Title
First-Order Definability of Trees and Sparse Random Graphs
Abstract
Let D(G) be the smallest quantifier depth of afirst-order formula which is true for a graph G but falsefor any other non-isomorphic graph. This can be viewed as a measurefor the descriptive complexity of G in first-orderlogic.We show that almost surely D(G)=θ(lnn / ln lnn), where G is a random tree of order n or thegiant component of a random graph G(n,c/n)with constant cD(T) for a tree T of order n andmaximum degree l, so we study this problem as well.
Year
DOI
Venue
2007
10.1017/S0963548306008376
Combinatorics, Probability & Computing
Keywords
Field
DocType
constant cd,order n,ln lnn,random graph,afirst-order formula,sparse random graphs,order n andmaximum degree,graph g,non-isomorphic graph,first-order definability,descriptive complexity,random tree,maximum degree,first order,giant component
Random regular graph,Discrete mathematics,Combinatorics,Line graph,Random graph,Graph power,Cubic graph,Degree (graph theory),Graph bandwidth,Mathematics,Branch-decomposition
Journal
Volume
Issue
ISSN
16
3
0963-5483
Citations 
PageRank 
References 
2
0.39
9
Authors
7
Name
Order
Citations
PageRank
Tom Bohman125033.01
Alan M. Frieze24837787.00
Tomasz Łuczak322540.26
Oleg Pikhurko431847.03
Clifford Smyth5246.91
JOEL SPENCER620.39
Oleg Verbitsky719127.50