Fractal Explorer

Explore self-similar structures: Koch snowflake, Sierpinski triangle, fractal trees, Barnsley fern, and the Mandelbrot set. Adjust iterations and parameters to see infinite complexity emerge.

Fractal

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The Math Behind It

Self-Similarity

  • Fractals are shapes that repeat at every scale
  • Fractal dimension (Hausdorff) differs from integer dimensions
  • Koch snowflake: D = log4/log3 ≈ 1.262
  • Sierpinski triangle: D = log3/log2 ≈ 1.585
  • Each iteration multiplies complexity — finite area, infinite perimeter

Mandelbrot Set

  • Defined by the iteration zn+1 = zn² + c
  • Points are colored by escape velocity — how fast |z| exceeds 2
  • The boundary has fractal dimension 2
  • Connected with an infinitely complex boundary
  • Zooming reveals infinite detail — mini copies of the full set appear