ON THE QUESTION OF UNIFORM APPROXIMATION OF FUNCTIONS BY POSITIVE LINEAR OPERATORS
MATHEMATICS
Submitted 1967-01-01 | SovietRxiv: ru-196701.56721 | Translated from Russian

Abstract Generated abstract

This paper studies the uniform approximation of functions from a generalized Lipschitz class by positive linear operators generated from an orthonormal system with respect to a monotone weight. It derives an upper estimate for the pointwise maximal deviation of such operators in terms of the modulus function and the nonnegative kernel, and identifies conditions under which the estimate is exact. As an illustration, the author treats the Chebyshev case on the interval from minus one to one with modulus of continuity equal to h, obtaining an explicit formula for the error and recovering Timan’s result for arithmetic means of Fourier Chebyshev series as a special case.

Full Text

UDC 517.512.7

MATHEMATICS

M. I. MOROZOV

ON THE QUESTION OF UNIFORM APPROXIMATION OF FUNCTIONS BY POSITIVE LINEAR OPERATORS

(Presented by Academician V. I. Smirnov on 1 IV 1966)

Let \(a\) and \(b\), \(a<b\), be fixed numbers; let \(\omega(h)\), \(0\le h\le b-a\), \(\omega(0)=0\), be a nondecreasing function, positive for \(0<h\le b-a\); let \(H^\omega\) be the class of functions \(f(x)\), \(a\le x\le b\), such that
\[ |f(x_1)-f(x_2)|\le \omega(|x_1-x_2|) \]
for \(x_1\) and \(x_2\) from \([a,b]\); let \(\sigma(x)\), \(a\le x\le b\), be a nondecreasing function having an infinite number of points of increase and such that \(\sigma(b)-\sigma(a)=1\); let \(\{\varphi_k(x)\}_0^\infty\) be a system of continuous functions orthonormal on \([a,b]\) with integral weight \(\sigma(x)\) (see (1), pp. 134, 144), with \(\varphi_0(x)\equiv 1\), and let \(\lambda=\{\lambda_k\}_0^\infty\) be a collection of real numbers \(\lambda_k\) such that the series
\[ K(x,t,\lambda)=\sum_{k=0}^{\infty}\lambda_k\varphi_k(x)\varphi_k(t),\qquad a\le x,t\le b, \]
converges uniformly and its sum \(K(x,t,\lambda)\ge 0\), \(a\le x,t\le b\).

Let \(f(x)\in H^\omega\), and let \(a_k\) be the Fourier coefficients of \(f(x)\):
\[ a_k=\int_a^b f(t)\varphi_k(t)\,d\sigma(t),\qquad k=0,1,\ldots . \]

Introduce the positive linear operator
\[ U(x,f,\lambda)=\sum_{k=0}^{\infty}\lambda_k a_k\varphi_k(x) =\int_a^b f(t)K(x,t,\lambda)\,d\sigma(t). \]

In what follows we put \(\lambda_0=1\). Then
\[ f(x)-U(x,f;\lambda)=\int_a^b [f(x)-f(t)]K(x,t,\lambda)\,d\sigma(t). \]

Hence, for
\[ E(x,\lambda)=\sup_{f\in H^\omega}|f(x)-U(x,f,\lambda)| \]
we obtain the estimate
\[ E(x,\lambda)\le \int_a^b \omega(|x-t|)K(x,t,\lambda)\,d\sigma(t) =\sum_{k=0}^{\infty}\lambda_k a_k(x)\varphi_k(x), \]
\[ a_k(x)=\int_a^b \omega(|x-t|)\varphi_k(t)\,d\sigma(t). \tag{1} \]

If, for some \(x=x_0\), \(a\le x_0\le b\), the function \(\omega(|x_0-x|)\in H^\omega\), then in estimate (1) at \(x=x_0\) equality holds. In particular, if \(\omega(x)\) is a modulus of continuity, then equality in (1) holds for every \(x\), \(a\le x\le b\).

