Classification of Polynomial Operations
D. L. Berman
Submitted 1962-01-01 | SovietRxiv: ru-196201.62148 | Translated from Russian

Abstract Generated abstract

The paper studies linear operators on the space of continuous periodic functions that take values in trigonometric polynomials of bounded order, classifying such operators by an averaging procedure invariant under translations. It establishes a one-to-one correspondence, with natural algebraic interpretations, between the resulting operator classes and trigonometric polynomials, with each class containing a unique convolution operator. The convolution representative is shown to have minimal norm within its class, and sequences of polynomial operators converging uniformly to the identity are shown to yield corresponding uniformly convergent sequences of convolutions. The paper also considers extensions of a fixed operator class to higher polynomial orders and derives formulas and norm infima for these extended operations.

Full Text

Mathematics

D. L. Berman

CLASSIFICATION OF POLYNOMIAL OPERATIONS

(Presented by Academician S. N. Bernstein on 2 February 1962)

\(1^\circ\). Let \(\widetilde C\) denote the space of all continuous \(2\pi\)-periodic functions \(f(x)\) with norm
\[ \|f(x)\|=\max_{0\le x<2\pi}|f(x)|; \]
let \(\Pi_n\) denote the set of all trigonometric polynomials of order \(\le n\); let \(M_n\) denote the set of all linear operations from \(\widetilde C\) to \(\widetilde C\) that map \(\widetilde C\) into \(\Pi_n\). Let \(U_n\in M_n\). Introduce the operator
\[ \widetilde U_n(f,x)=\frac{1}{2\pi}\int_0^{2\pi} U_n(f_t,x-t)\,dt, \]
where \(f_t(x)=f(x+t)\). It is easy to see that \(\widetilde U_n\) also belongs to \(M_n\).

\(2^\circ\). Let \(U_n^{(i)}\in M_n,\ i=1,2\). We say that \(U_n^{(1)}\) and \(U_n^{(2)}\) belong to one and the same class if \(\widetilde U_n^{(1)}=\widetilde U_n^{(2)}\). Thus the set \(M_n\) is partitioned into classes. The set of all classes will be denoted by \(\Sigma_n\). It is noteworthy that, under this classification, the partial sum of the Fourier series \(S_n(f,x)\) and the Lagrange interpolation polynomial \(L_n(f,x)\), constructed for an arbitrary system of nodes
\[ 0\le x_0<x_1<\cdots<x_{2n}<2\pi, \]
belong to one and the same class, since \(\widetilde L_n=\widetilde S_n\) \((^1)\). It is easy to see that the classes are pairwise disjoint.

Theorem 1. Between the set of all classes \(\Sigma_n\) and the set of all trigonometric polynomials of order not exceeding \(n\), \(\Pi_n\), there is a one-to-one correspondence. This mapping is an isomorphism if the composition of elements in \(\Sigma_n\) and \(\Pi_n\) is defined in the corresponding manner.

We give the main points of the proof. Let \(T_n\in\Pi_n\). Introduce the convolution \(\sigma_n\) with kernel \(T_n\):
\[ \sigma_n=\sigma_n(f,T_n,x)=\int_0^{2\pi} f(x+t)T_n(t)\,dt. \tag{1} \]
Obviously, \(\sigma_n\in M_n\), and therefore there exists a unique class \(K_n\in\Sigma_n\) containing \(\sigma_n\). To the polynomial \(T_n\) we assign the class \(K_n\). We denote this mapping of \(\Pi_n\) into \(\Sigma_n\) by \(\varphi\). Now map \(\Sigma_n\) into \(\Pi_n\). Let \(K'_n\) be any element of \(\Sigma_n\). To the class \(K'_n\) we assign the polynomial
\[ T'_n(t)=\widetilde U_n(D_n,-t), \]
where \(U_n\) is an arbitrary operator from \(K'_n\). Here \(D_n\) denotes the Dirichlet kernel of order \(n\). We denote the indicated mapping of \(\Sigma_n\) into \(\Pi_n\) by \(\psi\). We now show that \(\varphi\) is a one-to-one mapping. Let \(\varphi(T_n)=K_n\). According to the definition of \(\varphi\), this means that the convolution \(\sigma_n\in K_n\). One can prove that, for any \(U_n\in K_n\), the equalities
\[ \widetilde U_n=\widetilde \sigma_n=\sigma_n \]
hold. Note also that
\[ \widetilde\sigma_n(D_n,-t) =\int_0^{2\pi}D_n(-t+t_1)T_n(t_1)\,dt_1 =T_n(t). \]
Therefore, in accordance with the definition of the mapping \(\psi\), we have that

