DocumentCode :
2248068
Title :
An optimal lower bound on the number of variables for graph identification
Author :
Cai, Jin-Yi ; Furer, M. ; Immerman, Neil
Author_Institution :
Dept. of Comput. Sci., Princeton Univ., NJ, USA
fYear :
1989
fDate :
30 Oct-1 Nov 1989
Firstpage :
612
Lastpage :
617
Abstract :
It is shown that Ω[n] variables are needed for first-order logic with counting to identify graphs on n vertices. This settles a long-standing open problem. The lower bound remains true over a set of graphs of color class size 4. This contrasts sharply with the fact that three variables suffice to identify all graphs of color class size 3, and two variables suffice to identify almost all graphs. The lower bound is optimal up to multiplication by a constant because n variables obviously suffice to identify graphs on n vertices
Keywords :
formal logic; graph theory; first-order logic; graph identification; lower bound; optimal lower bound; Complexity theory; Computer science; Labeling; Logic; Orbits; Particle separators; Polynomials; Testing; Tree graphs; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Foundations of Computer Science, 1989., 30th Annual Symposium on
Conference_Location :
Research Triangle Park, NC
Print_ISBN :
0-8186-1982-1
Type :
conf
DOI :
10.1109/SFCS.1989.63543
Filename :
63543
Link To Document :
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