Gaussianity Fair: The Riddle of Anomalous yet Non-Gaussian Diffusion.

نویسنده

  • Ralf Metzler
چکیده

Single particle tracking has become a standard method, especially in biophysics (1,2). With superresolution microscopy, the motions of even individual molecules in a live cell are routinely tracked (1–3). The monitored dynamics provides important clues on the interactions of the probe particle with the intracellular environment. The results from such studies are quite remarkable. First, they demonstrate the existence of anomalous particle diffusion of the form hr2ixta with as1 at often macroscopic times (1,2). Second, the observed motion may turn out to be pronouncedly nonstationary: this causes the time-averaged mean squared displacement d, typically evaluated from measured time series of the particle trajectories, to behave fundamentally differently from the ensemble analog hr2i (4,5). In addition to this, subdiffusive particle motion may exhibit aging, that is, its dynamics changes over time: typically, the particle slows down in the sense that in d the effective diffusivity decays with the trace length t (5,6). However, in the strongly nonequilibrium setting of biological cells, reinforcing aging may also emerge, when the power of the t dependence is positive. The inequivalence d2shr2i and aging is not

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Non-Gaussian statistics and superdiffusion in a driven-dissipative dusty plasma.

Particle random motion can exhibit both anomalous diffusion and non-Gaussian statistics in some physical systems. Anomalous diffusion is quantified by a deviation from alpha=1 in a power law for a particle's mean-square displacement, MSD proportional, variant(Deltat)alpha. A deviation from Gaussian statistics for a probability distribution function (PDF) is quantified by fitting to a kappa func...

متن کامل

Anomalous kinetics in diffusion limited reactions linked to non-Gaussian concentration probability distribution function.

We investigate anomalous reaction kinetics related to segregation in the one-dimensional reaction-diffusion system A + B → C. It is well known that spatial fluctuations in the species concentrations cause a breakdown of the mean-field behavior at low concentration values. The scaling of the average concentration with time changes from the mean-field t(-1) to the anomalous t(-1/4) behavior. Usin...

متن کامل

Diffusing diffusivity: a model for anomalous, yet Brownian, diffusion.

Wang et al. [Proc. Natl. Acad. Sci. U.S.A. 106, 15160 (2009)] have found that in several systems the linear time dependence of the mean-square displacement (MSD) of diffusing colloidal particles, typical of normal diffusion, is accompanied by a non-Gaussian displacement distribution G(x,t), with roughly exponential tails at short times, a situation they termed “anomalous yet Brownian” diffusion...

متن کامل

Non-Gaussianity due to Possible Residual Foreground Signals in WMAP 1st-year Data Using Spherical Wavelet Approaches

We perform multi-scale non-Gaussianity detection and localization to the Wilkinson Microwave Anisotropy Probe (WMAP) 1st-year data in both wavelet and real spaces. Such an analysis is facilitated by spherical wavelet transform and inverse transform techniques developed by the YAWtb team. Skewness and kurtosis as test statistics are calculated on scales from about 1 to 30 on the sky as well as t...

متن کامل

Generalized Wiener Process and Kolmogorov’s Equation for Diffusion Induced by Non-gaussian Noise Source

We show that the increments of generalized Wiener process, useful to describe nonGaussian white noise sources, have the properties of infinitely divisible random processes. Using functional approach and the new correlation formula for non-Gaussian white noise we derive directly from Langevin equation, with such a random source, the Kolmogorov’s equation for Markovian non-Gaussian process. From ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Biophysical journal

دوره 112 3  شماره 

صفحات  -

تاریخ انتشار 2017