The Kaczmarz algorithm is an iterative method for solving a system of linear equations. It can be extended so as to reconstruct a vector x\documentclass[12pt]{minimal}
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\begin{document}$x$\end{document} in a (separable) Hilbert space from the inner-products {〈x,ϕn〉}\documentclass[12pt]{minimal}
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\begin{document}$\{\langle x, \phi _{n} \rangle \}$\end{document}. The Kaczmarz algorithm defines a sequence of approximations from the sequence {〈x,ϕn〉}\documentclass[12pt]{minimal}
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\begin{document}$\{\langle x, \phi _{n} \rangle \}$\end{document}; these approximations only converge to x\documentclass[12pt]{minimal}
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\begin{document}$x$\end{document} when {ϕn}\documentclass[12pt]{minimal}
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\begin{document}$\{\phi _{n}\}$\end{document} is effective. We dualize the Kaczmarz algorithm so that x\documentclass[12pt]{minimal}
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\begin{document}$x$\end{document} can be obtained from {〈x,ϕn〉}\documentclass[12pt]{minimal}
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\begin{document}$\{\langle x, \phi _{n} \rangle \}$\end{document} by using a second sequence {ψn}\documentclass[12pt]{minimal}
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\begin{document}$\{\psi _{n}\}$\end{document} in the reconstruction. This allows for the recovery of x\documentclass[12pt]{minimal}
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\begin{document}$x$\end{document} even when the sequence {ϕn}\documentclass[12pt]{minimal}
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\begin{document}$\{\phi _{n}\}$\end{document} is not effective; in particular, our dualization yields a reconstruction when the sequence {ϕn}\documentclass[12pt]{minimal}
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\begin{document}$\{\phi _{n}\}$\end{document} is almost effective. We also obtain some partial results characterizing when the sequence of approximations from {〈x,ϕn〉}\documentclass[12pt]{minimal}
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\begin{document}$\{\langle x, \phi _{n} \rangle \}$\end{document} using {ψn}\documentclass[12pt]{minimal}
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\begin{document}$\{\psi _{n}\}$\end{document} converges to x\documentclass[12pt]{minimal}
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\begin{document}$x$\end{document}, in which case {(ϕn,ψn)}\documentclass[12pt]{minimal}
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\begin{document}$\{(\phi _{n}, \psi _{n})\}$\end{document} is called an effective pair.