Personal tools

Euclidean Embeddings of Snowflake Metric Spaces

— filed under:

by Marie Snipes Kenyon College

  • Analysis Seminar
When Fri, Sep 25, 2015
from 04:00 PM to 05:00 PM
Where Ritter Hall 229
Contact Name
Add event to calendar vCal

Metric spaces are useful tools for modeling sets of objects where there is a natural notion of distance; examples include geographical data, genetic data, and signals (like sound waves or images).  We often seek to classify metric spaces by how Euclidean they look: specifically, we want to know if some metric space can be embedded in Euclidean space.  In this talk we will use examples to introduce the general embedding problem.  We will then discuss a theorem by Assouad guaranteeing bi-Lipschitz embeddings of so-called snowflake metric spaces into Euclidean space and some related work by Naor-Nieman and David-Snipes.

« September 2017 »
Upcoming Events
Computer Science Seminar
Tue, Sep 26, 2017
An Introduction to Persistent Homology by David Letscher, SLU
Math/CS Club
Wed, Sep 27, 2017
Chasing the Sun Kevin Scannell, SLU
Algebra Seminar
Thu, Sep 28, 2017
An introduction to cluster superalgebras 4 Jimmy Mixco, Saint Louis University
Previous events…
Upcoming events…