Lyapunov Exponent of iterates. Red indicates a large positive (divergent) exponent, moving through yellow, green and blue to black, which indicates a small or negative (attractive) exponent.
Lyapunov Exponent of iterates, this time showing the attractive strength. Red shows regions of strong attraction. Note that it appears that some of the attractors lie outside the Mandelbrot set.
Hausdorf measure at very high iterations ... allowed to iterate a far, far longer time. Note that some of the "fuzz" goes away.
Average age. That is, cycle count at which pixel was hit were accumulated, and then normalized by the measure at that pixel.
Mean square deviation in the "age". Note how different details are
highlighted.
Third moment of the "age". Further details not appearent in the measure or the Lyapunpov exponents become visible.
Fourth moment of the "age". Further details not appearent in the measure or the Lyapunpov exponents become visible.
Hausdorff measure, revisited. The iterated equation is still z = z*z +C, except that in this picture, we show the visited areas relative to C (i.e. we subtract C from z prior to plotting). Note that the circle (red dot) is centered about the origin. The origin is offset to show the large lobe to the right.
Lyapunov exponenet. All non-black regions are replusive, with red representing the most strong repulsive regions.
Square distance between iterations; i.e (x-xlast)^2 + (y-ylast)^2 acumulated and normalized.
Gaussian edge filter applied to above.
Average orientation (angle) of jump, where a "jump" is the vector from the last to the current location. That is, phi = arctan ((y-ylast)/(x-xlast)) accumualted and normalized.
Cosine of angle between current jump and last jump. The colormap used shows black = 0.0 (angle=90), red=1.0 (angle = 0). This is a very nice spirit-catcher, on it's side.
A different colormap brings out different detail.
Average X origin. The is, each pixel shows the average value of the real part of C where z = z^2+C.
Average Y origin. The is, each pixel shows the average value of the imaginary part of C where z = z^2+C.
Edge detection applied to average X origin.
Edge detection applied to average Y origin.
Curl (dxY - dyX) of the average origin (X, Y). Curiously, the Divergence (dxX + dyY) looks qualitatively similar.
Curl, as above, but with slightly different colormap.
Divergence. Note qualitative similarities, and subtle differences (which help reveal some of the minute artifacts in the other images).
Splat. Just a splat. Note the spiral structure, bottom center. How to clean this up ??
Origins -- X. That is, each point is colored with the real part of C where z = z^2 + C. Unlike the average origins image above, this is done with a "last point wins" coloring.
Fine origins -- X. As above, but different colormap.
The first image was created in 1988, as were variations on some of the others. All electronic copies were lost, with only polaroids and proof sheets surviving. New electronic copies were recreated in 1996 for this web exhibit.
Copyright (c) 1988, 1990, 1996 Linas Vepstas