Abstract
This paper examines the problem of finding the linear algorithm (operator) of finite rank n (i.e. with a n-dimensional range) which gives the minimal error of approximation of identity operator on some set over all finite rank n linear operators preserving the cone of k-monotonicity functions. We introduce the notion of linear relative (shape-preserving) n-width and find asymptotic estimates of linear relative n-widths for linear operators preserving k-monotonicity in the space \(C^k[0,1]\). The estimates show that if linear operator with finite rank n preserves k-monotonicity, the degree of simultaneous approximation of derivative of order \(0\le i\le k\) of continuous functions by derivatives of this operator cannot be better than \(n^{-2}\) even on the set of algebraic polynomials of degree \(k+2\) (as well as on bounded subsets of Sobolev space \(W^{(k+2)}_\infty [0,1]\)).
The results were obtained within the framework of the state task of Russian Ministry of Education and Science (project 1.1520.2014K).
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Sidorov, S.P. (2016). Linear k-Monotonicity Preserving Algorithms and Their Approximation Properties. In: Kotsireas, I., Rump, S., Yap, C. (eds) Mathematical Aspects of Computer and Information Sciences. MACIS 2015. Lecture Notes in Computer Science(), vol 9582. Springer, Cham. https://doi.org/10.1007/978-3-319-32859-1_7
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