CUNY Graduate Center
Room 5417
Fridays 12:30pm-2:00pm
Organized by Alf Dolich
Calendar
February 7
12:30pm NY time
Room: 5417 (NOTICE THE ROOM CHANGE!)
Alf Dolich
CUNY
Introduction to the model theory of the adeles and organization meeting
Abstract
This first meeting will be partially devoted to organizing for the semester. But, I will also begin talking about Jamshid Derakhshan' survey paper on the model theory of the adeles entitled 'Model Theory of the Adeles and Number Theory'.
February 21
12:30pm NY time
Room: 5417
Dave Marker
University of Illinois at Chicago
A uniform definition of ${\mathbb Z}_p$ in ${\mathbb Q_p}$
Abstract
We will discuss the paper of Cluckers, Derakhshan, Leeknegt and Macintyre on uniformly defining valuation rings in Henselian valued fields with finite or pseudofinite residue fields.
February 28
12:30pm NY time
Room: 5417
Alf Dolich
CUNY
Introduction to the model theory of the adeles: part II
Abstract
I will continue talking about Derakhsan's survey article 'Model Theory of Adeles and Number Theory'.
March 7
12:30pm NY time
Room: 5417
Olga Kharlampovich
CUNY
First-order sentences in random groups
Abstract
We prove that a random group, in Gromov's density model with $d\lt 1/2$, satisfies an AE sentence (in the language of groups) if and only if this sentence is true in a nonabelian free group. This is a joint work with R. Sklinos.
March 14
12:30pm NY time
Room: 5417
Alex Kruckman
Wesleyan University
A three body problem in stable (and simple and NSOP_1) theories
Abstract
A few years ago, a problem arose in some of my work that I wasn’t able to solve, forcing me to add a technical hypothesis to a theorem - this has bothered me ever since. The issue has to do with the relationship between independence in a stable (or simple or NSOP_1) theory and independence in a stable reduct. In this rather informal talk, I will describe the problem and some partial results. The audience is welcome to provide proofs or counterexamples.
March 21
12:30pm NY time
Room: 5417
Vince Guingona
Towson University
Statistical Learning and Model Theory
Abstract
In this talk, I explore the connections between Statistical Learning Theory and Model Theory. This includes the connections between PAC-learning and NIP and the connections between differentially private PAC-learning and stability. Finally, I examine the work that my colleagues and I have started on improving the sample complexity of differentially private PAC-learning algorithms using techniques from stability theory. This work is joint with Alexei Kolesnikov, Miriam Parnes, and Natalie Piltoyan.
Previous Semesters