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相关论文: Small deviations in lognormal Mandelbrot cascades

200 篇论文

Lagrangian chaos is experimentally investigated in a convective flow by means of Particle Tracking Velocimetry. The Finite Size Lyapunov Exponent analysis is applied to quantify dispersion properties at different scales. In the range of…

chao-dyn · 物理学 2009-10-31 G. Boffetta , M. Cencini , S. Espa , G. Querzoli

The concept of uniform distribution in $[0,1]$ is extended for a certain strictly separated maximal (in the sense of cardinality) family $(\lambda_t)_{t \in [0,1]}$ of invariant extensions of the linear Lebesgue measure $\lambda$ in…

经典分析与常微分方程 · 数学 2016-03-16 A. Kirtadze , G. Pantsulaia , N. Rusiashvili

For a compact manifold $M$ of $\dim M =n\geq 4$, we study two conformal invariants of a conformal class $C$ on $M$. These are the Yamabe constant $Y_C(M)$ and the $L^{\frac{n}{2}}$-norm $W_C(M)$ of the Weyl curvature. We prove that for any…

微分几何 · 数学 2007-05-23 Kazuo Akutagawa , Boris Botvinnik , Osamu Kobayashi , Harish Seshadri

We study the asymptotic behavior of small deviation probabilities for the critical Galton-Watson processes with infinite variance of the offspring sizes of particles and apply the obtained result to investigate the structure of a reduced…

概率论 · 数学 2025-05-16 Vladimir Vatutin , Elena Dyakonova , Yakubdjan Khusanbaev

Let $M$ be a $d$-dimensional connected compact Riemannian manifold with boundary $\partial M$, let $V\in C^2(M)$ such that $\mu({\rm d} x):={\rm e}^{V(x)}{\rm d} x$ is a probability measure, and let $X_t$ be the diffusion process generated…

概率论 · 数学 2022-04-11 Feng-Yu Wang

We establish large deviation formulas for linear statistics on the $N$ transmission eigenvalues $\{T_i\}$ of a chaotic cavity, in the framework of Random Matrix Theory. Given any linear statistics of interest $A=\sum_{i=1}^N a(T_i)$, the…

介观与纳米尺度物理 · 物理学 2015-05-14 Pierpaolo Vivo , Satya N. Majumdar , Oriol Bohigas

We study Mandelbrot's multiplicative cascade measures at the critical temperature. As has been recently shown by Barral, Rhodes and Vargas (arXiv:1203.5445), an appropriately normalized sequence of cascade measures converges weakly in…

概率论 · 数学 2015-06-05 Julien Barral , Antti Kupiainen , Miika Nikula , Eero Saksman , Christian Webb

The strain load $\Delta\gamma$ that triggers consecutive avalanches is a key observable in the slow deformation of amorphous solids. Its temporally averaged value $\langle \Delta\gamma \rangle$ displays a non-trivial system-size dependence…

无序系统与神经网络 · 物理学 2021-01-15 Ezequiel E. Ferrero , Eduardo A. Jagla

Macdonald processes are probability measures on sequences of partitions defined in terms of nonnegative specializations of the Macdonald symmetric functions and two Macdonald parameters q,t in [0,1). We prove several results about these…

概率论 · 数学 2015-03-19 Alexei Borodin , Ivan Corwin

We study the reknown deconvolution problem of recovering a distribution function from independent replicates (signal) additively contaminated with random errors (noise), whose distribution is known. We investigate whether a Bayesian…

统计理论 · 数学 2021-11-15 Judith Rousseau , Catia Scricciolo

For a>0,let W^a(t) be the a-neighbourhood of standard Brownian motion in R^d starting at 0 and observed until time t.It is well-known that E|W^a(t)|~kappa_a t (t->infty) for d >= 3,with kappa_a the Newtonian capacity of the ball with radius…

概率论 · 数学 2007-05-23 Michiel van den Berg , Erwin Bolthausen , Frank den Hollander

We discuss situations where perturbing a probability measure on $\mathbb{R}^n$ does not deteriorate its Poincar\'e constant by much. A particular example is the symmetric exponential measure in $\mathbb{R}^n$, even log-concave perturbations…

泛函分析 · 数学 2019-07-11 Franck Barthe , Bo'az Klartag

Let $ \nu $ be a probability distribution over the linear semi-group $ \mathrm{End}(E) $ for $ E $ a finite dimensional vector space over a locally compact field. We assume that $ \nu $ is proximal, strongly irreducible and that $…

概率论 · 数学 2025-02-14 Axel Péneau

The conformal mapping w=(L/2\pi)\ln z transforms the critical plane with a radial perturbation \alpha\rho^{-y} into a cylinder with width L and a constant deviation \alpha(2\pi/L)^y from the bulk critical point when the decay exponent y is…

统计力学 · 物理学 2007-05-23 L. Turban

We consider the problem of recovering a distribution function on the real line from observations additively contaminated with errors following the standard Laplace distribution. Assuming that the latent distribution is completely unknown…

统计方法学 · 统计学 2017-08-21 Catia Scricciolo

Classical chaotic dynamics is characterized by the exponential sensitivity to initial conditions. Quantum mechanics, however, does not show this feature. We consider instead the sensitivity of quantum evolution to perturbations in the…

无序系统与神经网络 · 物理学 2009-11-07 F. M. Cucchietti , H. M. Pastawski , D. A. Wisniacki

We study the multivariate deconvolution problem of recovering the distribution of a signal from independent and identically distributed observations additively contaminated with random errors (noise) from a known distribution. For errors…

统计理论 · 数学 2023-09-28 Judith Rousseau , Catia Scricciolo

In this work, we establish the response of scalar systems with multiple discrete delays based on the Laplace transform. The time response function is expressed as the sum of infinite series of exponentials acting on eigenvalues inside…

动力系统 · 数学 2016-10-05 Shuo-Tsung Chen , Shun-Pin Hsu , Huang-Nan Huang , Bin-Yan Yang

Using recent results concerning the homogenization and the Hardy property of weighted means, we establish sharp Hardy constants for concave and monotone weighted quasideviation means and for a few particular subclasses of this broad family.…

经典分析与常微分方程 · 数学 2020-11-23 Zsolt Páles , Paweł Pasteczka

Consider a sequence of random polynomials $P_n(z) = \prod_{k=1}^{n}(z - X_k)$, where $\{X_k\}_k$ are i.i.d. random variables distributed uniformly on the unit disc $\mathbb{D}$. Let $\Lambda_n = \{z \in \mathbb{C}: |P_n(z)| < 1\}$ be the…

概率论 · 数学 2026-05-29 Subhajit Ghosh , Koushik Ramachandran , Atul Shekhar