József Szabados
Alfréd Rényi Institute of Mathematics
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Featured researches published by József Szabados.
Acta Mathematica Hungarica | 2002
G. Mastroianni; József Szabados
We generalize Laguerre weights on R+ by multiplying them by translations of finitely many Freud type weights which have singularities, and prove polynomial approximation theorems in the corresponding weighted spaces.
Journal of Mathematical Analysis and Applications | 2002
B. Della Vecchia; G. Mastroianni; József Szabados
Abstract We construct Shepard-type operators for weighted uniform approximation of functions with endpoint singularities by exponential-type weights in [−1,1]. Convergence theorems and pointwise and uniform approximation error estimates not possible by polynomials are proved.
Journal of Approximation Theory | 2004
B. Della Vecchia; G. Mastroianni; József Szabados
The authors give error estimates, a Voronovskaya-type relation, strong converse results and saturation for the weighted approximation of functions on the real line with Freud weights by Bernstein-type operators.
Proceedings of the American Mathematical Society | 2003
David Benko; Tamás Erdélyi; József Szabados
For a function f defined on an interval [a, b] let ∥f∥ [a,b] := sup{|f(x)|: x ∈ [a,b]}. The principal result of this paper is the following Markov-type inequality for Muntz polynomials. Theorem. Let n > 1 be an integer. Let λ 0 , λ 1 ,...,λ n be n + 1 distinct real numbers. Let 0 < a < b. Then formula math. formula math. where the supremum is taken for all Q ∈ span{x λ 0,x λ 1,.., x λ n} (the span is the linear span over R).
Journal of Approximation Theory | 2015
Saud M. Alsulami; Paul Nevai; József Szabados; Walter Van Assche
We study solutions ( x n ) n ? N of nonhomogeneous nonlinear second order difference equations of the type ? n = x n ( ? n , 1 x n + 1 + ? n , 0 x n + ? n , - 1 x n - 1 ) + ? n x n , n ? N , with?given?initial?data? { x 0 ? R & x 1 ? R + } where ( ? n ) n ? N ? R + & ( ? n , 0 ) n ? N ? R + & ( ? n ) n ? N ? R , and the left and right ? -coefficients satisfy either ( ? n , 1 ) n ? N ? R + & ( ? n , - 1 ) n ? N ? R + or ( ? n , 1 ) n ? N ? R 0 + & ( ? n , - 1 ) n ? N ? R 0 + . Depending on ones standpoint, such equations originate either from orthogonal polynomials associated with certain Shohat-Freud-type exponential weight functions or from Painleves discrete equation #1, that is, ? .
Journal of Approximation Theory | 2009
B. Della Vecchia; G. Mastroianni; József Szabados
Bernstein polynomials are a useful tool for approximating functions. In this paper, we extend the applicability of this operator to a certain class of locally continuous functions. To do so, we consider the Pollaczek weight w(x)@?exp(-1x(1-x)),0
Periodica Mathematica Hungarica | 2016
Alexey Lukashov; József Szabados
We consider Lagrange interpolation on the set of finitely many intervals. This problem is closely related to the least deviating polynomial from zero on such sets. We will obtain lower and upper estimates for the corresponding Lebesgue constant. The case of two intervals of equal lengths is simpler, and an explicit construction for two non-symmetric intervals will be given only in a special case.
Journal of Approximation Theory | 2015
József Szabados
We consider a special case of the modification of Lagrange interpolation due to Bernstein. Compared to Lagrange interpolation, these operators interpolate at less points, but they converge for all continuous functions in case of the Chebyshev nodes. Upper and lower estimates for the rate of convergence are given, and the saturation problem is partially solved.
Numerical Functional Analysis and Optimization | 2003
Biancamaria Della Vecchia; G. Mastroianni; József Szabados
Abstract We study the weighted uniform approximation of functions with inner singularities by exponential-type weights in [−1, 1]. Convergence theorems and pointwise and uniform approximation error estimates not possible by polynomials are proved.
Journal of Approximation Theory | 2011
József Szabados
We establish a companion result to a classic theorem of Erdos and Grunwald on the maximum of the fundamental functions of Lagrange interpolation based on the Chebyshev nodes.