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Dive into the research topics where A.M. Kowalski is active.

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Featured researches published by A.M. Kowalski.


Entropy | 2011

Distances in Probability Space and the Statistical Complexity Setup

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

ENTROPIC NON-TRIVIALITY, THE CLASSICAL LIMIT AND GEOMETRY-DYNAMICS CORRELATIONS

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

On extracting probability distribution information from time series

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

Tsallis’ deformation parameter q quantifies the classical–quantum transition

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

Generalized Complexity and Classical-Quantum Transition

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

Information theory and chaotic motion

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

Relative Entropies and Jensen Divergences in the Classical Limit

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

Kullback-Leibler Approach to Chaotic Time Series

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

Dissipative behaviour and the interface between quantum and classical dynamical systems

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

Bandt–Pompe approach to the classical-quantum transition

A.M. Kowalski; M.T. Martín; Angelo Plastino; Osvaldo A. Rosso

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M.T. Martín

National University of La Plata

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Osvaldo A. Rosso

Hospital Italiano de Buenos Aires

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A. Plastino

National University of La Plata

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A. Plastino

National University of La Plata

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Luciano Zunino

National Scientific and Technical Research Council

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A. Plastino

National University of La Plata

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Angelo Plastino

National University of La Plata

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Araceli N. Proto

University of Buenos Aires

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M.T. Martin

National Research Council

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M. Casas

Spanish National Research Council

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