Structure of trajectories of complex matrix eigenvalues in the Hermitian-non-Hermitian transition

The statistical properties of trajectories of eigenvalues of Gaussian complex matrices whose Hermitian condition is progressively broken are investigated. It is shown how the ordering on the real axis of the real eigenvalues is reflected in the structure of the trajectories and also in the final distribution of the eigenvalues in the complex plane.Comment: 12 pages, 3 figure

Optimal network topologies for information transmission in active networks

This work clarifies the relation between network circuit (topology) and behavior (information transmission and synchronization) in active networks, e.g. neural networks. As an application, we show how to determine a network topology that is optimal for information transmission. By optimal, we mean that the network is able to transmit a large amount of information, it possesses a large number of communication channels, and it is robust under large variations of the network coupling configuration. This theoretical approach is general and does not depend on the particular dynamic of the elements forming the network, since the network topology can be determined by finding a Laplacian matrix (the matrix that describes the connections and the coupling strengths among the elements) whose eigenvalues satisfy some special conditions. To illustrate our ideas and theoretical approaches, we use neural networks of electrically connected chaotic Hindmarsh-Rose neurons.Comment: 20 pages, 12 figure

Deformed Gaussian Orthogonal Ensemble description of Small-World networks

The study of spectral behavior of networks has gained enthusiasm over the last few years. In particular, Random Matrix Theory (RMT) concepts have proven to be useful. In discussing transition from regular behavior to fully chaotic behavior it has been found that an extrapolation formula of the Brody type can be used. In the present paper we analyze the regular to chaotic behavior of Small World (SW) networks using an extension of the Gaussian Orthogonal Ensemble. This RMT ensemble, coined the Deformed Gaussian Orthogonal Ensemble (DGOE), supplies a natural foundation of the Brody formula. SW networks follow GOE statistics till certain range of eigenvalues correlations depending upon the strength of random connections. We show that for these regimes of SW networks where spectral correlations do not follow GOE beyond certain range, DGOE statistics models the correlations very well. The analysis performed in this paper proves the utility of the DGOE in network physics, as much as it has been useful in other physical systems.Comment: Replaced with the revised version, accepted for publication in Phys. Rev.

Symmetry Breaking Study with Random Matrix Ensembles

A random matrix model to describe the coupling of $m$-fold symmetry is constructed. The particular threefold case is used to analyze data on eigenfrequencies of elastomechanical vibration of an anisotropic quartz block. It is suggested that such experimental/theoretical study may supply a powerful means to discern intrinsic symmetry of physical systems.Comment: 12 pages, 3 figures Contribution to the International Workshop on Nuclei and Mesoscopic Physics (WNM07), 20-22 October, Michigan Sate University, East Lansing, Michigan. To appear in a AIP Proceeding (Pawel Danielewicz, Editor

Level density for deformations of the Gaussian orthogonal ensemble

Formulas are derived for the average level density of deformed, or transition, Gaussian orthogonal random matrix ensembles. After some general considerations about Gaussian ensembles we derive formulas for the average level density for (i) the transition from the Gaussian orthogonal ensemble (GOE) to the Poisson ensemble and (ii) the transition from the GOE to $m$ GOEs.Comment: 7 pages revtex4, 5 eps figures, submitted to Phys. Rev.

Network Mutual Information and Synchronization under Time Transformations

We investigate the effect of general time transformations on the phase synchronization (PS) phenomenon and the mutual information rate (MIR) between pairs of nodes in dynamical networks. We demonstrate two important results concerning the invariance of both PS and the MIR. Under time transformations PS can neither be introduced nor destroyed and the MIR cannot be raised from zero. On the other hand, for proper time transformations the timing between the cycles of the coupled oscillators can be largely improved. Finally, we discuss the relevance of our findings for communication in dynamical networks.Comment: 15 p

Adaptabilidade e estabilidade de híbridos de milho no Nordeste Brasileiro no ano agricola de 2004.

Resumos

Earthworms, ants and other arthropods as soil health indicators in traditional and no-fire agro-ecosystems from Eastern brazilian Amazonia.

Deforestation of the Amazonian rainforest and conversion to agriculture with the use of fire creates a mosaic of occupied lands and secondary forests. Considering the fundamental role of soil macrofauna and the lack of information about its resilience to deforestation, this study characterized the earthworms, ants and other soil arthropod communities in secondary forests of 40 and 20 years of age and in cropping system and pastures prepared with slash-and-burn or chop-and-mulch in the Brazilian Eastern Amazonia. Soil macrofauna was sampled according to the TSBF (Tropical Soil Biological and Fertility) methodology. Four sub-indices and one "macrofauna soil health index" were calculated using five principal component analyses. The macrofauna index identified better soil health in chop-andmulch crops, followed by the 40 yr-old forest and the chop-and-mulch pasture. These results confirmed the fundamental role of old secondary forests for soil biodiversity conservation and the potential of the chop-and-mulch technique to mitigate the effects of land use changes