Strong Divergence of Reconstruction Procedures for the Paley-Wiener Space $\mathcal{PW}^1_\pi$ and the Hardy Space $\mathcal{H}^1$

Holger Boche, Brendan Farrell

Previous results on certain sampling series have left open if divergence only occurs for certain subsequences or, in fact, in the limit. Here we prove that divergence occurs in the limit. We consider three canonical reconstruction methods for functions in the Paley-Wiener space $\mathcal{PW}^1_\pi$. For each of these we prove an instance when the reconstruction diverges in the limit. This is a much stronger statement than previous results that provide only $\limsup$ divergence. We also address reconstruction for functions in the Hardy space $\mathcal{H}^1$ and show that for any subsequence of the natural numbers there exists a function in $\mathcal{H}^1$ for which reconstruction diverges in $\limsup$. For two of these sampling series we show that when divergence occurs, the sampling series has strong oscillations so that the maximum and the minimum tend to positive and negative infinity. Our results are of interest in functional analysis because they go beyond the type of result that can be obtained using the Banach-Steinhaus Theorem. We discuss practical implications of this work; in particular the work shows that methods using specially chosen subsequences of reconstructions cannot yield convergence for the Paley-Wiener Space $\mathcal{PW}^1_\pi$.

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