Abstract:
Multipliers are studied for Fourier series in polynomials orthogonal in continuous-discrete Sobolev spaces. For the multiplier operator, existence results and norm estimates are obtained. The proofs are based on a representation of the Fejér kernel, the construction of a ‘humpbacked majorant’ and estimates for the norms of maximal functions.
Bibliography: 45 titles.
Keywords:
orthogonal polynomials, Fourier series, multipliers, Sobolev polynomials, norm of an operator.
Let θ(x) be a finite positive Borel measure with support on the interval [−1,1] with infinite number of points of increase in its support, and let ak, −1⩽ak⩽1, k=1,2,…,m, be some points. Given L2θ-functions f and g that are differentiable at the points ak, consider the inner product
The polynomials ˆqn(x), n∈Z+, are called Sobolev polynomials (or Sobolev type polynomials).
Such systems (and their differential analogues) appeared in the classical book [1] in the study of boundary-value problems for second-order differential operators, in the problem of classification of eigenfunctions of fourth-order linear differential operators (see [2] and [3]), and in the problem of best polynomial approximation in discrete Sobolev spaces (see [4]). Orthogonal systems in Sobolev spaces have been studied extensively in recent years (see the survey [5], and a series of papers by Sharapudinov [6]–[8] with the references given there). The inner product (1.1) and the corresponding orthogonal systems (and their differential analogues) play an important role in many problems of the theory of functions, functional analysis, quantum mechanics, mathematical physics and numerical mathematics (see [9]–[18]).
Given p, 1⩽p<∞, consider the set of functions
Rp={f:∫1−1|f(x)|pdθ(x)<∞ and f(i)(ak) exists for i=0,1,2,…,Nk,where −1⩽ak⩽1,k=1,2,…,m}.
In particular,
R1≡R={f:∫1−1|f(x)|dθ(x)<∞ and f(i)(ak) exists for i=0,1,2,…,Nk,where −1⩽ak⩽1,k=1,2,…,m}.
In view of the inclusion
R⊃Rp,1<p<∞,
the proofs (and statements) of the results that follow are mostly given for p=1.
With each function f∈R, we associate the Fourier-Sobolev series
The mapping T is called a multiplier operator, the sequence Φ={ϕk}∞k=0 is known as a multiplier (a multiplier sequence), and the series (1.7) is called a multiplier series.
Here we are concerned with the problem of finding conditions on a system {ˆqn(x)} and elements of a multiplier sequence (1.6) for which the definition of a multiplier operator is consistent and the norm of the multiplier operator in continuous-discrete Sobolev spaces can be estimated.
It is known that, according to the generalized Favard theorem for Sobolev spaces (see [19]), an orthogonal system of polynomials can equivalently be defined via a measure or with the help of recurrence relations. In this paper we consider the approach based on recurrence relations (see (3.7), (3.36), (4.8)).
It would be interesting to study the above problem in the case when a system of orthogonal polynomials is defined via a measure (an inner product). Here we only note that estimate (3.7) can be tested with the help of Lemma 3.2 from [20].
It is worth pointing out that, unlike the investigations in [6]–[8], here we are concentred with different systems of orthogonal polynomials and we examine different problems. Some results obtained below were announced in [21] and [22].
§ 2. Auxiliary results
Let N∗k be the natural number defined by
N∗k={Nk+1if Nk is odd,Nk+2if Nk is even.
We also set
wN(x)=m∏k=1(x−ak)N∗k,N=m∑k=1N∗k.
Lemma 2.1 (see [20], Theorem 2.3). The orthonormal polynomials ˆqn(x) satisfy the recurrence relation
Let (a,b) be a fixed (open or closed) interval and let be \rho be an absolutely continuous positive Borel measure on (a,b). Given a function f\in L^1_\rho((a,b)), the Hardy-Littlewood maximal function M_\rho f is defined by
A nonnegative function H^*_n(t,x), n\in\mathbb{Z}_+, x\in(a,b), is called a humpbacked majorant for the sequence H_n(t,x) (of kernels of the integrals) with respect to t at the point x\in(a,b) if:
where the positive constant C is independent of n\in\mathbb{Z}_+ and x\in(a,b), then H^*_n(t,x) is called an integrable humpbacked majorant of the function H_n(t,x) on (a,b).
