9,068 research outputs found

    On arithmetic and asymptotic properties of up-down numbers

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    Let σ=(σ1,...,σN)\sigma=(\sigma_1,..., \sigma_N), where σi=±1\sigma_i =\pm 1, and let C(σ)C(\sigma) denote the number of permutations π\pi of 1,2,...,N+1,1,2,..., N+1, whose up-down signature sign(π(i+1)π(i))=σi\mathrm{sign}(\pi(i+1)-\pi(i))=\sigma_i, for i=1,...,Ni=1,...,N. We prove that the set of all up-down numbers C(σ)C(\sigma) can be expressed by a single universal polynomial Φ\Phi, whose coefficients are products of numbers from the Taylor series of the hyperbolic tangent function. We prove that Φ\Phi is a modified exponential, and deduce some remarkable congruence properties for the set of all numbers C(σ)C(\sigma), for fixed NN. We prove a concise upper-bound for C(σ)C(\sigma), which describes the asymptotic behaviour of the up-down function C(σ)C(\sigma) in the limit C(σ)(N+1)!C(\sigma) \ll (N+1)!.Comment: Recommended for publication in Discrete Mathematics subject to revision

    Stationary phase slip state in quasi-one-dimensional rings

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    The nonuniform superconducting state in a ring in which the order parameter vanishing at one point is studied. This state is characterized by a jump of the phase by π\pi at the point where the order parameter becomes zero. In uniform rings such a state is a saddle-point state and consequently unstable. However, for non-uniform rings with e.g. variations of geometrical or physical parameters or with attached wires this state can be stabilized and may be realized experimentally.Comment: 6 pages, 7 figures, RevTex 4.0 styl

    A simple solution of the critical Kauffman model with connectivity one

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    The Kauffman model is a model of genetic computation that highlights the importance of criticality at the border of order and chaos. But our understanding of its behavior is incomplete, and much of what we do know relies on intricate arguments. We give a simple proof that the number of attractors for the critical Kauffman model with connectivity one grows faster than previously believed. Our approach relies on a link between the critical dynamics and number theory.Comment: 2 page

    Paramagnetic Meissner effect in superconductors from self-consistent solutions of Ginzburg-Landau equations

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    The paramagnetic Meissner effect (PME) is observed in small superconducting samples, and a number of controversial explanations of this effect are proposed, but there is as yet no clear understanding of its nature. In the present paper PME is considered on the base of the Ginzburg-Landau theory (GL). The one-dimensional solutions are obtained in a model case of a long superconducting cylinder for different cylinder radii R, the GL-parameters \kappa and vorticities m. Acording to GL-theory, PME is caused by the presence of vortices inside the sample. The superconducting current flows around the vortex to screeen the vortex own field from the bulk of the sample. Another current flows at the boundary to screen the external field H from entering the sample. These screening currents flow in opposite directions and contribute with opposite signs to the total magnetic moment (or magnetization) of the sample. Depending on H, the total magnetization M may be either negative (diamagnetism), or positive (paramagnetism). A very complicated saw-like dependence M(H) (and other characteristics), which are obtained on the base of self-consistent solutions of the GL-equations, are discussed.Comment: 6 pages, 5 figures, RevTex, submitted to Phys. Rev.

    Multi-Modal Human-Machine Communication for Instructing Robot Grasping Tasks

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    A major challenge for the realization of intelligent robots is to supply them with cognitive abilities in order to allow ordinary users to program them easily and intuitively. One way of such programming is teaching work tasks by interactive demonstration. To make this effective and convenient for the user, the machine must be capable to establish a common focus of attention and be able to use and integrate spoken instructions, visual perceptions, and non-verbal clues like gestural commands. We report progress in building a hybrid architecture that combines statistical methods, neural networks, and finite state machines into an integrated system for instructing grasping tasks by man-machine interaction. The system combines the GRAVIS-robot for visual attention and gestural instruction with an intelligent interface for speech recognition and linguistic interpretation, and an modality fusion module to allow multi-modal task-oriented man-machine communication with respect to dextrous robot manipulation of objects.Comment: 7 pages, 8 figure

    Employment Law

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