The

Mandelbrot setis the set of points of the complex plane whos orbits do not diverge. An point $c$’sorbitis defined as the sequence $z_0 = c$, $z_{n+1} = z_n^2 + c$.The shape of this set is well known,

why is it that if you zoom into parts of the filaments you will find slightly deformed copies of the original shape, for example:

I measured some points on the Mandelbrot, and the corresponding points from one of these smaller Mu-molecules. Comparing the orbit sequences it was possible to find points on each sequence which were very close – but this experiment did not really help me to understand anything new.

**Answer**

I really like this question! I can’t yet upvote, so I’ll offer an answer instead. This is only a partial answer, as I don’t fully understand this material myself.

Suppose that $f$ is a quadratic polynomial. Suppose that there is an integer $n$ and a domain $U \subset \mathbb{C}$ so that the $n$-th iterate, $f^n$, restricted to $U$ is a “quadratic-like map.” Then we’ll call $f$ *renormalizable*. (See Chapter 7 of McMullen’s book “Complex dynamics and renormalization” for more precise definitions.) Now renormalization preserves the property of having a connected Julia set. Also the parameter space of “quadratic-like maps” is basically a copy of $\mathbb{C}$.

So, fix a quadratic polynomial $f$ and suppose that it renormalizes. Then, in the generic situation, all $g$ close to $f$ also renormalize using the same $n$ and almost the same $U$. This gives a map from a small region about $f$ to the space of quadratic-like maps. This gives a partial map from the small region to the Mandelbrot set and so explains the “local” self-similarity.

To sum up: all of the quadratic polynomials in a baby Mandelbrot set renormalize and all renormalize in essentially the same way. (I believe that there are issues as you approach the place where the baby is attached to the parent.) Thus renormalization explains why the baby Mandelbrot set appears.

**Attribution***Source : Link , Question Author : Community , Answer Author : Sam Nead*