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Revision difference : fractal
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There are several ways of defining a fractal, and a reader will need to reference their source to see which definition is being used. Perhaps the simplest definition is to define a \emph{fractal} to be a subset of $\mathbb{R}^n$ with non-integral Hausdorff dimension. See, for example, the Koch snowflake.
There are several ways of defining a fractal, and a reader will need to reference their source to see which definition is being used. Alternatively, we can slightly more pedantically (but more rigorously) define fractals through an equivalence relation on subsets of $\R^n$ by defining a distance relation: Let $F,G\subset \R^n$, and let $d(x,y)$ be the usual distance on $\R^n$. Define the distance $D$ between $F$
and $G$ as
Perhaps the simplest definition is to define a \emph{fractal} to be a subset of $\mathbb{R}^n$ with Hausdorff dimension greater than its topological dimension. It is worth noting that typically (but not always), fractals have non-integer Hausdorff dimension. See, for example, the Koch snowflake and the Mandelbrot set (named after Benoit Mandelbrot, who also coined the term ``fractal" for these objects). \[ D(F,G) := \sup_{f\in F} \inf_{g\in G} d(f,g) + \sup_{g\in G} \inf_{f\in F} d(f,g)\].
Two subsets $F,G$ of $\R^n$ are said to be equivalent as fractals if $D(F,G)=0$, and a \emph{fractal} is defined as an equivalence class of subsets under this equivalence.
A looser definition of a \emph{fractal} is a ``self-similar object". That is, a subset or $\R^n$ which can be covered by copies of itself using a set of (usually two or more) transformation mappings. Another way to say this would be ``an object with a discrete approximate scaling symmetry." For example, $\Q$ and $\R$ are equivalent as fractals.
Finally, a looser definition of a \emph{fractal} is a ``self-similar object". That is, a subset or $\R^n$ which can be covered by copies of itself using a set of (usually two or more) transformation mappings.
See also the discussion near the end of the entry \PMlinkname{Hausdorff dimension}{HausdorffDimension}. Another way to say this would be ``an object with a discrete approximate scaling symmetry."
For example, Square regions, Koch curves, and fern fronds fit this definition.
A cursory description of some relationships between some of these definitions is given towards the end of the entry on \PMlinkname{Hausdorff dimension}{HausdorffDimension}.