Markov's inequality and $C^{\infty}$ functions on algebraic sets
Tomasz Beberok

TL;DR
This paper extends the equivalence between Markov's and Bernstein's properties from $C^{ abla}$$ abla$ determining sets to compact subsets of algebraic varieties, deepening understanding of polynomial approximation on algebraic sets.
Contribution
It proves an analogous equivalence result for compact subsets of algebraic varieties, generalizing known properties from smooth manifolds to algebraic sets.
Findings
Markov's property is equivalent to Bernstein's property on algebraic sets.
The result generalizes classical approximation theory to algebraic varieties.
Provides a foundation for further study of polynomial approximation on algebraic structures.
Abstract
It is known that for determining sets Markov's property is equivalent to Bernstein's property. The purpose of this paper is to prove an analogous result in the case of compact subsets of algebraic varieties.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPolynomial and algebraic computation · Mathematical Dynamics and Fractals · Advanced Differential Equations and Dynamical Systems
-norm estimate for the Bergman projection on Hartogs triangle
Tomasz Beberok
Faculty of Mathematics and Computer Science, Jagiellonian University,
Lojasiewicza 6, 30-048 Krakow, Poland
**Markov’s inequality and functions on algebraic sets **
Tomasz Beberok
Abstract. It is known that for determining sets Markov’s property is equivalent to Bernstein’s property. The purpose of this paper is to prove an analogous result in the case of compact subsets of algebraic varieties.
Keywords: Markov inequality; functions; algebraic sets AMS Subject Classifications: primary 41A17, 14P05, secondary 41A25, 41A10
1 Introduction
Jackson’s famous estimate of the error of the best polynomial approximation for a fixed function is one of the main theorems in constructive function theory. According to a multivariate version of the classical Jackson theorem (see e.g. [28]), if is a compact cube in and is a function on then
[TABLE]
where the constant depends only on , and . As usual, , is the space of all algebraic polynomials of degree at most and is the sup norm on .
As an application of Jackson’s theorem, one can prove classical results like the well known Bernstein theorem (see e.g. [16], [14]) which allows to obtain a characterization of functions:
*A function defined on can be extended to a function on if and only if *
[TABLE]
A natural question arises: for which compact subsets of the following Bernstein property holds? for every function if the sequence is rapidly decreasing (i.e. for all ), then there exists a function such that on . In 1990, Pleśniak proved an important theorem [23] (see also [22] for previous results) that answers to an above question and provides equivalence of the Markov inequality
[TABLE]
and Bernstein’s property for determining sets. Our goal is to find a generalization of this fact for sets which are not determining.
The problems that appear naturally in various fields of science, especially in natural and technical science concern not only determining sets but also curves and varieties in spaces of several variables. Therefore, the specialists in approximation theory start to work with algebraic sets, analytic varieties etc. In the early seventies of the twentieth century, approximation problems on compact subsets of algebraic sets were considered in the pioneering Ragozin papers ([24], [25]). Fundamental criterion of algebraicity for a pure-dimensional analytic subvariety in is due to Sadullaev [26]. This criterion indicates why polynomial approximation makes sense on compact subsets of algebraic varieties. Zeriahi (see [29, 30]) applied Sadullaev’s criterion to obtain Bernstein-Walsh-Siciak theorems for compact subsets of algebraic varieties.
Some generalizations of the classical polynomial inequalities considered for curves and submanifolds in led to show interesting characterizations. For instance, according to [10], a submanifold of admits the tangential Markov inequality with the exponent one if and only if is algebraic.
Over the last few years, results concerning interpolation, polynomial inequalities and pluripotential theory on algebraic sets and analytic varieties have gained in interest, see e.g. papers by Ma’u (see e.g. [1], [12]), Bos, Brudnyi (see e.g. [9], [13]), Bos, Levenberg, Waldron (see e.g. [11]), Cox (see e.g. [15]), Yomdin (see e.g. [19], [18]), Izzo (see [20]), Fefferman [17], Baran and Pleśniak [4, 5], Skiba [27] etc. This is an active branch of mathematics, see for instance the recent paper [7] by Białas-Cież, Calvi and Kowalska regarding polynomial inequalities on certain algebraic hypersurfaces.
