We improve upon all known lower bounds on the critical fugacity and critical density of the hard sphere model in dimensions two and higher. As the dimension tends to infinity our improvements are by factors of $2$ and $1.7$, respectively. We make these improvements by utilizing techniques from theoretical computer science to show that a certain Markov chain for sampling from the hard sphere model mixes rapidly at low enough fugacities. We then prove an equivalence between optimal spatial and temporal mixing for hard spheres to deduce our results.
翻译:我们改进了硬球模型在二维及以上维度的关键阻力和临界密度方面已知的所有较低界限。由于这一维度趋向于无限,我们的改进分别是2美元和1.7美元的因素。我们利用计算机理论科学的技术来进行这些改进,以表明从硬球模型取样的一定的Markov链条在足够低的阻力条件下迅速混合。然后,我们证明最佳空间和时间混合之间的等值,以得出我们的结果。