Universidade Federal de Pernambuco

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19942026

most citedOptimal Dynamical Range of Excitable Networks at Criticality

840 citations

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Showing 2011Show all

23 papers · 1 filter

math.AC2011

Syzygies of differentials of forms

Isabel Bermejo, Philippe Gimenez, Aron Simis

Given a standard graded polynomial ring $R = k [x_{1}, ..., x_{n}]$ over a field $k$ of characteristic zero and a graded $k$ -subalgebra $A = k [f_{1}, ..., f_{m}] \subset R$ , one relates the module $…

quant-ph2011★ 35 cited

Spin quantum correlations of relativistic particles

Pablo L. Saldanha, Vlatko Vedral

We show that a pair of massive relativistic spin-1/2 particles prepared in a maximally entangled spin state in general is not capable of maximally violating the Clauser-Horne-Shimo…

math.AP2011

High frequency resolvent estimates for perturbations by large long-range magnetic potentials and applications to dispersive estimates

Fernando Cardoso, Claudio Cuevas, Georgi Vodev

We prove optimal high-frequency resolvent estimates for perturbations of the Laplacian by large long-range magnetic and electric potentials in all dimensions $n \geq 3$ . As an applic…

cond-mat.stat-mech2011★ 7 cited

Susceptibility amplitude ratio for generic competing systems

C. F. Farias, Marcelo M. Leite

We calculate the susceptibility amplitude ratio near a generic higher character Lifshitz point up to one-loop order. We employ a renormalization group treatment with $L$ independen…

quant-ph2011★ 52 cited

Physical interpretation of the Wigner rotations and its implications for relativistic quantum information

Pablo L. Saldanha, Vlatko Vedral

We present a new treatment for the spin of a massive relativistic particle in the context of quantum information based on a physical interpretation of the Wigner rotations, obtaini…

math.ST2011★ 57 cited

Dynamic Clustering of Histogram Data Based on Adaptive Squared Wasserstein Distances

Antonio Irpino, Rosanna Verde, Francisco de AT De Carvalho

This paper deals with clustering methods based on adaptive distances for histogram data using a dynamic clustering algorithm. Histogram data describes individuals in terms of empir…