نتایج جستجو برای: its exponent

تعداد نتایج: 1967054  

2006
K. R. Sreenivasan

We consider the telegraph approximation (TA) of turbulent signals by ignoring their amplitude variability and retaining only their ‘zero’-crossing information. We establish a unique relationship between the spectral exponent of a signal and that of its TA, whenever the signal possesses a Gaussian PDF and a spectral shape in which the highfrequency cut-off is sufficiently sharp. The velocity sig...

Journal: :IJAC 2008
Primoz Moravec

We find a bound for the exponent of the Schur multiplier of a finite p-group in terms of the exponent and Engel length of the given group. It is also proved that if G is a 3-Engel group of finite exponent, then the exponent of H2(G) divides exp G. When G is a 4-Engel group of exponent e, the exponent of H2(G) divides 10e.

Journal: :The Journal of experimental biology 2006
José Guilherme Chaui-Berlinck

The exponent of the scaling of metabolic rate with body mass has been the subject of debate for more than a century. The argument is at two levels, one concerning questions of empirical support for the exponent and the other, how to derive it theoretically. At this second level, the exponent is usually treated as the outcome of an underlying physical burden and approached as the search for a na...

Journal: :CoRR 2016
Balázs Gerencsér Vladimir V. Gusev Raphaël M. Jungers

A set of nonnegative matricesM = {M1,M2, . . . ,Mk} is called primitive if there exist indices i1, i2, . . . , im such that Mi1Mi2 . . .Mim is positive (i.e. has all its entries > 0). The length of the shortest such product is called the exponent ofM. The concept of primitive sets of matrices comes up in a number of problems within control theory, non-homogeneous Markov chains, automata theory ...

For many investors, it is important to predict the future trend of abnormal stock returns. Thus, in this research, the abnormal stock returns of the listed companies in Tehran Stock Exchange were tested since 2008- 2017 using three hypotheses. The first and second hypotheses examined the non-linearity and non-randomness of the abnormal stock returns ′ trend around the release date of annual fin...

2017
K. T. Arasu James A. Davis Jonathan Jedwab Siu Lun Ma Robert L. McFarland

Which groups G contain difference sets with the parameters (v, k, A.)= (q 3 + 2q 2 , q2 + q, q), where q is a power of a prime p? Constructions of K. Takeuchi, R.L. McFarland, and J.F. Dillon together yield difference sets with these parameters if G contains an elementary abelian group of order q2 in its center. A result of R.J. Turyn implies that if G is abelian and p is self-conjugate modulo ...

2009
Xiaowu Zhu Aimin Xiong Liangsheng Li Maoxin Liu X. S. Chen

The relation between the household electrical consumption Y and population N for Chinese cities in 2006 has been investigated with the power law scaling form Y = A0N β . It is found that the Chinese cities should be divided into three categories characterized by different scaling exponent β. The first category, which includes the biggest and coastal cities of China, has the scaling exponent β >...

Journal: :CoRR 2009
Bo Xiao Lian-dong Liu Xiao-chen Guo Ke Xu

To measure the IPv6 internet AS-level topology, a network topology discovery system, called Dolphin, was developed. By comparing the measurement result of Dolphin with that of CAIDA’s Scamper, it was found that the IPv6 Internet at AS level, similar to other complex networks, is also scale-free but the exponent of its degree distribution is 1.2, which is much smaller than that of the IPv4 Inter...

Journal: :Physical review. E, Statistical, nonlinear, and soft matter physics 2009
Yingjun Liu Yong Liu Kun Wang Tianzi Jiang Lihua Yang

Fractional Gaussian noise (fGn) is an important and widely used self-similar process, which is mainly parametrized by its Hurst exponent (H) . Many researchers have proposed methods for estimating the Hurst exponent of fGn. In this paper we put forward a modified periodogram method for estimating the Hurst exponent based on a refined approximation of the spectral density function. Generalizing ...

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