Symbolic sequences and Tsallis entropy
We address this work to investigate symbolic sequences with long-range correlations by using computational simulation. We analyze sequences with two, three and four symbols that could be repeated l times, with the probability distribution p(l) ∝ 1/l µ. For these sequences, we verified that the usual entropy increases more slowly when the symbols are correlated and the Tsallis entropy exhibits, for a suitable choice of q, a linear behavior. We also study the chain as a random walk-like process and observe a nonusual diffusive behavior depending on the values of the parameter µ.
Main Authors: | , , , , |
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Format: | Digital revista |
Language: | English |
Published: |
Sociedade Brasileira de Física
2009
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Online Access: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-97332009000400018 |
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