637 research outputs found

    Analysis of the Brylinski-Kostant model for spherical minimal representations

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    We revisit with another view point the construction by R. Brylinski and B. Kostant of minimal representations of simple Lie groups. We start from a pair (V,Q)(V,Q), where VV is a complex vector space and QQ a homogeneous polynomial of degree 4 on VV. The manifold Ξ\Xi is an orbit of a covering of Conf(V,Q){\rm Conf}(V,Q), the conformal group of the pair (V,Q)(V,Q), in a finite dimensional representation space. By a generalized Kantor-Koecher-Tits construction we obtain a complex simple Lie algebra \goth g, and furthermore a real form {\goth g}_{\bboard R}. The connected and simply connected Lie group G_{\bboard R} with {\rm Lie}(G_{\bboard R})={\goth g}_{\bboard R} acts unitarily on a Hilbert space of holomorphic functions defined on the manifold Ξ\Xi Comment: 42 page

    Uncovering Causality from Multivariate Hawkes Integrated Cumulants

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    We design a new nonparametric method that allows one to estimate the matrix of integrated kernels of a multivariate Hawkes process. This matrix not only encodes the mutual influences of each nodes of the process, but also disentangles the causality relationships between them. Our approach is the first that leads to an estimation of this matrix without any parametric modeling and estimation of the kernels themselves. A consequence is that it can give an estimation of causality relationships between nodes (or users), based on their activity timestamps (on a social network for instance), without knowing or estimating the shape of the activities lifetime. For that purpose, we introduce a moment matching method that fits the third-order integrated cumulants of the process. We show on numerical experiments that our approach is indeed very robust to the shape of the kernels, and gives appealing results on the MemeTracker database

    Novel Psychaoctive Sucbstances and Behavioural Addictions

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    Copyright © 2014 Giovanni Martinotti et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Date of Acceptance: 09/11/2014Peer reviewedFinal Published versio
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