Announcing the Kai Lai Chung Papers online

The University of Florida Libraries’ Digital Services and Shared Collections department in partnership with the Manuscripts and Archives Section of the Department of Special and Area Studies Collections are proud to announce the online launch of the Kai Lai Chung Papers.

The Kai Lai Chung Papers consists of correspondence, both incoming and outgoing, and notebooks for Chung’s lectures, research and publications. The collection reflects Chung’s contribution to the study of mathematics and also his interest in the historical contributions of others, in particular Pao Lu Hsu and French mathematician Wolfgang (Vincent) Doeblin. In later years, Chung made annotations and comments to his files. These are found throughout the collection in the margins of documents and as post-it notes attached to files. A keyword index for the letters and notebooks is available. Kai Lai Chung was born in Hangzhou in Zhejiang Province of China in 1917. He entered Tsinghua University in 1936 to study physics. He later attended the National Southwestern Associated University where he earned a degree in mathematics. He studied number theory with Lo Keng Hua and probability theory with Pao Lu Hsu. Chung did his doctoral work at Princeton University. His dissertation, “On the maximum partial sum of sequences of independent random variables” was completed in 1947. Chung taught at the University of Chicago, Columbia University, the University of California, Cornell University and Syracuse University before securing a position at Stanford University in 1961. His primary work was in probability theory, specifically Brownian motion and the theory of Markov chains. He was one of the founders of the Seminars on Stochastic Processes. Chung died in 2009.

All materials in the Kai Lai Chung Papers within the UF Digital Collections ( are freely and fully accessible. See the Kai Lai Chung Papers here:

Note: The functionalities and features of the UF Digital Collections are supported using the UF-developed SobekCM software. SobekCM is released as open source software under the GNU GPL license and can be downloaded from the SobekCM Software Download Site: To learn more about the technologies, please visit the SobekCM page:

Carl Van Ness, Head of Manuscripts and Archives,, 352-273-2764
Laurie Taylor, UF Digital Collections,, 352-273-2902