摘要
在假设热核估计满足一定的有界性条件下,讨论度量测度空间上对称马氏过程对应梯度型算子的弱(1,1)有界性,所得结论对建立马氏算子Riesz变换的有界性具有重要意义。最后通过相关例证说明所给假设条件的合理与普适性。
Under certain bounded condition on the heat kernel estimate, weak type(1,1)boundedness of gradient-type operator associated with symmetric Markov processes on metric measure space was discussed in this paper.This assertion is of great significance to establish the boundedness of Riesz transformation for Markov operators. Moreover,the rationality and universality of the given assumptions are illustrated by relevant examples.
作者
周博文
张龙腾
梁明杰
ZHOU Bo-wen;ZHANG Long-teng;LIANG Ming-jie(School of Mathematics and Statistics,Fujian Normal University,Fuzhou350007,China;Concord University College,Fujian Normal University,Fuzhou350007,China;School of Information Engineering,Sanming University,Sanming 365004,China)
出处
《三明学院学报》
2022年第3期8-19,共12页
Journal of Sanming University
基金
国家自然科学基金面上项目(12071076)
福建师范大学校创新团队“概率与统计:理论和应用”(IRTL1704)。
关键词
梯度型算子
对称马氏过程
热核估计
弱(1
1)有界性
gradient-type operators
symmetric Markov processes
heat kernel estimate
weak type(1,1)boundedness