Theory and Applications of Computability
a book series in cooperation with the Association Computability in Europe

Series Overview

The book series Theory and Applications of Computability is published by Springer in cooperation with the Association Computability in Europe.

Books published in this series will be of interest to the research community and graduate students, with a unique focus on issues of computability. The perspective of the series is multidisciplinary, recapturing the spirit of Turing by linking theoretical and real-world concerns from computer science, mathematics, biology, physics, and the philosophy of science.

The series includes research monographs, advanced and graduate texts, and books that offer an original and informative view of computability and computational paradigms.

Volume 7

Damir D. Dzhafarov, Carl Mummert

Reverse Mathematics
Problems, Reductions, and Proofs

1st Edition., 2022, X, 480 p. 20 illus.
Hardcover, ISBN 978-3-031-11366-6

Reverse mathematics studies the complexity of proving mathematical theorems and solving mathematical problems. Typical questions include: Can we prove this result without first proving that one? Can a computer solve this problem? A highly active part of mathematical logic and computability theory, the subject offers beautiful results as well as significant foundational insights.

This text provides a modern treatment of reverse mathematics that combines computability theoretic reductions and proofs in formal arithmetic to measure the complexity of theorems and problems from all areas of mathematics. It includes detailed introductions to techniques from computable mathematics, Weihrauch style analysis, and other parts of computability that have become integral to research in the field.

Topics and features:

  • Provides a complete introduction to reverse mathematics, including necessary background from computability theory, second order arithmetic, forcing, induction, and model construction
  • Offers a comprehensive treatment of the reverse mathematics of combinatorics, including Ramsey's theorem, Hindman's theorem, and many other results
  • Provides central results and methods from the past two decades, appearing in book form for the first time and including preservation techniques and applications of probabilistic arguments
  • Includes a large number of exercises of varying levels of difficulty, supplementing each chapter
The text will be accessible to students with a standard first year course in mathematical logic. It will also be a useful reference for researchers in reverse mathematics, computability theory, proof theory, and related areas.

Volume 6

Vasco Brattka, Peter Hertling (Eds.)

Handbook of Computability and Complexity in Analysis

1st Edition., 2021, XXIV, 426 p. 23 illus.
Hardcover, ISBN 978-3-030-59233-2

Computable analysis is the modern theory of computability and complexity in analysis that arose out of Turing's seminal work in the 1930s. This was motivated by questions such as: which real numbers and real number functions are computable, and which mathematical tasks in analysis can be solved by algorithmic means?

Nowadays this theory has many different facets that embrace topics from computability theory, algorithmic randomness, computational complexity, dynamical systems, fractals, and analog computers, up to logic, descriptive set theory, constructivism, and reverse mathematics. In recent decades computable analysis has invaded many branches of analysis, and researchers have studied computability and complexity questions arising from real and complex analysis, functional analysis, and the theory of differential equations, up to (geometric) measure theory and topology.

This handbook represents the first coherent cross-section through most active research topics on the more theoretical side of the field. It contains 11 chapters grouped into parts on computability in analysis; complexity, dynamics, and randomness; and constructivity, logic, and descriptive complexity. All chapters are written by leading experts working at the cutting edge of the respective topic. Researchers and graduate students in the areas of theoretical computer science and mathematical logic will find systematic introductions into many branches of computable analysis, and a wealth of information and references that will help them to navigate the modern research literature in this field.

Volume 5

S. Barry Cooper, Mariya Soskova (Eds.)

The Incomputable
Journeys Beyond the Turing Barrier

1st Edition., 2017, X, 292 p. 10 illus.
Hardcover, ISBN 978-3-319-43667-8

This book questions the relevance of computation to the physical universe. Our theories deliver computational descriptions, but the gaps and discontinuities in our grasp suggest a need for continued discourse between researchers from different disciplines, and this book is unique in its focus on the mathematical theory of incomputability and its relevance for the real world. The core of the book consists of thirteen chapters in five parts on extended models of computation; the search for natural examples of incomputable objects; mind, matter, and computation; the nature of information, complexity, and randomness; and the mathematics of emergence and morphogenesis.
This book will be of interest to researchers in the areas of theoretical computer science, mathematical logic, and philosophy.

Editorial Board

Founding Editors: P. Bonizzoni, V. Brattka, S.B. Cooper, E. Mayordomo


Formal or informal book proposals can be sent directly to members of the editorial board (contact details are on the linked web pages above).

Series Advisory Board


Volume 4

Robert I. Soare

Turing Computability
Theory and Applications

1st Edition., 2016, XXXVI, 263 p. 4 illus.
Hardcover, ISBN 978-3-642-31932-7

Turing's famous 1936 paper introduced a formal definition of a computing machine, a Turing machine. This model led to both the development of actual computers and to computability theory, the study of what machines can and cannot compute. This book presents classical computability theory from Turing and Post to current results and methods, and their use in studying the information content of algebraic structures, models, and their relation to Peano arithmetic. The author presents the subject as an art to be practiced, and an art in the aesthetic sense of inherent beauty which all mathematicians recognize in their subject.

Volume 3

Dag Normann, John Longley

Higher Order Computability

1st Edition., 2015, X, 575 p. 2 illus.
Hardcover, ISBN 978-3-662-47991-9

This book offers a self-contained exposition of the theory of computability in a higher-order context, where 'computable operations' may themselves be passed as arguments to other computable operations. The subject originated in the 1950s with the work of Kleene, Kreisel and others, and has since expanded in many different directions under the influence of workers from both mathematical logic and computer science. The ideas of higher-order computability have proved valuable both for elucidating the constructive content of logical systems, and for investigating the expressive power of various higher-order programming languages.

Volume 2

Douglas S. Bridges, Luminiţa Simona Vîţă

Apartness and Uniformity
A Constructive Development

1st Edition., 2011, XIV, 198 p. 3 illus.
Hardcover, ISBN 978-3-642-22414-0

Largely an exposition of the authors' own research, this is the first book dealing with the apartness approach to constructive topology, and is a valuable addition to the literature on constructive mathematics and on topology in computer science. It is aimed at graduate students and advanced researchers in theoretical computer science, mathematics, and logic who are interested in constructive/algorithmic aspects of topology.

Volume 1

Rodney G. Downey, Denis R. Hirschfeldt

Algorithmic Randomness and Complexity

1st Edition., 2010, XXVIII, 855 p. 8 illus.
Hardcover, ISBN 978-0-387-95567-4

This is the first comprehensive treatment of this important field, designed to be both a reference tool for experts and a guide for newcomers. It surveys a broad section of work in the area, and presents most of its major results and techniques in depth. It will be of interest to researchers and students in computability theory, algorithmic information theory, and theoretical computer science.

This book has received the Shoenfield Prize 2016, which is awarded by the Association for Symbolic Logic for outstanding expository writing in the field of logic.

© 2009- Association Computability in Europe (maintained by Vasco Brattka)