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    2151 research outputs found

    The tan theta theorem with relaxed conditions

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    The Davis-Kahan tan theta theorem bounds the tangent of the angles between an approximate and an exact invariant subspace of a Hermitian matrix. When applicable, it gives a sharper bound than the sin theta theorem. However, the tan theta theorem requires more restrictive conditions on the spectrums, demanding that the entire approximate eigenvalues (Ritz values) lie above (or below) the set of exact eigenvalues corresponding to the orthogonal complement of the invariant subspace. In this paper we show that the conditions of the tan theta theorem can be relaxed, in that the same bound holds even when the Ritz values lie both below and above the exact eigenvalues, but not vice versa

    Frobenius groups of automorphisms and their fixed points

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    Suppose that a finite group GG admits a Frobenius group of automorphisms FHFH with kernel FF and complement HH such that the fixed-point subgroup of FF is trivial: CG(F)=1C_G(F)=1. In this situation various properties of GG are shown to be close to the corresponding properties of CG(H)C_G(H). By using Clifford's theorem it is proved that the order G|G| is bounded in terms of H|H| and CG(H)|C_G(H)|, the rank of GG is bounded in terms of H|H| and the rank of CG(H)C_G(H), and that GG is nilpotent if CG(H)C_G(H) is nilpotent. Lie ring methods are used for bounding the exponent and the nilpotency class of GG in the case of metacyclic FHFH. The exponent of GG is bounded in terms of FH|FH| and the exponent of CG(H)C_G(H) by using Lazard's Lie algebra associated with the Jennings--Zassenhaus filtration and its connection with powerful subgroups. The nilpotency class of GG is bounded in terms of H|H| and the nilpotency class of CG(H)C_G(H) by considering Lie rings with a finite cyclic grading satisfying a certain `selective nilpotency' condition. The latter technique also yields similar results bounding the nilpotency class of Lie rings and algebras with a metacyclic Frobenius group of automorphisms, with corollaries for connected Lie groups and torsion-free locally nilpotent groups with such groups of automorphisms. Examples show that such nilpotency results are no longer true for non-metacyclic Frobenius groups of automorphisms

    Reducing the Influence of Tiny Normwise Relative Errors on Performance Profiles

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    It is a widespread but little-noticed phenomenon that the normwise relative error xy/x\|x-y\| / \|x\| of vectors xx and yy of floating point numbers of the same precision, where yy is an approximation to xx, can be many orders of magnitude smaller than the unit roundoff. We analyze this phenomenon and show that in the \infty-norm it happens precisely when xx has components of widely varying magnitude and every component of xx of largest magnitude agrees with the corresponding component of yy. Performance profiles are a popular way to compare competing algorithms according to particular measures of performance. We show that performance profiles based on normwise relative errors can give a misleading impression due to the influence of zero or tiny normwise relative errors. We propose a transformation that reduces the influence of these extreme errors in a controlled manner, while preserving the monotonicity of the underlying data and leaving the performance profile unchanged at its left end-point. Numerical examples with both artificial and genuine data illustrate the benefits of the transformation

    Mildness and the density of rational points on certain transcendental curves

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    We use a result due to Rolin, Speissegger, and Wilkie to show that definable sets in certain o-minimal structures admit definable parameterizations by mild maps. We then use this parameterization to prove a result on the density of rational points on curves defined by restricted Pfaffian functions

    Single Scan Parameterization of Space-Variant Point Spread Functions in Image Space via a Printed Array: Impact for two PET/CT Scanners