2 Markov inequality
Our intention in this section is to study an extension of the Markov inequality to compact subsets of algebraic set. We will consider sets of the form
[TABLE]
where are polynomials for every and . Since every polynomial from , on , coincides with some polynomial from (see [7]), we have that the ring of polynomials on is
[TABLE]
where denotes the subspace of formed of all polynomials of the form with . A considerations in [3] and [7] suggest the following definition
Definition 2.1** (Markov set and Markov inequality on F)**
Let F be an infinite dimensional subspace of such that implies for all . A compact set is said to be a F-Markov set if there exist such that
[TABLE]
This inequality is called a F-Markov inequality for .
Note that the space is obviously invariant by derivation and it suffices to check the property for . Now we give an example to demonstrate that the above definition makes sense.
Example 2.1
Let . The compact set is a -Markov.
**Proof. ** Let . Then for some for . Now
[TABLE]
where . Since is symmetric we have
[TABLE]
By the classical Markov inequality, Bernstein’s inequality and [6], respectively, we get
[TABLE]
The classical inequality of Schur yields the following
[TABLE]
Therefore we see immediately that
[TABLE]
The fact that , together with the triangle inequality, implies
[TABLE]
Next, we consider the case of . It is clear that
[TABLE]
Again by Schur’s inequality and Lemma 2.4 in [2], we have
[TABLE]
Now a similar proof to that of the previous case gives the following
[TABLE]
That is what we wished to prove.
Next example shows that F-Markov inequality depends not only on the set but also on the family F.
Example 2.2
Consider set . The compact set is a -Markov, but it is not -Markov.
**Proof. ** The fact that is a -Markov follows form [3] and [8]. So we need only show that is not -Markov. Seeking a contradiction, we consider the sequence of polynomials
[TABLE]
It is well known that
[TABLE]
Hence
[TABLE]
where is the hypergeometric function defined for by the power series
[TABLE]
Here is the (rising) Pochhammer symbol. If , then is the increasing function of , since its Taylor coefficients are all positive. Therefore, by and , we have
[TABLE]
If we recall that , then we may conclude that
[TABLE]
This gives a contradiction, and the result is established.
The Example 2.1 illustrates the more general idea.
Example 2.3
Combining methods used in [3] with method from Example 2.1, one can provide other examples of -Markov sets by considering algebraic sets of the form
[TABLE]
where and .
3 functions
First we introduce the subspace of the space related to an algebraic set defined by (1). We define
[TABLE]
Since every cube is a Markov set, then by Pleśniak’s theorem (see [23]) . It should be noted that Pleśniak’s result, together with the Jackson theorem, implies
[TABLE]
We say that is a function on a compact subset of if, there exists a function with . We denote by the space of such functions. Following Zerner [31], similarly as in [23], we introduce in the seminorms , and
[TABLE]
for . By the definition of the set the ’s are indeed seminorms on . Let be the topology for determined by the seminorms . In general, this topology is not complete.
The natural topology on the set is determined by the seminorms , where for each compact set in and each ,
[TABLE]
Therefore we consider the topology for determined by the seminorms
[TABLE]
Then is exactly the quotient topology of the space , where is endowed with the natural topology and . Since is complete and is a closed subspace of , the space is also complete. In view of the fact that is a closed subspace of , the quotient space is complete, whence is a Fréchet space.
To prove the main result, we will need the following lemma (see, e.g., [21], 1.4.2).
Lemma 3.1
There are positive constants depending only on such that for each compact set in and each , one can find a function on satisfying on , in a neighborhood of , if , and for all and , .
4 Main result
Before starting the main result, we prove the following lemma.
Lemma 4.1
Let be a -Markov set. Also define
[TABLE]
If is a -Markov set (with and ), then is a Markov set (as a subset of ) and for every polynomial there exist constant (depending only on and ) such that
[TABLE]
for every . Conversely, if is a Markov set (with and ) and for every polynomial there exist (depending only on and ) such that
[TABLE]
then is a -Markov set.
