Sharp Constants of Approximation Theory. I. Multivariate Bernstein-Nikolskii Type Inequalities
Michael I. Ganzburg

TL;DR
This paper establishes limit relations for sharp constants in multivariate Bernstein-Nikolskii inequalities, connecting trigonometric polynomials and entire functions of exponential type within convex spectral domains.
Contribution
It introduces new limit relations between sharp constants in inequalities for multivariate trigonometric polynomials and entire functions of exponential type.
Findings
Derived limit relations for sharp constants in inequalities.
Connected inequalities for trigonometric polynomials and entire functions.
Enhanced understanding of multivariate approximation inequalities.
Abstract
We prove limit relations between the sharp constants in the multivariate Bernstein-Nikolskii type inequalities for trigonometric polynomials and entire functions of exponential type with the spectrum in a centrally symmetric convex body.
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Sharp Constants of Approximation Theory. I. Multivariate Bernstein-Nikolskii Type Inequalities
Michael I. Ganzburg
Department of Mathematics
Hampton University
Hampton, VA 23668
USA
Abstract.
Given a centrally symmetric convex body , let be the set of all trigonometric polynomials with the spectrum in , and let be the set of all entire functions of exponential type with the spectrum in . We discuss limit relations between the sharp constants in the multivariate Bernstein-Nikolskii inequalities defined by
[TABLE]
where and is a differential operator with constant coefficients. We prove that
[TABLE]
Key words and phrases:
Sharp constants, multivariate Bernstein-Nikolskii inequality, trigonometric polynomials, entire functions of exponential type, multivariate Levitanβs polynomials
2010 Mathematics Subject Classification:
Primary 41A17, 41A63, Secondary 26D05, 26D10
1. Introduction
In this paper we discuss relations between the sharp constants in the multivariate Bernstein-Nikolskii type inequalities for trigonometric polynomials and entire functions of exponential type.
Notation. Let be the Euclidean -dimensional space with elements , the inner product , and the norm . Next, is the -dimensional complex space with elements ; denotes the set of all integral lattice points in ; and is a subset of of all points with nonnegative coordinates. Given , and , let , and be the -dimensional parallelepiped, cube, and ball, respectively. In addition, let ; β ; and , where and are subsets of .
Let be the space of all measurable complex-valued functions on a measurable set with the finite functional
[TABLE]
This functional allows the following βtriangleβ inequality:
[TABLE]
where and for .
Throughout the paper is a centrally symmetric (with respect to the origin) closed convex body in . Its -dimensional volume is denoted by . The set generates the following dual norms on and by
[TABLE]
For example, if , and , then for , , where , and . In particular, , and .
Given , the set of all trigonometric polynomials with complex coefficients is denoted by .
Definition 1.1**.**
We say that an entire function has exponential type if for any there exists a constant such that for all .
The class of all entire function of exponential type is denoted by . Throughout the paper, if no confusion may occur, the same notation is applied to and its restriction to (e. g., in the form ). The class was defined by Stein and Weiss [23, Sect. 3.4]. For and , similar classes were defined by Bernstein [3] and Nikolskii [20], [21, Sects. 3.1, 3.2.6], see also [6, Definition 5.1]. Properties of functions from have been investigated in numerous publications (see, e. g., [3, 20, 21, 23, 19, 10] and references therein). Some of these properties are presented in Section 2. In particular, if , then the norm in Definition 1.1 can be replaced with (see Lemma 2.1(b)).
The Fourier transform of a function or is denoted by the formula
[TABLE]
We use the same notation for the Fourier transform of a tempered distribution on . By the definition (see, e. g., [23, Sect. 1.3]), is a continuous linear functional on the Schwartz class of all test functions on , and is defined by the formula The support of a function or a distribution on is denoted by .
Throughout the paper denote positive constants independent of essential parameters. Occasionally we indicate dependence on certain parameters.
We also use multi-indices and with (i. e., ), and
[TABLE]
In addition, we use the ceiling and floor functions and .
Multivariate Bernstein-Nikolskii Type Inequalities. Let be a linear differential operator with constant coefficients , and let be the total symbol of . We assume that is the identity operator and .
