Asymptotic Properties of Derivatives of the Stieltjes Polynomials
Abstract
Let and Pλ,n(x) be the ultraspherical polynomials with respect to wλ(x). Then, we denote the Stieltjes polynomials with respect to wλ(x) by Eλ,n+1(x) satisfying , 0 ≤ m < n + 1, , m = n + 1. In this paper, we investigate asymptotic properties of derivatives of the Stieltjes polynomials Eλ,n+1(x) and the product Eλ,n+1(x)Pλ,n(x). Especially, we estimate the even-order derivative values of Eλ,n+1(x) and Eλ,n+1(x)Pλ,n(x) at the zeros of Eλ,n+1(x) and the product Eλ,n+1(x)Pλ,n(x), respectively. Moreover, we estimate asymptotic representations for the odd derivatives values of Eλ,n+1(x) and Eλ,n+1(x)Pλ,n(x) at the zeros of Eλ,n+1(x) and Eλ,n+1(x)Pλ,n(x) on a closed subset of (−1, 1), respectively. These estimates will play important roles in investigating convergence and divergence of the higher-order Hermite-Fejér interpolation polynomials.
1. Introduction
The polynomials Eλ,n+1(x), introduced by Stieltjes and studied by Szegö, have been used in numerical integration, whereas the polynomials Pλ,n(x)Eλ,n+1(x) have been used in extended Lagrange interpolation. In this paper, we will prove pointwise and asymptotic estimates for the higher-order derivatives of Eλ,n+1(x) and Pλ,n(x)Eλ,n+1(x). It is well known that these kind of estimates are useful for studying interpolation processes with multiple nodes.
In 1934, G. Szegö [1] showed that the zeros of the generalized Stieltjes polynomials Eλ,n+1(x) are real and inside [−1,1] and interlace with the zeros of Pλ,n(x) whenever 0 ⩽ λ ⩽ 2. Recently, several authors [2–8] studied further interesting properties for these Stieltjes polynomials. Ehrich and Mastroianni [3, 4] gave accurate pointwise bounds of Eλ,n+1(x) (0 ⩽ λ ⩽ 1) and the product Fλ,2n+1∶ = Eλ,n+1(x)Pλ,n(x) (0 ⩽ λ ⩽ 1) on [−1,1], and they estimated asymptotic representations for and at the zeros of Eλ,n+1(x) and Fλ,2n+1(x), respectively. In [6], pointwise upper bounds of , , , and are obtained using the asymptotic differential relations of the first and the second order for the Stieltjes polynomials Eλ,n+1(x) (0 ⩽ λ ⩽ 1) and Fλ,2n+1(x) (0 ⩽ λ ⩽ 1). Also the values of and at the zeros of Eλ,n+1(x) and Fλ,2n+1(x) are estimated in [6]. Moreover, using the results of [6], the Lebesgue constants of Hermite-Fejér interpolatory process are estimated in [7].
In this paper, we find pointwise upper bounds of and for two cases of an odd order and of even order. Using these relations, we investigate asymptotic properties of derivatives of the Stieltjes polynomials Eλ,n+1(x) and Fλ,2n+1(x) and we also estimate the values of and at the zeros of Eλ,n+1(x) and Fλ,2n+1(x), respectively. Especially, for the value of at the zeros of Fλ,2n+1(x), we will estimate and for an odd r at the zeros of Eλ,n+1(x) and Pλ,n(x), respectively. Finally, we investigate asymptotic representations for the values of and at the zeros of Eλ,n+1(x) and Fλ,2n+1(x) on a closed subset of (−1,1), respectively. These estimates will play important roles in investigating convergence and divergence of the higher-order Hermite-Fejér interpolation polynomials.
This paper is organized as follows. In Section 2, we will introduce the main results. In Section 3, we will introduce the known results in order to prove the main results. Finally, we will prove the results in Section 4.
