Professor Jiun-Chau Wang(University of Saskatchewan)Free convolution and random matrices

臺灣大學數學系演講公告
NTU Colloquium
Speaker: Professor Jiun-Chau Wang(University of Saskatchewan)
Title: Free convolution and random matrices
Abstract: The past decade has seen many advances in wireless communication theory and their implementation in wireless systems. Matrices with randomly sampled entries, the so-called random matrices, come naturally into the play due to the varying characteristics of the wireless network systems. Researchers found that the performance measurement for many multiuser wireless systems is relative to the limiting behavior of the corresponding random matrix models when the size of the matrices go without bound.
Free probability provides a right framework for studying such a behavior. It was invented by Dan Voiculescu in 1983 in order to understand the structure of certain von Neumann algebras. His discovery in 1991 that large random matrices satisfy asymptotically the freeness condition changed the theory dramatically and brought new
concepts and tools into the random matrix theory. Examples include free convolution and R- and S-transforms. Moreover, in recent years, engineers started to apply free probability tools to solve problems in wireless communications, and this has made free probability an interesting and important field for applied scientists.
This talk will be a survey on the theory of free convolution and some of its applications to random matrices, with an emphasis on the complex and harmonic analysis side.
Time:14:20 - 15:20, Dec. 20(Mon.), 2010
Place:Room 202, Freshmen Building, National Taiwan University(臺灣大學新生大樓202室)
 


〈活動訊息〉 2010-12-08 (星期三)