November 2, 2016
5:00PM - 6:00PM
Math Building 052 (Undergrad Math Study Space)
Add to Calendar
2016-11-02 17:00:00
2016-11-02 18:00:00
Radical Pi Meeting
Title: Staying positive: from networks to matricesSpeaker: Rachel Karpman (The Ohio State University)Abstract: An n-by-n matrix is totally positive if all of its minor determinants are positive numbers. Matrices with this property have important applications in mathematical physics. However, it's not obvious that totally positive matrices of all sizes even exist! In this talk, we will give a way to construct totally positive matrices, using a remarkable connection between matrices and networks. There will be lots of pictures. No background on networks or graph theory is needed for the talk. A bit of exposure to linear algebra (matrix multiplication and determinants) will be helpful, but not necessary.
Math Building 052 (Undergrad Math Study Space)
OSU ASC Drupal 8
ascwebservices@osu.edu
America/New_York
public
Date Range
Add to Calendar
2016-11-02 17:00:00
2016-11-02 18:00:00
Radical Pi Meeting
Title: Staying positive: from networks to matricesSpeaker: Rachel Karpman (The Ohio State University)Abstract: An n-by-n matrix is totally positive if all of its minor determinants are positive numbers. Matrices with this property have important applications in mathematical physics. However, it's not obvious that totally positive matrices of all sizes even exist! In this talk, we will give a way to construct totally positive matrices, using a remarkable connection between matrices and networks. There will be lots of pictures. No background on networks or graph theory is needed for the talk. A bit of exposure to linear algebra (matrix multiplication and determinants) will be helpful, but not necessary.
Math Building 052 (Undergrad Math Study Space)
Department of Mathematics
math@osu.edu
America/New_York
public
Title: Staying positive: from networks to matrices
Speaker: Rachel Karpman (The Ohio State University)
Abstract: An n-by-n matrix is totally positive if all of its minor determinants are positive numbers. Matrices with this property have important applications in mathematical physics. However, it's not obvious that totally positive matrices of all sizes even exist! In this talk, we will give a way to construct totally positive matrices, using a remarkable connection between matrices and networks. There will be lots of pictures. No background on networks or graph theory is needed for the talk. A bit of exposure to linear algebra (matrix multiplication and determinants) will be helpful, but not necessary.
