To evaluate the moments of vorticity fluctuations
it is necessary to perform an average over the statistics
of forcing which generates the fluctuations,
and over exit-times statistics:
Since the velocity field is smooth, two-dimensional and incompressible,
particles separate exponentially fast and the statistics of exit-times
can be replaced by the statistics of finite time Lyapunov exponents,
which measure the growth rate of the logarithm of the distance between
two particle during a time $t$. The finite-time Lyapunov exponent
and exit-times are thus related in a smooth flow by the condition:
We remark that this relation does not hold in the case of non-smooth flows, where the relative dispersion follows a power law [40]. In this case the growth of the distance $\ell $ between two trajectories is dominated by the structure of the flow at the same scale. The scaling law for the intensity of the eddies of size $\ell $ characterized by the Hölder exponent of the rough velocity field, gives origin to a power law for particle separation. Thus the exit-time [画像:$T_L(r)$] value is dominated by the eddy at large scale $L$ and is almost independent from the small initial separation $r$.
Replacing the average over the statistics of exit-times with
the statistics of finite-time Lyapunov exponents, and using
the asymptotic behavior for the distribution
[画像:$P(\gamma,t) \sim t^{1/2} \exp[-S(\gamma) t]$] (see Section (2.4)), one gets
the following estimate for moments of vorticity fluctuations
The scaling exponents are evaluated from Eq. (2.31)
by a steepest descent argument as:
In the range
0ドル< \zeta^{\omega}_2 < 2$ the scaling
exponent of the second order structure function for vorticity
is related to the spectral slope of vorticity power spectrum