26 research outputs found
Minimizing the effect of sinusoidal trends in detrended fluctuation analysis
The detrended fluctuation analysis (DFA) [Peng et al., 1994] and its
extensions (MF-DFA) [Kantelhardt et al., 2002] have been used extensively to
determine possible long-range correlations in self-affine signals. While the
DFA has been claimed to be a superior technique, recent reports have indicated
its susceptibility to trends in the data. In this report, a smoothing filter is
proposed to minimize the effect of sinusoidal trends and distortion in the
log-log plots obtained by DFA and MF-DFA techniques
Scale invariant correlations and the distribution of prime numbers
Negative correlations in the distribution of prime numbers are found to
display a scale invariance. This occurs in conjunction with a nonstationary
behavior. We compare the prime number series to a type of fractional Brownian
motion which incorporates both the scale invariance and the nonstationary
behavior. Interesting discrepancies remain. The scale invariance also appears
to imply the Riemann hypothesis and we study the use of the former as a test of
the latter.Comment: 13 pages, 8 figures, version to appear in J. Phys.
Cross-correlation of long-range correlated series
A method for estimating the cross-correlation of long-range
correlated series and , at varying lags and scales , is
proposed. For fractional Brownian motions with Hurst exponents and ,
the asymptotic expression of depends only on the lag
(wide-sense stationarity) and scales as a power of with exponent
for . The method is illustrated on (i) financial series,
to show the leverage effect; (ii) genomic sequences, to estimate the
correlations between structural parameters along the chromosomes.Comment: 14 pages, 8 figure
Improving the sampling efficiency of Monte Carlo molecular simulations: an evolutionary approach
Continuously Sheared Granular Matter Reproduces in Detail Seismicity Laws
International audienceWe introduce a shear experiment that quantitatively reproduces the main laws of seismicity. By continuously and slowly shearing a compressed monolayer of disks in a ringlike geometry, our system delivers events of frictional failures with energies following a Gutenberg-Richter law. Moreover, foreshocks and aftershocks are described by Omori laws and interevent times also follow exactly the same distribution as real earthquakes, showing the existence of memory of past events. Other features of real earthquakes qualitatively reproduced in our system are both the existence of a quiescence preceding some main shocks, as well as magnitude correlations linked to large quakes. The key ingredient of the dynamics is the nature of the force network, governing the distribution of frictional thresholds
The covariance structure of multifractional Brownian motion with application to long range dependence
SIGLEAvailable from INIST (FR), Document Supply Service, under shelf-number : 22522, issue : a.2000 n.9 / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc