An Optimal Lower Bound on the Number of Variables for Graph Identification (1992)
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| Venue: | COMBINATORICA |
| Citations: | 119 - 9 self |
BibTeX
@MISC{Cai92anoptimal,
author = {Jin-yi Cai and Martin Fürer and Neil Immerman},
title = {An Optimal Lower Bound on the Number of Variables for Graph Identification},
year = {1992}
}
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Abstract
In this paper we show that\Omega\Gamma n) variables are needed for first-order logic with counting to identify graphs on n vertices. The k-variable language with counting is equivalent to the (k \Gamma 1)-dimensional Weisfeiler-Lehman method. We thus settle a long-standing open problem. Previously it was an open question whether or not 4 variables suffice. Our lower bound remains true over a set of graphs of color class size 4. This contrasts sharply with the fact that 3 variables suffice to identify all graphs of color class size 3, and 2 variables suffice to identify almost all graphs. Our lower bound is optimal up to multiplication by a constant because n variables obviously suffice to identify graphs on n vertices.