Lemma 2.3 (see [23], [24], Ch. 6.3, p. 249, and [25]). Let \rho be an absolutely continuous positive Borel measure on (a,b) and let the function H_n(t,x) have an integrable humpbacked majorant H^*_n(t,x) Then the following results hold for the integral I_n(f;x) in (2.7):
Remark 2.1. In the definition of H^*_n(t,x) and the results that follow, in place of x\in(a,b) we can consider x in a set F\subseteq(a,b) (with appropriate modifications).
Lemma 2.4 (Fatou; see [26], Ch. 3, § 16, and [27], Ch. III, § 19, Exercise 35). If a sequence of nonnegative measurable functions f_1(x),f_2(x),\dots converges almost everywhere on E to a function F(x), then
If x_0\in[-1,1], then the polynomial w_N(x)-w_N(x_0) can have more than one zero on [-1, 1], which is not convenient for further analysis. So instead of w_N(x) we consider the polynomial \displaystyle\pi_{N+1}(x)=\int^x_{-1} w_N(t)\,dt. Now, since w_N(x) is positive for x_0\neq a_s, s=1,2,\dots,m, the function \pi_{N+1}(x)-\pi_{N+1}(x_0) has the unique zero x_0 on [-1,1]. The derivatives \pi_{N+1}(x) vanish at the points a_s, and so we have \langle \pi_{N+1}\widehat{q}_n, \widehat{q}_m\rangle=\langle \widehat{q}_n, \pi_{N+1}\widehat{q}_m\rangle. Therefore, the polynomials \widehat{q}_n(x) satisfy the recurrence relation (see [20])
where the constant C is independent of t\in(-1,1) and x\in K.
Remark 3.1. If the polynomial w_N(x)-w_N(x_0) has at most one zero on [-1, 1], then recurrence relation (2.2) is sufficient for our further analysis; in this case it is only required to verify (3.5), (3.6) and check the further conditions imposed on the system \widehat{q}_n(x), n\in\mathbb{Z}_+.
Lemma 3.1. The following analogue of the Christoffel-Darboux formula holds for the Dirichlet kernel D_n(t,x) of an orthonormal system of polynomials \{\widehat{q}_n\}^\infty_{n=0}:
The proof of the Christoffel-Darboux formula follows directly from recurrence relation (3.3) (see Lemma 3.3 in [20], in which the kernel is represented in a different form); in the limiting case l’Hôpital’s rule should be applied.
Lemma 3.2. Let there exist a positive continuous function h(x) that is \theta-integrable on \varepsilon_m and satisfies
Since the coefficients d_{l, j}, M_{s,i} are bounded, it follows that |\widehat{q}_n(x)|\leqslant h(x), x\in\varepsilon_m, where h(x) is continuous on \varepsilon_m, uniformly bounded on compact subsets K of \varepsilon_m, and \lim_{n\to\infty}\widehat{q}_n^{\,(i)}(a_s)=0 (see (2.5)). This proves Lemma 3.2.
Remark 3.2. Note that in the actual fact we have also proved that, under the hypotheses of Lemma 3.2, at each point x\in\varepsilon_m (and uniformly on K),
Lemma 3.3. Let condition (3.7) be met, the measure d\theta(x) be absolutely continuous on \varepsilon_m, let {d\theta(x)}/{dx}=\omega(x), and let \omega(x) be a continuous positive integrable function on \varepsilon_m:
\begin{equation}
d\theta(x)=\omega(x)\,dx, \qquad 0<\omega(x)\textit{ is continuous and integrable on }\varepsilon_m
\end{equation}
\tag{3.8}
(recall that \theta(\{a_k\})=0, k=1,2,\dots,m: see (1.2)).
Let K be a compact subset of \varepsilon_m; this set can be covered by a finite number of compact subsets of the intervals (a_{k},a_{k+1}), k=0,1,\dots,m (some of which are possibly empty).
Let us show that this estimate holds on any compact subset [a_k+h^{(k)}, {a_{k+1}+h^{(k+1)}}] of (a_k,a_{k+1}).
Assume that x\in K\cap (a_{k_0},a_{k_0+1}) for some k_0, 0\leqslant k_0\leqslant m. Let h, 0<h<(a_{k_0+1}-a_{k_0})/2, be such that x\in[a_{k_0}+h, a_{k_0+1}-h] (here we consider the case when h^{(k_0)}=h^{(k_{0}+1)}=h; this does not change the proof). We have
where the constant C(h)>0 is independent of n\in\mathbb{Z}_+ and x\in[a_{k_0}+h, a_{k_0+1}-h].
