Metric projections, zeros of optimal polynomial approximants, and some extremal problems in Hardy spaces
Catherine B\'en\'eteau, Raymond Cheng, Christopher Felder, Dmitry Khavinson, Myrto Manolaki, Konstantinos Maronikolakis

TL;DR
This paper explicitly calculates metric projections in Hardy spaces $H^p$, revealing new behaviors of best approximations and zeros of optimal polynomial approximants, extending classical results beyond $H^2$.
Contribution
It provides explicit formulas for metric projections in $H^p$, highlighting differences from $H^2$ and exploring the structure of shift-invariant subspaces.
Findings
In $H^p$, the best approximation of conjugate inner functions can be zero or non-constant outer functions.
The exact distance between the constant function and shift-invariant subspaces is determined.
Zeros of optimal polynomial approximants in $H^p$ exhibit new behaviors.
Abstract
The well-known proof of Beurling's Theorem in the Hardy space , which describes all shift-invariant subspaces, rests on calculating the orthogonal projection of the unit constant function onto the subspace in question. Extensions to other Hardy spaces for are usually obtained by reduction to the case via inner-outer factorization of functions. In this paper, we instead explicitly calculate the metric projection of the unit constant function onto a shift-invariant subspace of the Hardy space when . This problem is equivalent to finding the best approximation in of the conjugate of an inner function. In , this approximation is always a constant, but in , when , this approximation turns out to be zero or a non-constant outer function. Further, we determine the exact distance between the unit constant and any…
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