\(\psi(K_n)=T_n\). Suppose now that \(\psi(K_n^{(2)})=T_n^{(2)}\), where \(K_n^{(2)}\in \Sigma_n\) and \(T_n^{(2)}\in \Pi_n\). According to the definition of \(\psi\),

\[ T_n^{(2)}(t)=\widetilde U_n(D_n,-t),\qquad U_n\in K_n^{(2)}. \]

Consider the convolution

\[ \sigma_n^{(2)}(f,x)=\int_0^{2\pi} f(x+t)T_n^{(2)}(t)\,dt . \tag{1′} \]

Since \(\sigma_n^{(2)}=\widetilde\sigma_n^{(2)}=\widetilde U_n\), it follows that \(\sigma_n^{(2)}\in K_n^{(2)}\). According to the definition of \(\varphi\), this means that \(\varphi(T_n^{(2)})=K_n^{(2)}\). Consequently, \(\varphi\) is a one-to-one correspondence.

It is not difficult to verify that each class \(K_n\) contains only one convolution. Therefore the class containing the convolution \(\sigma\) is naturally denoted by \(K_\sigma\). Obviously, if the composition of two elements \(T_1\) and \(T_2\) of \(\Pi_n\) is defined as their sum \(T_1+T_2\), and the composition of two classes \(K_{\sigma_1}\) and \(K_{\sigma_2}\) is defined as the class containing the convolution \(\sigma_1+\sigma_2\), then the mapping \(\varphi\) becomes an isomorphism. It is curious that the mapping \(\varphi\) is an isomorphism also in the case when the composition of two elements \(T_i\in \Pi_n\), \(i=1,2\), is defined as their convolution \(T_1*T_2\), while the composition of the classes \(K_{\sigma_1}\) and \(K_{\sigma_2}\) is defined as the class containing the convolution \(\sigma_2\sigma_1\). Let us consider some class \(K_\sigma\) and pose the question of finding in \(K_\sigma\) an operator with the smallest norm. The answer to this question is given by Theorem 2.

Theorem 2. Among the various operations of the class \(K_\sigma\), the convolution \(\sigma\) has the smallest norm, i.e.

\[ \inf_{U_n\in K_\sigma}\|U_n\|=\|\sigma\|. \tag{2} \]

Proof. According to the property of the operator \(\widetilde U_n\), \(\|\widetilde U_n\|\leq \|U_n\|\) \((^2)\). It has already been noted that for any \(U_n\in K_\sigma\), \(\widetilde U_n=\widetilde\sigma=\sigma\). Therefore (2) is valid. It is useful to compare this theorem with the results in \((^4\text{--}^7)\).

\(3^\circ\). Theorem 2 suggests the validity of the following theorem:

Theorem 3. Let the sequence \(\{U_{n_j}(f,x)\}_{j=1}^{\infty}\), where \(U_{n_j}\in M_{n_j}\), \(j=1,2,\ldots\), converge uniformly for every \(f\in \widetilde C\),

\[ U_{n_j}(f,x)\to f(x),\qquad n_j\to \infty . \tag{3} \]

Then for every \(f\in \widetilde C\) the relation

\[ \widetilde U_{n_j}(f,x)\to f(x),\qquad n_j\to \infty . \tag{3′} \]

holds uniformly.

In proving Theorem 3 we use the following lemma:

Lemma. Let a sequence of linear operations from \(\widetilde C\) into \(\widetilde C\), \(\{U_n(f,x)\}_{n=1}^{\infty}\), satisfy, for every \(f\in \widetilde C\), the uniform relation (3). Then for every \(\varepsilon>0\) there exists an \(N\) such that, for every \(t\in[0,2\pi]\), the inequality

\[ \|U_n(f_t)-f_t\|<\varepsilon,\qquad n\geq N, \tag{4} \]

holds, where \(N\) does not depend on \(t\).

