二元马尔可夫随机场的强空间混合
Strong Spatial Mixing for Binary Markov Random Fields
摘要：
本文研究了平均稀疏图上二元马尔可夫随机场的吉布斯分布。在外场大小一致的条件下，证明了强空间混合。这种关于“外场”的条件在物理学上是有意义的。
英文摘要：
Gibbs distribution of binary Markov random fields on a sparse on average graph is considered in this paper. The strong spatial mixing is proved under the condition that the `external field' is uniformly large or small. Such condition on `external field' is meaningful in physics.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
