Sign in to save

Bookmark this page so you can find it later.

Sign in to save

Bookmark this page so you can find it later.

Fractals are patterns that repeat similar shapes at different sizes, and many of them look surprisingly natural. In a school project, fractals connect art, mathematics, biology, and Earth science in one visual investigation. Coastlines, fern leaves, Romanesco broccoli, lightning paths, and snowflakes all show forms of branching, repetition, or roughness across scale.

Studying them helps students see that math can describe patterns that are too irregular for ordinary circles, triangles, or straight lines.

Key Facts

  • Self-similarity means a pattern contains smaller parts that resemble the whole shape.
  • In the Koch snowflake, each side is divided into 3 equal parts and the middle part becomes two sides of an equilateral triangle.
  • For the Koch snowflake, number of sides after n steps is N = 3 x 4^n.
  • For the Koch snowflake, side length after n steps is s = s0 / 3^n.
  • For the Sierpinski triangle, number of filled triangles after n steps is N = 3^n.
  • A fractal dimension can be estimated by D = log(N) / log(S), where N is the number of copies and S is the scale factor.

Vocabulary

Fractal
A fractal is a shape or pattern that shows repeated structure at different scales.
Self-similarity
Self-similarity is the property of having smaller parts that look like the larger whole.
Recursion
Recursion is a process in which the same rule is applied again and again to create a pattern.
Iteration
Iteration is one repeated step in a recursive construction or calculation.
Fractal dimension
Fractal dimension is a number that describes how completely a fractal pattern fills space as it is magnified.

Common Mistakes to Avoid

  • Calling every repeated pattern a fractal is wrong because a fractal must show similar structure across different scales, not just a design that repeats side by side.
  • Drawing only one stage of a Koch snowflake or Sierpinski triangle is incomplete because fractals are built through repeated iterations.
  • Assuming natural fractals are perfectly exact is wrong because coastlines, ferns, lightning, and broccoli only approximate mathematical self-similarity over a limited range of sizes.
  • Forgetting to label the scale factor makes the math unclear because fractal dimension and growth rules depend on how much each smaller copy is reduced.

Practice Questions

  1. 1 A Koch snowflake starts as an equilateral triangle with side length 9 cm. After 2 iterations, how many sides does it have and what is the length of each side?
  2. 2 A Sierpinski triangle begins as 1 large filled triangle. After 4 iterations, how many small filled triangles remain if each filled triangle creates 3 smaller filled triangles at the next step?
  3. 3 Choose one natural example: fern, coastline, Romanesco broccoli, lightning, or snowflake. Explain which features show self-similarity and why the example is not a perfect mathematical fractal.