A.M. Kowalski
National University of La Plata
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Publication
Featured researches published by A.M. Kowalski.
Entropy | 2011
A.M. Kowalski; M.T. Martín; Angelo Plastino; Osvaldo A. Rosso; M. Casas
Statistical complexity measures (SCM) are the composition of two ingredients: (i) entropies and (ii) distances in probability-space. In consequence, SCMs provide a simultaneous quantification of the randomness and the correlational structures present in the system under study. We address in this review important topics underlying the SCM structure, viz., (a) a good choice of probability metric space and (b) how to assess the best distance-choice, which in this context is called a “disequilibrium” and is denoted with the letter Q. Q, indeed the crucial SCM ingredient, is cast in terms of an associated distance D. Since out input data consists of time-series, we also discuss the best way of extracting from the time series a probability distribution P. As an illustration, we show just how these issues affect the description of the classical limit of quantum mechanics.
International Journal of Modern Physics B | 2005
A.M. Kowalski; M.T. Martín; A. Plastino; Osvaldo A. Rosso
The quantum-classical limit together with the associated onset of chaos is employed here in order to illustrate the importance of a proper choice of distance in probability space if one wishes to describe dynamical properties from the information theory viewpoint.
Entropy | 2012
A.M. Kowalski; M.T. Martín; Angelo Plastino; George G. Judge
Time-series (TS) are employed in a variety of academic disciplines. In this paper we focus on extracting probability density functions (PDFs) from TS to gain an insight into the underlying dynamic processes. On discussing this “extraction” problem, we consider two popular approaches that we identify as histograms and Bandt–Pompe. We use an information-theoretic method to objectively compare the information content of the concomitant PDFs.
Physica A-statistical Mechanics and Its Applications | 2009
A.M. Kowalski; M.T. Martin; A. Plastino; Luciano Zunino
We investigate the classical limit of a type of semiclassical evolution, the pertinent system representing the interaction between matter and a given field. On using Tsallis q-entropy as a quantifier of the ensuing dynamics, we find that it not only appropriately describes the quantum–classical transition, but that the associated deformation-parameter q itself characterizes the different regimes involved in the process, detecting the most salient fine details of the changeover.
Entropy | 2009
A.M. Kowalski; A. Plastino; Montserrat Casas
We investigate the classical limit of the dynamics of a semiclassical system that represents the interaction between matter and a given field. On using as a quantifier the q- Complexity, we find that it describes appropriately the quantum-classical transition, detecting the most salient details of the changeover. Additionally theq-Complexity results a better quan- tifier of the problem than the q-entropy, in the sense that the q-range is enlarged, describing the q-Complexity, the most important characteristics of the transition for all q-value.
Physica A-statistical Mechanics and Its Applications | 2003
A.M. Kowalski; A. Plastino; Araceli N. Proto
We present a general method to study the dynamics of quantum-classical systems. The emergency of chaotic motion in the classical limit together with the transition between regimes are also described.
Advances in Statistics | 2015
A.M. Kowalski; A. Plastino
Metrics and distances in probability spaces have shown to be useful tools for physical purposes. Here we use this idea, with emphasis on Jensen Divergences and relative entropies, to investigate features of the road towards the classical limit. A well-known semiclassical model is used and recourse is made to numerical techniques, via the well-known Bandt and Pompe methodology, to extract probability distributions from the pertinent time-series associated with dynamical data.
SOP Transactions on Theoretical Physics | 2014
A. Plastino; A.M. Kowalski; M.T. Martín; George Judge
We focus discussion on extracting probability distribution functions (PDFs) from semi-chaotic time series (TS). We wish to ascertain what is the best extraction approach and to such an end we use an extremely well known semiclassical system in its classical limit [1, 2]. Since this systems possesses a very rich dynamics, it can safely be regarded as representative of many other physical scenarios. In discussing this “extraction” problem, we consider the two most natural approaches, namely, i) histograms and ii) the Bandt‐Pompe technique. We use the Kullback-Leibler relative entropy to compare the information content of the concomitant PDFs.
Chaos Solitons & Fractals | 1995
A.M. Kowalski; A. Plastino; A.N. Proto
Abstract We consider the interaction between a two level system and a classical harmonic oscillator. The dynamical evolution is described via a convenient generalization of Ehrenfests theorem, which leads to a set of Bloch-like equations. This model is able to mimic a dissipating temporal evolution, without violating any quantum rule.
Physica D: Nonlinear Phenomena | 2007
A.M. Kowalski; M.T. Martín; Angelo Plastino; Osvaldo A. Rosso