Beyond Tchakaloff Quadrature: Positive Functionals, Frames and Widths
Martin Sch\"afer, Tino Ullrich

TL;DR
This paper extends Tchakaloff's theorem by exploring positive discretizations of linear functionals, introducing strict $S$-positivity, and applying these concepts to quadrature, frames, and discretization bounds in finite-dimensional spaces.
Contribution
It generalizes Tchakaloff quadrature to complex functionals, introduces strict $S$-positivity, and connects discretization problems to $D$-optimal design, with new bounds and applications.
Findings
Existence of $L_p$-Marcinkiewicz-Zygmund equalities for even $p$
Exact discretizability of frames with rescaling
Bounds for Tchakaloff quadrature widths
Abstract
Tchakaloff's theorem from 1957 asserts the existence of exact quadrature rules with non-negative weights for any polynomial space of finite degree on if the underlying measure is positive, compactly supported, and absolutely continuous with respect to the Lebesgue measure. This classical result coined the term Tchakaloff quadrature for quadrature that is exact and only uses non-negative weights. It has been a long-standing endeavor, under which conditions such rules exist. A final answer was given in 2012 by Bisgaard with the insight that, in fact, every finite-dimensional space of integrable functions on a positive measure space admits them. In this article we recall this result and provide a major extension to the question of positive discretizability of -linear functionals on finite-dimensional spaces. We introduce the notion of strict -positivity for…
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Taxonomy
TopicsMathematical Approximation and Integration · Mathematical functions and polynomials · Advanced Numerical Analysis Techniques
