2017
DOI: 10.1090/proc/13640
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Localization for uniform algebras generated by real-analytic functions

Abstract: It is shown that if A is a uniform algebra generated by real-analytic functions on a suitable compact subset K of a real-analytic variety such that the maximal ideal space of A is K, and every continuous function on K is locally a uniform limit of functions in A, then A = C(K). This gives an affirmative answer to a special case of a question from the

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Cited by 1 publication
(5 citation statements)
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“…The general idea of the proof of Theorem 1.5 is to use Theorem 2.6 to reduce approximation on a variety V to approximation on successively smaller and smaller sets. In [4] and [5] this was done by considering the support of an arbitrary annihilating measure. As noted in the introduction, it seems that in the present setting dealing with an individual annihilating measure does not work and that we must, in effect, consider all the annihilating measures at once.…”
Section: Preliminariesmentioning
confidence: 99%
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“…The general idea of the proof of Theorem 1.5 is to use Theorem 2.6 to reduce approximation on a variety V to approximation on successively smaller and smaller sets. In [4] and [5] this was done by considering the support of an arbitrary annihilating measure. As noted in the introduction, it seems that in the present setting dealing with an individual annihilating measure does not work and that we must, in effect, consider all the annihilating measures at once.…”
Section: Preliminariesmentioning
confidence: 99%
“…However, it is not obvious that the union of the exceptional set and the singular set, even locally, must itself be contained in a subvariety of V of dimension less than that of V . To get around this difficulty, we proceed as in [4] and [5] treating the exceptional set and singular set separately, introducing a filtration of V into exceptional sets and singular sets of decreasing dimensions. We show by induction on decreasing dimension of the exceptional sets that E A must lie in the singular set.…”
Section: Theorem 26 ([19] Theorem 13)mentioning
confidence: 99%
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