2014
DOI: 10.1016/j.apm.2014.01.012
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Double power laws, fractals and self-similarity

Abstract: a b s t r a c tPower law (PL) distributions have been largely reported in the modeling of distinct real phenomena and have been associated with fractal structures and self-similar systems.In this paper, we analyze real data that follows a PL and a double PL behavior and verify the relation between the PL coefficient and the capacity dimension of known fractals. It is to be proved a method that translates PLs coefficients into capacity dimension of fractals of any real data.

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Cited by 23 publications
(12 citation statements)
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“…Later, Katul et al 27 also observed the same, when they investigated the persistence PDFs of the burst events in the sensible heat flux in a convective surface layer. Pinto, Lopes, and Tenreiro Machado 28 showed that the double power-law feature in a distribution function is related to the presence of two sets of fractals with two different fractal dimensions associated with two different scale-free processes. However, Narasimha et al 29 found that the persistence PDFs of the momentum flux events in a near-neutral surface layer followed an exponential distribution, suggestive of a Poisson type process.…”
Section: Introductionmentioning
confidence: 99%
“…Later, Katul et al 27 also observed the same, when they investigated the persistence PDFs of the burst events in the sensible heat flux in a convective surface layer. Pinto, Lopes, and Tenreiro Machado 28 showed that the double power-law feature in a distribution function is related to the presence of two sets of fractals with two different fractal dimensions associated with two different scale-free processes. However, Narasimha et al 29 found that the persistence PDFs of the momentum flux events in a near-neutral surface layer followed an exponential distribution, suggestive of a Poisson type process.…”
Section: Introductionmentioning
confidence: 99%
“…In this work we refer to the general shapes of power-law distributions in Figure 1 as single untruncated ( Figure 1A) or truncated ( Figure 1B) power-law distributions, and as double power-law distributions with a positive kink ( Figure 1C) or a negative kink ( Figure 1D). In Earth sciences, double power-law distributions have been shown to describe phenomena such as the severity of tornadoes in the United States (Pinto et al, 2014), the size of FIGURE 1 | Simplified sketch of the different leucosome width distribution types. (A) In migmatites showing this leucosome distribution pattern, leucosome widths follow a single untruncated power-law distribution.…”
Section: Introductionmentioning
confidence: 99%
“…forest fires in Portugal (Pinto et al, 2014), the daily flow above the annual flow in some hydrological systems (Segura and Pitlick, 2010;Segura et al, 2013), and the seismic moment of global earthquakes (Corral and González, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…Self-similarity is related to the concept of scale invariance, which is mathematically described by power-law (PL) distributions [47,49,61]. Scale invariance has a statistical meaning, whereas self-similarity is a geometric concept [50]. The fractal dimension is a measure of how much the fractal fills the space as we zoom from larger to smaller scales, for which there are several definitions and, in general, do not coincide [10,21,57].…”
Section: Brief Description Of the Datasetmentioning
confidence: 99%
“…Geometric self-similarity is ubiquitous in nature. In fact, many objects can be regarded as natural fractals, namely clouds, coastlines, snowflakes, crystals, blood veins and trees [45,50]. Fractals are usually characterized by statistical indices that measure the geometric complexity of an object, i.e., how the detail in a pattern changes with the scale and reach collective goals, in order to bring change to status quo situations they hate [48].…”
Section: Fractal Dimension Evolution Of Global Terrorismmentioning
confidence: 99%