreover, it is a contraction as (For details, see [7, 1.2.4. Theorem].)
The following useful formula is an easy consequence of Fubini’s theorem. If and then
[TABLE]
Now we turn to the detailed descriptions of the applications of the intersection formula (1). Section 2 is devoted to describe the first one, and Section 3 contains the second one.
2. A new proof of a duality theorem
In 1991, Révész proved a duality theorem on certain extremal quantities related to multivariable trigonometric polynomials [6]. That theorem is general enough to cover the duality statements appearing in [4], [5] and [8]. The setting of the theorem is as follows.
Let be a positive integer. Let us use the notation and
[TABLE]
Let and let and
Consider the real Banach space of all symmetric real-valued absolutely summable functions on with its topological dual space
Set
[TABLE]
[TABLE]
The set is a convex set. It is easy to see that the dual cone of is
[TABLE]
Therefore, the polar cone of is
[TABLE]
Set
[TABLE]
Clearly, is a convex set. The following Lemma is devoted to describe its dual cone.
Lemma 1**.**
[TABLE]
Proof of Lemma 1.
Recall that a function is said to be positive definite if holds for any and However, for symmetric real functions, positive definiteness is equivalent to the a priori weaker condition
Let us recall Bochner’s theorem [7, 1.4.3. Theorem] which says that a function is positive definite if and only if there is a non-negative symmetric measure such that
[TABLE]
Therefore, the positive definite functions are in as any positive definite can be written in the form for some and hence, by equation (2), the inequality
[TABLE]
for any
Conversely, if and is not positive definite, that is,
[TABLE]
for some and then
[TABLE]
where and is defined by Clearly, hence this means that ∎
Now, let with be fixed and let us define the affine subspace
[TABLE]
According to [6, eq. (5) and eq. (12)], let us define the extremal quantities
[TABLE]
and
[TABLE]
[TABLE]
[TABLE]
(It is clear that the definition on coincides with the definition given in [6, eq. (5)]. It is less obvious that the definition of is the same as the one given in [6, eq. (12)]. However, the fact that the nonnegative symmetric measures on are in one-to-one correspondence with the real positive definite functions on by the Fourier transform may convince the reader that the definition of is also correct.)
We mentioned before that and are convex sets in the real Banach space . It is clear that and as (The fact that can be easily seen by the following. The Fourier transform is a contraction from into and ) Therefore, by [2, Lemma 2.1.], the intersection formula
[TABLE]
holds. Consequently, we have So, by this intersection formula, can be rewritten as
[TABLE]
Theorem 2** (Révész, [6]).**
[TABLE]
A short proof.
If then
[TABLE]
as in this case
[TABLE]
Therefore,
On the contrary, if then that is, there exists some such that
[TABLE]
This is necessarily a non-zero element of hence . Therefore, without loss of generality, we can assume that so there exists some such that
[TABLE]
That is,
[TABLE]
for some which means that So, we deduced that implies therefore, The proof is done. ∎
3. Another application of the intersection formula
The second application concerns integral estimates of non-negative positive definite functions. This problem is related to Wiener’s problem [9, 11] and to the recent works [1, 10]. The arguments in this section are partially parallel to the arguments presented in the previous section.
Let denote the real Banach space of all real-valued, symmetric, summable functions on and let us consider its topological dual space endowed with the weak-∗ topology.
Let us define and Clearly, and are convex cones in The closedness of is obvious, and is also closed as the Fourier transform is a continuous (moreover, norm-non-increasing) linear transformation from into and the nonnegative functions form a closed set of with respect to the maximum norm topology. (The symbol denotes the additive group of real numbers modulo and stands for the Banach space of all continuous, symmetric real functions on )
Lemma 3**.**
[TABLE]
and
[TABLE]
Proof of Lemma 3.
The first statement of Lemma 3 is obvious. The proof of the second statement is very similar to the proof of Lemma 1. ∎
Let and be positive integers. Let us define the extremal quantities
[TABLE]
and
[TABLE]
Let us introduce
[TABLE]
and observe that is closed in the weak-∗ topology as it is the intersection of weak-∗ closed sets.
Note that
[TABLE]
and by the result of Lemma 3,
[TABLE]
Remark 4*.*
Let us note that is finite as the set is not empty. Indeed, one can easily check that the function
[TABLE]
is positive definite, and therefore, it is an element of
Theorem 5**.**
[TABLE]
Proof.
The key idea is the observation that and are convex sets in such that and as Therefore, the intersection formula
[TABLE]
holds.
On the one hand, if then
[TABLE]
as holds for any positive definite function Therefore, in this case
[TABLE]
hence
On the other hand, by the intersection formula,
[TABLE]
holds, hence the following argument shows the opposite inequality. If
[TABLE]
then for some and Clearly, this is an element of and hence ∎
Remark 6*.*
We have noted (see Remark 4) that is finite. Therefore, the result of Theorem 5 directly implies the finiteness of
Acknowledgement
The author is grateful to Szilárd Révész for proposing the problems discussed in this paper and for useful communication. The author is also grateful to the anonymous referee for his/her comments which helped to improve the presentation of the paper.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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- 4[4] Sz. Gy. Révész, On Beurling’s prime number theorem, Period. Math. Hungar. 28 (1994), 195-210.
- 5[5] Sz. Gy. Révész, Extremal problems and a duality phenomenon, in: Approximation, Optimization and Computing, North Holland, Amsterdam, 1990, pp. 279-281.
- 6[6] Sz. Gy. Révész, Some trigonometric extremal problems and duality, J. Aust. Math. Soc. Ser. A 50 (1991), 384-390.
- 7[7] W. Rudin, Fourier Analysis on Groups, Wiley Classics Library, 1990.
- 8[8] I. Z. Ruzsa, Connections between the uniform distribution of a sequence and its differences, in: Topics in classical number theory, P. Erdős and G. Halász (Eds.), Coll. Math. Soc. J. Bolyai 34 pp. 1419-1443, North-Holland, Amsterdam, New York, Budapest, 1981.
