AN OPTIMAL LOWER BOUND ON THE NUMBER OF VARIABLES FOR GRAPH IDENTIFICATION

被引:294
作者
CAI, JY
FURER, M
IMMERMAN, N
机构
[1] PRINCETON UNIV,DEPT COMP SCI,PRINCETON,NJ 08544
[2] UNIV MASSACHUSETTS,DEPT COMP SCI,AMHERST,MA 01003
[3] PENN STATE UNIV,DEPT COMP SCI,UNIV PK,PA 16802
关键词
D O I
10.1007/BF01305232
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In this paper we show that OMEGA(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 - 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.
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页码:389 / 410
页数:22
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