14,908 research outputs found
On -estimates of derivatives of univalent rational functions
We study the growth of the quantity for
rational functions of degree , which are bounded and univalent in the
unit disk, and prove that this quantity may grow as , ,
when . Some applications of this result to problems of regularity
of boundaries of Nevanlinna domains are considered. We also discuss a related
result by Dolzhenko which applies to general (non-univalent) rational
functions.Comment: 16 pages, to appear in Journal d'Analyse Mathematiqu
Interaction of the Laws of Electrodynamics in the Huber Effect
A complex physical phenomenon, first discovered by engineer J. Huber in 1951, is investigated. From the perspective of an external observer, the phenomenon is as follows: an electric current is passed through the wheel pairs of the car moving from the rail to the rail. The current, passing through the movable contacts of the wheels and rails, creates an additional (up to the moment of inertia) torque. The research task is to explain the reason for the occurrence of torque. Based on the analysis of individual components of the electrodynamic phenomenon discovered by Huber, an algorithm for the successive interaction of the individual components of the effect is found on the basis of the laws of classical electrodynamics: electric, ferromagnetic, and mechanical.The identity of the effect is explained, both for the wheel pair and for the bearing (Kosyrev-Milroy engine). For the first time, the cause of the appearance of the torque is revealed: relative movement of surface charges in the region of the movable electrical contact to the wheel body and the rails (or balls and guides). Moving charges unevenly magnetized ferromagnetic bodies according to the Biot-Savart-Laplace law. Due to the reduction in the clearance of the oncoming side of the wheel (or balls) and the increase on the trailing side, the pulling force from the oncoming side and, accordingly, the moment are more than on trailing side. The presented theoretical explanations completely correspond to the experimental investigation of the effect carried out by different scientists at different times
A mixed effects model for longitudinal relational and network data, with applications to international trade and conflict
The focus of this paper is an approach to the modeling of longitudinal social
network or relational data. Such data arise from measurements on pairs of
objects or actors made at regular temporal intervals, resulting in a social
network for each point in time. In this article we represent the network and
temporal dependencies with a random effects model, resulting in a stochastic
process defined by a set of stationary covariance matrices. Our approach builds
upon the social relations models of Warner, Kenny and Stoto [Journal of
Personality and Social Psychology 37 (1979) 1742--1757] and Gill and Swartz
[Canad. J. Statist. 29 (2001) 321--331] and allows for an intra- and
inter-temporal representation of network structures. We apply the methodology
to two longitudinal data sets: international trade (continuous response) and
militarized interstate disputes (binary response).Comment: Published in at http://dx.doi.org/10.1214/10-AOAS403 the Annals of
Applied Statistics (http://www.imstat.org/aoas/) by the Institute of
Mathematical Statistics (http://www.imstat.org
Stochastic symmetry-breaking in a gaussian Hopfield model
We study a ``two-pattern'' Hopfield model with Gaussian disorder. We find
that there are infinitely many pure states at low temperatures in this model,
and we find that the metastate is supported on an infinity of symmetric pairs
of pure states. The origin of this phenomenon is the random breaking of a
rotation symmetry of the distribution of the disorderComment: 31pp, AMSTe
- …