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We analyze a class of linear shell models subject to stochastic forcing in finitely many degrees of freedom. The unforced systems considered formally conserve energy. Despite being formally conservative, we show that these dynamical systems…

数学物理 · 物理学 2009-11-11 Jonathan C. Mattingly , Toufic Suidan , Eric Vanden-Eijnden

We extend the standard scale-free network model to include a ``triad formation step''. We analyze the geometric properties of networks generated by this algorithm both analytically and by numerical calculations, and find that our model…

无序系统与神经网络 · 物理学 2009-11-07 Petter Holme , Beom Jun Kim

Scale-free percolation is a percolation model on $\mathbb{Z}^d$ which can be used to model real-world networks. We prove bounds for the graph distance in the regime where vertices have infinite degrees. We fully characterize transience vs.…

概率论 · 数学 2018-01-11 Markus Heydenreich , Tim Hulshof , Joost Jorritsma

We present a parametric study of a nonlinear diffusion equation which generalises Leith's model of a turbulent cascade to an arbitrary cascade having a single conserved quantity. There are three stationary regimes depending on whether the…

混沌动力学 · 物理学 2015-05-27 Colm Connaughton , Rachel McAdams

We study dynamics and scaling exponents in a nonlinear network model inspired by the formation of planetary systems. Dynamics of this model leads to phase separation to two types of condensate, light and heavy, distinguished by how they…

统计力学 · 物理学 2013-05-29 Aleksandar Bogojevic , Antun Balaz , Aleksandar Belic

We introduce tree linear cascades, a class of linear structural equation models for which the error variables are uncorrelated but need not be Gaussian nor independent. We show that, in spite of this weak assumption, the tree structure of…

统计方法学 · 统计学 2022-02-16 Nicholas C. Landolfi , Sanjay Lall

Random graphs with power-law degrees can model scale-free networks as sparse topologies with strong degree heterogeneity. Mathematical analysis of such random graphs proved successful in explaining scale-free network properties such as…

物理与社会 · 物理学 2019-05-24 Clara Stegehuis , Remco van der Hofstad , Johan S. H. van Leeuwaarden

We derive the finite size dependence of the clustering coefficient of scale-free random graphs generated by the configuration model with degree distribution exponent $2<\gamma<3$. Degree heterogeneity increases the presence of triangles in…

无序系统与神经网络 · 物理学 2015-06-05 Pol Colomer-de-Simon , Marian Boguna

We investigate the role of generalized symmetries in driving non-equilibrium and non-linear phenomena, specifically focusing on turbulent systems. While conventional turbulence studies have revealed inverse cascades driven by conserved…

高能物理 - 理论 · 物理学 2026-02-18 Yuji Hirono , Kohei Kamada , Naoki Yamamoto , Ryo Yokokura

We show how clustering as a general hierarchical dynamical process proceeds via a sequence of inverse cascades to produce self-similar scaling, as an intermediate asymptotic, which then truncates at the largest spatial scales. We show how…

adap-org · 物理学 2009-10-31 A. Gabrielov , W. I. Newman , D. L. Turcotte

Stationary solutions of a shell model of turbulence defined on a dyadic tree topology are studied. Each node's amplitude is expressed as the product of amplitude multipliers associated with its ancestors, providing a recursive…

流体动力学 · 物理学 2026-01-09 Flavio Tuteri , Sergio Chibbaro , Alexandros Alexakis

We derive the scale-by-scale uncertainty energy budget equation and demonstrate theoretically and computationally the presence of a self-similar equilibrium cascade of decorrelation in an inertial range of scales during the time range of…

流体动力学 · 物理学 2025-07-11 Jin Ge , Joran Rolland , John Christos Vassilicos

Many complex networks in nature have directed links, a property that affects the network's navigability and large-scale topology. Here we study the percolation properties of such directed scale-free networks with correlated in- and…

无序系统与神经网络 · 物理学 2009-11-07 N. Schwartz , R. Cohen , D. ben-Avraham , A. -L. Barabasi , S. Havlin

We complete a full classification of non-degenerate traveling waves of scalar balance laws from the point of view of spectral and nonlinear stability/instability under (piecewise) smooth perturbations. A striking feature of our analysis is…

偏微分方程分析 · 数学 2024-09-05 Vincent Duchêne , Luis Miguel Rodrigues

Turbulence is generally associated with universal power-law spectra in scale ranges without significant drive or damping. Although many examples of turbulent systems do not exhibit such an inertial range, power-law spectra may still be…

流体动力学 · 物理学 2015-06-16 Vasil Bratanov , Frank Jenko , David Hatch , Michael Wilczek

Multiplicative cascades have been introduced in turbulence to generate random or deterministic fields having intermittent values and long-range power-law correlations. Generally this is done using discrete construction rules leading to…

统计力学 · 物理学 2007-05-23 Francois G. Schmitt

Clustering is well-known to play a prominent role in the description and understanding of complex networks, and a large spectrum of tools and ideas have been introduced to this end. In particular, it has been recognized that the abundance…

无序系统与神经网络 · 物理学 2009-11-10 Danilo Sergi

We demonstrate that the correlations observed in conditioned multiplier distributions of the energy dissipation in fully developed turbulence can be understood as an unavoidable artefact of the observation procedure. Taking the latter into…

chao-dyn · 物理学 2009-10-31 Bruno Jouault , Peter Lipa , Martin Greiner

In discrete contexts such as the degree distribution for a graph, \emph{scale-free} has traditionally been \emph{defined} to be \emph{power-law}. We propose a reasonable interpretation of \emph{scale-free}, namely, invariance under the…

概率论 · 数学 2014-07-01 Richard Arratia , Thomas M. Liggett , Malcolm J. Williamson

Many complex systems--from social and communication networks to biological networks and the Internet--are thought to exhibit scale-free structure. However, prevailing explanations rely on the constant addition of new nodes, an assumption…

适应与自组织系统 · 物理学 2022-11-10 Christopher W. Lynn , Caroline M. Holmes , Stephanie E. Palmer
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