1,805 research outputs found
Optimal transportation with traffic congestion and Wardrop equilibria
In the classical Monge-Kantorovich problem, the transportation cost only
depends on the amount of mass sent from sources to destinations and not on the
paths followed by this mass. Thus, it does not allow for congestion effects.
Using the notion of traffic intensity, we propose a variant taking into account
congestion. This leads to an optimization problem posed on a set of probability
measures on a suitable paths space. We establish existence of minimizers and
give a characterization. As an application, we obtain existence and variational
characterization of equilibria of Wardrop type in a continuous space setting
Gauge dilution and leptogenesis
In this paper, we examine how gauge interactions can dilute the lepton
asymmetry in lepton induced baryogenesis. Constraints imposed on Majorana
masses keep this dilution at an acceptable level.Comment: 5 page
Derivatives with respect to metrics and applications: subgradient marching algorithm
This paper introduces a subgradient descent algorithm to compute a Riemannian metric that minimizes an energy involving geodesic distances. The heart of the method is the Subgradient Marching Algorithm to compute the derivative of the geodesic distance with respect to the metric. The geodesic distance being a concave function of the metric, this algorithm computes an element of the subgradient in O(N 2 log(N)) operations on a discrete grid of N points. It performs a front propagation that computes a subgradient of a discrete geodesic distance. We show applications to landscape modeling and to traffic congestion. Both applications require the maximization of geodesic distances under convex constraints, and are solved by subgradient descent computed with our Subgradient Marching. We also show application to the inversion of travel time tomography, where the recovered metric is the local minimum of a non-convex variational problem involving geodesic distance
Coupling of actin hydrolysis and polymerization: Reduced description with two nucleotide states
The polymerization of actin filaments is coupled to the hydrolysis of
adenosine triphosphate (ATP), which involves both the cleavage of ATP and the
release of inorganic phosphate. We describe hydrolysis by a reduced two-state
model with a cooperative cleavage mechanism, where the cleavage rate depends on
the state of the neighboring actin protomer in a filament. We obtain
theoretical predictions of experimentally accessible steady state quantities
such as the size of the ATP-actin cap, the size distribution of ATP-actin
islands, and the cleavage flux for cooperative cleavage mechanisms.Comment: 6 page
Long-Distance Wind-Dispersal of Spores in a Fungal Plant Pathogen: Estimation of Anisotropic Dispersal Kernels from an Extensive Field Experiment
Given its biological significance, determining the dispersal kernel (i.e., the distribution of dispersal distances) of spore-producing pathogens is essential. Here, we report two field experiments designed to measure disease gradients caused by sexually- and asexually-produced spores of the wind-dispersed banana plant fungus Mycosphaerella fijiensis. Gradients were measured during a single generation and over 272 traps installed up to 1000 m along eight directions radiating from a traceable source of inoculum composed of fungicide-resistant strains. We adjusted several kernels differing in the shape of their tail and tested for two types of anisotropy. Contrasting dispersal kernels were observed between the two types of spores. For sexual spores (ascospores), we characterized both a steep gradient in the first few metres in all directions and rare long-distance dispersal (LDD) events up to 1000 m from the source in two directions. A heavy-tailed kernel best fitted the disease gradient. Although ascospores distributed evenly in all directions, average dispersal distance was greater in two different directions without obvious correlation with wind patterns. For asexual spores (conidia), few dispersal events occurred outside of the source plot. A gradient up to 12.5 m from the source was observed in one direction only. Accordingly, a thin-tailed kernel best fitted the disease gradient, and anisotropy in both density and distance was correlated with averaged daily wind gust. We discuss the validity of our results as well as their implications in terms of disease diffusion and management strategy
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