One way of verifying dynamic scaling is to plot dimensionless variables f / t θ θ as a function of x / t z of the data extracted at various different time. Then if all the plots of f vs x obtained at different times collapse onto a single universal curve then it is said that the systems at different time are similar and it obeys dynamic scaling. The idea of data collapse is deeply rooted to the Buckingham Pi theorem. Essentially such systems can be termed as temporal self-similarity since the same system is similar at different times.