Proof Complexity Generators

Author:   Jan Krajíček (Charles University, Prague)
Publisher:   Cambridge University Press
ISBN:  

9781009611701


Pages:   134
Publication Date:   26 June 2025
Format:   Paperback
Availability:   Not yet available   Availability explained
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Proof Complexity Generators


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Overview

The P vs. NP problem is one of the fundamental problems of mathematics. It asks whether propositional tautologies can be recognized by a polynomial-time algorithm. The problem would be solved in the negative if one could show that there are propositional tautologies that are very hard to prove, no matter how powerful the proof system you use. This is the foundational problem (the NP vs. coNP problem) of proof complexity, an area linking mathematical logic and computational complexity theory. Written by a leading expert in the field, this book presents a theory for constructing such hard tautologies. It introduces the theory step by step, starting with the historic background and a motivational problem in bounded arithmetic, before taking the reader on a tour of various vistas of the field. Finally, it formulates several research problems to highlight new avenues of research.

Full Product Details

Author:   Jan Krajíček (Charles University, Prague)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
Dimensions:   Width: 15.20cm , Height: 0.80cm , Length: 22.80cm
Weight:   0.210kg
ISBN:  

9781009611701


ISBN 10:   1009611704
Pages:   134
Publication Date:   26 June 2025
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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Jan Krajíček is Professor of Mathematical Logic at Charles University, Prague. A member of the Learned Society of the Czech Republic and the Academia Europaea, he has previously published three books with Cambridge University Press (1995, 2011 and 2019).

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