The proof of Theorem 3 is carried out as follows. From the definition of \(\widetilde U_n\) we obtain

\[ \widetilde U_{n_j}(f,x)-f(x)=\frac{1}{2\pi}\int_0^{2\pi}[U_{n_j}(f_t)-f_t,\ x-t]\,dt, \tag{5} \]

where \([f,x]\) is the value of the function \(f\) at the point \(x\). Hence we obtain

\[ \|\widetilde U_{n_j}(f)-f\|\leq \frac{1}{2\pi}\int_0^{2\pi}\|U_{n_j}(f_t)-f_t\|\,dt . \tag{6} \]

The justification of the validity of the transition from (5) to (6) is given in \((^2)\). From inequalities (4) and (6) we obtain that

\[ \|\widetilde U_{n_j}(f)-f\|<\varepsilon,\qquad n_j>N . \]

Since for every \(U_n\in K_\sigma\) one has \(\widetilde U_n=\sigma\), relation \((3')\) can be written in the form

\[ \sigma_{n_j}(f,x)\to f(x),\qquad n_j\to\infty . \]

Thus, Theorem 3 can be formulated in the following equivalent form:

Theorem 4. Let the sequence of operations \(\{U_{n_j}(f,x)\}_{j=1}^{\infty}\) converge uniformly for every \(f\in \widetilde C\). Then one can construct a sequence of convolutions of the form \((1')\), \(\{\sigma_{n_j}\}_{j=1}^{\infty}\), which also converges uniformly for every \(f\in \widetilde C\).

\(4^\circ\). Let a certain fixed class of operators \(K_n\in\Sigma_n\) be given, and let \(U_n\) be a certain fixed operator from \(K_n\). Denote by \(M_{n+m}(U_n)\) the set of all possible linear operators from \(\widetilde C\) into \(\widetilde C\) having the properties: 1) for every \(f\in\widetilde C\), \(U_{n+m}(f)\in\Pi_{n+m}\); 2) if \(f\in\Pi_n\), then \(U_{n+m}(f)=U_n(f)\) \((m\geq 0)\). A special case of such operations was considered in \((^3)\).

Theorem 5. Let \(U_{n+m}\in M_{n+m}(U_n)\); then for every \(f\in\widetilde C\) the equality holds

\[ \widetilde U_{n+m}(f,x)= \int_0^{2\pi} f(x+t)\left[\widetilde U_n(D_n,-t)+ \right. \]

\[ \left. +\frac{1}{2\pi}\sum_{k=n+1}^{n+m}(\alpha_k\cos kt+\beta_k\sin kt)\right]f(x+t)\,dt, \]

where

\[ \alpha_k=s_k^{(2)}+c_k^{(1)}, \]

\[ \beta_k=a_k s_k^{(1)}-c_k^{(2)}. \]

Here \(c_k^{(1)}\) and \(c_k^{(2)}\), \(s_k^{(1)}\) and \(s_k^{(2)}\) are the Fourier coefficients of order \(k\), respectively, for the functions \(U_{n+m}(\cos kz,x)\), \(U_{n+m}(\sin kz,x)\).

With the aid of Theorem 5 one proves

Theorem 6. For every class \(K_n\in\Sigma_n\) the equality holds

\[ \inf_{U_n\in K_n}\ \inf_{U_{n+m}\in M_{n+m}(U_n)} \|U_{n+m}\|= \]

\[ = \inf_{\alpha_k,\beta_k}\int_0^{2\pi} \left|\widetilde U_n(D_n,t)+ \sum_{k=n+1}^{n+m}(\alpha_k\cos kt+\beta_k\sin kt)\right|\,dt . \]

Leningrad Institute of Soviet Trade
named after F. Engels

Received
18 I 1962

CITED LITERATURE

\(^1\) J. Marcinkiewicz, Acta Litt. Sci. Szeged, 8, 127 (1937).
\(^2\) D. L. Berman, Izv. Vyssh. uchebn. zaved., Matematika, 4 (17) (1960).
\(^3\) D. L. Berman, DAN, 95, No. 2 (1954).
\(^4\) S. M. Lozinskii, DAN, 61, No. 2 (1948).
\(^5\) S. M. Lozinskii, DAN, 89, No. 5 (1953).
\(^6\) D. L. Berman, DAN, 85, No. 1 (1952).
\(^7\) D. L. Berman, DAN, 88, No. 1 (1953).

Submission history

Classification of Polynomial Operations