中文
相关论文

相关论文: Semi-Markov models and motion in heterogeneous med…

200 篇论文

The continuous time random walk model plays an important role in modeling of so called anomalous diffusion behaviour. One of the specific property of such model are constant time periods visible in trajectory. In the continuous time random…

数据分析、统计与概率 · 物理学 2017-01-04 Rafał Połoczański , Agnieszka Wyłomańska , Janusz Gajda , Monika Maciejewska , Andrzej Szczurek

Initially developed in the framework of quantum stochastic calculus, the main equations of quantum stochastic filtering were later on derived as the limits of Markov models of discrete measurements under appropriate scaling. In many…

数学物理 · 物理学 2020-08-18 Vassili N. Kolokoltsov

We consider continuous time random walks (CTRW) for open systems that exchange energy and matter with multiple reservoirs. Each waiting time distribution (WTD) for times between steps is characterized by a positive parameter a, which is set…

统计力学 · 物理学 2010-03-01 Massimiliano Esposito , Katja Lindenberg

In this article, we generalize the recent Discrete Time Random Walk (DTRW) algorithm, which was introduced for the computation of probability densities of fractional diffusion. Although it has the same computational complexity and shares…

计算物理 · 物理学 2018-08-20 Gurtek Gill , Peter Straka

Semi-Markov processes are a generalization of Markov processes since the exponential distribution of time intervals is replaced with an arbitrary distribution. This paper provides an integro-differential form of the Kolmogorov's backward…

概率论 · 数学 2017-09-20 Enzo Orsingher , Costantino Ricciuti , Bruno Toaldo

We present a hybrid approach to groundwater transport modeling, "CTRW-on-a-streamline", that allows continuous-time random walk (CTRW) particle tracking on large-scale, explicitly-delineated heterogeneous groundwater velocity fields. The…

计算物理 · 物理学 2020-12-02 Scott K. Hansen , Brian Berkowitz

It is a well known fact that subdiffusion equations in terms of fractional derivatives can be obtained from Continuous Time Random Walk (CTRW) models with long-tailed waiting time distributions. Over the last years various authors have…

生物物理 · 物理学 2010-06-15 S. B. Yuste , E. Abad , K. Lindenberg

We study the causes of anomalous dispersion in Darcy-scale porous media characterized by spatially heterogeneous hydraulic properties. Spatial variability in hydraulic conductivity leads to spatial variability in the flow properties through…

流体动力学 · 物理学 2017-11-22 Alessandro Comolli , Marco Dentz

The behavior of a spin undergoing Larmor precession in the presence of fluctuating fields is of interest to workers in many fields. The fluctuating fields cause frequency shifts and relaxation which are related to their power spectrum,…

统计力学 · 物理学 2016-06-15 Christopher M. Swank , Alexander K. Petukhov , Robert Golub

We consider continuous time random walks (CTRW) and discuss situations pertinent to aging. These correspond to the case when the initial state of the system is known not at preparation (at $t=0$) but at the later instant of time $t_1>0$…

统计力学 · 物理学 2007-10-16 V. Yu. Zaburdaev , I. M. Sokolov

Continuous time random walk (CTRW) subdiffusion along with the associated fractional Fokker-Planck equation (FFPE) is traditionally based on the premise of random clock with divergent mean period. This work considers an alternative CTRW and…

统计力学 · 物理学 2014-09-24 Igor Goychuk

We consider a simple linear reversible isomerization reaction A <--> B under subdiffusion described by continuous time random walks (CTRW). The reactants' transformations take place independently on the motion and are described by constant…

统计力学 · 物理学 2009-11-13 F. Sagues , V. P. Shkilev , I. M. Sokolov

We develop a continuous time random walk (CTRW) approach for the evolution of Lagrangian velocities in steady heterogeneous flows based on a stochastic relaxation process for the streamwise particle velocities. This approach describes…

流体动力学 · 物理学 2016-11-30 Marco Dentz , Peter K. Kang , Alessandro Comolli , Tanguy Le Borgne , Daniel R. Lester

Continuous-time random walk (CTRW) is a model of anomalous sub-diffusion in which particles are immobilized for random times between successive jumps. A power-law distribution of the waiting times, $\psi(\tau) \tau^{-(1+\alpha)}$, leads to…

统计力学 · 物理学 2011-12-06 Shai Carmi , Eli Barkai

We introduce a discrete-time random walk model on a one-dimensional lattice with a nonconstant sojourn time and prove that the discrete density converges to a solution of a continuum diffusion equation. Our random walk model is not…

偏微分方程分析 · 数学 2023-02-14 Jaywan Chung , Yong-Jung Kim , Min-Gi Lee

Motivated by various recent experimental findings, we propose a dynamical model of intermittently self-propelled particles: active particles that recurrently switch between two modes of motion, namely an active run-state and a turn state,…

软凝聚态物质 · 物理学 2025-10-30 Agniva Datta , Carsten Beta , Robert Großmann

Anomalous diffusion has recently turned out to be almost ubiquitous in transport problems. When the physical properties of the medium where the transport process takes place are stationary and constant at each spatial location, anomalous…

统计力学 · 物理学 2007-06-14 Marzio Marseguerra , Andrea Zoia

We investigate the dynamics of a particle executing a general Continuous Time Random Walk (CTRW) in three dimensions under the influence of arbitrary time-varying external fields. Contrary to the general approach in recent works, our method…

统计力学 · 物理学 2011-12-15 Shovan Dutta , Subhankar Ray , J. Shamanna

This paper is concerned with a non-homogeneous in space and non-local in time random walk model for anomalous subdiffusive transport of cells. Starting with a Markov model involving a structured probability density function, we derive the…

统计力学 · 物理学 2013-02-21 S. Fedotov , A. O. Ivanov , A. Y. Zubarev

The well-established methodology for the estimation of hidden semi-Markov models (HSMMs) as hidden Markov models (HMMs) with extended state spaces is further developed to incorporate covariate influences across all aspects of the state…

统计方法学 · 统计学 2024-05-24 Jan-Ole Koslik