3,557 research outputs found

    Essential spectra and exponential estimates of eigenfunctions of lattice operators of quantum mechanics

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    This paper is devoted to estimates of the exponential decay of eigenfunctions of difference operators on the lattice Z^n which are discrete analogs of the Schr\"{o}dinger, Dirac and square-root Klein-Gordon operators. Our investigation of the essential spectra and the exponential decay of eigenfunctions of the discrete spectra is based on the calculus of so-called pseudodifference operators (i.e., pseudodifferential operators on the group Z^n) with analytic symbols and on the limit operators method. We obtain a description of the location of the essential spectra and estimates of the eigenfunctions of the discrete spectra of the main lattice operators of quantum mechanics, namely: matrix Schr\"{o}dinger operators on Z^n, Dirac operators on Z^3, and square root Klein-Gordon operators on Z^n

    Homogeneous Charge Compression Ignition Control by the Use of Plasmatron Fuel Converter Technology

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    Generation linewidth of an auto-oscillator with a nonlinear frequency shift: Spin-torque nano-oscillator

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    It is shown that the generation linewidth of an auto-oscillator with a nonlinear frequency shift (i.e. an auto-oscillator in which frequency depends on the oscillation amplitude) is substantially larger than the linewidth of a conventional quasi-linear auto-oscillator due to the renormalization of the phase noise caused by the nonlinearity of the oscillation frequency. The developed theory, when applied to a spin-torque nano-contact auto-oscillator, predicts a minimum of the generation linewidth when the nano-contact is magnetized at a critical angle to its plane, corresponding to the minimum nonlinear frequency shift, in good agreement with recent experiments.Comment: 4 pages, 2 figure

    Sizing fish and ponds: The joint effects of individual- and group-based feedback

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    publication-status: PublishedCopyright © 2012 Elsevier. NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Experimental Social Psychology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Experimental Social Psychology, 2012, Vol. 48, pp. 244 – 249 DOI: http://dx.doi.org/10.1016/j.jesp.2011.The present paper explores the combined effects of individual- and group-directed feedback on perceived need for individual and collective change. Valence of feedback about individual and group performance (positive versus negative) was manipulated orthogonally. The results revealed that responses to various combinations of two-level feedback were moderated by group identification. With respect to the perceived need for collective change, high-identifiers (but not low-identifiers) were motivated by discrepant feedback: When group feedback was negative but individual feedback was positive, high identifiers perceived collective change to be more important than low-identifiers. With respect to the perceived need for individual change, low-identifiers (but not high-identifiers) were discouraged by the discrepant feedback: When group feedback was positive but individual feedback was negative, low-identifiers perceived individual change to be less important than high-identifiers. These data highlight the interplay between individual and collective feedback, and suggest that the meaning of feedback at each level (individual or group) is framed by the feedback received at the other level. Moreover, group identification seems to play a crucial role in reconciling differences between one's individual self and the performance of one's group

    Dynamical Encoding by Networks of Competing Neuron Groups: Winnerless Competition

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    Following studies of olfactory processing in insects and fish, we investigate neural networks whose dynamics in phase space is represented by orbits near the heteroclinic connections between saddle regions (fixed points or limit cycles). These networks encode input information as trajectories along the heteroclinic connections. If there are N neurons in the network, the capacity is approximately e(N-1)!, i.e., much larger than that of most traditional network structures. We show that a small winnerless competition network composed of FitzHugh-Nagumo spiking neurons efficiently transforms input information into a spatiotemporal output

    Nonlinear dynamics in one dimension: On a criterion for coarsening and its temporal law

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    We develop a general criterion about coarsening for a class of nonlinear evolution equations describing one dimensional pattern-forming systems. This criterion allows one to discriminate between the situation where a coarsening process takes place and the one where the wavelength is fixed in the course of time. An intermediate scenario may occur, namely `interrupted coarsening'. The power of the criterion lies in the fact that the statement about the occurrence of coarsening, or selection of a length scale, can be made by only inspecting the behavior of the branch of steady state periodic solutions. The criterion states that coarsening occurs if lambda'(A)>0 while a length scale selection prevails if lambda'(A)<0, where lambdalambda is the wavelength of the pattern and A is the amplitude of the profile. This criterion is established thanks to the analysis of the phase diffusion equation of the pattern. We connect the phase diffusion coefficient D(lambda) (which carries a kinetic information) to lambda'(A), which refers to a pure steady state property. The relationship between kinetics and the behavior of the branch of steady state solutions is established fully analytically for several classes of equations. Another important and new result which emerges here is that the exploitation of the phase diffusion coefficient enables us to determine in a rather straightforward manner the dynamical coarsening exponent. Our calculation, based on the idea that |D(lambda)|=lambda^2/t, is exemplified on several nonlinear equations, showing that the exact exponent is captured. Some speculations about the extension of the present results to higher dimension are outlined.Comment: 16 pages. Only a few minor changes. Accepted for publication in Physical Review

    Plasma reformer/fuel cell system for decentralized power applications

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