2,398 research outputs found

    Reducibility of polynomials f(x,y)f(x,y) modulo pp

    Get PDF
    We consider absolutely irreducible polynomials fZ[x,y]f \in Z[x,y] with degx(f)=m\deg_x(f)=m, degy(f)=n\deg_y(f)=n and height HH. We show that for any prime pp with p>cmnH2mn+n1p>c_{mn} H^{2mn+n-1} the reduction fmodpf \bmod p is also absolutely irreducible. Furthermore if the Bouniakowsky conjecture is true we show that there are infinitely many absolutely irreducible polynomials fZ[x,y]f \in Z[x,y] which are reducible mod pp where pp is a prime with p>H2mp>H^{2m}.Comment: Latex, 7 page

    Intrinsically Legal-For-Trade Objects by Digital Signatures

    Full text link
    The established techniques for legal-for-trade registration of weight values meet the legal requirements, but in praxis they show serious disadvantages. We report on the first implementation of intrinsically legal-for-trade objects, namely weight values signed by the scale, that is accepted by the approval authority. The strict requirements from both the approval- and the verification-authority as well as the limitations due to the hardware of the scale were a special challenge. The presented solution fulfills all legal requirements and eliminates the existing practical disadvantages.Comment: 4 pages, 0 figure

    Bayesian Analysis for Penalized Spline Regression Using Win BUGS

    Get PDF
    Penalized splines can be viewed as BLUPs in a mixed model framework, which allows the use of mixed model software for smoothing. Thus, software originally developed for Bayesian analysis of mixed models can be used for penalized spline regression. Bayesian inference for nonparametric models enjoys the flexibility of nonparametric models and the exact inference provided by the Bayesian inferential machinery. This paper provides a simple, yet comprehensive, set of programs for the implementation of nonparametric Bayesian analysis in WinBUGS. MCMC mixing is substantially improved from the previous versions by using low{rank thin{plate splines instead of truncated polynomial basis. Simulation time per iteration is reduced 5 to 10 times using a computational trick

    Properties of the phi meson at high temperatures and densities

    Full text link
    We calculate the spectral density of the phi meson in a hot bath of nucleons and pions using a general formalism relating self-energy to the forward scattering amplitude (FSA). In order to describe the low energy FSA, we use experimental data along with a background term. For the high energy FSA, a Regge parameterization is employed. We verify the resulting FSA using dispersion techniques. We find that the position of the peak of the spectral density is slightly shifted from its vacuum position and that its width is considerably increased. The width of the spectral density at a temperature of 150 MeV and at normal nuclear density is more than 90 MeV.Comment: 4 pages, 5 figures, Poster presented at Quark Matter 200
    corecore