**Proof. ** Let be a -Markov set. The proof starts from the observation that
[TABLE]
Therefore the -Markov property of the set gives
[TABLE]
If then
[TABLE]
Hence there exists constant (depending only on the set ) such that
[TABLE]
Continuing this process one can show that there exist constant (depending only on the set and ) such that
[TABLE]
To prove the converse direction, assume that is a Markov set and (5) holds. Then for every polynomial we have
[TABLE]
Since is compact, there exists , depending only on the set , such that
[TABLE]
for every and . Therefore
[TABLE]
Then, using the fact that is a Markov set, there exists constants and such that
[TABLE]
Finally, we use (5) to see that
[TABLE]
That concludes the proof.
We say that the set is determining if for each , implies , for all . Now, our main result reads as follows.
Theorem 4.1
If E is a determining compact subset of then the following statements are equivalent:
(i)
(-Markov Inequality) There exist positive constants and such that for each polynomial and each ,
[TABLE]
(ii)
*There exist positive constants and such that for every *
* of degree at most , ,*
[TABLE]
(iii)
*(Bernstein’s Theorem) For every function , if the sequence *
* is rapidly decreasing then there is a function on such that .*
(iv)
The space is complete and .
(v)
The topologies and for coincide.
**Proof. ** The proof of equivalence of (i) and (ii) is almost the same as in [23], and we omit the details. Next we show that . Suppose that we have function such that for each ,
[TABLE]
Here is a metric projection of onto (). Set, as in Lemma 4.1,
[TABLE]
We assume that is an integer so large that both (i) and (ii) are valid for . Let and for take a function of Lemma 3.1 corresponding to and . We will show that
[TABLE]
determines a function from such that . In order to prove that , it suffices to check that
[TABLE]
for every . Thus, if , then, by (i) and (ii),
[TABLE]
where . From Lemma 4.1 there is a constant so that
[TABLE]
Now if , then
[TABLE]
with a constant independent of .
Assume now (iii). It is clear that and (iv) follows from continuity of the map . Let now be a compact cube in containing in its interior. By Jackson’s theorem, for every there is a constant such that for each ,
[TABLE]
Hence, if is complete, by Banach’s theorem the topologies and are equal, and we get (v).
The final step of the proof is to show that (v) implies (i). If topologies and coincide, there are a positive constant and an integer such that for each , we have . Since is determining and , we must have . In particular, if , we get
[TABLE]
for , which implies that is a -Markov set. (We needed the assumption that is determining.)
Remark 4.1
It is worth noting that, if satisfies (i) then must be determining. To see this, take a compact cube in containing in its interior. We let such that on . It follows from the definition of that
[TABLE]
is rapidly decreasing and by Markov’s inequality, for each , we have
[TABLE]
Finally, by , we obtain that for every .
Acknowledgment
The author was supported by the Polish National Science Centre (NCN) Opus grant no. 2017/25/B/ST1/00906.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] W. Baleikorocau, S. Ma’u, Chebyshev constants, transfinite diameter and computation on complex algebraic curves, Comput. Meth. Funct. Theory, 15 (2015) 291–322.
- 2[2] M. Baran, Markov inequality on sets with polynomial parametrization, Ann. Polon. Math. 60 (1) (1994) 69–79.
- 3[3] M. Baran, A. Kowalska, Sets with the Bernstein and generalized Markov properties, Ann. Polon. Math. 111 (3) (2014) 259–270.
- 4[4] M. Baran, W. Pleśniak, Polynomial inequalities on algebraic sets, Studia Math. 141 (2000) 209–219.
- 5[5] M. Baran, W. Pleśniak, Characterization of compact subsets of algebraic varieties in terms of Bernstein type inequalities, Studia Math. 141 (3) (2000) 221–234.
- 6[6] L. Białas-Cież, Equivalence of Markov’s and Schur’s inequalities on compact subsets of the complex plane, J. Inequal. Appl. 3 (1) (1999) 45–49.
- 7[7] L. Białas-Cież, J.P. Calvi, A. Kowalska, Polynomial inequalities on certain algebraic hypersurfaces, J. Math. Anal. Appl. 459 (2) (2018) 822–838.
- 8[8] P. Borwei, Markov’s and Bernstein’s inequalities on disjoint intervals, Canad. J. Math., 33 (1981) 201–209.
