IMIC · Inner models and infinite computations
Horizon 2020 — Marie Skłodowska-Curie Actions
- Duration
- 2018-07-01 → 2021-01-14
- EU contribution
- €183,455
- Participants
- 1
- Scheme
- MSCA-IF-EF-ST
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Results in brief
Inner models and infinite computations
Descriptive set theory is a classical topic that dates back to the 19th century. It studies simply definable sets and functions on complete metric spaces, for instance Borel, analytic and projective sets. A typical question is whether sets of a certain complexity are Lebesgue measurable. There are subtle logical issues here, for instance, strong axioms of infinity beyond the axioms of set theory are necessary to show that all projective sets are Lebesgue measurable. In the context of descriptive set theory, it is useful to understand reals, or elements of some other complete metric space, as infinite words (of length N) whose entries are natural numbers. Measurability, and other similar properties, can then be formulated via infinite games, where each move is a natural number. This approach was used extensively by Kechris and others. The objective of this project is to study the descriptive set theory of uncountable words from the viewpoints of set theory and higher computability. Spaces of such words are called generalised Baire spaces. The study of these spaces was initiated by Väänänen and has become a major research theme only in the last decade. Major challenges appear because of fundamental differences to the countable setting, caused by combinatorics of uncountable cardinals, for example the existence of Kurepa trees. One approach links set theory with higher computability. We study uncountable words that can be detected by an algorithm. An analysis of countable recognisable words was carried out in work of Carl, Schlicht and Welch. Hamkins, Leahy and Groszek proved results on the related notion of implicitly definable sets. We aim to understand the precise nature of uncountable recognisable sets, using tools in inner model theory and large cardinals. Another approach lies in applications of games of uncountable length to definable subsets of generalised Baire spaces. Previous results show that it is consistent that some natural games of uncountable length are determined, for instance the perfect set game and the Banach-Mazur game. We aim to study games for analogues to classical dichotomies and other important games such as Lipschitz games in the uncountable setting.
Data: CORDIS, © European Union
Project objective
This proposal is in mathematical logic. It aims to study interactions between set theory and computability. More specifically, we want to apply techniques from inner model theory to computability and randomness. The development of modern set theory began with Paul Cohen's solution of Hilbert's first problem in 1964. Since then, set theory has been used to solve important problems in various areas of mathematics. Descriptive set theory studies definable sets of reals, for instance Borel and analytic sets, and computability studies computable functions and its higher analogues. We propose to develop applications of inner model theory in computability. Inner model theory is a major field of set theory which was pursued for instance by Ronald Jensen (recipient of the AMS Steel prize 2003 and Hausdorff medal 2015) and Hugh Woodin (recipient of the Hausdorff medal 2013). A major aim of this field is to determine the logical strength of theories. Recently, several new approaches for constructions of inner models have been studied, for example via strong logics by Menachem Magidor and Jouko Väänänen. We propose to follow this line of research and to study models constructed via ideas from infinite computation related to work of Joel David Hamkins and Philip Welch. We further propose to apply inner model theory and descriptive set theory to study random sequences. Algorithmic randomness is a central field in computability with connections to theoretical computer science, that has been studied intensively, for instance by Ted Slaman and Andre Nies. We aim to solve problems in the higher generalizations of algorithmic randomness.
Original text from CORDIS.
Participants
- UNIVERSITY OF BRISTOL · BRISTOLCoordinatorUnited Kingdom
Links
Data: CORDIS, © European Union
