FIG. 4: The figure shows the distribution of the distances of recurrences for the different magnitude thresholds. The panel marked ( a ) is for the actual catalog and the one marked ( b ) for the shuffled catalog. The black points in both the plots represent a smaller catalog(1986 -1992) with m th = 3.0. For the actual catalog, the size of the catalog does not affect the position of the peak as seen in the peak positions of the green and black points. However, for the shuffled catalog, the distance distribution varies with size of the catalog. The inset shows the data collapse achieved by rescaling the distances and the distributions according to eqn. 1. The red line in the inset represents the pre-factor L o in the scaling law for the rupture length given by l $^{∗}$( m ) = L o × 10 0 . 41 m th , where L o = 0.066 km for the inset data collapse in Fig. 4(a). The data collapse obeys the relation where L$_{o}$ = 0 . 066. The distance distributions for the shuffled catalog in Fig. 4(b) shows the same overall shape as for the actual catalog. We also find that the peaks shift to higher values of l as m$_{th}$ increases. However, one important variation observed here was that the position of the peak is not independant of N . This striking and important feature was 8 l $^{∗}$( m ) = L$_{o}$ × 10 0 . 41 m th (2) P $^{m}$( l ) ≈ l − 1 . $^{2}$F ( l/ 10 0 . 41 m th ) (1) 10 -7 10 -6 10 -5 10 -4 10 -3 10 -2 10 -1 10 -1 10 0 10 1 10 2 10 3 10 4 log P m (l) log l km (a) 2.5 3.0 3.5 4.0 4.5 -1992 -6 -4 -2 0 -3 -1 1 3 log F(l/10 0.41 m ) log (10 0.41 $^{m}$) 10 -7 10 -6 10 -5 10 -4 10 -3 10 -2 10 -1 10 -1 10 0 10 1 10 2 10 3 10 4 log P m (l) log l km (b) 2.5 3.0 3.5 4.0 4.5 -1992 -6 -4 -2 0 -3 -1 1 3 log F(l/10 0.41 m ) log (10 0.41 $^{m}$) The scaling function F has two regimes– a power law increase with an exponent ≈ 1 . 8 for small arguments and a constant regime at larger arguments. The characteristic distance of the peaks can be written as