Work

Long-range Correlations in a Data Sequence Extracted Via Polymeric Compaction

Year: 2019
Type: preprint
Abstract: A numerical method is proposed to remove the quenched randomness from a data sequence of numbers. A polymer chain of beads is introduced with both a hard core interaction and an appropriate energy associated with the data sequence. The quenched randomness is hypothesized to collapse the chain to a spherical globule. Long-range informational correlations then show up in deviations from the spherical shape. The resulting coefficients within an expansion in terms of spherical harmonics go beyond the usual concept of algorithmic information or Kolmogorov complexity.
Author: Odijk, Theo
Institution: Leiden University
Language: English
Open Access status: green
OpenAlex ID: W2937429992
Cites: 1
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Related to: 20