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Seminars and Colloquiums
for the week of August 25, 2014


SPEAKER:

Prof. Mike Frazier, Thursday
Prof. Nina Fefferman, Rutgers University, Thursday
Prof. Stefan Richter, Friday
Prof. Nina Fefferman, Rutgers University, Friday



Thursday, August 28

DIFFERENTIAL EQUATIONS SEMINAR
TIME: 2:10 - 3:00 p.m.
ROOM: Ayres 113
SPEAKER: Prof. Mike Frazier
TITLE: Introduction to Besov Spaces
ABSTRACT: We discuss some classical results about Lipschitz (or Holder) spaces, leading to their generalizations called Besov spaces.  Then we consider some of the many equivalent characterizations of Besov spaces, in terms of differences, Poisson extensions, heat extensions, or partitions of the frequency scale.

JUNIOR COLLOQUIUM
TIME: 3:35 - 4:25 p.m.
ROOM: Ayres 405
SPEAKER: Prof. Nina Fefferman, Rutgers University
TITLE: Mathematics, Optimization, and the Evolution and Behavior of Social Insects
ABSTRACT: Social insects have a fantastically complex set of behaviors. In this talk, we'll use computational simulation and some game theory to discuss the potential evolutionary implications in three examples: 1) Reproductive Fission in Honey Bees, 2) Cooperative NestFounding in Paperwasps, and 3) Division of Labor and Disease Defense Across Multiple Eusocial Insect Taxa. Our discussion will provide enough math to see how the solutions are achieved without spending too much time on the details, in favor of instead exploring how the mathematical models provide meaningful biological insights.


Friday, August 29

ANALYSIS SEMINAR
TIME: 2:30 - 3:20 p.m.
ROOM: Ayres 111
SPEAKER: Prof. Stefan Richter
TITLE: Hankel operators and invariant subspaces of the Dirichlet shift

COLLOQUIUM
TIME: 3:35 p.m.
ROOM: Ayres 405
SPEAKER: Prof. Nina Fefferman, Rutgers University
TITLE: Provable Boundaries on Disease Outbreaks in Self-Organizing Social Networks
ABSTRACT: Social contacts provide the backbone over which infectious diseases are transmitted. The dynamic networks that describe the contact patterns of social systems over time make predicting disease outbreaks difficult. In this talk, I'll discuss some computational experiments that show how disease patterns on static networks are observably different from those on dynamic networks. I'll then provide some intuition about how to prove boundary conditions about transmission on networks that explain why and under what circumstances we are likely to see those differences.


If you are interested in giving or arranging a talk for one of our seminars or colloquiums, please review our calendar.

If you have questions, or a date you would like to confirm, please contact colloquium AT math DOT utk DOT edu


Past notices:

 

last updated: September 2014

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