Next, we define sharp constants in multivariate Bernstein-Nikolskii type inequalities for trigonometric polynomials and entire functions of exponential type. Let
[TABLE]
Here, , and . Note that
[TABLE]
Indeed, by Definition 1.1, if and only if , and (1.5) follows from the relations
[TABLE]
A detailed survey of univariate Bernstein-Nikolskii inequalities for , and was presented in [11], so we assume that in all discussions below.
The Bernstein-Nikolskii sharp constants and for can be easily found only for and . Namely,
[TABLE]
For these equalities were obtained by Nessel and Wilmes [19, pp. 10, 11]. The Bernstein sharp constants for can be found in some special cases as well. In particular,
[TABLE]
as . Note that the following limit relations hold true:
[TABLE]
Simple proofs of relations (1.6)-(1.12) are presented in Lemmas 2.6(a), 2.7, and 2.8, while (1.13) and (1.14) follow immediately from (1.9) and (1.10), respectively. Certain sharp Bernstein-type inequalities for functions from in case of are known for special and . In particular, Kamzolov [15, Corollary 2] proved the relation
[TABLE]
where is the Laplace operator. The author [7, Theorem 5], [8, Theorem 2] extended (1.15) to elliptic differential operators with constant coefficients and -dimensional ellipsoids .
So there are just a few examples of finding exact or asymptotically exact values of and for . However, efficient estimates of these constants are possible.
The following multivariate Nikolskii-type inequalities for and functions from and were proved by Nessel and Wilmes [19, Theorems 2, 5]:
[TABLE]
For and similar inequalities were established by Nikolskii [20], [21, Sects. 3.3.5, 3.4.3].
Combining estimates (1.16) and (1.17) with (1.10), we arrive at the crude Bernstein-Nikolskii type inequalities ()
[TABLE]
where is independent of and , and is independent of (see Lemma 2.6(b) for a short proof).
Main Results. Our major results discuss relations between and . In particular, we extend relation (1.11) to any .
Theorem 1.2**.**
If , and , then the following relation holds true:
[TABLE]
In case of a more precise result is valid.
Theorem 1.3**.**
If , and , then exists and
[TABLE]
In addition, there exists a nontrivial function such that
[TABLE]
Remark 1.4*.*
Relations (1.21) and (1.22) show that the function from Theorem 1.3 is an extremal function for .
Remark 1.5*.*
In view of (1.21), (1.12), and (1.13) we believe that the following conjecture is valid.
Conjecture 1.6**.**
The limit exists and for .
Remark 1.7*.*
In definitions (1.3) and (1.4) of the sharp constants we discuss only complex-valued functions and . We can define similarly the βrealβ sharp constants if the suprema in (1.3) and (1.4) are taken over all real-valued functions on from and .
We do not know as to whether the βcomplexβ and βrealβ sharp constants coincide but for this is true. For this fact was proved in [11, Theorem 1.1] and the case of can be proved similarly.
βRealβ analogues of Theorems 1.2 and 1.3 are valid as well. The proof of the βrealβ version of (1.20) is similar to that of Theorem 1.2 if we use Property 3.2 from Section 3. The βrealβ version of (1.21) follows immediately from the fact mentioned above. The βrealβ version of Conjecture 1.6 is believed to be true as well.
Remark 1.8*.*
In the univariate case of , and , Theorems 1.2 and 1.3 for the βrealβ and βcomplexβ sharp constants were proved by the author and Tikhonov [11]. In earlier publications [16, 17], Levin and Lubinsky established versions of Theorems 1.2 and 1.3 on the unit circle for . More precise asymptotics for were obtained by Gorbachev and Martyanov [12, Theorem 1]. Certain extensions of the Levin-Lubinskyβs results to the -dimensional unit sphere in were recently proved by Dai, Gorbachev, and Tikhonov [5, Theorem 1.1].
The proofs of Theorems 1.2 and 1.3 are presented in Section 4. Section 2 contains certain properties of functions from and . Multivariate Levitanβs polynomials are introduced in Section 3.
