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    2151 research outputs found

    On the symmetry of epsilon factors for GL_n

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    We show how the epsilon factors for GL_n factor, as finite morphisms of algebraic varieties, through the corresponding extended quotients. The finite morphisms are, up to a constant, rational characters of complex tori

    On finite soluble groups with almost fixed-point-free automorphisms of non-coprime order

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    It is proved that if a finite pp-soluble group GG admits an automorphism φ\varphi of order pnp^n having at most mm fixed points on every \f-invariant elementary abelian pp'-section of GG, then the pp-length of GG is bounded above in terms of pnp^n and mm; if in addition the group GG is soluble, then the Fitting height of GG is bounded above in terms of pnp^n and mm. It is also proved that if a finite soluble group GG admits an automorphism ψ\psi of order paqbp^aq^b for some primes p,qp,q, then the Fitting height of GG is bounded above in terms of ψ|\psi | and CG(ψ)|C_G(\psi )|

    Computing the Action of Trigonometric and Hyperbolic Matrix Functions

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    We derive a new algorithm for computing the action f(A)Vf(A)V of the cosine, sine, hyperbolic cosine, and hyperbolic sine of a matrix AA on a matrix VV, without first computing f(A)f(A). The algorithm can compute cos(A)V\cos(A)V and sin(A)V\sin(A)V simultaneously, and likewise for cosh(A)V\cosh(A)V and sinh(A)V\sinh(A)V, and it uses only real arithmetic when AA is real. The algorithm exploits an existing algorithm \texttt{expmv} of Al-Mohy and Higham for eAV\mathrm{e}^AV and its underlying backward error analysis. Our experiments show that the new algorithm performs in a forward stable manner and is generally significantly faster than alternatives based on multiple invocations of \texttt{expmv} through formulas such as cos(A)V=(eiAV+eiAV)/2\cos(A)V = (\mathrm{e}^{\mathrm{i}A}V + \mathrm{e}^{\mathrm{-i}A}V)/2

    A formula for the Frechet derivative of a generalized matrix function

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    We state and prove an extension of the Daleckii-Krein theorem, thus obtaining an explicit formula for the Frechet derivative of generalized matrix functions. Moreover, we prove the differentiability of generalized matrix functions of real matrices under very mild assumptions. For complex matrices, we argue that generalized matrix functions are real differentiable but generally not complex differentiable. Finally, we discuss the application of our result to the study of the condition number of generalized matrix functions. Along our way, we also derive generalized matrix functional analogues of a few classical theorems on polynomial interpolation of classical matrix functions and their derivatives

    The Semisimple Elements of E_8(2)

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    In this paper we determine detailed information on the conjugacy classes and centralizers of semisimple elements in the exceptional Lie-type group E_8(2)

    Characterization of objects by electrosensing fish based on the first order polarization tensor

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    Weakly electric fish generate electric current and use hundreds of voltage sensors on the surface of their body to navigate and locate food. Experiments [G. von der Emde and S. Fetz, J. Exp Biol, 210, 3082�3095, 2007] show that they can discriminate between differently shaped conducting or insulating objects by using electrosensing. One approach to electrically identify and characterize the object with a lower computational cost rather than full shape reconstruction is to use the first order Polarization Tensor (PT) of the object. In this paper, by considering experimental work on Peters� elephantnose fish Gnathonemus petersii, we investigate the possible role of the first order PT in the ability of the fish to discriminate between objects of different shape. We also suggest some experiments that might be performed to further investigate the role of the first order PT in electrosensing fish. Finally, we speculate on the possibility of electrical cloaking or camouflage in prey of electrosensing fish and what might be learnt from the fish in human remote sensing

    Matrix Inverse Trigonometric and Inverse Hyperbolic Functions: Theory and Algorithms

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    Theoretical and computational aspects of matrix inverse trigonometric and inverse hyperbolic functions are studied. Conditions for existence are given, all possible values are characterized, and principal values \acos, \asin, \acosh, and \asinh are defined and shown to be unique primary matrix functions. Various functional identities are derived, some of which are new even in the scalar case, with care taken to specify precisely the choices of signs and branches. New results include a ``round trip'' formula that relates acos(cosA)\mathrm{acos}(\cos A) to AA and similar formulas for the other inverse functions. Key tools used in the derivations are the matrix unwinding function and the matrix sign function. A new inverse scaling and squaring type algorithm employing a Schur decomposition and variable-degree Pad\'e approximation is derived for computing acos, and it is shown how it can also be used to compute asin, acosh, and asinh. In numerical experiments the algorithm is found to behave in a forward stable fashion and to be superior to computing these functions via logarithmic formulas

    Matching Exponential-Based and Resolvent-Based Centrality Measures

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    The relative importance of nodes in a network can be quantified via functions of the adjacency matrix. Two popular choices of function are the exponential, which is parameter-free, and the resolvent function, which yields the Katz centrality measure. Katz centrality can be the more computationally efficient, especially for large directed networks, and has the benefit of generalizing naturally to time-dependent network sequences, but it depends on a parameter. We give a prescription for selecting the Katz parameter based on the objective of matching the centralities of the exponential counterpart. For our new choice of parameter the resolvent can be very ill conditioned, but we argue that the centralities computed in floating point arithmetic can nevertheless reliably be used for ranking. Experiments on \revised{six} real networks show that the new choice of Katz parameter leads to rankings of nodes that \revised{generally} match those from the exponential centralities well in practice

    An Equivalent of Language Invariance

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    We give a simpler equivalent of the Principle of Language Invariance within the framework of Pure Inductive Logic which is more evidently rational

    Introduction to the dynamics of piecewise smooth maps

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    These are preliminary notes for the Advanced Course on Piecewise Smooth Dynamical Systems 11--15 April 2016 at the CRM, Barcelona as part of the CRM Intensive Research Program in Nonsmooth Dynamics

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