63,714 research outputs found
Via Hexagons to Squares in Ferrofluids: Experiments on Hysteretic Surface Transformations under Variation of the Normal Magnetic Field
We report on different surface patterns on magnetic liquids following the
Rosensweig instability. We compare the bifurcation from the flat surface to a
hexagonal array of spikes with the transition to squares at higher fields. From
a radioscopic mapping of the surface topography we extract amplitudes and
wavelengths. For the hexagon--square transition, which is complex because of
coexisting domains, we tailor a set of order parameters like peak--to--peak
distance, circularity, angular correlation function and pattern specific
amplitudes from Fourier space. These measures enable us to quantify the smooth
hysteretic transition. Voronoi diagrams indicate a pinning of the domains. Thus
the smoothness of the transition is roughness on a small scale.Comment: 17 pages, 14 figure
Optimal CDMA signatures: a finite-step approach
A description of optimal sequences for direct-sequence code division multiple access is a byproduct of recent characterizations of the sum capacity. The paper restates the sequence design problem as an inverse singular value problem and shows that it can be solved with finite-step algorithms from matrix analysis. Relevant algorithms are reviewed and a new one-sided construction is proposed that obtains the sequences directly instead of computing the Gram matrix of the optimal signatures
Finite-step algorithms for constructing optimal CDMA signature sequences
A description of optimal sequences for direct-spread code-division multiple access (DS-CDMA) is a byproduct of recent characterizations of the sum capacity. This paper restates the sequence design problem as an inverse singular value problem and shows that the problem can be solved with finite-step algorithms from matrix theory. It proposes a new one-sided algorithm that is numerically stable and faster than previous methods
Dual description of the superconducting phase transition
The dual approach to the Ginzburg-Landau theory of a
Bardeen-Cooper-Schrieffer superconductor is reviewed. The dual theory describes
a grand canonical ensemble of fluctuating closed magnetic vortices, of
arbitrary length and shape, which interact with a massive vector field
representing the local magnetic induction. When the critical temperature is
approached from below, the magnetic vortices proliferate. This is signaled by
the disorder field, which describes the loop gas, developing a non-zero
expectation value in the normal conducting phase. It thereby breaks a {\it
global} U(1) symmetry. The ensuing Goldstone field is the magnetic scalar
potential. The superconducting-to-normal phase transition is studied by
applying renormalization group theory to the dual formulation. In the regime of
a second-order transition, the critical exponents are given by those of a
superfluid with a reversed temperature axis.Comment: Latex + Postscript file
Translation-invariance of two-dimensional Gibbsian point processes
The conservation of translation as a symmetry in two-dimensional systems with
interaction is a classical subject of statistical mechanics. Here we establish
such a result for Gibbsian particle systems with two-body interaction, where
the interesting cases of singular, hard-core and discontinuous interaction are
included. We start with the special case of pure hard core repulsion in order
to show how to treat hard cores in general.Comment: 44 pages, 6 figure
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Genomics analysis on the responses of E. coli cells to varying environmental conditions
The natural living environments of E. coli cells are diverse, varying from
mammalian gastrointestinal tracts and soil. Each environment might require
distinct metabolic pathways and transporter systems, and long-term evolution
has established elaborate regulatory system for E. coli cells to quickly adapt to
the changing conditions. Sensing outside stresses and then adopting a different
phenotype enable them to take advantage of any possible nutrients and defend
against hostile environment. A lot of regulatory mechanisms have been identified
by genetic, biochemical and molecular biology methods, and our study aim to
build a systematic view on the response of the whole genome to four different
environmental conditions. We used statistical tests including Pearsonâs tests and
Spearmanâs tests and multiple testing adjustments to identify feature genes that
are induced or repressed significantly across treatment levels. The feature genes
identified were partially supported by previous literatures, and some of the novel
genes not found in any previous studies may infer a potential research blind spot.
Additionally, we compared the correlation tests to the implementation of machine
learning algorithms, and discussed the advantage and drawbacks of each
method.Statistic
Probability around the Quantum Gravity. Part 1: Pure Planar Gravity
In this paper we study stochastic dynamics which leaves quantum gravity
equilibrium distribution invariant. We start theoretical study of this dynamics
(earlier it was only used for Monte-Carlo simulation). Main new results concern
the existence and properties of local correlation functions in the
thermodynamic limit. The study of dynamics constitutes a third part of the
series of papers where more general class of processes were studied (but it is
self-contained), those processes have some universal significance in
probability and they cover most concrete processes, also they have many
examples in computer science and biology. At the same time the paper can serve
an introduction to quantum gravity for a probabilist: we give a rigorous
exposition of quantum gravity in the planar pure gravity case. Mostly we use
combinatorial techniques, instead of more popular in physics random matrix
models, the central point is the famous exponent.Comment: 40 pages, 11 figure
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