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Randomized Communication Complexity of Approximating Kolmogorov Complexity

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8476))

Abstract

The paper [Harry Buhrman, Michal Koucký, Nikolay Vereshchagin. Randomized Individual Communication Complexity. IEEE Conference on Computational Complexity 2008: 321-331] considered communication complexity of the following problem. Alice has a binary string x and Bob a binary string y, both of length n, and they want to compute or approximate Kolmogorov complexity C(x|y) of x conditional to y. It is easy to show that deterministic communication complexity of approximating C(x|y) with additive error α is at least n − 2α − O(1). The above referenced paper asks what is randomized communication complexity of this problem and shows that for r-round randomized protocols its communication complexity is at least Ω((n/α)1/r). In this paper, for some positive ε, we show the lower bound 0.99n for (worst case) communication length of any randomized protocol that with probability at least 0.01 approximates C(x|y) with additive error εn for all input pairs.

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References

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Vereshchagin, N. (2014). Randomized Communication Complexity of Approximating Kolmogorov Complexity. In: Hirsch, E.A., Kuznetsov, S.O., Pin, JÉ., Vereshchagin, N.K. (eds) Computer Science - Theory and Applications. CSR 2014. Lecture Notes in Computer Science, vol 8476. Springer, Cham. https://doi.org/10.1007/978-3-319-06686-8_28

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  • DOI: https://doi.org/10.1007/978-3-319-06686-8_28

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06685-1

  • Online ISBN: 978-3-319-06686-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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