The problem of inverse statistics (statistics of distances for which the signal fluctuations are larger than a certain threshold) in differentiable signals with power law spectrum, E(k)∼k-α, 3≤α<5, is discussed. We show that for these signals, with random phases, exit-distance moments follow a bifractal distribution. We also investigate two dimensional turbulent flows in the direct cascade regime, which display a more complex behavior. We give numerical evidences that the inverse statistics of 2D turbulent flows is described by a multifractal probability distribution; i.e., the statistics of laminar events is not simply captured by the exponent α characterizing the spectrum.
Описание
Phys. Rev. Lett. 87 (2001): L. Biferale, M. Cencini, A. Lanotte, D. Vergni, and A. Vulpiani - Inverse Statistics of Smooth...
%0 Journal Article
%1 PhysRevLett.87.124501
%A Biferale, L.
%A Cencini, M.
%A Lanotte, A.
%A Vergni, D.
%A Vulpiani, A.
%D 2001
%I American Physical Society
%J Phys. Rev. Lett.
%K cascade cencini entrophy exit-distance exit-time multifractal turbulence
%N 12
%P 124501
%R 10.1103/PhysRevLett.87.124501
%T Inverse Statistics of Smooth Signals: The Case of Two Dimensional Turbulence
%V 87
%X The problem of inverse statistics (statistics of distances for which the signal fluctuations are larger than a certain threshold) in differentiable signals with power law spectrum, E(k)∼k-α, 3≤α<5, is discussed. We show that for these signals, with random phases, exit-distance moments follow a bifractal distribution. We also investigate two dimensional turbulent flows in the direct cascade regime, which display a more complex behavior. We give numerical evidences that the inverse statistics of 2D turbulent flows is described by a multifractal probability distribution; i.e., the statistics of laminar events is not simply captured by the exponent α characterizing the spectrum.
@article{PhysRevLett.87.124501,
abstract = {The problem of inverse statistics (statistics of distances for which the signal fluctuations are larger than a certain threshold) in differentiable signals with power law spectrum, E(k)∼k-α, 3≤α<5, is discussed. We show that for these signals, with random phases, exit-distance moments follow a bifractal distribution. We also investigate two dimensional turbulent flows in the direct cascade regime, which display a more complex behavior. We give numerical evidences that the inverse statistics of 2D turbulent flows is described by a multifractal probability distribution; i.e., the statistics of laminar events is not simply captured by the exponent α characterizing the spectrum.},
added-at = {2007-10-05T00:34:21.000+0200},
author = {Biferale, L. and Cencini, M. and Lanotte, A. and Vergni, D. and Vulpiani, A.},
biburl = {https://www.bibsonomy.org/bibtex/2de956a1f9ef06a2f03b13785ced63cc3/mcencini},
description = {Phys. Rev. Lett. 87 (2001): L. Biferale, M. Cencini, A. Lanotte, D. Vergni, and A. Vulpiani - Inverse Statistics of Smooth...},
doi = {10.1103/PhysRevLett.87.124501},
interhash = {e6c496fb6e7675b69f29eec45869ed59},
intrahash = {de956a1f9ef06a2f03b13785ced63cc3},
journal = {Phys. Rev. Lett.},
keywords = {cascade cencini entrophy exit-distance exit-time multifractal turbulence},
month = Aug,
number = 12,
numpages = {4},
pages = 124501,
publisher = {American Physical Society},
timestamp = {2007-10-05T00:47:00.000+0200},
title = {Inverse Statistics of Smooth Signals: The Case of Two Dimensional Turbulence},
volume = 87,
year = 2001
}