2. Properties of Entire Functions and Trigonometric
Polynomials
In this section we discuss certain properties of functions from and that are needed for the proofs of Theorems 1.2 and 1.3 (see Lemmas 2.1, 2.3, 2.4). In addition, we prove here certain multivariate Bernstein-Nikolskii type inequalities presented in Section 1 (see Lemmas 2.5 through 2.8). Certain standard facts are included in the following lemma.
Lemma 2.1**.**
*(a) If , then and .
(b) If , then for every and ,*
[TABLE]
(c) Let be a tempered distribution on .
- (i)
If , then .
- (ii)
If , then can be extended to as a function from .
(d) Let be a tempered distribution on . If , then for every .
Proof.
Statement (a) of the lemma follows immediately from the definitions of and . Statement (b) is established in [19, Eq. (4.13)] (cf. [23, Lemma 3.4.11]), while the proof of a Paley-Wiener-Schwartz type theorem (c) is outlined in [19, p. 13]. It remains to prove statement (d). Let be a test function from with . Then for any , the function belongs to and . Therefore, by part (i) of statement (c),
[TABLE]
So , and by part (ii) of statement (c), .
Remark 2.2*.*
The condition in statements (c) and (d) of Lemma 2.1 that is a tempered distribution on is obviously satisfied for . In particular, when , a Paley-Wiener type theorem of Lemma 2.1 (c) was proved in [23, Theorem 3.4.9].
The compactness theorem for the set is discussed below.
Lemma 2.3**.**
For any sequence with , there exist a subsequence and a function such that for every ,
[TABLE]
uniformly on any compact set in .
Proof.
For this compactness result was proved by Nikolskii [21, Theorem 3.3.6]. Next, for any there exists , such that . Note that by Lemma 2.1(a), . Then by the Nikolskiiβs compactness theorem, there exists a subsequence and a function such that (2.1) holds true uniformly on any compact set in . It remains to show that . Indeed, by Lemma 2.1(b),
[TABLE]
Therefore using first (2.1) for and then (2.2), we obtain for any and
[TABLE]
Thus .
Periodization properties of functions from are based on the following version of the Poisson summation formula (cf. [23, Sect. 7.2]).
Lemma 2.4**.**
If and the series is a finite sum, then the series converges in to a function from and
[TABLE]
Proof.
It was proved in [23, Theorem 7.2.4]) that if , then converges in to a function and its Fourier series expansion coincides with the right-hand side of (2.3). Since it is a trigonometric polynomial , we conclude that .
Lemma 2.5**.**
For any and there exists a family of functions from such that for any ,
[TABLE]
Proof.
For and this result was proved by Akhiezer [1, Sect. 84]. We will use the similar construction. Let and let be a continuously -differentiable function on , satisfying the following boundary conditions: . Then the function
[TABLE]
belongs to because integration by parts in the first integral shows that
[TABLE]
Next,
[TABLE]
where
[TABLE]
Note that , by Bernsteinβs inequality, since and . Then we have by (1.2)
[TABLE]
This establishes the lemma.
Lemma 2.6**.**
(a) Relations (1.9) and (1.10) hold true. (b) Inequalities (1.18) and (1.19) are valid.
Proof.
(a) We first note that in the univariate case
[TABLE]
Indeed, the proof of the classical inequality can be found in [4, Theorem 11.3.3] for and in [22] for . Then (2.4) follows from Lemma 2.5. Next, it follows from (2.4) that for every , and ,
[TABLE]
Therefore,
[TABLE]
Using this inequality times, we arrive at the inequality
[TABLE]
This inequality is well-known for (see, e. g., [21, Eq. (3.2.2.8)]). Finally, let be functions from Lemma 2.5. Then the functions , satisfy the inequality
[TABLE]
Thus the second equality in (1.9) follows from (2.7) and (2.8).
