### 7.4 Fragmentation models for the energy transfer rate

Cascade models can be organized as a collection of fragments at a given scale , which results from the
fragmentation of structures at the scale , down to the dissipative scale (Novikov, 1969).
Sophisticated statistics are applied to obtain scaling exponents for the -th order structure
function.
The random- model (Benzi et al., 1984) can be derived by invoking that the space-filling factor
for the fragments at a given scale in the energy cascade is given by a random variable .
The probability of occurrence of a given is assumed to be a bimodal distribution where
the eddies fragmentation process generates either space-filling eddies with probability or
planar sheets with probability (for conservation ). It can be found that

where the free parameter can be fixed through a fit on the data.
The -model (Meneveau, 1991; Carbone, 1993) consists in an eddies fragmentation process described
by a two-scale Cantor set with equal partition intervals. An eddy at the scale , with an energy derived
from the transfer rate , breaks down into two eddies at the scale , with energies and
. The parameter is not defined by the model, but is fixed from the experimental
data. The model gives

In the model by She and Leveque (see, e.g., She and Leveque, 1994; Politano and
Pouquet, 1998) one assumes an infinite hierarchy for the moments of the energy transfer rates,
leading to , and a divergent scaling law for the infinite-order moment
, which describes the most singular structures within the flow. The model reads

The parameter is identified as the codimension of the most singular structures. In the
standard MHD case (Politano and Pouquet, 1995) , so that , that is, the most
singular dissipative structures are planar sheets. On the contrary, in fluid flows and the
most dissipative structures are filaments. The large behavior of the -model is given by
, so that Equations (40, 41) give the same results providing . As
shown by Carbone et al. (1996b) models are able to capture intermittency of fluctuations in
the solar wind. The agreement between the curves and normalized scaling exponents is
excellent, and this means that we realistically cannot discriminate between the models we reported
above.