Uniform Proof Complexity
Stephen Cook University of Toronto
Friday, September 29, 2006 10:00 a.m. in 2310 CS
(refreshments at 9:30)
Abstract: Uniform proof complexity (aka bounded arithmetic) studies the
computational
complexity of concepts needed to prove theorems. For example the
pigeonhole principle cannot be proved in a system restricted to
AC0 reasoning, intuitively because the complexity class AC0
cannot count. Also no polynomial time algorithm for
recognizing primes can be proved correct in a system restricted to
polynomial time reasoning, unless integers can be factored in polynomial
time.
We give a high-level introduction to uniform proof complexity, and
draw interesting consequences (joint work with Jan Krajicek) from the
assumption that a polytime theory can prove that NP has polynomial
size Boolean circuits.
Speaker's Bio:
Stephen Cook was born in Buffalo, New York, received his BSc degree from
University of Michigan in 1961, and his S.M. and PhD degrees from Harvard
University in 1962 and 1966 respectively. From 1966 to 1970 he was Assistant
Professor, University of California, Berkeley. He joined the faculty at the
University of Toronto in 1970 as an Associate Professor, and was promoted to
Professor in 1975 and University Professor in 1985. His principal research
areas are computational complexity and proof complexity, with excursions
into programming language semantics and parallel computation.
He is the author of over 60 research papers, including his famous 1971 paper
"The Complexity of Theorem Proving Procedures" which introduced the theory of
NP completeness and proved that the Boolean satisfiability problem is NP
complete. He is the 1982 recipient of the Turing award, and was awarded a
Steacie Fellowship in 1977, a Killam Research Fellowship in 1982, and received
the CRM/Fields Institute Prize in 1999. He received Computer Science teaching
awards in 1989 and 1995. He is a fellow of the Royal Society of London,
Royal Society of Canada, and was elected to membership in the National
Academy of Sciences (United States) and the American Academy of Arts and
Sciences. Twenty-six students have completed their PhD degrees under his
supervision, and many of them now have prominent academic careers of their
own.
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