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相关论文: Extreme deviations and applications

200 篇论文

We investigate velocity probability distribution functions (PDF) of sheared hard-sphere suspensions. As observed in our Stokes flow simulations and explained by our single-particle theory, these PDFs can show pronounced deviations from a…

软凝聚态物质 · 物理学 2008-07-24 Jens Harting , Hans J. Herrmann , Eli Ben-Naim

We consider the tails of probability density function (PDF) for the velocity that satisfies Burgers equation driven by a Gaussian large-scale force. The saddle-point approximation is employed in the path integral so that the calculation of…

chao-dyn · 物理学 2015-06-24 E. Balkovsky , G. Falkovich , I. Kolokolov , V. Lebedev

In this paper, we investigate and develop a new approach to the numerical analysis and characterization of random fluctuations with heavy-tailed probability distribution function (PDF), such as turbulent heat flow and solar flare…

统计力学 · 物理学 2017-03-22 Mohsen Ghasemi Nezhadhaghighi , Abbas Nakhlband

In this paper we discuss a closed-form approximation of the likelihood functions of an arbitrary diffusion process. The approximation is based on an exponential ansatz of the transition probability for a finite time step $\Delta t$, and a…

物理与社会 · 物理学 2008-12-10 Luca Capriotti

A Lagrangian method is used to show that the power-law with a -7/2 exponent in the negative tail of the pdf of the velocity gradient and of velocity increments, predicted by E, Khanin, Mazel and Sinai (1997 Phys. Rev. Lett. 78, 1904) for…

凝聚态物理 · 物理学 2009-10-31 J. Bec , U. Frisch

The view that the probability density function (PDF) of a key statistical variable, anomalously scaled by size or time, could furnish a hallmark of universal behavior contrasts with the circumstance that such density sensibly depends on…

统计力学 · 物理学 2025-04-01 Gianluca Teza , Attilio L. Stella

In this article we generalize the classical Edgeworth expansion for the probability density function (PDF) of sums of a finite number of symmetric independent identically distributed random variables with a finite variance to sums of…

统计力学 · 物理学 2015-05-20 Netanel Hazut , Shlomi Medalion , David A. Kessler , Eli Barkai

There has been overwhelming evidence that coherent structures play a critical role in determining the overall transport in a variety of systems. We compute the probability distribution function (PDF) tails of momentum flux and heat flux in…

等离子体物理 · 物理学 2009-11-13 Johan Anderson , Eun-jin Kim

Time series of observables measured from complex systems do often exhibit non-normal statistics, their statistical distributions (PDF's) are not gaussian and often skewed, with roughly exponential tails. Departure from gaussianity is…

数据分析、统计与概率 · 物理学 2018-06-29 F. Sattin

The formula for probability density functions (PDFs) has been extended to include PDF for energy dissipation rates in addition to other PDFs such as for velocity fluctuations, velocity derivatives, fluid particle accelerations, energy…

统计力学 · 物理学 2009-11-11 T. Arimitsu , N. Arimitsu

The distribution of the sum of dependent risks is a crucial aspect in actuarial sciences, risk management and in many branches of applied probability. In this paper, we obtain analytic expressions for the probability density function (pdf)…

统计方法学 · 统计学 2017-05-02 José María Sarabia , Emilio Gómez-Déniz , Faustino Prieto , Vanesa Jordá

We propose a new, physically motivated fitting function for density PDFs in turbulent gas. Although it is known that when gas is isothermal, the PDF is approximately lognormal in the core, high-resolution simulations show large deviations…

星系天体物理 · 物理学 2013-07-02 Philip F. Hopkins

For the steady-state direct cascade of two-dimensional Navier-Stokes turbulence, we derive analytically the probability of strong vorticity fluctuations. The probability density function (pdf) of the vorticity coarse-grained over a scale in…

混沌动力学 · 物理学 2015-05-20 Gregory Falkovich , Vladimir Lebedev , Mikhail Stepanov

Polymers in a turbulent flow are stretched out by the fluctuating velocity gradient; the stationary probability distribution function (p.d.f.) of extensions $R$ has a power-law tail with an exponent that increases with the Weissenberg…

流体动力学 · 物理学 2023-01-10 Jason R. Picardo , Emmanuel L. C. VI M. Plan , Dario Vincenzi

Large-deviations theory deals with tails of probability distributions and the rare events of random processes, for example spreading packets of particles. Mathematically, it concerns the exponential fall-of of the density of thin-tailed…

统计力学 · 物理学 2017-07-04 Erez Aghion , David A. Kessler , Eli Barkai

We investigate the dependency with scale of the empirical probability distribution functions (PDF) of Elsasser increments using large sets of WIND data (collected between 1995 and 2017) near 1 au. The empirical PDF are compared to the ones…

太阳与恒星天体物理 · 物理学 2022-11-30 Juan C. Palacios , Sofiane Bourouaine , Jean C. Perez

We use extreme value theory to estimate the probability of successive exceedances of a threshold value of a time-series of an observable on several classes of chaotic dynamical systems. The observables have either a Fr\'echet (fat-tailed)…

动力系统 · 数学 2023-11-07 Meagan Carney , Mark Holland , Matthew Nicol , Phuong Tran

We consider the probability that a weighted sum of $n$ i.i.d. random variables $X_j$, $j = 1, . . ., n$, with stretched exponential tails is larger than its expectation and determine the rate of its decay, under suitable conditions on the…

概率论 · 数学 2014-12-30 Nina Gantert , Kavita Ramanan , Franz Rembart

Supersonic turbulence occurs in many environments, particularly in astrophysics. In the crucial case of isothermal turbulence, the probability density function (PDF) of the logarithmic density, $s$, is well measured, but a theoretical…

星系天体物理 · 物理学 2024-10-31 Evan Scannapieco , Liubin Pan , Edward Buie , Marcus Brüggen

Plasma density fluctuations in the edge plasma of the RFX-mod device are measured through the Gas Puffing Imaging Diagnostics. Statistical features of the signal are quantified in terms of the Probability Distribution Function (PDF), and…

等离子体物理 · 物理学 2007-05-23 F. Sattin , P. Scarin , M. Agostini , R. Cavazzana , G. Serianni , M. Spolaore , N. Vianello