3,972 research outputs found
Topological singular set of vector-valued maps, I: application to manifold-constrained Sobolev and BV spaces
We introduce an operator on vector-valued maps which has the ability to capture the relevant topological information carried by .
In particular, this operator is defined on maps that take values in a closed submanifold of the Euclidean space , and coincides with the distributional Jacobian
in case is a sphere. More precisely, the range of is a set of maps whose values are flat chains with coefficients in a suitable normed abelian group. In this paper, we use to characterise strong limits of smooth, -valued maps with respect to Sobolev norms, extending a result by Pakzad and Rivière. We also discuss applications to the study of manifold-valued maps of bounded variation. In a companion paper, we will consider applications to the asymptotic behaviour of minimisers of Ginzburg-Landau type functionals, with -well potentials
Time-like lorentzian minimal submanifolds as singular limits of nonlinear wave equations
We consider the sharp interface limit of the semilinear wave
equation in , where takes values in , , and is a
double-well potential if and vanishes on the unit circle and is
positive elsewhere if . For fixed we find some special
solutions, constructed around minimal surfaces in . In the general
case, under some additional assumptions, we show that the solutions converge to
a Radon measure supported on a time-like -codimensional minimal submanifold
of the Minkowski space-time. This result holds also after the appearence of
singularities, and enforces the observation made by J. Neu that this semilinear
equation can be regarded as an approximation of the Born-Infeld equation
MHC class II transactivator CIITA inhibits Tax-2-mediated HTLV-2 LTR transactivation and viral replication by binding to and affecting Tax-2 intracellular localization
A variational scheme for hyperbolic obstacle problems
We consider an obstacle problem for (possibly non-local) wave equations, and we prove existence of weak solutions through a convex minimization approach based on a time discrete approximation scheme. We provide the corresponding numerical implementation and raise some open questions
Colourgrams GUI: A graphical user-friendly interface for the analysis of large datasets of RGB images
Colourgrams GUI is a graphical user-friendly interface developed in order to facilitate the analysis of large datasets of RGB images through the colourgrams approach. Briefly, the colourgrams approach consists in converting a dataset of RGB images into a matrix of one-dimensional signals, the colourgrams, each one codifying the colour content of the corresponding original image. This matrix of signals can be in turn analysed by means of common multivariate statistical methods, such as Principal Component Analysis (PCA) for exploratory analysis of the image dataset, or Partial Least Squares (PLS) regression for the quantification of colour-related properties of interest. Colourgrams GUI allows to easily convert the dataset of RGB images into the colourgrams matrix, to interactively visualize the signals coloured according to qualitative and/or quantitative properties of the corresponding samples and to visualize the colour features corresponding to selected colourgram regions into the image domain. In addition, the software also allows to analyse the colourgrams matrix by means of PCA and PLS
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