  We study the interplay of clumping at small scales with the collapse and
relaxation of perturbations at larger scales using N-Body simulations. We
quantify the effect of collapsed haloes on perturbations at larger scales using
two point correlation function, moments of counts in cells and mass function.
The purpose of the study is twofold and the primary aim is to quantify the role
played by collapsed low mass haloes in the evolution of perturbations at large
scales, this is in view of the strong effect seen when the large scale
perturbation is highly symmetric. Another reason for this study is to ask
whether features or a cutoff in the initial power spectrum can be detected
using measures of clustering at scales that are already non-linear. The final
aim is to understand the effect of ignoring perturbations at scales smaller
than the resolution of N-Body simulations. We find that these effects are
ignorable if the scale of non-linearity is larger than the average
inter-particle separation in simulations. Features in in the initial power
spectrum can be detected easily if the scale of these features is in the linear
regime, detecting such features becomes difficult as the relevant scales become
non-linear. We find no effect of features in initial power spectra at small
scales on the evolved power spectra at large scales. We may conclude that in
general, the effect on evolution of perturbations at large scales of clumping
on small scales is very small and may be ignored in most situations.
