Complex evolution of a multi-particle system

This paper studies a discrete dynamical system of interacting particles that evolve by interacting among them. The computational model is an abstraction of the natural world, and real systems can range from the huge cosmological scale down to the scale of biological cell, or even molecules. Different conditions for the system evolution are tested. The emerging patterns are analysed by means of fractal dimension and entropy measures. It is observed that the population of particles evolves towards geometrical objects with a fractal nature. Moreover, the time signature of the entropy can be interpreted at the light of complex dynamical systems.

O conhecimento geométrico de futuros professores do ensino básico: Uma breve caracterização

Este texto tem por base uma investigação, ainda em curso, cujo principal objetivo é identificar e compreender quais as principais dificuldades de futuros professores de matemática do ensino básico, ao nível dos seus conhecimentos em Geometria, no contexto da unidade curricular de Geometria durante a sua licenciatura. Optou-se por uma abordagem qualitativa na modalidade de estudo de caso, sendo a recolha de dados feita através de observações, entrevistas, realização de um conjunto diversificado de tarefas, de um teste diagnóstico e outros documentos. A presente comunicação debruça-se no Teste efetuado aos futuros professores no início da unidade curricular. A análise preliminar dos dados aponta para um fraco desempenho dos futuros professores nas questões do Teste que abordam conhecimentos elementares de Geometria.

O que transforma o mundo é a necessidade e não a utopia". Estudos sobre utopia e ficção em José Saramago

Recensão crítica

Double power laws, fractals and self-similarity

Power law (PL) distributions have been largely reported in the modeling of distinct real phenomena and have been associated with fractal structures and self-similar systems. In this paper, we analyze real data that follows a PL and a double PL behavior and verify the relation between the PL coefficient and the capacity dimension of known fractals. It is to be proved a method that translates PLs coefficients into capacity dimension of fractals of any real data.

Double power laws, fractals and self-similarity

Power law (PL) distributions have been largely reported in the modeling of distinct real phenomena and have been associated with fractal structures and self-similar systems. In this paper, we analyze real data that follows a PL and a double PL behavior and verify the relation between the PL coefficient and the capacity dimension of known fractals. It is to be proved a method that translates PLs coefficients into capacity dimension of fractals of any real data.

Fractional Order Description of DNA

This study addresses the deoxyribonucleic acid (DNA) and proposes a procedure based on the association of statistics, information theory, signal processing, Fourier analysis and fractional calculus for describing fundamental characteristics of the DNA. In a first phase the 24 chromosomes of the Human are evaluated. In a second phase, 10 chromosomes for different species are also processed and the results compared. The results reveal invariance in the description and close resemblances with fractional Brownian motion.