机构:
Univ Fed Rio Grande do Norte, Dept Fis, BR-59072970 Natal, RN, Brazil
Univ Fed Rio Grande do Norte, Natl Inst Sci & Technol Complex Syst, BR-59072970 Natal, RN, BrazilUniv Estadual Maringa, Dept Fis, BR-87020900 Maringa, Parana, Brazil
Mendes, G. A.
[3
,4
]
da Silva, L. R.
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机构:
Univ Fed Rio Grande do Norte, Dept Fis, BR-59072970 Natal, RN, Brazil
Univ Fed Rio Grande do Norte, Natl Inst Sci & Technol Complex Syst, BR-59072970 Natal, RN, BrazilUniv Estadual Maringa, Dept Fis, BR-87020900 Maringa, Parana, Brazil
da Silva, L. R.
[3
,4
]
机构:
[1] Univ Estadual Maringa, Dept Fis, BR-87020900 Maringa, Parana, Brazil
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) proportional to 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.
机构:
Chongqing Univ Posts & Telecommun, Chongqing 400065, Peoples R China
Natl Tech Univ Athens, Dept Phys, Zografou Campus, GR-15773 Athens, Greece
Eurasian Natl Univ, Eurasian Int Ctr Theoret Phys, Astana 010008, KazakhstanChongqing Univ Posts & Telecommun, Chongqing 400065, Peoples R China
Saridakis, Emmanuel N.
Bamba, Kazuharu
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机构:
Fukushima Univ, Fac Symbiot Syst Sci, Div Human Support Syst, Fukushima 9601296, JapanChongqing Univ Posts & Telecommun, Chongqing 400065, Peoples R China
Bamba, Kazuharu
Myrzakulov, R.
论文数: 0引用数: 0
h-index: 0
机构:
Eurasian Natl Univ, Eurasian Int Ctr Theoret Phys, Astana 010008, KazakhstanChongqing Univ Posts & Telecommun, Chongqing 400065, Peoples R China