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Uncountable graphs and invariant measures on the set of universal countable graphs

机译:通用可数图集上的不可数图和不变测度

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We give new examples and describe the complete lists of all measures on the set of countable homogeneous universal graphs and K_s-free homogeneous universal graphs (for s ≥ 3) that are invariant with respect to the group of all permutations of the vertices. Such measures can be regarded as random graphs (respectively, random K_s-free graphs). The well-known example of Erd?s-Rényi (ER) of the random graph corresponds to the Bernoulli measure on the set of adjacency matrices. For the case of the universal K_s-free graphs there were no previously known examples of the invariant measures on the space of such graphs. The main idea of our construction is based on the new notions of measurable universal, and topologically universal graphs, which are interesting themselves. The realization of the construction can be regarded as two-step randomization for universal measurable graph: "randomization in vertices" and "randomization in edges." For K_s-free, s ≥ 3, there is only randomization in vertices of the measurable graphs. The completeness of our lists is proved using the important theorem by Aldous about S_∞-invariant matrices, which we reformulate in appropriate way.
机译:我们给出新的例子,并描述可数齐次通用图和无K_s的齐次通用图(对于s≥3)的所有度量的完整列表,这些图关于顶点的所有排列的组都是不变的。这样的度量可以被视为随机图(分别是随机的无K_s图)。随机图的著名的Erd?s-Rényi(ER)示例对应于邻接矩阵集上的伯努利测度。对于通用无K_s图,在这些图的空间上没有已知的不变度量的示例。我们构造的主要思想是基于可测量的通用图和拓扑通用图的新概念,它们本身很有趣。构造的实现可以看作是针对通用可测图的两步随机化:“顶点随机化”和“边缘随机化”。对于无K_s且s≥3,在可测量图的顶点中仅存在随机化。名单的完整性是由Aldous关于S_∞不变矩阵的重要定理证明的,我们用适当的方式对其进行了重新表述。

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