树上局域Gibbs测度与去局域梯度Gibbs测度的共存
Coexistence of localized Gibbs measures and delocalized gradient Gibbs measures on trees
AI总结:
本文研究正则树上整数自旋梯度模型,给出转移算子Q的p-范数条件,证明局域Gibbs测度与去局域梯度Gibbs测度共存,涵盖SOS模型及重尾模型。
摘要:
我们研究了自旋取值于整数(或整数格)的梯度模型,这些自旋通过一个仅依赖于相邻位点自旋值之差的通用势能相互作用,位于具有d+1个邻居的正则树上。我们首先给出关于相关转移算子Q的相应p-范数的一般条件,这些条件确保了可数个真Gibbs测度族的存在性。接下来,在Q的自然条件下,我们证明了去局域梯度Gibbs测度的存在性。这意味着对于大类模型,包括SOS模型以及由对数增长势能等产生的重尾模型,两类测度可以共存。
英文摘要:
We study gradient models for spins taking values in the integers (or an integer lattice), which interact via a general potential depending only on the differences of the spin values at neighboring sites, located on a regular tree with d + 1 neighbors. We first provide general conditions in terms of the relevant p-norms of the associated transfer operator Q which ensure the existence of a countable family of proper Gibbs measures. Next we prove existence of delocalized gradient Gibbs measures, under natural conditions on Q. This implies coexistence of both types of measures for large classes of models including the SOS-model, and heavy-tailed models arising for instance for potentials of logarithmic growth.
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