Dimension is compression (2005)
| Venue: | In Proceedings of the 30th International Symposium on Mathematical Foundations of Computer Science |
| Citations: | 14 - 8 self |
BibTeX
@INPROCEEDINGS{López-valdés05dimensionis,
author = {María López-valdés and Elvira Mayordomo},
title = {Dimension is compression},
booktitle = {In Proceedings of the 30th International Symposium on Mathematical Foundations of Computer Science},
year = {2005},
pages = {676--685},
publisher = {Springer-Verlag}
}
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Abstract
Abstract. Effective fractal dimension was defined by Lutz (2003) in order to quantitatively analyze the structure of complexity classes. Interesting connections of effective dimension with information theory were also found, in fact the cases of polynomial-space and constructive dimension can be precisely characterized in terms of Kolmogorov complexity, while analogous results for polynomial-time dimension haven’t been found. In this paper we remedy the situation by using the natural concept of reversible time-bounded compression for finite strings. We completely characterize polynomial-time dimension in terms of polynomial-time compressors. 1
