MAGIC107: Computability Theory and Applications

Course details

Semester

Spring 2021
Monday, January 25th to Friday, March 19th; Monday, April 26th to Friday, May 7th

Hours

Live lecture hours
10
Recorded lecture hours
0
Total advised study hours
40

Timetable

Fridays
12:05 - 12:55

Course forum

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Description

This is an introductory course on computability theory, the branch of mathematical logic concerned with classifying sets of natural numbers by how much extra information is needed to describe them by computer programs.  The computational strength of a set is intimately tied to the complexity of its definition, thus, more generally, computability theory is the study of definable sets of natural numbers.  Any countable mathematical object, such as a countable ring or a countable graph, can be coded by a set of natural numbers.  A continuous function on the reals, for example, can be coded by a set of natural numbers too.  Thus the techniques and results of computability theory can be applied to describe the complexities of all manner of mathematical objects.

The computational strength of a set is measured by its Turing degree.  The collection of all Turing degrees has a rich structure and is the central object of study in computability theory.  This course introduces the basic theory of the Turing degrees.  Time permitting, the course also surveys contemporary research directions that connect to other areas of mathematics, such as reverse mathematics and algorithmic randomness. 

Prerequisites

The following prerequisites are preferable but not essential:
  • A basic knowledge of first-order logic. 
  • Familiarity with a formal model of computation, such as Turing machines, register machines, while programs, or similar. 
  • A basic knowledge of undecidability, such as many-one reducibility and the undecidability of the halting problem. 

Syllabus

Core topics:
  • Review of computable functions, computably enumerable sets, and undecidability.
  • Turing reducibility.
  • The arithmetical hierarchy.
  • Basic structure of the Turing degrees.
  • Basic structure of the computably enumerable Turing degrees.
  • Trees and diagonally non-computable functions.
Additional topics and applications:
  • Reverse mathematics.
  • Algorithmic randomness.

Lecturer

  • PS

    Dr Paul Shafer

    University
    University of Leeds

Bibliography

Follow the link for a book to take you to the relevant Google Book Search page

You may be able to preview the book there and see links to places where you can buy the book. There is also link marked 'Find this book in a library' - this sometimes works well, but not always - you will need to enter your location, but it will be saved after you do that for the first time.

  • Algorithmic Randomness and Complexity (Rodney G. Downey and Denis R. Hirschfeldt, book)
  • Computability and Randomness (AndrĂ© Nies, book)
  • Computability Theory (S. Barry Cooper, book)
  • Computability Theory (Rebecca Weber, book)
  • Degrees of Unsolvability (Manuel Lerman, book)
  • Recursively Enumerable Sets and Degrees (Robert I. Soare, book)
  • Slicing the Truth (Denis R Hirschfeldt, book)
  • Subsystems of Second Order Arithmetic (Stephen G. Simpson, book)
  • Theory of Recursive Functions and Effective Computability (Hartley Rogers, book)
  • Turing Computability (Robert I. Soare, book)

Assessment

Description

MAGIC 107 Assessment

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