Past Probability Seminars Spring 2020: Difference between revisions
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==Tuesday, February 14, Jean-Luc Thiffeault, UW-Madison== | ==Tuesday, February 14, Jean-Luc Thiffeault, UW-Madison== | ||
Title: | Title: Biomixing and large deviations | ||
Abstract: As fish, micro-organisms, or other bodies move through a fluid, they | |||
stir their surroundings. This can be beneficial to some fish, since | |||
the plankton they eat depends on a well-stirred medium to feed on | |||
nutrients. Bacterial colonies also stir their environment, and this | |||
is even more crucial for them since at small scales there is no | |||
turbulence to help mixing. I will discuss a simple model of the | |||
stirring action of moving bodies through a fluid. An attempt will be | |||
made to explain existing data on the displacements of small particles, | |||
which exhibits probability densities with exponential tails. A | |||
large-deviation approach helps to explain some of the data, but | |||
mysteries remain. | |||
==Tuesday, March 5, Janosch Ortmann, University of Toronto== | ==Tuesday, March 5, Janosch Ortmann, University of Toronto== | ||
Revision as of 19:15, 28 January 2013
Spring 2013
Thursdays in 901 Van Vleck Hall at 2:25 PM, unless otherwise noted. If you would like to receive announcements about upcoming seminars, please visit this page to sign up for the email list.
Thursday, January 31, Bret Larget, UW-Madison
Title: TBA
Abstract: TBA
Tuesday, February 14, Jean-Luc Thiffeault, UW-Madison
Title: Biomixing and large deviations
Abstract: As fish, micro-organisms, or other bodies move through a fluid, they stir their surroundings. This can be beneficial to some fish, since the plankton they eat depends on a well-stirred medium to feed on nutrients. Bacterial colonies also stir their environment, and this is even more crucial for them since at small scales there is no turbulence to help mixing. I will discuss a simple model of the stirring action of moving bodies through a fluid. An attempt will be made to explain existing data on the displacements of small particles, which exhibits probability densities with exponential tails. A large-deviation approach helps to explain some of the data, but mysteries remain.
Tuesday, March 5, Janosch Ortmann, University of Toronto
Title: TBA
Abstract: TBA
Thursday, March 14, Brian Rider, Temple University
Title: TBA
Abstract: TBA
Thursday, March 21, Neil O'Connell, University of Warwick
Title: TBA
Abstract: TBA
Thursday, April 11, Kevin Lin University of Arizona
Title: TBA
Abstract: TBA
Thursday, April 25, Fraydoun Rezakhanlou, UC - Berkeley
Title: TBA
Abstract: TBA
Wednesday, May 1, Bálint Vető, University of Bonn
Title: TBA
Abstract: TBA