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An Improved Projection Operation for Cylindrical Algebraic Decomposition

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Quantifier Elimination and Cylindrical Algebraic Decomposition

Part of the book series: Texts and Monographs in Symbolic Computation ((TEXTSMONOGR))

Abstract

A key component of the cylindrical algebraic decomposition (cad) algorithm is the projection (or elimination) operation: the projection of a set A of r-variate integral polynomials, where r ≥ 2 is defined to be a certain set PROJ(A) of (r − l)-variate integral polynomials. The property of the map PROJ of particular relevance to the cad algorithm is that, for any finite set A of r-variate integral polynomials, where r ≥ 2, if S is any connected subset of (r − 1)-dimensional real space ℝ(r−1) in which every element of PROJ(A) is invariant in sign then the portion of the zero set of the product of those elements of A which do not vanish identically on S that lies in the cylinder S × ℝ over S consists of a number (possibly 0) of disjoint “layers” (or sections) over S in each of which every element of A is sign-invariant: that is, A is “delineable” on S. It follows from this property that, for any finite set A of r-variate integral polynomials, r ≥ 2, any decomposition of ℝ(r−1) into connected regions such that every polynomial in PROJ (A) is invariant in sign throughout every region can be extended to a decomposition of ℝr (consisting of the union of all of the above-mentioned layers and the regions in between successive layers, for each region of ℝ(r−1) such that every polynomial in A is invariant in sign throughout every region of ℝr.

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© 1998 Springer-Verlag/Wien

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McCallum, S. (1998). An Improved Projection Operation for Cylindrical Algebraic Decomposition. In: Caviness, B.F., Johnson, J.R. (eds) Quantifier Elimination and Cylindrical Algebraic Decomposition. Texts and Monographs in Symbolic Computation. Springer, Vienna. https://doi.org/10.1007/978-3-7091-9459-1_12

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  • DOI: https://doi.org/10.1007/978-3-7091-9459-1_12

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-82794-9

  • Online ISBN: 978-3-7091-9459-1

  • eBook Packages: Springer Book Archive

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