期刊文献+

Sharp heat kernel bounds and entropy in metric measure spaces

Sharp heat kernel bounds and entropy in metric measure spaces
原文传递
导出
摘要 We establish the sharp upper and lower bounds of Gaussian type for the heat kernel in the metric measure space satisfying the RCD(0, N)(equivalently, RCD~*(0, N), condition with N∈N\ {1} and having the maximum volume growth, and then show its application on the large-time asymptotics of the heat kernel, sharp bounds on the(minimal) Green function, and above all, the large-time asymptotics of the Perelman entropy and the Nash entropy, where for the former the monotonicity of the Perelman entropy is proved. The results generalize the corresponding ones in the Riemannian manifolds, and some of them appear more explicit and sharper than the ones in metric measure spaces obtained recently by Jiang et al.(2016). We establish the sharp upper and lower bounds of Gaussian type for the heat kernel in the metric measure space satisfying the RCD(0, N)(equivalently, RCD-*(0, N), condition with N∈N/ {1} and having the maximum volume growth, and then show its application on the large-time asymptotics of the heat kernel, sharp bounds on the(minimal) Green function, and above all, the large-time asymptotics of the Perelman entropy and the Nash entropy, where for the former the monotonicity of the Perelman entropy is proved. The results generalize the corresponding ones in the Riemannian manifolds, and some of them appear more explicit and sharper than the ones in metric measure spaces obtained recently by Jiang et al.(2016).
作者 Huaiqian Li
机构地区 School of Mathematics
出处 《Science China Mathematics》 SCIE CSCD 2018年第3期487-510,共24页 中国科学:数学(英文版)
基金 supported by National Natural Science Foundation of China (Grant No. 11401403) the Australian Research Council (Grant No. DP130101302)
关键词 entropy heat kernel maximum volume growth Riemannian curvature-dimension condition 内核 空格 公制 Gaussian 加热 应用程序 RCD
  • 相关文献

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部