License: Creative Commons Attribution 3.0 Unported license (CC-BY 3.0)
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DOI: 10.4230/LIPIcs.CCC.2020.8
URN: urn:nbn:de:0030-drops-125606
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Peleg, Shir ; Shpilka, Amir

A Generalized Sylvester-Gallai Type Theorem for Quadratic Polynomials

LIPIcs-CCC-2020-8.pdf (0.7 MB)


In this work we prove a version of the Sylvester-Gallai theorem for quadratic polynomials that takes us one step closer to obtaining a deterministic polynomial time algorithm for testing zeroness of Ī£^{[3]}Ī Ī£Ī ^{[2]} circuits. Specifically, we prove that if a finite set of irreducible quadratic polynomials š’¬ satisfy that for every two polynomials Qā‚,Qā‚‚ āˆˆ š’¬ there is a subset š’¦ āŠ‚ š’¬, such that Qā‚,Qā‚‚ āˆ‰ š’¦ and whenever Qā‚ and Qā‚‚ vanish then āˆ_{Q_iāˆˆš’¦} Q_i vanishes, then the linear span of the polynomials in š’¬ has dimension O(1). This extends the earlier result [Amir Shpilka, 2019] that showed a similar conclusion when |š’¦| = 1. An important technical step in our proof is a theorem classifying all the possible cases in which a product of quadratic polynomials can vanish when two other quadratic polynomials vanish. I.e., when the product is in the radical of the ideal generated by the two quadratics. This step extends a result from [Amir Shpilka, 2019] that studied the case when one quadratic polynomial is in the radical of two other quadratics.

BibTeX - Entry

  author =	{Shir Peleg and Amir Shpilka},
  title =	{{A Generalized Sylvester-Gallai Type Theorem for Quadratic Polynomials}},
  booktitle =	{35th Computational Complexity Conference (CCC 2020)},
  pages =	{8:1--8:33},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-156-6},
  ISSN =	{1868-8969},
  year =	{2020},
  volume =	{169},
  editor =	{Shubhangi Saraf},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{},
  URN =		{urn:nbn:de:0030-drops-125606},
  doi =		{10.4230/LIPIcs.CCC.2020.8},
  annote =	{Keywords: Algebraic computation, Computational complexity, Computational geometry}

Keywords: Algebraic computation, Computational complexity, Computational geometry
Collection: 35th Computational Complexity Conference (CCC 2020)
Issue Date: 2020
Date of publication: 17.07.2020

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