Transition behavior of the waiting time distribution in a jumping model with the internal state

It has been noticed that when the waiting time distribution exhibits a transition from an intermediate time power law decay to a long-time exponential decay in the continuous time random walk model, a transition from anomalous diffusion to normal diffusion can be observed at the population level. However, the mechanism behind the transition of waiting time distribution is rarely studied. In this paper, we provide one possible mechanism to explain the origin of such transition. A jump model terminated by a state-dependent Poisson clock is studied by a formal asymptotic analysis for the time evolutionary equation of its probability density function. The waiting time behavior under a more relaxed setting can be rigorously characterized by probability tools. Both approaches show the transition phenomenon of the waiting time $T$, which is further verified numerically by particle simulations. Our results indicate that a small drift and strong noise in the state equation and a stiff response in the Poisson rate are crucial to the transitional phenomena.

[1]  Jian‐Guo Liu,et al.  Investigating the integrate and fire model as the limit of a random discharge model: a stochastic analysis perspective , 2020, Mathematical Neuroscience and Applications.

[2]  Jian‐Guo Liu,et al.  Rigorous Justification of the Fokker-Planck Equations of Neural Networks Based on an Iteration Perspective , 2020, SIAM J. Math. Anal..

[3]  Trifce Sandev,et al.  Crossover from anomalous to normal diffusion: truncated power-law noise correlations and applications to dynamics in lipid bilayers , 2018, New Journal of Physics.

[4]  Min Tang,et al.  The role of intracellular signaling in the stripe formation in engineered Escherichia coli populations , 2018, PLoS Comput. Biol..

[5]  G. Pavliotis Stochastic Processes and Applications: Diffusion Processes, the Fokker-Planck and Langevin Equations , 2014 .

[6]  Andrey G. Cherstvy,et al.  Anomalous diffusion models and their properties: non-stationarity, non-ergodicity, and ageing at the centenary of single particle tracking. , 2014, Physical chemistry chemical physics : PCCP.

[7]  Ralf Metzler,et al.  Noisy continuous time random walks. , 2013, The Journal of chemical physics.

[8]  Oliver C. Ibe,et al.  Markov processes for stochastic modeling , 2008 .

[9]  Floyd B. Hanson,et al.  Applied stochastic processes and control for jump-diffusions - modeling, analysis, and computation , 2007, Advances in design and control.

[10]  Amilcare Porporato,et al.  Intertime jump statistics of state-dependent Poisson processes. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[11]  A. Porporato,et al.  State-dependent fire models and related renewal processes. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[12]  Yuhai Tu,et al.  How white noise generates power-law switching in bacterial flagellar motors. , 2005, Physical review letters.

[13]  Brian Berkowitz,et al.  Time behavior of solute transport in heterogeneous media: transition from anomalous to normal transport , 2003 .

[14]  J. Klafter,et al.  The random walk's guide to anomalous diffusion: a fractional dynamics approach , 2000 .

[15]  J. Klafter,et al.  Lévy statistics in a Hamiltonian system. , 1994, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[16]  J. Bouchaud,et al.  Anomalous diffusion in disordered media: Statistical mechanisms, models and physical applications , 1990 .

[17]  Joseph W. Haus,et al.  Diffusion in regular and disordered lattices , 1987 .

[18]  E. Montroll,et al.  Anomalous transit-time dispersion in amorphous solids , 1975 .

[19]  E. Montroll,et al.  Random Walks on Lattices. II , 1965 .

[20]  Thorsten Gerber,et al.  Handbook Of Mathematical Functions , 2016 .

[21]  D. di Caprio,et al.  Crossover from anomalous to normal diffusion in porous media. , 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

[22]  S. Lalley RENEWAL THEORY , 2014 .

[23]  池田 信行,et al.  Stochastic differential equations and diffusion processes , 1981 .

[24]  E. Montroll Random walks on lattices , 1969 .