To estimate the last term \widetilde{I}^{(2)}_n(x) we take the inequality |t-x|\geqslant h for t\notin(a_{k_0}, a_{k_0+1}) and x\in[a_{k_0}+h, a_{k_0+1}-h] into account. We have
The measure \theta satisfies (1.2) and (3.8), that is, \theta\{a_k\}=0, k=1,2,\dots,m, and d\theta(x)=\omega(x)\,dx, where \omega(x) is a positive continuous integrable function.
The majorant h(x) is a positive continuous \omega-integrable function (see (3.7)):
Hence the integral \displaystyle\int^1_{-1}|\widetilde{D}_n(t,x)|h(t)\omega(t)\,dt can be estimated similarly to \displaystyle\int^1_{-1}\!\widetilde{D}^*_n(t,x)\,d\theta(t), n\in\mathbb{Z}_+, x\in K:
Proof. Assertion (iii) was proved in [16], Corollary 3.1. We verify assertion (i) for {p=1}; the general case is considered similarly. We have (see (3.1) and (3.2))
By the definition of a Lebesgue point (3.17) and in view of conditions (3.18) for {p=1}, given \epsilon>0, there exists \delta>0 such that \Phi_x(x+h)\leqslant \epsilon h for h\leqslant \delta.
(ii) Let us verify the uniform estimate (3.20). The function f is continuous on {[-1, 1]}, and therefore it is uniformly continuous on [-1,1]. Given \varepsilon>0, we can find \delta >0 such that |f(t)-f(x)|<\varepsilon for |t-x|<\delta. For some k_0, 0\leqslant k_0\leqslant m, let x\in K_0=K\cap (a_{k_0},a_{k_0+1}) and \delta>0 be such that the interval |t-x|<\delta lies in K_0 (if x is a boundary point, then we take the one-sided \delta-neighbourhood of x).
(for a theory of these spaces, see [29]–[31] and the references given there). Note that the space W^p_\theta ([-1,1]), 1\leqslant p<\infty, is not complete.
With each function f\in W^p_\theta ([-1,1]), for some p, 1\leqslant p < \infty, we associate the Fourier-Sobolev series (1.4), (1.5) and estimate the norm of a majorant of the partial sums S_nf(x).
Lemma 3.4. Let the polynomial system \{\widehat{q}_n(x)\}^\infty_{n=0} and measure d\theta(x) satisfy conditions (3.7) and (3.8), respectively. Then the following assertions hold.
(i) If a function f\in\mathfrak{R}_p, 1<p<\infty, satisfies (3.18), then for any compact subset K of \varepsilon_m
where the maximal function M_\theta is defined in (2.6) and C > 0 is independent of the function f\in L^p_\theta(K). Since h(x) is bounded on K, by Lemma 2.3 we have
Lemma 4.2. Let \{\widehat{q}_n(x)\}^\infty_{n=0} be a polynomial system satisfying condition (3.7) and assume that the recurrence coefficients (see (3.3)) satisfy
As in the proof of Lemma 3.3, we assume that t\geqslant x and consider a number h>0 and the intervals \delta_1=[x, x+1/(n+1)], \delta_2=[x+1/(n+1), a_{k_0+1}-h/2] and \delta_3=[a_{k_0+1}-h/2,a_{k_0+1}], where x\in[a_{k_0}+h, a_{k_0+1}-h]. Then
where the positive constant C(h) is independent of n\in\mathbb{Z}_+ and x\in[{a_{k_0}+h}, {a_{k_0+1}-h}].
To estimate the last term \widetilde{J}^{(2)}_n(x) we use the fact that |t-x|\geqslant h for t\notin(a_{k_0}, a_{k_0+1}) and x\in[a_{k_0}+h, a_{k_0+1}-h], so that
(ii) if, in addition, the measure d\theta(x) obeys (3.8) and f is continuous on [-1,1], then (4.17) holds uniformly on all compact subsets K of \varepsilon_m.
Proof. Proceeding as in the proof of Theorem 3.1, we verify assertion (i) for p=1.
Let x\in\varepsilon_m be a Lebesgue point, let x\in(a_{k_0}, a_{k_0+1}), and let n be a natural number such that [x-1/(n+1), x+1/(n+1)]\subset(a_{k_0}, a_{k_0+1}). Then
(ii) That (4.17) holds uniformly for x\in K\subset\varepsilon_m can be derived in a standard way from Corollary 4.1 (see the proof of Theorem 3.1, (ii)).
