Gibbsianness and non-Gibbsianness for Bernoulli lattice fields under removal of isolated sites

IF 1.5 2区 数学 Q2 STATISTICS & PROBABILITY
Bernoulli Pub Date : 2021-09-28 DOI:10.3150/22-bej1572
B. Jahnel, C. Kuelske
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引用次数: 2

Abstract

We consider the i.i.d. Bernoulli field $\mu_p$ on $\mathbb{Z}^d$ with occupation density $p\in [0,1]$. To each realization of the set of occupied sites we apply a thinning map that removes all occupied sites that are isolated in graph distance. We show that, while this map seems non-invasive for large $p$, as it changes only a small fraction $p(1-p)^{2d}$ of sites, there is $p(d)<1$ such that for all $p\in(p(d),1)$ the resulting measure is a non-Gibbsian measure, i.e., it does not possess a continuous version of its finite-volume conditional probabilities. On the other hand, for small $p$, the Gibbs property is preserved.
伯努利格场在去除孤立位条件下的Gibbsianness和non-Gibbsianness
我们考虑在$\mathbb{Z}^d$上具有占用密度$p\in[0,1]$的i.i.d伯努利域$\mu_p$。对于每一个被占用站点集的实现,我们应用一个细化的地图,删除所有在图距离上隔离的被占用站点。我们证明,虽然这个映射对于大的$p$似乎是非侵入性的,因为它只改变了一小部分$p(1-p)^{2d}$的位置,但有$p(d)<1$使得对于所有$p\in(p(d),1)$,得到的测度是一个非吉布斯测度,即它不具有其有限体积条件概率的连续版本。另一方面,对于小$p$,吉布斯性质保持不变。
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来源期刊
Bernoulli
Bernoulli 数学-统计学与概率论
CiteScore
3.40
自引率
0.00%
发文量
116
审稿时长
6-12 weeks
期刊介绍: BERNOULLI is the journal of the Bernoulli Society for Mathematical Statistics and Probability, issued four times per year. The journal provides a comprehensive account of important developments in the fields of statistics and probability, offering an international forum for both theoretical and applied work. BERNOULLI will publish: Papers containing original and significant research contributions: with background, mathematical derivation and discussion of the results in suitable detail and, where appropriate, with discussion of interesting applications in relation to the methodology proposed. Papers of the following two types will also be considered for publication, provided they are judged to enhance the dissemination of research: Review papers which provide an integrated critical survey of some area of probability and statistics and discuss important recent developments. Scholarly written papers on some historical significant aspect of statistics and probability.
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