[kisoron-ml] Kobe Colloquium on Logic, Statistics and Informatics (Ausgust 1, 2012)
SAKAI Hiroshi
hsakai at people.kobe-u.ac.jp
Fri Jul 20 13:12:19 JST 2012
皆様:
神戸大学の酒井拓史と申します.
8月1日(水)に開催される
Kobe Colloquium on Logic, Statistics and Informatics
のアナウンスをさせていただきます.
ご興味をお持ちの方は是非ご参加ください:
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Kobe Colloquium on Logic, Statistics and Informatics:
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August 1, 2012 (Wed.) 16:30 - 18:00 (teabreak: 15:30 -)
``Topological Set Theory''
Dr. Andreas Fackler (LMU Munich)
Abstract
The idea behind positive set theory is to weaken the naive comprehension
principle by omitting all instances in which negation occurs. For example, the
universal class V is a set while the Russell class is not. Surprisingly, this
approach leads to a theory in which V is a topological space in a natural way.
Inspired by that fact, topological set theory TS instead of a comprehension
principle has as its axioms several topological statements about V. Topological
and positive set theory are closely related and in both of them there is an
interesting interplay between the set theoretic and topological properties of
V. Many basic theorems of TS remain true even without the axiom that the
universal class V is a set, although one decisive statement about the ordinal
numbers goes missing. Instead, a surprising connection to another familiar set
theory arises ...
In my talk, I will present this family of axiom systems and give an overview of
results about their implications, their consistency strengths, and their
interrelations. We will also look briefly at their (known) models --
topological structures called hyperuniverses -- and at methods to construct
such objects.
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The talk will be given in the presentation room of the group of Logic,
Statistics and Informatics (inside the glass door with "Fuchino group"
(written in Japanese) on the 4th floor in the Sience and Technology Building 3
http://kurt.scitec.kobe-u.ac.jp/~brendle/Forcing2012/university.jpg
in Rokkodai Campus of Kobe University)
There will be a dinner after the talk.
酒井 拓史
神戸大学大学院
システム情報学研究科 講師
e-mail: hsakai at people.kobe-u.ac.jp
tel: 078-803-6245
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