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Entropy compression versus Lovász Local Lemma
Advances in Applied Mathematics ( IF 1.0 ) Pub Date : 2021-01-15 , DOI: 10.1016/j.aam.2021.102163 Rogério G. Alves , Aldo Procacci , Remy Sanchis
中文翻译:
熵压缩与Lovász局部引理
更新日期:2021-01-15
Advances in Applied Mathematics ( IF 1.0 ) Pub Date : 2021-01-15 , DOI: 10.1016/j.aam.2021.102163 Rogério G. Alves , Aldo Procacci , Remy Sanchis
In the framework of the probabilistic method in combinatorics, we provide a systematization of the entropy compression method clarifying the setting in which it can be applied and providing a theorem yielding a general constructive criterion. We finally elucidate, through topical examples, the effectiveness of the entropy-compression criterion in comparison with the Lovász Local Lemma criterion and, in particular, with the improved criterion based on cluster expansion.
中文翻译:
熵压缩与Lovász局部引理
在组合概率方法的框架中,我们提供了熵压缩方法的系统化,阐明了可以应用的环境,并提供了产生一般构造准则的定理。最后,通过一些典型的例子,我们说明了熵压缩准则与LovászLocal Lemma准则(尤其是基于聚类扩展的改进准则)相比的有效性。