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Related papers: Hyperbolic decay time series

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This paper is the fourth in a series exploring the physical consequences of the solidity of highly viscous liquids. It is argued that the two basic characteristics of a flow event (a jump between two energy minima in configuration space)…

Soft Condensed Matter · Physics 2007-05-23 Jeppe C. Dyre

Fast radio bursts (FRBs), especially those from repeating sources, exhibit a rich variety of morphologies in their dynamic spectra (or waterfalls). Characterizing these morphologies and spectro-temporal properties is a key strategy in…

High Energy Astrophysical Phenomena · Physics 2025-11-26 Mohammed A. Chamma , Victor Pop , Fereshteh Rajabi

Heterogeneous diffusion processes are prevalent in various fields, including the motion of proteins in living cells, the migratory movement of birds and mammals, and finance. These processes are often characterized by time-varying dynamics,…

Statistical Mechanics · Physics 2025-03-11 Michał Balcerek , Adrian Pacheco-Pozo , Agnieszka Wyłomańska , Diego Krapf

BSSN-type evolution equations are discussed. The name refers to the Baumgarte, Shapiro, Shibata, and Nakamura version of the Einstein evolution equations, without introducing the conformal-traceless decomposition but keeping the three…

General Relativity and Quantum Cosmology · Physics 2009-11-10 Gabriel Nagy , Omar E. Ortiz , Oscar A. Reula

We consider the estimation of parametric fractional time series models in which not only is the memory parameter unknown, but one may not know whether it lies in the stationary/invertible region or the nonstationary or noninvertible…

Statistics Theory · Mathematics 2012-03-14 Javier Hualde , Peter M. Robinson

We describe the large-time moment asymptotics for the parabolic Anderson model where the speed of the diffusion is coupled with time, inducing an acceleration or deceleration. We find a lower critical scale, below which the mass flow gets…

Probability · Mathematics 2010-10-19 Wolfgang Konig , Sylvia Schmidt

We give a new example of a measure-valued process without a density, which arises from a stochastic partial differential equation with a multiplicative noise term. This process has some unusual properties. We work with the heat equation…

Probability · Mathematics 2011-02-18 Carl Mueller , Roger Tribe

We present the first rates of convergence to an $N$-dimensional Brownian motion when $N\ge2$ for discrete and continuous time dynamical systems. Additionally, we provide the first rates for continuous time in any dimension. Our results hold…

Dynamical Systems · Mathematics 2026-04-06 Nicolò Paviato

The quantum nature of gravity remains one of the greatest mysteries of modern physics, with many unified theories predicting variations in fundamental constants across space and time. Here we present precise measurements of these variations…

Astrophysics of Galaxies · Physics 2025-02-21 Renzhi Su , Tao An , Stephen J. Curran , Michael P. Busch , Minfeng Gu , Di Li

The behavior of coupled disordered one-dimensional systems, as modelled by identical fermionic Hubbard chains with the on-site potential disorder and coupling emerging through the inter-chain hopping $t'$, is analysed. The study is…

Disordered Systems and Neural Networks · Physics 2016-10-12 Peter Prelovšek

Anomalous diffusion is an established phenomenon but still a theoretical challenge in non-equilibrium statistical mechanics. Physical models are built incrementally, and the most recent and most general family is based on the fractional…

Probability · Mathematics 2025-07-23 Christian Bender , Yana A. Butko , Mirko D'Ovidio , Gianni Pagnini

We propose energy-conserving discontinuous Galerkin (DG) methods for symmetric linear hyperbolic systems on general unstructured meshes. Optimal a priori error estimates of order $k+1$ are obtained for the semi-discrete scheme in one…

Numerical Analysis · Mathematics 2019-06-26 Guosheng Fu , Chi-Wang Shu

Physical systems are often neither completely closed nor completely open, but instead they are best described by dynamical systems with partial escape or absorption. In this paper we introduce classical measures that explain the main…

Chaotic Dynamics · Physics 2020-09-15 Konstantin Clauß , Eduardo G. Altmann , Arnd Bäcker , Roland Ketzmerick

There are many problems that lead to analysis of dynamical systems in which one can distinguish motions of two types: slow one and fast one. An averaging over fast motion is used for approximate description of the slow motion. First…

Chaotic Dynamics · Physics 2009-11-11 A. I. Neishtadt , A. A. Vasiliev

We show that polynomial decay of correlations is prevalent for a class of nonuniformly hyperbolic flows. These flows are the continuous time analogue of a class of nonuniformly hyperbolic diffeomorphisms for which Young proved polynomial…

Dynamical Systems · Mathematics 2014-12-09 Ian Melbourne

We survey the spectro-temporal properties of fast radio bursts from FRB 20121102A observed by earlier studies across a wide range of frequencies. We investigate 167 bursts from FRB 20121102A spanning frequencies 1--7.5GHz, durations of less…

High Energy Astrophysical Phenomena · Physics 2023-04-19 Mohammed A. Chamma , Fereshteh Rajabi , Aishwarya Kumar , Martin Houde

In this paper, we prove the short-time existence of hyperbolic inverse (mean) curvature flow (with or without the specified forcing term) under the assumption that the initial compact smooth hypersurface of $\mathbb{R}^{n+1}$…

Differential Geometry · Mathematics 2020-10-16 Zhe Zhou , Chuan-Xi Wu , Jing Mao

We develop a generalization of correlated trend-cycle decompositions that avoids prior assumptions about the long-run dynamic characteristics by modelling the permanent component as a fractionally integrated process and incorporating a…

Econometrics · Economics 2020-05-26 Tobias Hartl , Rolf Tschernig , Enzo Weber

Time series data arising in many applications nowadays are high-dimensional. A large number of parameters describe features of these time series. We propose a novel approach to modeling a high-dimensional time series through several…

Methodology · Statistics 2024-08-22 Arkaprava Roy , Anindya Roy , Subhashis Ghosal
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