Larry Riddle, Agnes Scott College

Start with a solid (filled) equilateral triangle
**S(0)**. Divide this into four smaller equilateral
triangles using the midpoints of the three sides of the
original triangle as the new vertices. Remove the interior
of the middle triangle (that is, do not remove the boundary)
to get **S(1)**. Now repeat this procedure on each of the
three remaining solid equilateral triangles to obtain
**S(2)**.

Continue to repeat the construction to obtain a decreasing sequence of sets

$$ S(0) \supset S(1) \supset S(2) \supset S(3) \supset \cdots $$

The Sierpinski gasket, also known as the Sierpinski triangle, is the intersection of all the sets in this sequence, that is, the set of points that remain after this construction is repeated infinitely often.

Function

System

IFS

Animation

The set **S(1)** can also be obtained by scaling three copies
of **S(0)** each by a factor of **r**=1/2 and then translating
two of the smaller triangles to form the desired arrangement. If we
imagine the bottom side of **S(0)** to lie along the x-axis with
the vertices at the origin and at the point (1,0), then two of the
scaled triangles would have to be translated so that the lower left
vertices are at (1/2, 0) and \((1/4, \sqrt 3 /4)\) respectively. This
yields the following iterated function system.

\({f_1}({\bf{x}}) = \left[ {\begin{array}{*{20}{c}}
{1/2} & 0 \\
0 & {1/2} \\
\end{array}} \right]{\bf{x}}\) |
scale by r |

\({f_2}({\bf{x}}) = \left[ {\begin{array}{*{20}{c}}
{1/2} & 0 \\
0 & {1/2} \\
\end{array}} \right]{\bf{x}} + \left[ {\begin{array}{*{20}{c}}
{1/2} \\
0 \\
\end{array}} \right]\) |
scale by r |

\({f_3}({\bf{x}}) = \left[ {\begin{array}{*{20}{c}} {1/2} & 0 \\ 0 & {1/2} \\ \end{array}} \right]{\bf{x}} + \left[ {\begin{array}{*{20}{c}} {1/4} \\ {\sqrt{3}/4} \\ \end{array}} \right]\) | scale by r |

IFS

Animation

3 different

initial sets

IFS

Animation

Sierpinski

converges to

his own triangle!

IFS

Animation

Circumscribed

Circles

If you apply the IFS to **S(1)**, you will get **S(2)**. Apply it to **S(2)** to get **S(3)**, and continue to do this indefinitely. The Sierpinski gasket is the attractor for this IFS. This means that if you apply the iterated function system repeatedly beginning with any initial compact set (such as **S(0)**), then the resulting images will converge to the Sierpinski gasket, and applying the IFS to the Sierpinski gasket itself will just reproduce the same image. To see some examples of this behavior, view the IFS animation with three different initial sets. You can even make Sierpinski himself converge to his own gasket!

Because of the rotational symmetry of an equilateral triangle,
there is second iterated function system that has the Sierpinski
gasket as its attractor. In addition to scaling by a factor of
**r**=1/2, rotate two of the triangles by 120° and
-120°, then translate.

This yields the IFS given by

\({f_1}({\bf{x}}) = \left[ {\begin{array}{*{20}{c}}
{ - 1/4} & {\sqrt{3}/4} \\
{ - \sqrt{3}/4} & { - 1/4} \\
\end{array}} \right]{\bf{x}} + \left[ {\begin{array}{*{20}{c}}
{1/4} \\
{\sqrt{3}/4} \\
\end{array}} \right]\) |
scale by r, rotate by −120° |

\({f_2}({\bf{x}}) = \left[ {\begin{array}{*{20}{c}}
{ 1/2} & {0} \\
{ 0} & { 1/2} \\
\end{array}} \right]{\bf{x}} + \left[ {\begin{array}{*{20}{c}}
{1/4} \\
{\sqrt{3}/4} \\
\end{array}} \right]\) |
scale by r |

\({f_3}({\bf{x}}) = \left[ {\begin{array}{*{20}{c}} { - 1/4} & {- \sqrt{3}/4} \\ { \sqrt{3}/4} & { - 1/4} \\ \end{array}} \right]{\bf{x}} + \left[ {\begin{array}{*{20}{c}} {1} \\ {0} \\ \end{array}} \right]\) | scale by r, rotate by 120° |

Zoom

Animation

The Sierpinski gasket consists of three self-similar pieces corresponding to the three functions in the iterated function system. If you zoom in on different parts of the gasket, you will see the same basic shape reappearing no matter how far in you zoom. Try the animation to see this effect.