It is well known that a periodic analog of (2.4) for is
[TABLE]
see, e. g., [24, Sect. 4.8.62] for and see [2] for . An extremal polynomial in (2.9) is . Then similarly to (2.4) - (2.7), we obtain from (2.9)
[TABLE]
Finally, the polynomial satisfies the inequality
[TABLE]
Thus the first equality in (1.9) follows from (2.10) and (2.11). Relations (1.10) follow immediately from (1.9). This completes the proof of statement (a).
(b) Setting , we see that . In particular, . Then using (1.2), Lemma 2.1(a), and the first relation of (1.10) (see Lemma 2.6(a) for the proof), we obtain
[TABLE]
as . Taking account of the relations
[TABLE]
we arrive at (1.18) from (2.12) and (1.16). Inequality (1.19) can be proved similarly.
Lemma 2.7**.**
Relations (1.6), (1.7), and (1.8) hold true.
Proof.
The proofs of (1.7) and the second relation in (1.8) are based on the Paley-Wiener type theorem (see Lemma 2.1(c) and Remark 2.2). Let . Then
[TABLE]
where and . Therefore,
[TABLE]
Next, it is easy to see that
[TABLE]
The corresponding results for trigonometric polynomials can be proved similarly by using Parsevalβs identity.
Lemma 2.8**.**
Limit relations (1.11) and (1.12) hold true.
Proof.
Let for a point . Given , we define the set . Then . Therefore, for any there exist and such that for all . Hence
[TABLE]
Then (1.12) follows from (1.8) and (2.13).
Further, we assume that . Let be a cube with , satisfying the conditions and . It is easy to see that if is a cube in with an edge length of such that , then . Next denoting by the characteristic function of the set , we see that the sum
[TABLE]
is the Riemann sum of the function , corresponding to the partition
[TABLE]
of . Therefore, this sum converges to as . This establishes (1.11).
3. Multivariate Levitanβs Polynomials
To prove Theorem 1.2, we need a multivariate version of Levitanβs trigonometric polynomials introduced in the univariate case by Levitan [18] and HΓΆrmander [13, 14]. Let us define these polynomials and study their properties.
Let us set
[TABLE]
Then and
[TABLE]
Note that for relations (3.2) follows from a well-known expansion of .
Let . Then for a fixed number the function is an entire function and by Lemma 2.1(b),
[TABLE]
where
[TABLE]
Therefore, and by Nikolskii-type inequality (1.17), . Then by Lemma 2.1(c), . Hence the Fourier series
[TABLE]
coincides with a trigonometric polynomial
[TABLE]
of period in each variable with its spectrum in . This polynomial we call the multivariate Levitanβs polynomial for .
For , and , a trigonometric polynomial of degree was introduced in [18, 13, 14] (see also [1, Sect. 85]). In the case when is a parallelohedron, multivariate Levitanβs polynomials were introduced in [9].
Let us discuss properties of .
Property 3.1**.**
If , then the following representation holds true:
[TABLE]
where is defined in (3.1).
Proof.
Setting , we see that and the series
[TABLE]
is a finite sum. Then using Lemma 2.4, we conclude that (2.3) and (3.6) imply (3.5) for .
Property 3.2**.**
If is a real-valued function from , then is a real-valued polynomial.
This property follows immediately from representation (3.5).
Property 3.3**.**
If , then
[TABLE]
Proof.
We first note that by Nikolskii-type inequality (1.17), so by Property 3.1, is represented by (3.5). If , then
[TABLE]
Indeed, for (3.8) follows immediately from (3.5) since . If , then by HΓΆlderβs inequality, we obtain from relations (3.5) and (3.2) that
[TABLE]
If , then we have from (3.5)
[TABLE]
Thus (3.8) holds true for . Next, integrating (3.8) over and using Fatouβs Lemma, we arrive at (3.7) for . Finally, for (3.7) follows immediately from (3.5) and (3.2).
Next, we discuss three approximation properties of multivariate Levitanβs polynomials.
Property 3.4**.**
If , then for ,
[TABLE]
where is an absolute constant.
Proof.
To prove (3.9), we need to evaluate certain integrals. First, we note that by Fubiniβs theorem,
[TABLE]
because each monomial in the expansion of contains at least one factor of the form , where is an odd number, . Then
[TABLE]
Next, it follows from (3.2), (3.5), and (3.10) that
[TABLE]
Thus (3.9) is established.
