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Relative Kolmogorov complexity and geometry

Published online by Cambridge University Press:  12 March 2014

Stephen Binns
Stephen Binns*
Affiliation:
Department of Mathematics and Statistics, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia, E-mail: binns@kfupm.edu.sa
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Abstract

We use the notions of effective dimension and Kolmogorov complexity to describe a geometry on the set of infinite binary sequences. Geometric concepts that we define and use include angle, projections and scalar multiplication. A question related to compressibility is addressed using these ideas.

Type
Research Article
Information
The Journal of Symbolic Logic , Volume 76 , Issue 4 , December 2011 , pp. 1211 - 1239
Copyright
Copyright © Association for Symbolic Logic 2011

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References

REFERENCES

[1]Downey, Rod and Greenberg, Noam, Turing degrees of reals of positive effective packing dimension, Information Processing Letters, vol. 108 (2008), pp. 198–203.CrossRefGoogle Scholar
[2]Downey, Rodney G and Hirschfeldt, Denis R, Algorithmic randomness and complexity, Springer, 2010.CrossRefGoogle Scholar
[3]Hitchcock, John M. and Athreya, Krishna B., Effective strong dimension, algorithmic information and computational complexity, SIAM Journal on Computing, vol. 37 (2007), no. 3, pp. 671–705.Google Scholar
[4]Lutz, Jack H., Gales and the constructive dimension of individual sequences, In Welzl, et al. [10], pp. 902–913.CrossRefGoogle Scholar
[5]Lutz, Jack H., The dimensions of individual strings and sequences, Information and Computation, vol. 187 (2003), pp. 49–79.CrossRefGoogle Scholar
[6]Lutz, Jack H., Effective fractal dimensions, Mathematical Logic Quarterly, vol. 51 (2005), pp. 62–72.CrossRefGoogle Scholar
[7]Mayordomo, Elvira, A Kolmogorov complexity characterization of constructive Hausdorff dimension, Information Processing Letters, vol. 84 (2002), no. 1, pp. 1–3.CrossRefGoogle Scholar
[8]Nies, André, Computability and randomness, Oxford University Press, 2009.CrossRefGoogle Scholar
[9]Reimann, Jan, Computability and fractal dimension, Ph.D. thesis, Ruprecht-Karls-Universität, Heidelberg, 2004.Google Scholar
[10]Welzl, E., Montanari, U., and Rolim, J. D. P. (editors), Proceedings of the 27th International Colloquium on Automata, Languages, and Programming, Lecture Notes in Computer Science, 1853, Springer, 2000.Google Scholar