Note on the best approximation in $L^1$ metric
Alexey Solyanik

TL;DR
This paper explores methods for best approximation of functions by trigonometric polynomials in the L^1 metric and applies these to determine optimal constants in inequalities related to Lipschitz function approximation.
Contribution
It introduces an approach for best approximation in L^1 and applies it to find optimal constants in Nikolsky's type inequalities for Lipschitz functions.
Findings
Derived optimal constants in Nikolsky's inequalities
Proposed a new approach for L^1 approximation
Applied method to Lipschitz function approximation
Abstract
We present one of the approaches to find the best approximation of the given function by trigonometric polynomials in metric and applied it to find the optimal constants in the Nikolsky's type inequality, concerning approximation of Lipschitz functions by algebraic polynomials.
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Taxonomy
TopicsAdvanced Harmonic Analysis Research · Mathematical functions and polynomials · Approximation Theory and Sequence Spaces
