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Extraction of strings

The distribution of digits here differs from the previous case. Before filtering, each $ 1$ has probability $ 1/4$ of being followed by the string $ 2$, probability $ (1/4)\times (1/16)$ of being followed by the string $ 122$, and in general $ (1/4)\times (1/16)^k$ of being followed by $ k$ $ 1$s and $ (k+1)$ $ 2$s. So, the number of $ 1$s is reduced by:

$\displaystyle \frac{1}{4}\sum_{n=0}^{\infty} \frac{1}{16^n} = \frac{4}{15}.
$

A symmetrical argument applies to the $ 2$s, so after filtering there are $ 11/15$ as many $ 1$s and $ 2$s as in the unfiltered sequence. The area of sub-square $ 1$ equals that of sub-squares $ 3$ and $ 4$, and the area of sub-square $ 2$ is $ 3/4$ that of sub-square $ 3$, so we'd like $ (11/15)p_1$ $ =$ $ p_3$, and $ (11/15)p_2$ $ =$ $ (3/4)p_3$. Since the $ p_i$ sum to $ 1$, you have
$\displaystyle 2p_3 + \frac{11}{15} \times \frac{4}{3} p_3 + \frac{15}{11} p_3$ $\displaystyle =$ $\displaystyle 1$  
$\displaystyle \Longrightarrow \frac{44}{193}$ $\displaystyle =$ $\displaystyle p_3, \frac{45}{193} = p_2,
\frac{60}{193} = p_1.$  

Plugging these values into the Fractal Sequence applet gives a fairly uniform density of length $ 1$ addresses (although sub-square $ 2$ seems slightly sparse -- a bug perhaps?).

For the same reason as the truncation method, it is not possible to ``tweak'' the $ p_i$ so as to have a uniform density of points in each of the addresses of length $ 2$. Indeed, this fact can be used to prove that the resulting object is not a ``really nice'' fractal.


next up previous
Next: Filter foibles Up: Filtered chaos Previous: Truncation of strings
Danny Heap 2001-05-18