Properties of local orthonormal systems, Part II: Geometric characterization of Bernstein inequalities
Abstract
Let (, F, P) be a probability space and let ( Fn) be a binary filtration, i.e. exactly one atom of Fn-1 is divided into two atoms of Fn without any restriction on their respective measures. Additionally, denote the collection of atoms corresponding to this filtration by A. Let S ⊂ L∞() be a finite-dimensional linear subspace, having an additional stability property on atoms A. For these data, we consider the two dictionaries C = \ f · A: f ∈ S, A ∈ A\ and , a local orthonormal system generated by S and the filtration ( Fn). We are interested in approximation spaces corresponding to the best n-term approximation in Lp for 1<p<∞ by elements of C and , respectively. It is known that in the classical Haar case, i.e. when S = span ([0,1]) and the binary filtration ( Fn) is dyadic (that is, an atom A ∈ A is divided into two new atoms of equal measure), those approximation spaces coincide, cf. [P. Petrushev, Multivariate n-term rational and piecewise polynomial approximation, J. Approx. Theory 121(1), 2003]. This motivates us to ask the question whether this is true in the general setting described above. The answer to this question is governed by the validity of a specific Bernstein type inequality. The main result of this paper is a geometric characterization of this type of Bernstein inequality, i.e. a characterization in terms of the behaviour of functions from the space S on atoms A and rings R = \ A B: A, B ∈ A, B ⊂ A \ A. We specialize this general result to some examples of interest, including general Haar systems and spaces S consisting of (multivariate) polynomials.
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