2012
DOI: 10.1007/s00365-012-9156-0
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Approximation of Analytic Sets with Proper Projection by Algebraic Sets

Abstract: Let X be an analytic subset of U × C n of pure dimension k such that the projection of X onto U is a proper mapping, where U ⊂ C k is a Runge domain. We show that X can be approximated by algebraic sets. Next we present a constructive method for local approximation of analytic sets by algebraic ones.

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Cited by 8 publications
(9 citation statements)
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“…Then one cannot simply replace the defining functions by approximating polynomials as this gives sets of strictly smaller dimensions. Nevertheless, algebraic approximations do exist for a large subclass of the class of non-complete intersections (see [5], [6], [8]). In particular, every analytic set admits local algebraic approximations which in many cases can be effectively constructed.…”
Section: Introductionmentioning
confidence: 99%
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“…Then one cannot simply replace the defining functions by approximating polynomials as this gives sets of strictly smaller dimensions. Nevertheless, algebraic approximations do exist for a large subclass of the class of non-complete intersections (see [5], [6], [8]). In particular, every analytic set admits local algebraic approximations which in many cases can be effectively constructed.…”
Section: Introductionmentioning
confidence: 99%
“…One of the main tools used in the construction is Theorem 3.1 discussed in the present paper (cf. [6], p. 284) and the algorithm following from its proof.…”
Section: Introductionmentioning
confidence: 99%
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“…The original proof of Lempert's approximation theorem [21], pp 338-339, relies on the general Néron desingularization, a deep and difficult result of commutative algebra for which the reader is referred to [1], [26], [27], [28], [29], [30]. Theorem 1.1 is expressed in terms of analytic geometry and has had numerous applications in the theory of several complex variables (see [5], [11], [12], [13], [21], [23], [25], [31]). It is natural to ask whether one can replace Néron desingularization by simpler geometric methods.…”
Section: Introductionmentioning
confidence: 99%