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arXiv math/0506288math.CO
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树与稀疏随机图的一阶可定义性

First Order Definability of Trees and Sparse Random Graphs

Tom Bohman, Alan Frieze, Tomasz Luczak, Oleg Pikhurko, Clifford Smyth, Joel Spencer, Oleg Verbitsky

摘要:

设D(G)是一个一阶公式的最小量词深度,该公式对图G为真,但对其它非同构图为假。这可以看作是G的一阶描述复杂度的度量。我们将证明几乎必然D(G)=Θ(\ln n/ \ln \ln n),其中G是n阶随机树或随机图G(n,c/n)的巨分支,且c>1.这些结果依赖于计算最大度为l的n阶树T的D(T)的最大值,因此我们也研究了这个问题。

英文摘要:

Let D(G) be the smallest quantifier depth of a first order formula which is true for a graph G but false for any other non-isomorphic graph. This can be viewed as a measure for the first order descriptive complexity of G. We will show that almost surely D(G)=Θ(\ln n/\ln\ln n), where G is a random tree of order n or the giant component of a random graph G(n,c/n) with constant c>1. These results rely on computing the maximum of D(T) for a tree T of order n and maximum degree l, so we study this problem as well.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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