416 research outputs found

    The almost-sure asymptotic behavior of the solution to the stochastic heat equation with L\'evy noise

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    We examine the almost-sure asymptotics of the solution to the stochastic heat equation driven by a L\'evy space-time white noise. When a spatial point is fixed and time tends to infinity, we show that the solution develops unusually high peaks over short time intervals, even in the case of additive noise, which leads to a breakdown of an intuitively expected strong law of large numbers. More precisely, if we normalize the solution by an increasing nonnegative function, we either obtain convergence to 00, or the limit superior and/or inferior will be infinite. A detailed analysis of the jumps further reveals that the strong law of large numbers can be recovered on discrete sequences of time points increasing to infinity. This leads to a necessary and sufficient condition that depends on the L\'evy measure of the noise and the growth and concentration properties of the sequence at the same time. Finally, we show that our results generalize to the stochastic heat equation with a multiplicative nonlinearity that is bounded away from zero and infinity.Comment: Forthcoming in The Annals of Probabilit

    Randomly Weighted Self-normalized L\'evy Processes

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    Let (Ut,Vt)(U_t,V_t) be a bivariate L\'evy process, where VtV_t is a subordinator and UtU_t is a L\'evy process formed by randomly weighting each jump of VtV_t by an independent random variable XtX_t having cdf FF. We investigate the asymptotic distribution of the self-normalized L\'evy process Ut/VtU_t/V_t at 0 and at ∞\infty. We show that all subsequential limits of this ratio at 0 (∞\infty) are continuous for any nondegenerate FF with finite expectation if and only if VtV_t belongs to the centered Feller class at 0 (∞\infty). We also characterize when Ut/VtU_t/V_t has a non-degenerate limit distribution at 0 and ∞\infty.Comment: 32 page

    Identification of novel stress-responsive biomarkers from gene expression datasets in tomato roots

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    Published by CSIRO Publishing. This is the Author Accepted Manuscript. This article may be used for personal use only.Abiotic stresses such as heat, drought or salinity have been widely studied individually. Nevertheless, in the nature and in the field, plants and crops are commonly exposed to a different combination of stresses, which often result in a synergistic response mediated by the activation of several molecular pathways that cannot be inferred from the response to each individual stress. By screening microarray data obtained from different plant species and under different stresses, we identified several conserved stress-responsive genes whose expression was differentially regulated in tomato (Solanum lycopersicum L.) roots in response to one or several stresses. We validated 10 of these genes as reliable biomarkers whose expression levels are related to different signalling pathways involved in adaptive stress responses. In addition, the genes identified in this work could be used as general salt-stress biomarkers to rapidly evaluate the response of salt-tolerant cultivars and wild species for which sufficient genetic information is not yet available

    A note on a maximal Bernstein inequality

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    We show somewhat unexpectedly that whenever a general Bernstein-type maximal inequality holds for partial sums of a sequence of random variables, a maximal form of the inequality is also valid.Comment: Published in at http://dx.doi.org/10.3150/10-BEJ304 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm

    The limit distribution of ratios of jumps and sums of jumps of subordinators

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    Let VtV_{t} be a driftless subordinator, and let denote mt(1)≥mt(2)≥…m_{t}^{(1)} \geq m_{t}^{(2)} \geq\ldots its jump sequence on interval [0,t][0,t]. Put Vt(k)=Vt−mt(1)−…−mt(k)V_{t}^{(k)} = V_{t} - m_{t}^{(1)} - \ldots- m_{t}^{(k)} for the kk-trimmed subordinator. In this note we characterize under what conditions the limiting distribution of the ratios Vt(k)/mt(k+1)V_{t}^{(k)} / m_{t}^{(k+1)} and mt(k+1)/mt(k)m_{t}^{(k+1)} / m_{t}^{(k)} exist, as t↓0t \downarrow0 or t→∞t \to\infty.Comment: 14 page
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