Acheron 2.0 Menu
Fast Track What's New in Acheron 2.0 Introduction to Fractals Overview of Acheron 2.0 Fractals Curves in Acheron 2.0 Von Koch Curve Mandelbrot Curve Hilbert Curve Cesaro Curve Heighway Curve Minkowski Curve Peano Curve Square Curve Construction Properties Variations Author Biography Sierpinski Curve Sierpinski Objects
Feedback about Acheron 2.0 Download Counters of Acheron 2.0 Support of Acheron 2.0 Safe Use of Acheron 2.0
Visitors Counter
11129 visitors (since Jan 2010)





All pictures are from Acheron 2.0,
a free explorer of geometrical fractals. You can download Acheron 2.0
here 
Acheron 2.0 Screen Overview

The Squares curve is a nice fractal curve, build using a recursive procedure. I saw
a sample of this curve in the wellknown book 'Algorithms in C' written by Robert Sedgewick (AddisonWesley Publ.
ISBN 0201514257). It was not named from its inventor so I call it the Squares Curve. As almost all the geometric
fractal curves, this curve shares the fascinating property of having an infinite curve length
in a finite area.

Construction
The starting point of the recursive method for drawing the Squares curve is
a simple square.
Use the four corners of the square as the center of 4 smallers squares,
each having half the size of the main square. The first iteration gives:
The same procedure gives already a nice picture at the second iteration:
Properties Back to Top
 Curve Length
The following reasoning concerns the curve for which only the outline is drawn.
This gives a close curve with an univocal perimeter.
Take the initial square and name N the length of its side. The
perimeter of the 'curve' is N * 4.
On the first iteration, the four corners are replaced by four smaller
squares. So, the length of the curve is now equal to the sum of the segments
common between recursion 0 (initial square) and recursion 1 plus the length
of the newly added segments. The total length of the two segments removed at
each corner is N/2, so the total removed is (N/2) * 4. The total length of the
segments making the smaller squares is N/2 * 3 and 4 are added, one on each
corner. Looking only at the added segments, the length increase is:
L_{inc} = (N/2)*3*4  (N/2)*4 = (N/2)*8
On the second iteration, the four small squares added at the first
iteration will be replaced by four smaller squares. Here, the length of the
segments removed on each square corner is equal to N/4 and the length of the
smaller squares added is equal to (N/4) * 3. Looking only at the added segments,
the length increase is:
L_{inc} = (N/4)*3*3*4  (N/4)*3*4 = (N/4)*24
The formula for the length increase can be generalized as:
L_{inc} = (N/2^{Rec}) * 8 * 3^{(Rec  1)}
where Rec is the iteration number (starting at 0)
Here is a summary of the length increase and total length of the curve.
v
Iteration Number  Length Increase  Total Length 
0  ...  ...  N * 4 
1  (N/2) * 8  N * 4  N * 8 
2  (N/4) * 24  N * 6  N * 14 
3  (N/8) * 72  N * 9  N * 23 
4  (N/16) * 216  N * 13.5  N * 36.5 
5  (N/32) * 648  N * 20.25  N * 56.75 
The Ratio of the length increase between two successive iterations is:
Ratio = ((N/2^{(Rec+1)}) * 8 * 3^{Rec}) / ((N/2^{Rec}) * 8 * 3^{(Rec1)})
Solving the equation gives Ratio_{inc} = 1.5, demonstrating what
is quite obvious from the figures in the above table.
The formula of the length increase can then be generalized to:
L_{inc} = N * 4 * r^{Rec1} where r = 1.5
The total length of the curve is equal to the original length plus the
sum of all the length increases.
Using the following identitiy,
1 + x + x^{2} + x^{3} + ... + x^{n} = (x^{n+1}  1) / (x  1)
the total length can be generalized:
L_{Tot} = N * (( r^{Rec} * 8)  4)
Graphically, it gives a nice view of the ever increasing length:
 Area
Take the initial square and name N the length of its side. The
area of the 'curve' is noted N2. Using a reasoning analogous to the one
followed for the determination of the curve length, the formula for the curve
area is obtained.
The area increase at each iteration can be generalized as:
Area_{inc} = (4 * 3^{Rec}) / 4^{Rec+1}
Solving for the Ratio of the area increase between two successive
iterations gives: Ratio = r^{Rec} where r = 0.75
The total area of the curve can then be expressed as:
Area^{Tot} = N2 + ( 1 + r^{Rec} + r^{(Rec+1)} + .. r^{(Rec+n)})
Using the following identitiy,
1 + x + x^{2} + x^{3} + ... + x^{n} = (x^{n+1}  1) / (x  1)
the total area can be generalized:
Area^{Tot} = N2 * 4 * ( 1  r^{Rec+1})
As r^{Rec+1} tends to Zero when iteration increases, the area tends
to 4 times its original value.
Graphically, it gives a nice view of the finite area:
 Fractal Dimension
The fractal dimension is computed using the
BoxCouting Method equation:
D = log (N) / log ( r)
The following picture helps finding the figures required by the formula:
Replacing r by 14 ( as the grid is 14 * 14) and N by 148 ( the number of
small squares covered by the fractal curve) in the
the BoxCounting equation gives:
D = log(148) / log(14) = 1.89356
 SelfSimilarity
Looking at two successive iterations of the drawing process provides graphical
evidence that this property is also shared by this curve.
Variations Back to Top
All Variations described are available using Acheron 2.0
 Iteration Level
Eight recursion levels are available. Above this iteration number, the overall
aspect of the curve remains essentially unaffected.
 Curve Style
Three ways for rendering the curve are available:
Author Biography Back to Top