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    Incorporation of a resolution model during statistical image reconstruction often produces images of improved resolution and signal-to-noise ratio. A novel and practical methodology to rapidly and accurately determine the overall emission and detection blurring component of the system matrix using a printed point source array within a custom-made Perspex phantom is presented. The array was scanned at different positions and orientations within the field of view (FOV) to examine the feasibility of extrapolating the measured point source blurring to other locations in the FOV and the robustness of measurements from a single point source array scan. We measured the spatially-variant image-based blurring on two PET/CT scanners, the B-Hi-Rez and the TruePoint TrueV. These measured spatially-variant kernels and the spatially-invariant kernel at the FOV centre were then incorporated within an ordinary Poisson ordered subset expectation maximization (OP-OSEM) algorithm and compared to the manufacturer's implementation using projection space resolution modelling (RM). Comparisons were based on a point source array, the NEMA IEC image quality phantom, the Cologne resolution phantom and two clinical studies (carbon-11 labelled anti-sense oligonucleotide [11C]-ASO and fluorine-18 labelled fluoro-l-thymidine [18F]-FLT). Robust and accurate measurements of spatially-variant image blurring were successfully obtained from a single scan. Spatially-variant resolution modelling resulted in notable resolution improvements away from the centre of the FOV. Comparison between spatially-variant image-space methods and the projection-space approach (the first such report, using a range of studies) demonstrated very similar performance with our image-based implementation producing slightly better contrast recovery (CR) for the same level of image roughness (IR). These results demonstrate that image-based resolution modelling within reconstruction is a valid alternative to projection-based modelling, and that, when using the proposed practical methodology, the necessary resolution measurements can be obtained from a single scan. This approach avoids the relatively time-consuming and involved procedures previously proposed in the literature

    Micro-chaos in Relay Feedback Systems with Bang-Bang Control and Digital Sampling

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    We investigate a class of linear relay feedback systems with bang-bang control and with the control input applied at discrete time instances. Using a third order system as a representative example we show that stable oscillations with so-called sliding motion, with sliding present in continuous time system, loose the sliding segment of evolution, but do not loose their stability if the open loop system is stable. We then carry on our investigations and consider a situation when stable self-sustained oscillations are generated with the unstable open loop system. In the latter case a transition from a stable limit cycle to micro-chaotic oscillations occurs. The presence of micro-chaotic oscillations is shown by considering a linearised map that maps a small neighbourhood of initial conditions back to itself. Using this map the presence of the positive Lyapunov exponent is shown. The largest Lyapunov exponent is then calculated numerically for an open set of sampling times, and it is shown that it is positive. The boundedness of the attractor is ensured for sufficiently small sampling times; with the sampling time tending to zero these switchings become faster and they turn into sliding motion. It is the presence of the underlying sliding evolution that ensures the boundedness of the chaotic attractor. Our finding implies that what may be considered as noise in systems with digital control should actually be termed as micro-chaotic behaviour. This information may be helpful in designing digital control systems where any element contributing to what appears as noise should be suppressed

    Differential formulations of Maxwell's equations in ansiotropic materials

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    We consider a differential-form formulation of Maxwell's equations for anisotropic and bianisotropic medi

    Generating the Pfaffian closure with total Pfaffian functions

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    Given an ominimal expansion R of the real field, we show that the structure obtained from R by iterating the operation of adding all total Pfaffian functions over R defines the same sets as the Pfaffian closure of

    Mildness and the density of rational points on certain transcendental curves

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    We use a result due to Rolin, Speissegger, and Wilkie to show that definable sets in certain o-minimal structures admit definable parameterizations by mild maps. We then use this parameterization to prove a result on the density of rational points on curves defined by restricted Pfaffian functions

    Some illustrations of information geometry in biology and physics

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    Many real processes have stochastic features which seem to be representable in some intuitive sense as `close to Poisson', `nearly random', `nearly uniform' or with binary variables `nearly independent'. Each of those particular reference states, defined by an equation, is unstable in the formal sense, but it is passed through or hovered about by the observed process. Information geometry gives precise meaning for nearness and neighbourhood in a state space of processes, naturally quantifying proximity of a process to a particular state via an information theoretic metric structure on smoothly parametrized families of probability density functions. We illustrate some aspects of the methodology through case studies: inhomogeneous statistical evolutionary rate processes for epidemics, amino acid spacings along protein chains, constrained disordering of crystals, distinguishing nearby signal distributions and testing pseudorandom number generators

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