Example. Let \(a=-1,\ b=1;\ \omega(h)=h;\ \sigma(x)=1/\pi\arcsin x;\)
\(\varphi_k(x)=\sqrt{2}\cos k\arccos x=\sqrt{2}T_k(x),\ k=1,2,\ldots\). In this case

\[ K(\cos\theta,\cos\varphi,\lambda)=1+2\sum_{k=1}^{\infty}\lambda_k\cos k\theta\cos k\varphi= \]

\[ =\frac{1}{2}K(\theta-\varphi,\lambda)+\frac{1}{2}K(\theta+\varphi,\lambda), \]

\[ K(\theta,\lambda)=1+2\sum_{k=1}^{\infty}\lambda_k\cos k\theta, \]

and, consequently, in order that the function \(K(x,t,\lambda)\) be nonnegative for \(-1\le x,t\le 1\), it is necessary and sufficient that the function \(K(\theta,\lambda)\) be nonnegative for \(0\le \theta<\pi\).

Let us find \(E(x,\lambda)\) for this case. Putting \(x=\cos\theta,\ t=\cos\varphi,\ 0\le \theta,\varphi\le \pi\), we have

\[ a_0(x)=\frac{1}{\pi}\int_a^b |x-t|\frac{dt}{\sqrt{1-t^2}} =\frac{1}{\pi}\int_0^\pi |\cos\theta-\cos\varphi|\,d\varphi= \]

\[ =\left(1-\frac{2\theta}{\pi}\right)\cos\theta+\frac{2}{\pi}\sin\theta, \]

\[ a_1(x)=-\frac{1}{\sqrt{2}}\left(1-\frac{2\theta}{\pi}\right)-\frac{1}{\sqrt{2}\pi}\sin 2\theta, \]

\[ a_k(x)=\frac{\sqrt{2}}{\pi}\left[\frac{1}{k(k-1)}\sin(k-1)\theta-\frac{1}{k(k+1)}\sin(k+1)\theta\right],\qquad k=2,3,\ldots, \]

and formula (1) gives

\[ E(x,\lambda)=(1-\lambda_1)\left(1-\frac{2}{\pi}\theta\right)\cos\theta+ \]

\[ +\frac{1}{\pi}\left[2\left(1-\frac{\lambda_1}{4}-\sum_{k=2}^{\infty}\frac{\lambda_k}{k^2-1}\right) -\sum_{k=1}^{\infty}\frac{\lambda_k-\lambda_{k+1}}{k(k+1)}\sin(2k+1)\theta\right]. \]

Returning to the variable \(x\), we finally obtain

\[ E(x,\lambda)=(1-\lambda_1)x\left(1-\frac{2}{\pi}\arccos x\right)+ \]

\[ +\frac{1}{\pi}\sqrt{1-x^2}\left[2\left(1-\frac{\lambda_1}{4}-\sum_{k=2}^{\infty}\frac{\lambda_k}{k^2-1}\right) -\sum_{k=1}^{\infty}\frac{\lambda_k-\lambda_{k+1}}{k(k+1)(2k+1)}T'_{2k+1}(x)\right]. \]

If here we put \(\lambda_k=(n-k)/n,\ k=1,2,\ldots,n-1,\ \lambda_k=0,\ k=n,n+1,\) then we arrive at the result of A. F. Timan \({}^{2}\) (obtained by him by another method) for the arithmetic means of the Fourier–Chebyshev series.

In conclusion I express my deep gratitude to N. A. Lebedev for useful advice.

Received
18 III 1966

REFERENCES

\({}^{1}\) V. L. Goncharov, Theory of Interpolation and Approximation of Functions, 1954.
\({}^{2}\) A. F. Timan, DAN, 77, No. 6, 969 (1951).

Submission history

ON THE QUESTION OF UNIFORM APPROXIMATION OF FUNCTIONS BY POSITIVE LINEAR OPERATORS