Kim-Independence and NSOP_1 Theories

Speaker: 

Nick Ramsey

Institution: 

UC Berkeley

Time: 

Monday, November 6, 2017 - 4:00pm

Location: 

RH 440R

Simplicity theory, a core line of research in pure model theory, is built upon a tight connection between a combinatorial dividing line (not having the tree property) and a theory of independence (non-forking independence).  This notion of independence, which generalizes linear independence in vector spaces and algebraic independence in algebraically closed fields, is a key tool in the model-theoretic analysis of concrete mathematical structures.  In work of Chatzidakis and work of Granger, related notions of independence were constructed by ad hoc algebraic means for new examples with non-simple theories.  In order to understand these constructions, we introduced Kim-independence which enjoys a tight connection to the dividing line NSOP_1 and explains the work of Chatzidakis and of Granger on the basis of a general theory.  We will survey this work and discuss recent applications

Statistical learning and reliable processing

Speaker: 

Kino Zhao

Institution: 

UCI (LPS)

Time: 

Monday, November 20, 2017 - 4:00pm

Location: 

RH 440R

One of the primary theoretical tools in machine learning is Vapnik-Chervonenkis dimension (VC dimension), which measures the maximum number of distinct data points a hypothesis set can distinguish. This concept is primarily used in assessing the effectiveness of training classification algorithms from data, and it is established that having finite VC dimension guarantees uniform versions of the various laws of large numbers, in the sense of e.g. Dudley (2014). An important result of Laskowski (1992) showed that finite VC dimension corresponds to a logical notion independently developed by Shelah, known as the non-independence property, and in subsequent decades much work has been done on finite VC dimension within model theory under the aegis of so-called NIP theories (cf. Simon, 2015).

 

However, despite this deep connection to logic, there has been little done on the computable model theory of VC dimension (one recent exception being Andrews and Guingona, 2016). The basic questions here are the following: (1) how computationally difficult is it to detect that one is in a setting with finite VC dimension?, and (2) if one is in this situation, how hard is it to compute what the precise VC dimension is? The current paper aims to answer these questions and discuss their implications.

 

Reference

Andrews, U. and Guingona, V. (2016). A local characterization of VC-minimality. Proceedings of the American Mathematical Society, 144(5):2241–2256.

Dudley, R. M. (2014). Uniform central limit theorems, volume 142 of Cambridge Studies in Advanced Mathematics. Cambridge University Press, New York, second edition.

Laskowski, M. C. (1992). Vapnik-Chervonenkis classes of definable sets. Journal of the London Mathematical Society, 45(2):377–384.

Simon, P. (2015). A Guide to NIP Theories. Lecture Notes in Logic. Cambridge University Press, Cambridge.

The Urysohn sphere is pseudofinite

Speaker: 

Isaac Goldbring

Institution: 

UCI

Time: 

Monday, October 9, 2017 - 4:00pm

Location: 

RH 440R

The Urysohn sphere U is the unique separable metric space of diameter at most 1 with two important properties:  (1)  any separable metric space of diameter at most 1 embeds into U; (2)  any isometry between finite subspaces of $\mathfrak{U}$ extends to a self-isometry of U.  The Urysohn sphere is important both from a descriptive set-theoretic point of view and from a model-theoretic point of view as it can be viewed as the continuous analogue of either an infinite set or the random graph.

In this talk, I will present joint work with Bradd Hart showing that the Urysohn sphere is pseudofinite, meaning roughly that any first-order fact true in every finite metric space is also true in U.  Consequently, U satisfies an approximate 0-1 law which should be of independent combinatorial interest.  The proof uses an important fact from descriptive set theory and some basic probability theory.

Games orbits play

Speaker: 

Aristotelis Panagiotopoulos

Institution: 

Caltech

Time: 

Monday, November 13, 2017 - 4:00pm

Location: 

RH 440R

Classification problems occur in all areas of mathematics. Descriptive set theory provides methods to assign complexity to such problems. Using a technique developed by Hjorth, Kechris and Sofronidis proved, for example, that the problem of classifying all unitary operators $\mathcal{U}(\mathcal{H})$ of an infinite dimensional Hilbert space up to unitary equivalence $\simeq_U$ is strictly more difficult than classifying graph structures with domain $\mathbb{N}$ up to isomorphism.

 
We present a game--theoretic approach to anti--classification results for orbit equivalence relations and use this development to reorganize conceptually the proof of Hjorth's turbulence theorem.  We also introduce a dynamical criterion for showing that an orbit equivalence relation is not Borel reducible to the orbit equivalence relation induced by a CLI group action; that is, a group which admits a complete left invariant metric (recall that, by a result of Hjorth and Solecki, solvable groups are CLI). We deduce that $\simeq_U$ is not classifiable by CLI group actions.

This is a joint work with Martino Lupini.  

Mutual Stationarity

Speaker: 

Omer Ben Neria

Institution: 

UCLA

Time: 

Monday, May 1, 2017 - 4:00pm to 5:30pm

Host: 

Location: 

RH 440R

Mutual stationarity is a notion of infinite products of stationary sets introduced by Foreman and Magidor. The assertion that an infinite sequence of stationary sets is mutually stationary has a natural model theoretic interpretation and can be viewed as a strengthening of the Loewenheim-Skolem property.

Compactness of \omega_1

Speaker: 

Nam Trang

Institution: 

UCI

Time: 

Monday, April 3, 2017 - 4:00pm to 5:30pm

Host: 

Location: 

RH440R

We investigate various aspects of compactness of \omega_1 under ZF+ DC (the Axiom of Dependent Choice). We say that \omega_1 is X-supercompact if there is a normal, fine, countably complete nonprincipal measure on \powerset_{\omega_1}(X) (in the sense of Solovay). We say \omega_1 is X-strongly compact if there is a fine, countably complete nonprincipal measure on \powerset_{\omega_1}(X). A long-standing open question in set theory asks whether (under ZFC) "supercompactness" can be equiconsistent with "strong compactness. We ask the same question under ZF+DC. More specifically, we discuss whether the theories "\omega_1 is X-supercompact" and "\omega_1 is X-strongly compact" can be equiconsistent for various X. The global question is still open but we show that the local version of the question is false for various X. We also discuss various results in constructing and analyzing canonical models of AD^+ + \omega_1 is X-supercompact.

 

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