3,009 research outputs found

    Conservation of geometric structures for non-homogeneous inviscid incompressible fluids

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    We obtain a result about propagation of geometric properties for solutions of the non-homogeneous incompressible Euler system in any dimension N2N\geq2. In particular, we investigate conservation of striated and conormal regularity, which is a natural way of generalizing the 2-D structure of vortex patches. The results we get are only local in time, even in the dimension N=2; however, we provide an explicit lower bound for the lifespan of the solution. In the case of physical dimension N=2 or 3, we investigate also propagation of H\"older regularity in the interior of a bounded domain

    Holomorphic self-maps of singular rational surfaces

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    We give a new proof of the classification of normal singular surface germs admitting non-invertible holomorphic self-maps and due to J. Wahl. We then draw an analogy between the birational classification of singular holomorphic foliations on surfaces, and the dynamics of holomorphic maps. Following this analogy, we introduce the notion of minimal holomorphic model for holomorphic maps. We give sufficient conditions which ensure the uniqueness of such a model.Comment: 37 pages. To appear in Publicacions Matematiques

    Convergence in law in the second Wiener/Wigner chaos

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    Let L be the class of limiting laws associated with sequences in the second Wiener chaos. We exhibit a large subset L_0 of L satisfying that, for any F_infinity in L_0, the convergence of only a finite number of cumulants suffices to imply the convergence in law of any sequence in the second Wiener chaos to F_infinity. This result is in the spirit of the seminal paper by Nualart and Peccati, in which the authors discovered the surprising fact that convergence in law for sequences of multiple Wiener-It\^o integrals to the Gaussian is equivalent to convergence of just the fourth cumulant. Also, we offer analogues of this result in the case of free Brownian motion and double Wigner integrals, in the context of free probability.Comment: 14 pages. This version corrects an error which, unfortunately, appears in the published version in EC

    Sharp adaptive estimation of the drift function for ergodic diffusions

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    The global estimation problem of the drift function is considered for a large class of ergodic diffusion processes. The unknown drift S()S(\cdot) is supposed to belong to a nonparametric class of smooth functions of order k1k\geq1, but the value of kk is not known to the statistician. A fully data-driven procedure of estimating the drift function is proposed, using the estimated risk minimization method. The sharp adaptivity of this procedure is proven up to an optimal constant, when the quality of the estimation is measured by the integrated squared error weighted by the square of the invariant density.Comment: Published at http://dx.doi.org/10.1214/009053605000000615 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org

    On convergence-sensitive bisimulation and the embedding of CCS in timed CCS

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    We propose a notion of convergence-sensitive bisimulation that is built just over the notions of (internal) reduction and of (static) context. In the framework of timed CCS, we characterise this notion of `contextual' bisimulation via the usual labelled transition system. We also remark that it provides a suitable semantic framework for a fully abstract embedding of untimed processes into timed ones. Finally, we show that the notion can be refined to include sensitivity to divergence

    Processes with Long Memory: Regenerative Construction and Perfect Simulation

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    We present a perfect simulation algorithm for stationary processes indexed by Z, with summable memory decay. Depending on the decay, we construct the process on finite or semi-infinite intervals, explicitly from an i.i.d. uniform sequence. Even though the process has infinite memory, its value at time 0 depends only on a finite, but random, number of these uniform variables. The algorithm is based on a recent regenerative construction of these measures by Ferrari, Maass, Mart{\'\i}nez and Ney. As applications, we discuss the perfect simulation of binary autoregressions and Markov chains on the unit interval.Comment: 27 pages, one figure. Version accepted by Annals of Applied Probability. Small changes with respect to version

    A continuum-tree-valued Markov process

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    We present a construction of a L\'evy continuum random tree (CRT) associated with a super-critical continuous state branching process using the so-called exploration process and a Girsanov's theorem. We also extend the pruning procedure to this super-critical case. Let ψ\psi be a critical branching mechanism. We set ψθ()=ψ(+θ)ψ(θ)\psi_\theta(\cdot)=\psi(\cdot+\theta)-\psi(\theta). Let Θ=(θ,+)\Theta=(\theta_\infty,+\infty) or Θ=[θ,+)\Theta=[\theta_\infty,+\infty) be the set of values of θ\theta for which ψθ\psi_\theta is a branching mechanism. The pruning procedure allows to construct a decreasing L\'evy-CRT-valued Markov process (\ct_\theta,\theta\in\Theta), such that Tθ\mathcal{T}_\theta has branching mechanism ψθ\psi_\theta. It is sub-critical if θ>0\theta>0 and super-critical if θ<0\theta<0. We then consider the explosion time AA of the CRT: the smaller (negative) time θ\theta for which Tθ\mathcal{T}_\theta has finite mass. We describe the law of AA as well as the distribution of the CRT just after this explosion time. The CRT just after explosion can be seen as a CRT conditioned not to be extinct which is pruned with an independent intensity related to AA. We also study the evolution of the CRT-valued process after the explosion time. This extends results from Aldous and Pitman on Galton-Watson trees. For the particular case of the quadratic branching mechanism, we show that after explosion the total mass of the CRT behaves like the inverse of a stable subordinator with index 1/2. This result is related to the size of the tagged fragment for the fragmentation of Aldous' CRT

    Haldane's Fractional Statistics and the Riemann-Roch Theorem

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    The new definition of fractional statistics given by Haldane can be understood in some special cases in terms of the Riemann-Roch theorem.Comment: 38050 Povo, Trento and Division de Physique Th\'eorique, IPN, 91406 Orsay Cedex, 19 pages, IPNO/TH 94-11, SISSA/27/94/EP,UFT/32
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