57,152 research outputs found
Nielsen Identity and the Renormalization Group Functions in an Abelian Supersymmetric Chern-Simons Model in the Superfield Formalism
In this paper we study the Nielsen identity for the supersymmetric
Chern-Simons-matter model in the superfield formalism, in three spacetime
dimensions. The Nielsen identity is essential to understand the gauge
invariance of the symmetry breaking mechanism, and it is calculated by using
the BRST invariance of the model. We discuss the technical difficulties in
applying this identity to the complete effective superpotential, but we show
how we can study in detail the gauge independence of one part of the effective
superpotential, . We calculate the renormalization group functions of
the model for arbitrary gauge-fixing parameter, finding them to be independent
of the gauge choice. This result can be used to argue that also does
not depend on the gauge parameter. We discuss the possibility of the extension
of these results to the complete effective superpotential.Comment: v2: 23 pages, 4 figures, version accepted for publication in PR
Regularity of quasi-stationary measures for simple exclusion in dimension d >= 5
We consider the symmetric simple exclusion process on Z^d, for d>= 5, and
study the regularity of the quasi-stationary measures of the dynamics
conditionned on not occupying the origin. For each \rho\in ]0,1[, we establish
uniqueness of the density of quasi-stationary measures in L^2(d\nur), where
\nur is the stationary measure of density \rho. This, in turn, permits us to
obtain sharp estimates for P_{\nur}(\tau>t), where \tau is the first time the
origin is occupied.Comment: 18 pages. Corrections after referee report. To be published in Ann
Proba
Anisotropic KPZ growth in 2+1 dimensions: fluctuations and covariance structure
In [arXiv:0804.3035] we studied an interacting particle system which can be
also interpreted as a stochastic growth model. This model belongs to the
anisotropic KPZ class in 2+1 dimensions. In this paper we present the results
that are relevant from the perspective of stochastic growth models, in
particular: (a) the surface fluctuations are asymptotically Gaussian on a
sqrt(ln(t)) scale and (b) the correlation structure of the surface is
asymptotically given by the massless field.Comment: 13 pages, 4 figure
Hitting times for independent random walks on
We consider a system of asymmetric independent random walks on
, denoted by , stationary under the
product Poisson measure of marginal density . We fix a
pattern , an increasing local event, and denote by the
hitting time of . By using a loss network representation of our
system, at small density, we obtain a coupling between the laws of
conditioned on for all times . When , this provides
bounds on the rate of convergence of the law of conditioned on
toward its limiting probability measure as tends to infinity.
We also treat the case where the initial measure is close to
without being product.Comment: Published at http://dx.doi.org/10.1214/009117906000000106 in the
Annals of Probability (http://www.imstat.org/aop/) by the Institute of
Mathematical Statistics (http://www.imstat.org
Poisson approximation for large-contours in low-temperature Ising models
We consider the contour representation of the infinite volume Ising model at
low temperature. Fix a subset V of Z^d, and a (large) N such that calling
G_{N,V} the set of contours of length at least N intersecting V, there are in
average one contour in G_{N,V} under the infinite volume "plus" measure. We
find bounds on the total variation distance between the law of the contours of
lenght at least N intersecting V under the "plus" measure and a Poisson
process. The proof builds on the Chen-Stein method as presented by Arratia,
Goldstein and Gordon. The control of the correlations is obtained through the
loss-network space-time representation of contours due to Fernandez, Ferrari
and Garcia.Comment: 10 pages, to appear in Physica
Raman Fingerprint of Charged Impurities in Graphene
We report strong variations in the Raman spectra for different single-layer
graphene samples obtained by micromechanical cleavage, which reveals the
presence of excess charges, even in the absence of intentional doping. Doping
concentrations up to ~10^13 cm-2 are estimated from the G peak shift and width,
and the variation of both position and relative intensity of the second order
2D peak. Asymmetric G peaks indicate charge inhomogeneity on the scale of less
than 1 micron.Comment: 3 pages, 5 figure
Dynamical and radiative properties of astrophysical supersonic jets I. Cocoon morphologies
We present the results of a numerical analysis of the propagation and
interaction of a supersonic jet with the external medium. We discuss the motion
of the head of the jet into the ambient in different physical conditions,
carrying out calculations with different Mach numbers and density ratios of the
jet to the exteriors. Performing the calculation in a reference frame in motion
with the jet head, we can follow in detail its long term dynamics. This
numerical scheme allows us also to study the morphology of the cocoon for
different physical parameters. We find that the propagation velocity of the jet
head into the ambient medium strongly influences the morphology of the cocoon,
and this result can be relevant in connection to the origin and structure of
lobes in extragalactic radiosources.Comment: 14 pages, TeX. Accepted for A&
How to squeeze the toothpaste back into the tube
We consider "bridges" for the simple exclusion process on Z, either symmetric
or asymmetric, in which particles jump to the right at rate p and to the left
at rate 1-p. The initial state O has all negative sites occupied and all
non-negative sites empty. We study the probability that the process is again in
state O at time t, and the behaviour of the process on [0,t] conditioned on
being in state O at time t. In the case p=1/2, we find that such a bridge
typically goes a distance of order t (in the sense of graph distance) from the
initial state. For the asymmetric systems, we note an interesting duality which
shows that bridges with parameters p and 1-p have the same distribution; the
maximal distance of the process from the original state behaves like c(p)log(t)
for some constant c(p) depending on p. (For p>1/2, the front particle therefore
travels much less far than the bridge of the corresponding random walk, even
though in the unconditioned process the path of the front particle dominates a
random walk.) We mention various further questions.Comment: 15 page
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