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The Entropy Function of an Invariant Measure

机译:不变措施的熵函数

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Given a countable relational language L. we consider probability measures on the space of L-structures with underlying set N that are invariant under the logic action. We study the growth rate of the entropy function of such a measure, defined to be the function sending n ε N to the entropy of the measure induced by restrictions to L-structures on (0,...,n - 1). When L has finitely many relation symbols, all of arity k ≥ 1. and the measure has a property called non-redundance, we show that the entropy function is of the form Cn~k + o(n~k). generalizing a result of Aldous and Janson. When k ≥ 2, we show that there are invariant measures whose entropy functions grow arbitrarily fast in o(n~k), extending a result of Hatami-Norine. For possibly infinite languages L. we give an explicit upper bound on the entropy functions of non-redundant invariant measures in terms of the number of relation symbols in L of each arity: this implies that finite-valued entropy functions can grow arbitrarily fast.
机译:鉴于可计数的关系语言L.我们考虑L-Surlation的空间概率测量,其中逻辑动作是不变的底层集。我们研究这种度量的熵函数的生长速率,定义为将Nεn的功能发送到通过限制对L-结构引起的测量的熵(0,...,n - 1)。当L有一个有限的关系符号时,ARINEk≥1的所有关系。并且该测量具有称为非冗余的属性,我们表明熵函数是CN〜K + O(n〜k)的形式。概括了Aldous和Janson的结果。当K≥2时,我们表明存在熵函数在O(n〜k)中任意快速增长的不变措施,延长了Hatami-Norine的结果。对于可能的无限语言L.我们在每个ARINIT的L中的关系符号数量方面给出了非冗余不变措施的熵函数的显式上限:这意味着有限熵函数可以随意增长。

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