Angle 120

Axiom F

F —> F+F−F−F+F

Axiom F

F —> F+F−F−F+F

L-System

Animation

Suppose we started with just the axiom F, that is, just one side of the triangle. The first iteration generated by the rule given above would be the following

We can see how the rule generates the boundary of the removed inside triangle. Repeated iterations will form more of the interior triangles but will leave out the other two sides of the main triangle. Using the axiom F+F+F will form the boundary of the original equilateral triangle, but will trace the inside triangles three times.

L-System

Animation

Another L-system that generates Sierpinski's gasket is given by

Angle 60

Axiom FX

F —> Z

X —> +FY-FX-FY+

Y —> -FX+FY+FX-

This a bit different in that each curve never intersects with itself as with the first L-system. As such, this construction illustrates that the Sierpinski gasket is actually a plane curve. It corresponds to the second of the iterated function systems given above.

Dimension

The Sierpinski gasket is self-similar with 3 non-overlapping copies of itself, each scaled by the factor
**r** < 1. Therefore the similarity dimension, **d**,
of the attractor of the IFS is the solution to

$$\sum\limits_{k = 1}^3 {{r^d}} = 1\quad \Rightarrow \quad d = \frac{{\log (1/3)}}{{\log (r)}} = \frac{{\log (1/3)}}{{\log (1/2)}} = \frac{{\log (3)}}{{\log (2)}} = 1.58496$$

Properties

The Sierpinski gasket is also referred to as the Sierpinski
triangle or as the Sierpinski triangle curve. It apparently was Mandelbrot
who first gave it the name "Sierpinski's gasket." Sierpinski described the
construction to give an example of "a curve simultaneously Cantorian and
Jordanian, of which every point is a point of ramification." Basically,
this means that it is a curve that crosses itself at every point.
See the articles [3] and [14] for a good discussion of the origin of the
Sierpinski triangle curve.

The following figure shows six Sierpinski gaskets put together in a hexagonal shape. This "curve" also has some interesting topological properties that Sierpinski discussed in his 1915 and 1916 papers. Also see reference [3].

We remove "all" of the area of the initial triangle in constructing the Sierpinski gasket. But of course there are many points still left in the gasket.

- Area calculations
- What points are in the Sierpinski gasket? An exercise in binary numbers.

What is the average distance between two points in a unit Sierpinski gasket? The answer is 466 / 885 = 0.52655. Ian Stewart [16] credits this result to Andreas Hinz and describes how the use of graph theory to analyze the n-disk Tower of Hanoi puzzle can be used to calculate this average distance.

An interesting connection also exists between Pascal's Triangle and the Sierpinski Gasket. There's even some applications to electric circuits!

Could the Sierpinski gasket have captured the imagination of neolithic people in Ireland 5000 years ago? Look at these images and decide for yourself. A 2011 article in the Journal of Applied Mathematics illustrates designs from 11th century Rome churches that are similar to Sierpinski gaskets. Snow artist Simon Beck created a Sierpinski triangle pattern in snow with snowshoes. This is also the February image for the 2013 Calendar of Mathematical Imagery from the American Mathematical Society.

There are many posssible variations on the construction of the
Sierpinski gasket, both from the geometric point of view of "removing"
sections and the IFS point of view of scaling, rotating, and translating.
#### Sierpinski Pedal Triangle

#### Fat Sierpinski Gasket

#### Rotating Sierpinski Gasket

#### Sierpinski Relatives

#### Triangle Fractals

#### Cascading Sierpinski Triangles

The pedal triangle of an acute triangle **T** is the triangle formed by the three points that lie at the feet of the three altitudes of **T**, i.e. from each vertex drop a perpendicular to the opposite side until it intersects with that side. The pedal triangle divides the original triangle into four smaller triangles. Remove the interior of the pedal triangle, then repeat the construction on the remaining three triangles.

The Sierspinski gasket is formed by scaling an equilateral triangle by the factor **r**= 1/2. Instead of using this scaling factor, however, we can scale the equilateral triangle by a number λ between 0 and 1, make three copies, then translate them to fit back within the original triangle.

Allow the top triangle to rotate around its center. Each rotation produces a different iterated function system with a different attractor. Click on the link above to see an animation of how that changes the Sierpinski gasket.

The Sierpinski gasket can also be constructed by starting with a square that is subdivided into four equal subsquares, then removing the upper right subsquare. By performing one of the 8 symmetry transformations of a square on each of the three remaining subsquares during each step of the iteration, many variations of the Sierpinski gasket can be obtained. Click on the link above for more details and examples of such fractals (such as the one below).

