deletions | additions       diff --git a/Payam.tex b/Payam.tex  index 9eb2ed6..a806785 100644  --- a/Payam.tex  +++ b/Payam.tex 
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\item In \citet{2013PhRvE..87d2723R} page 5, it is claimed that motion will be a superposition of longitudinal and transverse. Is this true -- won't one of them be unstable (in the case where work done in dragging is less than $T$, say)?  \item In \citet{2013PhRvE..87d2723R} page 5, second column, Payam uses dimensional analysis to justify a steady state approximation used in the paper: the time taken to establish the fluid velocity profile around a section of DNA must be much shorter than the time taken the DNA to move its own length.\\   I want to try to do a better job than Payam's scaling argument: what are the coefficients in the ``$\# \ll 1$'' relationship? This might be interesting because of a problem acknowledged in Payam's other paper: that his predictions do not fit the experimental data. length.  %  \begin{itemize}  \item I want to try to do a better job than Payam's scaling argument: what are the coefficients in the ``$\# \ll 1$'' relationship? This might be interesting because of a problem acknowledged in Payam's other paper: that his predictions do not fit the experimental data.     \item Is there a mistake in the dimensional analysis? I  think $t_{\rm h}\sim \ell/c_{\rm s}$ on physical grounds, but Payam says $t_{\rm h}\sim \ell^2\rho/\eta$ from dimensional analysis. Are these compatible? %  \begin{itemize}  \item No! They are measuring different things. Payam's $t_{\rm h}$ is considering the diffusion of momentum information about a particle (I think this is the characteristic time in the decay of the velocity autocorrelation). My $t_{\rm h}$ is about pure information flow.