The density and complexity of polynomial cores for intractable sets
Information and Control
Average case complete problems
SIAM Journal on Computing
On helping by robust oracle machines
Theoretical Computer Science
Average case complexity under the universal distribution equals worst-case complexity
Information Processing Letters
On Reducibility to Complex or Sparse Sets
Journal of the ACM (JACM)
Characterizations of Logarithmic Advice Complexity Classes
Proceedings of the IFIP 12th World Computer Congress on Algorithms, Software, Architecture - Information Processing '92, Volume 1 - Volume I
The Structure of Polynomial Complexity Cores (Extended Abstract)
Proceedings of the Mathematical Foundations of Computer Science 1984
Some connections between nonuniform and uniform complexity classes
STOC '80 Proceedings of the twelfth annual ACM symposium on Theory of computing
Computational depth: concept and applications
Theoretical Computer Science - Foundations of computation theory (FCT 2003)
Low-Depth Witnesses are Easy to Find
CCC '07 Proceedings of the Twenty-Second Annual IEEE Conference on Computational Complexity
The complexity and distribution of hard problems
SFCS '93 Proceedings of the 1993 IEEE 34th Annual Foundations of Computer Science
An Introduction to Kolmogorov Complexity and Its Applications
An Introduction to Kolmogorov Complexity and Its Applications
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We study the relationship between complexity cores of a language and the descriptional complexity of the characteristic sequence of the language based on Kolmogorov complexity. We prove that a recursive set A has a complexity core if for all constants c, the computational depth (the difference between time-bounded and unbounded Kolmogorov complexities) of the characteristic sequence of A up to length n is larger than c infinitely often. We also show that if a language has a complexity core of exponential density, then it cannot be accepted in average polynomial time, when the strings are distributed according to a time bounded version of the universal distribution.