2012
DOI: 10.1103/physreve.85.016214
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Poincaré recurrences of DNA sequences

Abstract: We analyze the statistical properties of Poincaré recurrences of Homo sapiens, mammalian, and other DNA sequences taken from the Ensembl Genome data base with up to 15 billion base pairs. We show that the probability of Poincaré recurrences decays in an algebraic way with the Poincaré exponent β≈4 even if the oscillatory dependence is well pronounced. The correlations between recurrences decay with an exponent ν≈0.6 that leads to an anomalous superdiffusive walk. However, for Homo sapiens sequences, with the l… Show more

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Cited by 13 publications
(17 citation statements)
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“…[69] Onedimensional Hubbard model has been well understood by means of the Bethe ansatz [70][71][72] and conformal field theory. [73][74][75] The solutions established a novel concept of the Tomonaga-Luttinger liquid [76] which is described by the scalar bosons corresponding to charge and spin sectors, respectively. The correlated electrons in twoand three-dimensional space are still far from a complete understanding in spite of the success for the onedimensional Hubbard model.…”
Section: The Hubbard Hamiltonian Ismentioning
confidence: 99%
“…[69] Onedimensional Hubbard model has been well understood by means of the Bethe ansatz [70][71][72] and conformal field theory. [73][74][75] The solutions established a novel concept of the Tomonaga-Luttinger liquid [76] which is described by the scalar bosons corresponding to charge and spin sectors, respectively. The correlated electrons in twoand three-dimensional space are still far from a complete understanding in spite of the success for the onedimensional Hubbard model.…”
Section: The Hubbard Hamiltonian Ismentioning
confidence: 99%
“…3 the distribution Rω(t) of first return-time between two consecutive appearances of the oligonucleotide ω is studied in Refs. [32,33]. Rω(t) can be written as a sum of different P (X).…”
Section: Statistical Properties Of the Model And Predictionsmentioning
confidence: 99%
“…It was observed that the RTS is capable of describing the relevant aspects of the dynamics in complex systems. In this context, we mention that the RTS is able to describe universal algebraic decays in Hamiltonian systems [2][3][4], including random walk penetration of the Kolmogorov-Arnold-Moser (KAM) islands [5,6], biased random walk to escape from KAM island [7], DNA sequence [8], synchronization of oscillator [9], generalized bifurcation diagram of conservative systems [10], fine structure of resonance islands [11], transient chaos in systems with leaks [12], among others.…”
Section: Introductionmentioning
confidence: 99%
“…This mixing occurs via a spiralling motion (see [23] for more details). Figure 8 shows the RTS curves for the model (8). In our simulations we use fourth-order Runge-Kutta algorithm with fixed time-step ∆t = 0.01 for 10 6 recurrences.…”
Section: Rts In a Fluid Flow Modelmentioning
confidence: 99%