2. Main Results
We first introduce some notations, which we use in the following. For the ultraspherical polynomials Pλ,n, λ ≠ 0, we use the normalization and then we know that Pλ,n(1) ~ n2λ−1. We denote the zeros of Pλ,n by , ν = 1, …, n, and the zeros of Stieltjes polynomials Eλ,n+1 by , μ = 1, …, n + 1. We denote the zeros of Fλ,2n+1∶ = Pλ,nEλ,n+1 by , ν = 1, …, 2n + 1. All nodes are ordered by increasing magnitude. We set , and, for any two sequences {bn} n and {cn} n of nonzero real numbers (or functions), we write bn ≲cn, if there exists a constant C > 0, independent of n (and x) such that bn ⩽ Ccn for n large enough and write bn ~ cn if bn≲cn and cn≲bn. We denote by 𝒫n the space of polynomials of degree at most n.
Theorem 2.1. Let 0 < λ < 1 and r⩾1 be a positive integer. Then, for all ,
Theorem 2.2. Let 0 < λ < 1 and r⩾1 be a positive integer. Then, for all ,
In the following, we also estimate the values of and , ℓ⩾1 at the zeros of Eλ,n+1(x) and the zeros of Fλ,2n+1(x), respectively.
Theorem 2.3. Let 0 < λ < 1 and r⩾2 be an even integer. For 1 ⩽ μ ⩽ n + 1, one has
Theorem 2.4. Let 0 < λ < 1 and r⩾2 be an even integer. For 1 ⩽ ν ⩽ 2n + 1, one has
Finally, we obtain the asymptotic representations for the values of and at the zeros of Eλ,n+1(x) and Fλ,2n+1(x) on a closed subset of (−1,1), respectively.
Theorem 2.5. Let 0 < λ < 1 and 0 < ɛ < 1. Suppose . Then,
- (a)
()
- (b)
()In addition,()
Theorem 2.6. Let 0 < λ < 1 and 0 < ɛ < 1. Suppose . Then,
- (a)
()
- (b)
()In addition,()
Theorem 2.7. Let 0 < λ < 1 and 0 < ɛ < 1. Suppose . Then, one has, for a positive integer ℓ⩾1,
3. The Known Results
In this section, we will introduce the known results in [4, 6, 9] to prove main results.
Proposition 3.1. (a) Let λ > −1/2. Then, Pλ,n(x) satisfies the second-order differential equation as follows:
(b) Let λ > −1/2. Then,
(c) Let λ > −1/2. Then, for 1 ⩽ μ ⩽ n + 1,
(d) Let λ > −1/2. Then, for 1 ⩽ ν ⩽ n,
(e) Let λ > −1/2. Then, for x ∈ (−1,1) and r⩾0,
(f) Let 0 ⩽ λ ⩽ 1. Then, for 1 ⩽ ν ⩽ n,
(g) Let λ > −1/2 and r⩾0. Then, Pλ,n(x) satisfies the higher-order differential equation as follows:
Proof. (a) It is from [9, (4.2.1)]. (b) It is from [9, (4.7.14)]. (c) It is from [6, Lemma 3.4]. (d) It is from [9, (8.9.7)]. (e) For r = 0, it follows from [9, (7.33.5)], and, for r⩾1, it comes from (b) and the case of r = 0. (f) It is from [6, Lemma 3.3 (3.23)]. (g) Equation (3.7) comes from (a).
Proposition 3.2 (see [4].)Let 0 < λ < 1. Let , μ = 1, …, n + 1 and , ν = 1, …, 2n + 1. Then, for μ = 0,1, …, n + 2 and ν = 0,1, …, 2n + 2,
Proposition 3.3 ([6, Proposition 2.3]). Let 0 < λ < 1. Then, for all x ∈ [−1,1],
Proposition 3.4 ([4, Theorem 2.1]). Let 0 < λ < 1. Then, for n⩾0,
Proposition 3.5 ([6, Theorem 2.5]). Let 0 < λ < 1.
- (a)
For all ,
()Moreover, one has, for ,() - (b)
For all ,
()Moreover, one has, for ,()
Proposition 3.6 ([6, Corollary 2.6]). Let 0 < λ < 1. Then, for all x ∈ [−1,1],
Proposition 3.7 ([6, Corollary 2.7]). Let 0 < λ < 1.
- (a)
For all ,
()Moreover, one has, for ,() - (b)
For all ,
()Moreover, one has, for ,()
Proposition 3.8 ([4, Lemma 5.5]). Let 0 < λ < 1. Then, for μ = 1,2, …, n + 1,
We now estimate the second derivatives at the zeros of Eλ,n+1 and Fλ,2n+1.
