878 research outputs found

    On the equivalence of modes of convergence for log-concave measures

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    An important theme in recent work in asymptotic geometric analysis is that many classical implications between different types of geometric or functional inequalities can be reversed in the presence of convexity assumptions. In this note, we explore the extent to which different notions of distance between probability measures are comparable for log-concave distributions. Our results imply that weak convergence of isotropic log-concave distributions is equivalent to convergence in total variation, and is further equivalent to convergence in relative entropy when the limit measure is Gaussian.Comment: v3: Minor tweak in exposition. To appear in GAFA seminar note

    On the mean width of log-concave functions

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    In this work we present a new, natural, definition for the mean width of log-concave functions. We show that the new definition coincide with a previous one by B. Klartag and V. Milman, and deduce some properties of the mean width, including an Urysohn type inequality. Finally, we prove a functional version of the finite volume ratio estimate and the low-M* estimate.Comment: 15 page

    A resource-based analysis of bankruptcy law, SMEs, and corporate recovery

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    The UK Company Voluntary Arrangement (CVA) is an early example of a bankruptcy regime designed to aid the rescue of financially distressed SMEs. Its efficacy hinges on its application to aid only viable companies with liquidation the preferred option for companies that are not viable. This paper proposes the resource-based view as a theoretical means to assess the viability of bankrupt SMEs. Seven hypotheses are tested and provide support for the central proposition, that a company which has resource strength, but is pushed into bankruptcy by temporary factors, is more likely to succeed in a CVA. The paper concludes that the resource-based view is useful for analysing the viability of bankrupt companies and that well-designed bankruptcy law can promote SMEs and entrepreneurship

    Autonomous frequency domain identification: Theory and experiment

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    The analysis, design, and on-orbit tuning of robust controllers require more information about the plant than simply a nominal estimate of the plant transfer function. Information is also required concerning the uncertainty in the nominal estimate, or more generally, the identification of a model set within which the true plant is known to lie. The identification methodology that was developed and experimentally demonstrated makes use of a simple but useful characterization of the model uncertainty based on the output error. This is a characterization of the additive uncertainty in the plant model, which has found considerable use in many robust control analysis and synthesis techniques. The identification process is initiated by a stochastic input u which is applied to the plant p giving rise to the output. Spectral estimation (h = P sub uy/P sub uu) is used as an estimate of p and the model order is estimated using the produce moment matrix (PMM) method. A parametric model unit direction vector p is then determined by curve fitting the spectral estimate to a rational transfer function. The additive uncertainty delta sub m = p - unit direction vector p is then estimated by the cross spectral estimate delta = P sub ue/P sub uu where e = y - unit direction vectory y is the output error, and unit direction vector y = unit direction vector pu is the computed output of the parametric model subjected to the actual input u. The experimental results demonstrate the curve fitting algorithm produces the reduced-order plant model which minimizes the additive uncertainty. The nominal transfer function estimate unit direction vector p and the estimate delta of the additive uncertainty delta sub m are subsequently available to be used for optimization of robust controller performance and stability

    Remarks on the KLS conjecture and Hardy-type inequalities

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    We generalize the classical Hardy and Faber-Krahn inequalities to arbitrary functions on a convex body Ω⊂Rn\Omega \subset \mathbb{R}^n, not necessarily vanishing on the boundary ∂Ω\partial \Omega. This reduces the study of the Neumann Poincar\'e constant on Ω\Omega to that of the cone and Lebesgue measures on ∂Ω\partial \Omega; these may be bounded via the curvature of ∂Ω\partial \Omega. A second reduction is obtained to the class of harmonic functions on Ω\Omega. We also study the relation between the Poincar\'e constant of a log-concave measure μ\mu and its associated K. Ball body KμK_\mu. In particular, we obtain a simple proof of a conjecture of Kannan--Lov\'asz--Simonovits for unit-balls of ℓpn\ell^n_p, originally due to Sodin and Lata{\l}a--Wojtaszczyk.Comment: 18 pages. Numbering of propositions, theorems, etc.. as appeared in final form in GAFA seminar note

    Topological phase for spin-orbit transformations on a laser beam

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    We investigate the topological phase associated with the double connectedness of the SO(3) representation in terms of maximally entangled states. An experimental demonstration is provided in the context of polarization and spatial mode transformations of a laser beam carrying orbital angular momentum. The topological phase is evidenced through interferometric measurements and a quantitative relationship between the concurrence and the fringes visibility is derived. Both the quantum and the classical regimes were investigated.Comment: 4 pages, 4 figure

    On Hastings' counterexamples to the minimum output entropy additivity conjecture

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    Hastings recently reported a randomized construction of channels violating the minimum output entropy additivity conjecture. Here we revisit his argument, presenting a simplified proof. In particular, we do not resort to the exact probability distribution of the Schmidt coefficients of a random bipartite pure state, as in the original proof, but rather derive the necessary large deviation bounds by a concentration of measure argument. Furthermore, we prove non-additivity for the overwhelming majority of channels consisting of a Haar random isometry followed by partial trace over the environment, for an environment dimension much bigger than the output dimension. This makes Hastings' original reasoning clearer and extends the class of channels for which additivity can be shown to be violated.Comment: 17 pages + 1 lin

    Microwave radiometric observations near 19.35, 92 and 183 GHz of precipitation in tropical storm Cora

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    Observations of rain cells in the remains of a decaying tropical storm were made by Airborne Microwave Radiometers at 19.35,92 and three frequencies near 183 GHz. Extremely low brightness temperatures, as low as 140 K were noted in the 92 and 183 GHz observations. These can be accounted for by the ice often associated with raindrop formation. Further, 183 GHz observations can be interpreted in terms of the height of the ice. The brightness temperatures observed suggest the presence of precipitation sized ice as high as 9 km or more
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