科学研究
报告题目:

Transition Density of an Infinite-dimensional diffusion with the Jack Parameter

报告人:

周友洲 教授(西交利物浦大学

报告时间:

报告地点:

老外楼概率统计系办公室

报告摘要:

From the Poisson-Dirichlet diffusions to the $Z$-measure diffusions, they all have explicit transition densities. In this paper, we will show that the transition densities of the $Z$-measure diffusions can also be expressed as a mixture of a sequence of probability measures on the Thoma simplex. The coefficients are still the transition probabilities of the Kingman coalescent stopped at state $1$. This fact will be uncovered by a dual process method in a special case where the $Z$-measure diffusions is established through up-down chain in the Young graph.