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<item>
  <id>01982523</id>
  <dt>j</dt>
  <an>01982523</an>
  <augroup>
    <au>Bonet, Maria Luisa</au>
    <au>Galesi, Nicola</au>
  </augroup>
  <ti>Degree complexity for a modified pigeonhole principle.</ti>
  <so>Arch. Math. Logic 42, No.5, 403-414 (2003).</so>
  <py>2003</py>
  <pu>Springer-Verlag, Berlin</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
    <cc>F.4.1</cc>
    <cc>I.2.3</cc>
  </ccgroup>
  <utgroup>
    <ut>modified pigeonhole principle</ut>
    <ut>polynomial calculus</ut>
    <ut>resolution</ut>
    <ut>resolution upper bound</ut>
    <ut>degree lower bound</ut>
  </utgroup>
  <cigroup>
    <ci>Zbl 0745.68093</ci>
    <ci>Zbl 1026.03043</ci>
    <ci>Zbl 0946.68129</ci>
    <ci>Zbl 0938.68825</ci>
  </cigroup>
  <ligroup>
    <li>doi:10.1007/s001530200141</li>
  </ligroup>
  <abgroup>
    <ab>Summary: We consider a modification of the pigeonhole principle, MPHP, introduced by {\it A. Goerdt} [Theor. Comput. Sci. 93, 159-167 (1992; Zbl 0745.68093)]. MPHP is defined over $n$ pigeons and $\log n$ holes, and more than one pigeon can go into a hole (according to some rules). Using a technique of {\it A. Razborov} [Comput. Complex. 7, 291-324 (1998; Zbl 1026.03043), reviewed above] and simplified by {\it R. Impagliazzo, P. Pudl\'ak} and {\it J. Sgall} [ibid. 8, 127-144 (1999; Zbl 0946.68129)], we prove that any polynomial calculus refutation of a set of polynomials encoding the MPHP, requires degree $\Omega(\log n)$. We also prove a simple lemma giving a simulation of resolution by polynomial calculus. Using this lemma, and a resolution upper bound by Goerdt [loc. cit.], we obtain that the degree lower bound is tight. Our lower bound establishes the optimality of the tree-like resolution simulation by the polynomial calculus given by {\it M. Clegg, J. Edmonds} and {\it R. Impagliazzo} [Proc. 28th annual ACM Symp. on the theory of computing (STOC), 1996. New York: ACM, 174-183 (1996; Zbl 0938.68825)].</ab>
    <rv></rv>
  </abgroup>
</item>