Theorem 4.1. Let the orthonormal polynomial system \{\widehat{q}_n(x)\}^\infty_{n=0} satisfy conditions (3.7) and (4.8).
(i) Let f\in\mathfrak{R}_p, 1\leqslant p<\infty, satisfy (3.18). Then at each Lebesgue point x\in\varepsilon_m of f the Fejér means \sigma_nf(x) of the Fourier-Sobolev series (1.4), (1.5) converge to f(x), that is,
(ii) If, in addition, the measure d\theta(x) satisfies (3.8) and f is continuous on [-1,1], then (4.22) holds uniformly on all compact subsets K of \varepsilon_m.
Proof. From Lemma 3.2 and since the Fejér means are Toeplitz regular, for x\in\varepsilon_m we have
where K is a compact subset of \varepsilon_m. Let us estimate the first expression in (4.24).
Lemma 4.5. Let the polynomial system \{\widehat{q}_n(x)\}^\infty_{n=0} satisfy conditions (3.7), (3.8), (3.36), (4.8) and let f\in\mathfrak{R}_p satisfy (3.18) (for some 1<p<\infty). Then
Lemma 4.6. Let conditions (3.7), (3.8), (3.36), (4.8), (3.41) be met for an orthonormal polynomial system \{\widehat{q}_n(x)\}^\infty_{n=0} for some p, 1<p<\infty, and let f be a function in W^p_\theta([-1,1]). Then
where the positive constant C_p is independent of the function f\in L^p_\theta([-1,1]). Using the first estimate in (4.32) and relation (3.40) we find that
The next result follows from the definition (3.32) and Lemmas 4.5 and 4.6.
Theorem 4.2. Let the polynomial system \{\widehat{q}_n(x)\}^\infty_{n=0} satisfy conditions (3.7), (3.8), (3.36), (3.41), (4.8). Then for any function f\in W^p_\theta([-1,1]) satisfying (3.18), for some p, 1<p<\infty,
Lemma 5.1 (see [30], Ch. 7, 7.1.3).(i) If the sequence \Phi=\{\phi_n\}^\infty_{n=0} is quasi-convex and bounded, then it has bounded variation and the sequence n\Delta\phi_n is bounded
which is usually used in Marcinkiewicz’s multiplier theorem (see [33]).
Lemma 5.2. Let s_n and \sigma_n be the partial sums and arithmetic means of a series \sum^\infty_{k=0}u_k, respectively. If the \sigma_n converge and if s_n=o(\mu_n), where \{{1}/{\mu_n}\}^\infty_{n=0} is quasi-convex and tends to zero as n\to\infty, then the series \sum^\infty_{k=0}{u_k}/{\mu_k} is convergent.
Proof. Indeed, applying the Abel transform twice we obtain
as n\to\infty. Now it is clear that the series \sum^\infty_{k=0}(k+1)\Delta^2(1/\mu_k)\sigma_k is absolutely convergent. Lemma 5.2 is proved.
Theorem 5.1. Let the orthonormal polynomial system \{\widehat{q}_n(x)\}^\infty_{n=0} satisfy conditions (3.7) and (4.8) and let the quasi-convex sequence \Phi=\{\phi_n\}^\infty_{n=0} satisfy
Also let f\in\mathfrak{R}_p, 1\leqslant p <\infty, satisfy conditions (3.18), Then:
1) the multiplier series (1.7) is convergent at each Lebesgue point x\in\varepsilon_m, so that
\begin{equation*}
Tf(x;\Phi)=\sum^\infty_{k=0} \phi_k c_k(f)\widehat{q}_k(x) \quad\textit{for $\theta$-almost all }x\in[-1,1];
\end{equation*}
\notag
2) if, in addition, the function f is continuous on [-1,1] and (3.8) is met, then the multiplier series (1.7) converges uniformly on each compact subset K\subset\varepsilon_m, that is, with respect to the topology of unform convergence on compact sets.
Proof. Using Theorems 3.1 and 4.1 we can invoke Lemma 5.2 for \mu_n=\ln(n+2).
Corollary 5.1. Let the polynomial system \{\widehat{q}_n(x\}^\infty_{n=0} satisfy conditions (3.7), (4.8) and let f \in \mathfrak{R}_p, 1 \leqslant p < \infty, satisfy (3.18). Then both the series
converge at the Lebesgue points x in \varepsilon_m. Moreover, these series converge at each point of continuity of f. If f is continuous on [-1,1] and (3.8) is met, then both series converge uniformly on compact subsets K of \varepsilon_m.
