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We study numerically finite-size corrections in scaling relations for roughness distributions of various interface growth models. The most common relation, which considers the average roughness $<w_2>$ as scaling factor, is not obeyed in…

统计力学 · 物理学 2009-11-13 T. J. Oliveira , F. D. A. Aarao Reis

We propose a finite-size scaling analysis of binary stochastic processes $X(t)\in \{0,1\}$ based on the second moment correlation length $\xi$ for the autocorrelation function $C(t)$. The purpose is to clarify the critical properties and…

统计力学 · 物理学 2015-06-12 Shintaro Mori , Masato Hisakado

The critical behavior of a quenched random hypercubic sample of linear size $L$ is considered, within the ``random-$T_{c}$'' field-theoretical mode, by using the renormalization group method. A finite-size scaling behavior is established…

统计力学 · 物理学 2009-11-07 H. Chamati , E. Korutcheva , N. S. Tonchev

We present a new finite-size scaling method for the random walks (RW) superseeding a previously widely used renormalization group approach, which is shown here to be inconsistent. The method is valid in any dimension and is based on the…

凝聚态物理 · 物理学 2009-10-22 Achille Giacometti , Hisao Nakanishi

Fractional statistical moments are utilized for various tasks of uncertainty quantification, including the estimation of probability distributions. However, an estimation of fractional statistical moments of costly mathematical models by…

统计方法学 · 统计学 2024-03-05 Lukáš Novák , Marcos Valdebenito , Matthias Faes

We analytically derive, in the context of the replica formalism, the first finite size corrections to the average optimal cost in the random assignment problem for a quite generic distribution law for the costs. We show that, when moving…

无序系统与神经网络 · 物理学 2017-05-18 Sergio Caracciolo , Matteo P. D'Achille , Enrico M. Malatesta , Gabriele Sicuro

We study the convergence and shape correction to the limit distributions of extreme values due to the finite size (FS) of data sets. A renormalization method is introduced for the case of independent, identically distributed (iid)…

统计力学 · 物理学 2009-11-13 G. Gyorgyi , N. R. Moloney , K. Ozogany , Z. Racz

Even in large systems, the effect of noise arising from when populations are initially small can persist to be measurable on the macroscale. A deterministic approximation to a stochastic model will fail to capture this effect, but it can be…

种群与进化 · 定量生物学 2024-08-13 Dylan Morris , John Maclean , Andrew J. Black

We consider the effects of noise on a model of epidemic outbreaks, where the outbreaks appear. randomly. Using a constructive transition approach that predicts large outbreaks, prior to their occurrence, we derive an adaptive control.…

混沌动力学 · 物理学 2009-11-11 I. B. Schwartz , L. Billings , E. M. Bollt

Anomalous diffusion phenomena occur on length scales spanning from intracellular to astrophysical ranges. A specific form of decay at large argument of the probability density function of rescaled displacement (scaling function) is derived…

统计力学 · 物理学 2023-05-23 Attilio L. Stella , Aleksei Chechkin , Gianluca Teza

By convention, and even more often, as an unintentional consequence of design, time distributions of latency and infectious durations in stochastic epidemic simulations are often exponential. The skewed distribtion typically leads to…

定量方法 · 定量生物学 2007-12-18 Martin Camitz , Ake Svensson

Finite size effects for the Ising Model coupled to two dimensional random surfaces are studied by exploiting the exact results from the 2-matrix models. The fixed area partition function is numerically calculated with arbitrary precision by…

高能物理 - 理论 · 物理学 2009-10-28 N. D. Hari Dass , B. E. Hanlon , T. Yukawa

Many researchers have identified distribution shift as a likely contributor to the reproducibility crisis in behavioral and biomedical sciences. The idea is that if treatment effects vary across individual characteristics and experimental…

应用统计 · 统计学 2023-09-06 Ying Jin , Kevin Guo , Dominik Rothenhäusler

We show that hyperscaling and finite-size scaling imply that the probability distribution of the order parameter in finite size critical systems exhibit data collapse. We consider the examples of equilibrium critical systems, and a…

统计力学 · 物理学 2009-10-31 Vivek Aji , Nigel Goldenfeld

We study diffusion-controlled single-species annihilation with a finite number of particles. In this reaction-diffusion process, each particle undergoes ordinary diffusion, and when two particles meet, they annihilate. We focus on spatial…

统计力学 · 物理学 2016-11-23 E. Ben-Naim , P. L. Krapivsky

The computation time required by standard finite difference methods with fixed timesteps for solving fractional diffusion equations is usually very large because the number of operations required to find the solution scales as the square of…

数值分析 · 数学 2024-06-28 Santos B. Yuste , Joaquin Quintana-Murillo

The accurate estimation of scaling exponents is central in the observational study of scale-invariant phenomena. Natural systems unavoidably provide observations over restricted intervals; consequently a stationary stochastic process (time…

数据分析、统计与概率 · 物理学 2009-03-17 K. H. Kiyani , S. C. Chapman , N. W. Watkins

Using demographic data of high spatial resolution for a region in the south of Europe, we study the population over fixed-size spatial cells. We find that, counterintuitively, the distribution of the number of inhabitants per cell increases…

物理与社会 · 物理学 2022-12-07 Alvaro Corral , Montserrat García del Muro

We analyze large deviations of the time-averaged activity in the one dimensional Fredrickson-Andersen model, both numerically and analytically. The model exhibits a dynamical phase transition, which appears as a singularity in the large…

统计力学 · 物理学 2017-03-17 Takahiro Nemoto , Robert L. Jack , Vivien Lecomte

Finite-size scaling above the upper critical dimension is a long-standing puzzle in the field of Statistical Physics. Even for pure systems various scaling theories have been suggested, partially corroborated by numerical simulations. In…

统计力学 · 物理学 2023-10-30 Nikolaos G. Fytas , Victor Martin-Mayor , Giorgio Parisi , Marco Picco , Nicolas Sourlas