2,432,925 research outputs found

    Interior error estimate for periodic homogenization

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    In a previous article about the homogenization of the classical problem of diff usion in a bounded domain with su ciently smooth boundary we proved that the error is of order ϵ1/2\epsilon^{1/2}. Now, for an open set with su ciently smooth boundary C1,1C^{1,1} and homogeneous Dirichlet or Neuman limits conditions we show that in any open set strongly included in the error is of order ϵ\epsilon. If the open set ΩRn\Omega\subset R^n is of polygonal (n=2) or polyhedral (n=3) boundary we also give the global and interrior error estimates

    General error estimate for adiabatic quantum computing

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    Most investigations devoted to the conditions for adiabatic quantum computing are based on the first-order correction Ψground(t)H˙(t)Ψexcited(t)/ΔE2(t)1{\bra{\Psi_{\rm ground}(t)}\dot H(t)\ket{\Psi_{\rm excited}(t)} /\Delta E^2(t)\ll1}. However, it is demonstrated that this first-order correction does not yield a good estimate for the computational error. Therefore, a more general criterion is proposed, which includes higher-order corrections as well and shows that the computational error can be made exponentially small -- which facilitates significantly shorter evolution times than the above first-order estimate in certain situations. Based on this criterion and rather general arguments and assumptions, it can be demonstrated that a run-time TT of order of the inverse minimum energy gap ΔEmin\Delta E_{\rm min} is sufficient and necessary, i.e., T=\ord(\Delta E_{\rm min}^{-1}). For some examples, these analytical investigations are confirmed by numerical simulations. PACS: 03.67.Lx, 03.67.-a.Comment: 8 pages, 6 figures, several modification

    On the error estimate of gradient inclusions

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    The numerical analysis of gradient inclusions in a compact subset of 2×22\times 2 diagonal matrices is studied. Assuming that the boundary conditions are reached after a finite number of laminations and using piecewise linear finite elements, we give a general error estimate in terms of the number of laminations and the mesh size. This is achieved by reduction results from compact to finite case.Comment: 21 pages, 4 figure

    A Posteriori Error Estimates for Energy-Based Quasicontinuum Approximations of a Periodic Chain

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    We present a posteriori error estimates for a recently developed atomistic/continuum coupling method, the Consistent Energy-Based QC Coupling method. The error estimate of the deformation gradient combines a residual estimate and an a posteriori stability analysis. The residual is decomposed into the residual due to the approximation of the stored energy and that due to the approximation of the external force, and are bounded in negative Sobolev norms. In addition, the error estimate of the total energy using the error estimate of the deformation gradient is also presented. Finally, numerical experiments are provided to illustrate our analysis

    Improved Error Estimate for the Valence Approximation

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    We construct a systematic mean-field-improved coupling constant and quark loop expansion for corrections to the valence (quenched) approximation to vacuum expectation values in the lattice formulation of QCD. Terms in the expansion are evaluated by a combination of weak coupling perturbation theory and a Monte Carlo algorithm.Comment: 3 pages, 1 PostScript figure, talk given at Lattice 9

    Experimental determination of position-estimate accuracy using back-azimuth signals from a microwave landing system

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    Flight tests using the Boeing 737 airplane to obtain position estimates with back azimuth signals from a microwave landing system (MLS) are discussed. The equations and logic used to generate a navigation position estimate in the MLS back azimuth signal environment are described. The error in the navigation position estimate is determined. A summary of the Boeing 737 position estimate update process is described. The navigation position estimate error calculated flight data and radar tracking information is analyzed. The position estimate error data using the MLS inputs are compared with error data obtained during dual distance measuring equipment updates
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