Physics – Data Analysis – Statistics and Probability
Scientific paper
2010-01-16
Physics
Data Analysis, Statistics and Probability
Published in the Brazilian Journal of Physics
Scientific paper
10.1590/S0103-97332009000400018
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 $p(l)\propto 1/ l^{\mu}$. 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 $\mu$.
da Silva Robert L.
Lenzi Ervin Kaminski
Mendes G. A.
Mendes Renio S.
Ribeiro H. V.
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