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Forcing with Random Variables and Proof Complexity / Jan Krajíček
(London Mathematical Society Lecture Note Series ; 382)

Publisher Cambridge : Cambridge University Press
Year 2010
Size 1 online resource (264 pages) : digital, PDF file(s)
Authors *Krajíček, Jan author
Subjects LCSH:Computational complexity
LCSH:Random variables
LCSH:Mathematical analysis
Notes Title from publisher's bibliographic system (viewed on 11 Nov 2016)
This book introduces a new approach to building models of bounded arithmetic, with techniques drawn from recent results in computational complexity. Propositional proof systems and bounded arithmetics are closely related. In particular, proving lower bounds on the lengths of proofs in propositional proof systems is equivalent to constructing certain extensions of models of bounded arithmetic. This offers a clean and coherent framework for thinking about lower bounds for proof lengths, and it has proved quite successful in the past. This book outlines a brand new method for constructing models of bounded arithmetic, thus for proving independence results and establishing lower bounds for proof lengths. The models are built from random variables defined on a sample space which is a non-standard finite set and sampled by functions of some restricted computational complexity. It will appeal to anyone interested in logical approaches to fundamental problems in complexity theory
HTTP:URL=http://dx.doi.org/10.1017/CBO9781139107211
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Cambridge Books Online 9781139107211
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EB00089698

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Material Type E-Book
Other titles other title:Forcing with Random Variables & Proof Complexity
Classification LCC:QA267.7
DC22:511.3/6
ID 4000030971
ISBN 9781139107211

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