Seminars and Colloquia by Series

Baby Representation Theory of Finite Groups

Series
SIAM Student Seminar
Time
Friday, February 13, 2009 - 12:30 for 2 hours
Location
Skiles 269
Speaker
Yi HuangSchool of Mathematics, Georgia Tech
Let V be a vector space over the field C of complex numbers and let GL(V) be the group of isomorphisms of onto itself. Suppose G is a finite group. A linear representation of G in V is a homomorphism from the group G into the group GL(V). In this talk, I will give a brief introduction to some basic theorems about linear representations of finite groups with concentration on the decomposition of a representation into irreducible sub-representations, and the definition and some nice properties of the character. At the end of the talk, I will re-prove the Burnside lemma in the group theory from the representation theory approach. Since I began learning the topic only very recently, hence an absolute novice myself, I invite all of you to the talk to help me learn the knowledge through presenting it to others. If you are familiar with the topic and want to learn something new, my talk can easily be a disappointment.

Simple Proof of the Law of Iterated Logarithm in Probability

Series
SIAM Student Seminar
Time
Friday, January 30, 2009 - 12:30 for 2 hours
Location
Skiles 269
Speaker
Jinyong MaSchool of Mathematics, Georgia Tech
I plan to give a simple proof of the law of iterated logarithm in probability, which is a famous conclusion relative to strong law of large number, and in the proof I will cover the definition of some important notations in probability such as Moment generating function and large deviations, the proof is basically from Billingsley's book and I made some.

Some interesting examples in the conditional expectation and martingale

Series
SIAM Student Seminar
Time
Friday, January 23, 2009 - 12:30 for 2 hours
Location
Skiles 269
Speaker
Linwei XinSchool of Mathematics, Georgia Tech
In this talk, I will focus on some interesting examples in the conditional expectation and martingale, for example, gambling system "Martingale", Polya's urn scheme, Galton-Watson process, Wright-Fisher model of population genetics. I will skip the theorems and properties. Definitions to support the examples will be introduced. The talk will not assume a lot of probability, just some basic measure theory.

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