Perform the usual construction for the Sierpinski gasket, but rather than remove the middle triangle, remove the top triangle. The remaining three triangles may be rotated by 120° or 240°, or reflected across one of the altitudes, to form variations on the Sierpinski gasket. Click on the link above for more details and examples of such fractals (such as the one below).

The example of a triangle fractal shown above shows a sequence of Sierpinski triangles shrinking in size. A different version of this is illustrated in the book *Brainfilling Curves*, by Jeffrey Ventrella. He constructs this as family of non-crossing curves in what he describes as a root4 triangle grid family. It is also the attractor of an IFS with three functions that mimic the usual construction of a Sierpinski triangle. Click on the botton to the left for a demonstration.

Curve

Animation

Triangle

Animation

\({f_1}({\bf{x}}) = \left[ {\begin{array}{*{20}{c}}
{ 1/4} & {\sqrt{3}/4} \\
{ \sqrt{3}/4} & { - 1/4} \\
\end{array}} \right]{\bf{x}}\) |

\({f_2}({\bf{x}}) = \left[ {\begin{array}{*{20}{c}}
{ - 1/4} & {- \sqrt{3}/4} \\
{ \sqrt{3}/4} & { - 1/4} \\
\end{array}} \right]{\bf{x}} + \left[ {\begin{array}{*{20}{c}}
{1/2} \\
{0} \\
\end{array}} \right]\) |

\({f_3}({\bf{x}}) = \left[ {\begin{array}{*{20}{c}} { 1/2} & {0} \\ { 0} & { 1/2} \\ \end{array}} \right]{\bf{x}} + \left[ {\begin{array}{*{20}{c}} {1/2} \\ {0} \\ \end{array}} \right]\) |

This iterated function system produces the following fractal which actually has six-fold rotational symmetry (in addition to several reflective symmetries). This is because the fixed attractor is a filled-in hexagon [Details]. It is colored using pixel counting (the color depends on how many times a particular pixel is plotted during the drawing of the fractal using the random chaos game algorithm). More details on symmetric fractals can be found here and in the book by Field and Golubitsky.

- Bannon, Thomas. "Fractals and Transformations," Mathematics Teacher, March 1991.
- Barnsley, Michael F.
*Fractals Everywhere,*2nd Edition, Academic Press Professional, 1993. [See Preview at Google Books] - Ciesielski, Krzysztof and Zdzislaw Pogoda. "The Beginning of Polish Topology," The Mathematical Intelligencer, 18 (3), 1996, 32-39.
- Devaney, Robert.
*A First Course in Chaotic Dynamical Systems,*Addison-Wesley Publishing Co., 1992. - Conversano, Elisa and Tedeschini Lalli, Laura. "Sierpinsky Triangles in Stone, on Medieval Floors in Rome," Journal of Applied Mathematics, Vol. 4, No. 4 (2011), 113-122.
- Edgar, Gerald A.
*Measure, Topology, and Fractal Geometry,*Springer-Verlag, 1990. - Field, Michael and Martin Golubitsky.
*Symmetry in Chaos: A Search for Pattern in Mathematics, Art, and Nature*(2nd Edition), SIAM, 2009. [See Preview at Google Books. Chapter 7 is on Symmetric Fractals.] - Jones, Juw. "Fractals Before Mandelbrot-A Selective History,"
in
*Fractals and Chaos,*Crilly, Earnshaw, and Jones, Editors, Springer-Verlag 1991. - Lauwerier, Hans.
*Fractals, Endlessly Repeated Geometrical Figures,*translated by Sophia Gill-Hoffstadt, Princeton University Press, 1991. - Mandelbrot, Benoit.
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*Fractals for the Classroom, Part One: Introduction to Fractals and Chaos,*Springer-Verlag New York, Inc. 1990. - Prusinkiewicz, Przemyslaw and James Hanan.
*Lindenmayer Systems, Fractals, and Plants,*Lecture Notes in Biomathematics #79, Springer-Verlag 1989. - Prusinkiewicz, Przemyslaw and Aristid Lindenmayer.
*The Algorithmic Beauty of Plants,*Springer-Verlag, 1990. [Available from the Algorithmic Botany website] - Sierpinski, Warclaw. "Sur une courbe dont tout point est un point de ramification," Compt. Rendus Acad. Sci. Paris 160 (1915), 302-305.
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