Proposition 3.9 ([6, Theorem 2.9]). Let 0 < λ < 1. Then, for μ = 1,2, …, n + 1,
4. The Proofs of Main Results
In the following, we state the asymptotic differential relation of the higher order of Eλ,n+1.
Lemma 4.1. Let 0 < λ < 1. Then, for all x ∈ [−1,1] and r⩾2,
Proof. For r⩾2, (4.3) is obtained by r − 2 times differentiation of (3.9). Equation (4.6) follows by (3.11) and the use of Markov-Bernstein inequality. Now, we prove (4.4). We know that the Chebyshev polynomial Tn(x) satisfies the second-order differential equation
We obtain pointwise upper bounds of for two cases of an odd order and an even order in the following.
Lemma 4.2. Let 0 < λ < 1 and r⩾2. Let . If r is even, then one has
Proof. Let r⩾2. From (4.3) and (4.4), we have, for ,
Lemma 4.3. Let −1 < x1 < x2 < ⋯<xn < 1 and
Proof. Since the sign of P′(xi) is (−1) n−i, it is proved.
Lemma 4.4. Let r be a nonnegative integer. Then, has distinct n + 1 − r real zeros on (−1,1). If one lets be the zeros of the polynomial with
Proof. From Lemma 4.3, we know that has distinct real n + 1 − r zeros on (−1,1). By the interlaced zeros property of Lemma 4.3, we see that, for k = 1, …, n + 1 − r,
Proof of Theorem 2.1. Let r⩾1. Equation (2.2) comes from (4.15), (4.16), (3.12), and (3.13). From Propositions 3.4, 3.5, and (4.19), we have
Lemma 4.5. Let ℓ be a nonnegative integer and . Then,
Proof. (a) When ℓ = 0, it is obvious from (3.5) and (3.12). Now, suppose ℓ⩾1. From (3.12), (2.2), and (3.5), we have
(b) From (4.4) and (3.5), we have
(c) Similarly to the proof of (a), we have, from (2.2) and (3.5),
Lemma 4.6. Let 0 < λ < 1. Then, for all x ∈ [−1,1] and r⩾2,
Proof. Similarly to the proof of Lemma 4.1, (4.35) is obtained by r − 2 times differentiation of the second-order differential relation with respect to Fλ,2n+1(x), that is, (3.17). So it is sufficient to prove (4.36) and (4.38). From (4.37), we know that
Lemma 4.7. Let 0 < λ < 1. Then, for r⩾2, if r is even, one has, for ,
Proof of Theorem 2.2. Equation (2.5) comes from Lemma 4.7 and Proposition 3.7. We will show (2.6) and (2.7). From Proposition 3.7, we see
Corollary 4.8. Let 0 < λ < 1 and r⩾2. Then, for ,
Lemma 4.9. For 1 ⩽ μ ⩽ n + 1 and 1 ⩽ ν ⩽ 2n + 1,
Proof. Since we know from (3.24) and (3.25) that
Lemma 4.10. Let 0 < λ < 1 and r⩾1. Let r be an odd integer.
- (a)
For 1 ⩽ μ ⩽ n + 1,
() - (b)
For 1 ⩽ ν ⩽ n,
()
Proof. (a) We know, from (3.3),
(b) For an odd integer r⩾1, we have from (3.6), (4.16), and (4.52)
Lemma 4.11. Let r⩾2. If r is even, then
Lemma 4.12. Let k be a positive integer. Then, one has, for 1 ⩽ ν ⩽ 2n + 1,
Proof. From (4.37), we know that
Proof of Theorem 2.4. When r = 2, (2.9) holds from (3.27). Let even r > 2, and suppose that (2.9) holds for r − 2. Since we know by (4.35), (2.5), (4.62), and (4.19)
Proof of Theorem 2.5. (a) From (4.3), we know that
(b) Similarly to the proof of (a), by (4.51), (3.3), and (3.7), we can obtain
Proof of Theorem 2.6. (a) From (3.9), we know that
(b) From (3.7), we know that
Lemma 4.13. Let 0 < ɛ < 1 and . Then, for a nonnegative integer ℓ⩾0,
Proof. Let . From (4.37) and Lemma 4.5, we see that
Acknowledgment
The authors thank the referees for many kind suggestions and comments.