Counting Function Fluctuations and Extreme Value Threshold in Multifractal Patterns: The Case Study of an Ideal 1/f Noise
Counting Function Fluctuations and Extreme Value Threshold in Multifractal Patterns: The Case Study of an Ideal 1/f Noise
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计算多重分形模式中的函数波动和极值阈值:理想 1/f 噪声的案例研究
DOI:
10.1007/s10955-012-0623-6
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发表时间:
2012
影响因子:
1.6
通讯作者:
Fyodorov Y
中科院分区:
文献类型:
--
作者:
Fyodorov Y
Motivated by the general problem of studying sample-to-sample fluctuations in disorder-generated multifractal patterns we attempt to investigate analytically as well as numerically the statistics of high values of the simplest model—the ideal periodic 1/fGaussian noise. Our main object of interest is the number of pointsabove a level, withVm=2lnMstanding for the leading-order typical value of the absolute maximum for the sample ofMpoints. By employing the thermodynamic formalism we predict the characteristic scale and the precise scaling form of the distribution offor 0<x<2. We demonstrate that the powerlaw forward tail of the probability density, with exponent controlled by the levelx, results in an important difference between the mean and the typical values of. This can be further used to determine the typical thresholdxmof extreme values in the pattern which turns out to be given bywith. Such observation provides a rather compelling explanation of the mechanism behind universality ofc. Revealed mechanisms are conjectured to retain their qualitative validity for a broad class of disorder-generated multifractal fields. In particular, we predict that the typical value of the maximumpmaxof intensity is to be given by $-\ln p_{\mathit{max}}=\alpha_{-}\ln M +\frac{3}{2f'(\alpha_{-})}\ln\ln M+O(1)$, wheref(α) is the corresponding singularity spectrum positive in the intervalα∈(α−,α+) and vanishing atα=α−>0. For the 1/fnoise case we further study asymptotic values of the prefactors in scaling laws for the moments of the counting function. Our numerics shows however that one needs prohibitively large sample sizes to reach such asymptotics even with a moderate precision. This motivates us to derive exact as well as well-controlled approximate formulas for the mean and the variance of the counting function without recourse to the thermodynamic formalism.
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DOI:
--
发表时间:
2010
期刊:
影响因子:
--
作者:
A. N. Pal;A. Bol;A. Ghosh
通讯作者:
A. Ghosh
DOI:
--
发表时间:
2009
期刊:
影响因子:
--
作者:
Kari Astala;Peter W. Jones;A. Kupiainen;E. Saksman
通讯作者:
E. Saksman
DOI:
--
发表时间:
2011
期刊:
影响因子:
--
作者:
D. Saakian;A. Martirosyan;Chin;Z. Struzik
通讯作者:
Z. Struzik
DOI:
10.1209/0295-5075/90/60004
发表时间:
2010
期刊:
EPL (Europhysics Letters)
影响因子:
--
作者:
Y. Fyodorov;P. Doussal;Alberto Rosso
通讯作者:
Alberto Rosso
DOI:
--
发表时间:
2005
期刊:
影响因子:
--
作者:
H. Touchette;C. Beck
通讯作者:
C. Beck