Indeed, it is easily checked that condition (5.5) of Theorem 5.1 is satisfied for the sequences \phi_k={1}/{\ln(k+2)} and \phi_k={1}/{(k+1)^\gamma}, \gamma>0.
Consider now the problem of estimating the norm of a majorant of the partial sums of series (1.7).
Theorem 5.2. Let the orthonormal polynomial system \{\widehat{q}_n(x)\}^\infty_{n=0} satisfy the hypotheses of Theorem 4.2. Also let the quasi-convex sequence (1.6) satisfy (5.5) and f\in W^p_\theta([-1,1]), 1<p<\infty, satisfy (3.18). Then
on an arbitrary compact subset K of \varepsilon_m, where the positive constant C_p does not depend on n\in\mathbb{Z}_+, the function f or the sequence (1.6).
The following theorem is the main result of our paper.
Theorem 5.3. Let the hypotheses of Theorem 5.2 on a function f, a system of orthonormal polynomials \{\widehat{q}_n(x)\}^\infty_{n=0}, and a multiplier sequence (1.6) be met for some p, 1<p<\infty. Then the multiplier operator T satisfies the estimate
Setting \phi_k={1}/{\ln(k+2)} in Theorem 5.3 we arrive at the following result.
Corollary 5.2. Let the polynomial system \{\widehat{q}_n(x)\}^\infty_{n=0} and the function f satisfy the hypotheses of Theorem 5.2. Then the series (5.9) converges almost everywhere on [-1,1], and its sum Pf(x) satisfies
For \alpha=0 we have the system of symmetric orthonormal Legendre-Sobolev polynomials.
For M>0 and N>0, the polynomials \widehat{B}_n^{(\alpha)}(x;M,N) have some properties not shared by the classical Gegenbauer (ultraspherical) polynomials \widehat{P}_n^{(\alpha)}(x) which are orthonormal with respect to the weight \omega_\alpha(x) (the case M=0, N=0).
Recall some properties of the polynomials \widehat{B}_n^{(\alpha)}(x;M,N) (see [34]–[43] and the references given there).
1. For sufficiently large n there exists a pair of real zeros lying outside [-1,1] (all the zeros of \widehat{P}^{(\alpha)}_n(x) lie in the interval (-1,1)).
2. The polynomials \widehat{B}^{(\alpha)}_n(x) are eigenfunctions of a linear differential operator (usually, of infinite order). Only for \alpha=0,1,2,\dots does this class contain an operator of finite order, namely,
here, A_n\approx B_n(n\to\infty) means that \lim_{n\to\infty}{A_n}/{B_n}=1 (it is known that |\widehat{P}^{(\alpha)}_n(\pm 1)|\approx n^{\alpha+1/2} and |\{\widehat{P}^{(\alpha)}_n\}'(\pm 1)|\approx n^{\alpha+5/2}).
That the recurrence coefficients in (6.4) have bounded variation was shown in [36]. The proof of (6.3) for recurrence relation (6.2) is similar. Recall that the classical Gegenbauer polynomials satisfy a three-term recurrence relation. Condition (4.8) for the polynomials \widehat {B}^{(\alpha)}_n(x) is satisfied if estimate (6.3) holds. Note that for the Gegenbauer-Sobolev polynomials one can get by with recurrence relation (6.2).
5. The weight estimate for the polynomials \widehat{B}^{(\alpha)}_n(x), as well as for \widehat{P}^{(\alpha)}_n(x), has the form
Proof. Let us check that conditions (3.18) and (3.41) are satisfied for the majorant h(x) of the system \{\widehat{B}^{(\alpha)}_n(x)\equiv\widehat{B}^{(\alpha)}_n(x;M,N)\}
We have \omega_\alpha(x)=(1-x^2)^{-(\alpha/2+1/4)}, -1<x<1, \alpha>-1/2, hence from (3.18) and (3.41) we obtain
Moreover, the convergence of the first integral implies inequality (6.7), and the convergence of both integrals secures (6.8). Conditions (3.36) are direct consequences of (6.1), and (4.8) follows from (6.3). Theorem 6.1 is proved.
The convergence of Fourier-Gegenbauer-Sobolev series (and their generalizations) was studied in [44] and [45].
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Citation:
B. P. Osilenker, “On multipliers for Fourier series in Sobolev orthogonal polynomials”, Sb. Math., 213:8 (2022), 1058–1095