报告人： 谢践生（复旦大学）
报告时间： 2018年1月5日上午9：30-10：15
地点： 数学楼二楼报告厅

报告摘要：In probability theory, a space is called rich if it can admit sufficiently many (in general, infinitely many) (non-trivial) independent variables. But a probability space with finite samples can only admit a finite number of (non-trivial) independent variables. And it is interesting to find out the exact value of such maximum number for such spaces. It turns out to be a difficult problem with some sense of number theoretic taste. The answer is clear for two kinds of models (to be presented in this talk): one is the well known equi-probability models, and the other may be called the equi-ratio models. More discussions are undergoing (with collaborators and others).