Property 3.5**.**
Let and let be a linear differential operator with constant coefficients . Then for and ,
[TABLE]
where is independent of , and .
Proof.
For Property 3.5 follows from Property 3.4, so we assume that . We also note that the uniform convergence of all series below follows easily from identity (3.2), representation (3.5), and Bernstein-type inequality (1.19) for . Next, recalling notation , we see from (3.5) that
[TABLE]
Since by Lemma 2.1(d), Remark 2.2, and Bernstein-type inequality (1.19) for , we have from Property 3.4
[TABLE]
where is independent of and . Further, using Bernstein-type inequality (1.19) for again, we obtain by the multivariate Leibniz formula
[TABLE]
where and is independent of and . It remains to estimate the series
[TABLE]
where
[TABLE]
by inequalities (2.12) and (2.14) in [11]. Therefore, by (3), (3.16) and (3.17), we obtain the estimate
[TABLE]
where is independent of and . Combining (3) with (3.14) and (3.18), we arrive at (3.12).
Property 3.6**.**
Let be a function such that . For any , and there exists a family of numbers , satisfying the following conditions:
- (a)
.
- (b)
.
- (c)
For every family of functions such that , and the following relation holds true:
[TABLE]
Proof.
Let us set , where and
[TABLE]
for . Then conditions (a) and (b) are satisfied. Next by Property 3.4 for and by Property 3.5 for , we obtain for
[TABLE]
as . Hence condition (c) is satisfied as well.
Remark 3.7*.*
In case of and , Property 3.1 was established in [18, 13, 14], while Properties 3.2 through 3.6 were proved in [11].
4. Proofs of Theorems
Proof of Theorem 1.2. Let , where , and let be defined by (3.3). Setting , we see from Definition 1.1 and Nikolskii-type inequality (1.17) that . We can now consider the multivariate Levitanβs polynomial defined by (3.4) and (3.5). Since by (3.4), we obtain for
[TABLE]
In addition, we note that by Bernstein-Nikolskii type inequality (1.19). Therefore setting , and using Properties 3.6, 3.3, and inequalities (1.2) and (4.1), we obtain
[TABLE]
Thus (1.20) is established.
Proof of Theorem 1.3. We first note that there exists such that for and , the following crude estimates of hold true:
[TABLE]
The left and right inequalities in (4.2) follow from (1.20) and (1.18), respectively.
We will prove the theorem by constructing a nontrivial function , such that
[TABLE]
Then combining (4.3) with (1.20) for , we see that exists and
[TABLE]
This proves (1.21). In addition, is an extremal function in (4.4); that is, (1.22) is valid.
It remains to construct a function , satisfying (4.3). Let be a polynomial, satisfying the equality
[TABLE]
The existence of an extremal polynomial in (4.5) can be proved by the standard compactness argument. Indeed, given , let satisfy the following relations:
[TABLE]
and
[TABLE]
Then there exists a nontrivial polynomial and a sequence such that for any , uniformly on . Thus (4.5) holds true.
Next setting , we see that . In addition, it follows from (4.5) that
[TABLE]
Moreover, we can assume that
[TABLE]
Note that normalization (4.8) is different compared with (4.6). Normalization (4.6) was used only for the proof of the existence of extremal polynomials in (4.5).
Then we obtain from (4.7), (4.8), and (4.2)
[TABLE]
Let be a sequence such that
[TABLE]
Using now the compactness theorem of Lemma 2.3 for the sequence of functions from uniformly bounded by (4.9), we see that there exist a function and a subsequence such that
[TABLE]
uniformly on any cube . Moreover, by (4.8) and (4.11),
[TABLE]
In addition, using (1.2), (4.11), (4.7), and (4.8), we obtain for any cube ,
[TABLE]
Next using (4) and (4.2), we see that
[TABLE]
Therefore, is a nontrivial function from , by (4.12) and (4.14). Thus for any cube , we obtain from (4.10), (4.7), (4.11), and (4.12)
[TABLE]
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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