Abstract
This talk centers around some audacious conjectures that attempt to forge firm links between computational complexity classes and the study of Kolmogorov complexity.
More specifically, let R denote the set of Kolmogorov-random strings. Let \(\mbox{\rm BPP}\) denote the class of problems that can be solved with negligible error by probabilistic polynomial-time computations, and let \(\mbox{\rm NEXP}\) denote the class of problems solvable in nondeterministic exponential time.
Conjecture 1. \(\mbox{\rm NEXP} = \mbox{\rm NP}^R\).
Conjecture 2. \(\mbox{\rm BPP}\) is the class of problems non-adaptively polynomial-time reducible to R.
These conjectures are not only audacious; they are obviously false! R is not a decidable set, and thus it is absurd to suggest that the class of problems reducible to it constitutes a complexity class.
The absurdity fades if, for example, we interpret “\(\mbox{\rm NP}^R\)” to be “the class of problems that are \(\mbox{\rm NP}\)-Turing reducible to R, no matter which universal machine we use in defining Kolmogorov complexity”. The lecture will survey the body of work (some of it quite recent) that suggests that, when interpreted properly, the conjectures may actually be true.
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References
Allender, E., Buhrman, H., Koucký, M.: What can be efficiently reduced to the Kolmogorov-random strings? Annals of Pure and Applied Logic 138, 2–19 (2006)
Allender, E., Buhrman, H., Koucký, M., van Melkebeek, D., Ronneburger, D.: Power from random strings. SIAM Journal on Computing 35, 1467–1493 (2006)
Allender, E., Davie, G., Friedman, L., Hopkins, S.B., Tzameret, I.: Kolmogorov complexity, circuits, and the strength of formal theories of arithmetic. Tech. Rep. TR12-028, Electronic Colloquium on Computational Complexity (submitted for publication, 2012)
Allender, E., Friedman, L., Gasarch, W.: Limits on the Computational Power of Random Strings. In: Aceto, L., Henzinger, M., Sgall, J. (eds.) ICALP 2011. LNCS, vol. 6755, pp. 293–304. Springer, Heidelberg (2011)
Arora, S., Barak, B.: Computational Complexity, a modern approach. Cambridge University Press (2009)
Buhrman, H., Fortnow, L., Koucký, M., Loff, B.: Derandomizing from random strings. In: 25th IEEE Conference on Computational Complexity (CCC), pp. 58–63. IEEE Computer Society Press (2010)
Buhrman, H., Loff, B.: Personal Communication (2012)
Downey, R., Hirschfeldt, D.: Algorithmic Randomness and Complexity. Springer (2010)
Li, M., Vitanyi, P.: Introduction to Kolmogorov Complexity and its Applications, 3rd edn. Springer (2008)
Martin, D.A.: Completeness, the recursion theorem and effectively simple sets. Proceedings of the American Mathematical Society 17, 838–842 (1966)
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Allender, E. (2012). Curiouser and Curiouser: The Link between Incompressibility and Complexity. In: Cooper, S.B., Dawar, A., Löwe, B. (eds) How the World Computes. CiE 2012. Lecture Notes in Computer Science, vol 7318. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30870-3_2
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DOI: https://doi.org/10.1007/978-3-642-30870-3_2
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