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Algorithmic complexity of structures and their equivalence relations

Project description

Research throws more light on the computational and descriptive complexity of mathematical objects

Computable structure theory quantifies and studies the complexity of mathematical structures. The most common way to study their complexity is through degree spectra. Funded by the Marie Skłodowska-Curie Actions programme, the ACOSE project aims to further our understanding of the computational and descriptive complexity of mathematical objects (such as structures and relations) and their associated classification problems. Researchers will provide further insight into the overlooked relationship between the descriptive complexity of a set and the degree spectrum under a given equivalence relation. The newly developed techniques could help closely tie the fields of descriptive set theory and computable structure theory.

Objective

We will investigate the algorithmic complexity of mathematical structures and its connection with notions of complexity studied in descriptive set theory at. The main subject area of the planned research is computable structure theory — an area of logic concerning itself with the computational complexity of countable mathematical structures. Mathematicians usually consider structures up to some equivalence relation. For example, a number theorists works in the standard model of arithmetic, the natural numbers with addition and multiplication, but it is of little interest to him whether he works in the canonic representation or in some isomorphic copy as this does not impact his work.
However, for computational matters the choice of representation is highly important. Therefore one usually measures the algorithmic complexity of a structure by its degree spectrum, the set of Turing degrees of structure equivalent to the structure under a given equivalence relation.
Degree spectra are the main subject of investigation in computable structure theory. A natural way to think of degree spectra is as sets of subsets of the natural numbers, and these sets are studied in descriptive set theory.

So far the relation between the descriptive complexity of a set and whether it can be a degree spectrum under a given equivalence relation has been overlooked. The goal of this project is to relate the descriptive complexity of sets with their realizability as degree spectra under some equivalence relation.
We plan to obtain new results and develop new techniques which will be beneficial to both descriptive set theory and computable structure theory and hope to form a lasting connection between those fields.

The fellowship will be carried out over 36 months, 24 months at the University of California, Berkeley under supervision of Prof. Antonio Montalbán and 12 months at TU Wien under the supervision of Professors Ekaterina Fokina and Matthias Baaz.

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Topic(s)

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Funding Scheme

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MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

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Call for proposal

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(opens in new window) H2020-MSCA-IF-2020

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Coordinator

TECHNISCHE UNIVERSITAET WIEN
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 252 349,44
Address
KARLSPLATZ 13
1040 Wien
Austria

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Region
Ostösterreich Wien Wien
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 252 349,44

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