We show that extremely simple systems of a not too large number of particles can be simultaneously thermally stable and complex. To such an end, we extend the statistical complexity's notion to simple configuratio...
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We show that extremely simple systems of a not too large number of particles can be simultaneously thermally stable and complex. To such an end, we extend the statistical complexity's notion to simple configurations of non-interacting particles, without appeal to probabilities, and discuss configurational properties. (C) 2018 Elsevier B.V. All rights reserved.
The classical limit of quantum mechanics (CLQM) is a fascinating subject of perennial interest. Here we deal with it in a novel way for two of the simplest conceivable systems: the classical ideal gas (IG) and the Ein...
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The classical limit of quantum mechanics (CLQM) is a fascinating subject of perennial interest. Here we deal with it in a novel way for two of the simplest conceivable systems: the classical ideal gas (IG) and the Einstein crystal (EC). Even if at first sight one may not believe that something new could be said about them, it will be seen that some statistical quantifiers do. In particular, the statistical complexity C, seems to signal the CLQM's zone. The associated two C-maxima (versus temperature), for, respectively, the IG and the CG, almost coincide. (C) 2018 Published by Elsevier B.V.
We point out and correct the erroneous numerical results calculated by H.E. Montgomery Jr. and K.D. Sen concerning the statistical complexity and the Fisher-Shannon information measure for the ground state H-2(+) mole...
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We point out and correct the erroneous numerical results calculated by H.E. Montgomery Jr. and K.D. Sen concerning the statistical complexity and the Fisher-Shannon information measure for the ground state H-2(+) molecule ion as a function of internuclear distance in momentum space and as a product in position and momentum spaces. In addition we have shown that Coulson-type wave function approximation used by authors leads to notable (up to almost 20%) discrepancies between such approximated results and exact ones. (C) 2017 Elsevier B.V. All rights reserved.
We investigate the notion of LMC statistical complexity with regards to a real gas and in terms of the second virial coefficient. The ensuing results are applied to the van der Waals equation. Interestingly enough, on...
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We investigate the notion of LMC statistical complexity with regards to a real gas and in terms of the second virial coefficient. The ensuing results are applied to the van der Waals equation. Interestingly enough, one finds a complexity-interpretation for the associated phase transition. (C) 2016 Elsevier B.V. All rights reserved.
Permutation entropy and statistical complexity are measures for complex time series. The BandtPompe methodology evaluates probability distribution using permutation. The method is robust and effective to quantify info...
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Permutation entropy and statistical complexity are measures for complex time series. The BandtPompe methodology evaluates probability distribution using permutation. The method is robust and effective to quantify information of time series data. statistical complexity is the product of Jensen-Shannon divergence and permutation entropy. These physical parameters are introduced to analyse time series of emission and magnetic fluctuations in low-aspect-ratio reversed-field pinch (RFP) plasma. The observed time-series data aggregates in a region of the plane, the socalled C-H plane, determined by entropy versus complexity. The C-H plane is a representation space used for distinguishing periodic, chaos, stochastic and noisy processes of time series data. The characteristics of the emissions and magnetic fluctuation change under different RFP-plasma conditions. The statistical complexities of soft x-ray emissions and magnetic fluctuations depend on the relationships between reversal and pinch parameters.
In this paper we investigated the influence of the construction of Sobradinho dam on daily streamflow of Sao Francisco river, Brazil, using permutation entropy method. We analyzed a long daily streamflow time series r...
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In this paper we investigated the influence of the construction of Sobradinho dam on daily streamflow of Sao Francisco river, Brazil, using permutation entropy method. We analyzed a long daily streamflow time series recorded during the period 1929-2010 encompassing the construction of Sobradinho dam between 1973 and 1979. We found that the original and deseasonalized streamflow time series are characterized by clear different complexity and entropy patterns before the construction of the dam;while, after it, their degree of randomness and complexity are nearly identical. Furthermore, investigating the oscillatory behavior of the entropy and complexity time variation, the periodicity of 3.67 years was identified, identical to one of the main periodicities revealed in the Multivariate ENSO Index (MEI). Such finding confirms the close relationship between streamflow dynamics and ENSO phenomenon. After the construction of the dam, the time variation of entropy and complexity changes almost abruptly toward stochastic regime characterized by higher entropy and lower complexity. Although the dam operations could be considered responsible for such abrupt dynamical change in the streamflow, we cannot exclude the presence of a co-induced ENSO effect;in fact, the analysis of MEI shows a strikingly similar and concomitant change in the long-term trend, identified by using the singular spectrum analysis. (C) 2016 Elsevier B.V. All rights reserved.
We introduce and discuss the notion of monotonicity for the complexity measures of general probability distributions, patterned after the resource theory of quantum entanglement. Then, we explore whether this property...
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We introduce and discuss the notion of monotonicity for the complexity measures of general probability distributions, patterned after the resource theory of quantum entanglement. Then, we explore whether this property is satisfied by the three main intrinsic measures of complexity (Cramer-Rao, Fisher-Shannon, LMC) and some of their generalizations. (C) 2015 Elsevier B.V. All rights reserved.
In this study, we investigate the subtle temporal dynamics of California 1999-2000 spot price series based on permutation min-entropy (PME) and complexity-entropy causality plane. The dynamical transitions of price se...
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In this study, we investigate the subtle temporal dynamics of California 1999-2000 spot price series based on permutation min-entropy (PME) and complexity-entropy causality plane. The dynamical transitions of price series are captured and the temporal correlations of price series are also discriminated by the recently introduced PME. Moreover, utilizing the CECP, we provide a refined classification of the monthly price dynamics and obtain an insight into the stochastic nature of price series. The results uncover that the spot price signal presents diverse temporal correlations and exhibits a higher stochastic behavior during the periods of crisis.
We propose a new statistical complexity Measure (SCM) to qualify edge maps without Ground (GT) knowledge. The measure is the product of two indices, an Equilibrium index E obtained by the edge map into a family of edg...
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We propose a new statistical complexity Measure (SCM) to qualify edge maps without Ground (GT) knowledge. The measure is the product of two indices, an Equilibrium index E obtained by the edge map into a family of edge patterns, and an Entropy index H, defined as a function Kolmogorov-Smirnov (KS) statistic. This new measure can be used for performance characterization which includes: (i) the evaluation of an algorithm (intra-technique process) in order to identify its best parameters the comparison of different algorithms (inter-technique process) in order to classify them their quality. Results made over images of the South Florida and Berkeley databases show that our approach icantly improves over Pratt's Figure of Merit (PFoM) which is the objective reference-based edge evaluation standard, as it takes into account more features in its evaluation. (C) 2014 Elsevier Inc. All rights
We propose an analytical representation of complexity diagrams based on information about the number of discretes in the signal spectrum and the signal-to-noise ratio. This approach provides additional criteria for so...
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We propose an analytical representation of complexity diagrams based on information about the number of discretes in the signal spectrum and the signal-to-noise ratio. This approach provides additional criteria for solving the classification problem. We formulate and prove lemmas on the construction of analytical metric grids for complexity diagrams. The obtained results are verified by numerical experiments, which have confirmed the efficiency of these methods.
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