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Harmonic spectral components in time sequences of Markov correlated events
Author(s) -
Piero Mazzetti,
A. Carbone
Publication year - 2017
Publication title -
aip advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 58
ISSN - 2158-3226
DOI - 10.1063/1.4994039
Subject(s) - markov chain , mathematics , matrix (chemical analysis) , markov process , markov model , line (geometry) , hidden markov model , spectral density , fourier transform , continuous time markov chain , real line , sequence (biology) , spectral line , statistical physics , mathematical analysis , computer science , balance equation , physics , speech recognition , statistics , quantum mechanics , geometry , materials science , biology , composite material , genetics
The paper concerns the analysis of the conditions allowing time sequences of Markov correlated events give rise to a line power spectrum having a relevant physical interest. It is found that by specializing the Markov matrix in order to represent closed loop sequences of events with arbitrary distribution, generated in a steady physical condition, a large set of line spectra, covering all possible frequency values, is obtained. The amplitude of the spectral lines is given by a matrix equation based on a generalized Markov matrix involving the Fourier transform of the distribution functions representing the time intervals between successive events of the sequence. The paper is a complement of a previous work where a general expression for the continuous power spectrum was given. In that case the Markov matrix was left in a more general form, thus preventing the possibility of finding line spectra of physical interest. The present extension is also suggested by the interest of explaining the emergence of a ...

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