Interpolatory pointwise estimates for monotone polynomial approximation
K. A. Kopotun, D. Leviatan, I. A. Shevchuk

TL;DR
This paper advances the understanding of monotone polynomial approximation by establishing interpolatory pointwise error estimates based on the second modulus of smoothness, resolving an open problem for functions with smoothness index since 1985.
Contribution
It proves that for functions with certain smoothness, interpolatory estimates hold for large degrees, extending previous results and solving an open problem for with .
Findings
Interpolatory estimates valid for functions in Lip^* for sufficiently large degree n.
Established equivalence between nondecreasing Lip^* functions and existence of nondecreasing polynomial approximations with specific error bounds.
Resolved an open problem from 1985 regarding approximation error estimates for functions.
Abstract
Given a nondecreasing function on , we investigate how well it can be approximated by nondecreasing algebraic polynomials that interpolate it at . We establish pointwise estimates of the approximation error by such polynomials that yield interpolation at the endpoints (i.e., the estimates become zero at ). We call such estimates "interpolatory estimates". In 1985, DeVore and Yu were the first to obtain this kind of results for monotone polynomial approximation. Their estimates involved the second modulus of smoothness of evaluated at and were valid for all . The current paper is devoted to proving that if , , then the interpolatory estimates are valid for the second modulus of smoothness of , however, only for with , since it is known that such estimates…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsApproximation Theory and Sequence Spaces · Mathematical Approximation and Integration · Mathematical functions and polynomials
