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A QP1QC APPROACH FOR DECIDING WHETHER OR NOT TWO QUADRATIC SURFACES INTERSECT

  • Huu Quang Nguyen
  • , Ting Tsen Lin
  • , Ruey Lin Sheu
  • , Yong Xia
  • Vinh University

Research output: Contribution to journalArticlepeer-review

Abstract

Given two n-variate quadratic functions f(x)=xTAx+2aTx+a0and g(x)=xTBx+2bTx+b0we are interested in knowing whether or not the two hypersurfaces {xϵRn:f(x)=0} and {xϵRn:g(x)=0} intersect with each other. There are two ways of looking at this problem. In one respect, the famous Finsler–Calabi theorem (1936, 1964) asserts that if n ≥3 and f,g are quadratic forms, f=0 and g=0 has no common solution other than the trivial one, x=0, if and only if there exists a positive definite matrix pencil αA+β>0. The result is in general not true for nonhomogeneous quadratic functions. On the other hand, Levin (c. late 1970s) tried to directly solve the intersection curve of {xϵRn:f(x)=0} and {xϵRn:g(x)=0}, but it turned out to be way too ambitious. In this paper, we show that by incorporating the information about the unboundedness and the unattainability of several (at most 4) quadratic programming problems with one single quadratic constraint (QP1QC), the answer as to whether or not {xϵRn:f(x)=0} and {xϵRn:g(x)=0} intersect can be successfully determined.

Original languageEnglish
Pages (from-to)381-408
Number of pages28
JournalSIAM Journal on Optimization
Volume36
Issue number1
DOIs
StatePublished - 2026

Keywords

  • attainability of the optimal value
  • joint numerical range
  • QP1QC
  • S-lemma
  • separation hyperplane theorem
  • two-sided slater’s condition
  • unboundedness of quadratic programming

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