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Positive Matrices in the Hardy Space with Prescribed Boundary Representations via the Kaczmarz Algorithm

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abstract

For a singular probability measure $\mu$ on the circle, we show the existence of positive matrices on the unit disc which admit a boundary representation on the unit circle with respect to $\mu$. These positive matrices are constructed in several different ways using the Kaczmarz algorithm. Some of these positive matrices correspond to the projection of the Szeg\H{o} kernel on the disc to certain subspaces of the Hardy space corresponding to the normalized Cauchy transform of $\mu$. Other positive matrices are obtained which correspond to subspaces of the Hardy space after a renormalization, and so are not projections of the Szeg\H{o} kernel. We show that these positive matrices are a generalization of a spectrum or Fourier frame for $\mu$, and the existence of such a positive matrix does not require $\mu$ to be spectral.

fields

math.FA 1

years

2019 1

verdicts

UNVERDICTED 1

representative citing papers

Stability of the Kaczmarz Reconstruction for Stationary Sequences

math.FA · 2019-06-19 · unverdicted · novelty 6.0

Relaxing the Kaczmarz algorithm stabilizes noisy reconstructions from stationary sequences, removes corruption from noise in H^∞(D) or subspaces of H²(D), and stabilizes Fourier series expansions in L²(μ) for singular μ.

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  • Stability of the Kaczmarz Reconstruction for Stationary Sequences math.FA · 2019-06-19 · unverdicted · none · ref 15 · internal anchor

    Relaxing the Kaczmarz algorithm stabilizes noisy reconstructions from stationary sequences, removes corruption from noise in H^∞(D) or subspaces of H²(D), and stabilizes Fourier series expansions in L²(μ) for singular μ.