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Scaling exponents and exit-time statistics

The actual values of the scaling exponents can be directly extracted from the statistics of the passive scalar, which is not spoiled by large-scale objects. In Figure 2.8 we plot the exponents $\zeta ^{\theta }_p$ as obtained by looking at the local slopes of the structure functions $S_{p}^{\theta}(r)$, in comparison with the exponents predicted by the Lagrangian exit-time statistics, according to

\begin{displaymath}
\langle \exp[-\alpha p T_L(r)] \rangle \sim r^{\zeta_p}
\end{displaymath} (2.38)

Figure 2.8: The scaling exponents of the passive scalar $\zeta ^{\theta }_p$ ($+$). We also show the exponents obtained from the exit times statistics ($\odot $) according to $\langle \exp[-\alpha p T_L(r)] \rangle \sim r^{\zeta_p^{\theta}}$ with average over about $2 \times 10^{5}$ couple of Lagrangian particles. The error-bars are estimated by the r.m.s. fluctuation of the local slope.
\includegraphics[draft=false,scale=0.8]{F_esponenti.eps}

The exit-time statistics has been obtained with the following procedure:

Exit-times $T_L(r_i)$ provide an excellent tool for estimating the scaling exponent of the field. Since the thresholds can be chosen exactly within the inertial range, the scaling of Lagrangian structure function $\langle \exp[-\alpha p T_L(r)] \rangle \sim r^{\zeta_p}$ is not spoiled by contamination of the viscous range, and the excellent scaling allows for a precise measurement of the scaling exponents, which are in good agreement with those directly observed from the structure function of the passive field. Moreover, while the finite-time Lyapunov exponents are achievable only in numerical simulations, the measure of exit-times can be performed also in experiments by means of couple of Lagrangian tracers.

From the exit-time statistics it is also possible to recover the right tail of the Cramér function $S(\gamma )$ as the inverse Legendre transform [41] of the scaling exponents $\zeta_p$:

\begin{displaymath}
\zeta_p = \min_{\gamma}
\left\{ p,[p \alpha + S(\gamma)]/\gamma \right\} \;.
\end{displaymath} (2.40)

which perfectly matches the Cramér function directly measured from the statistics of finite-time Lyapunov exponents (see Figure 2.9).
Figure 2.9: The Cramér function $S(\gamma )$ computed from finite time Lyapunov exponents (symbols) and exit-time statistics (line).
\includegraphics[draft=false,scale=0.8]{F_esse.eps}


next up previous contents
Next: Summary Up: Numerical results Previous: Vorticity vs. passive scalar   Contents
Stefano Musacchio 2004-01-09