Space filling curve
Q: How do you catch a lion in the Sahara?
A: Run along a space filling curve carrying a spear. (\dagger)
Surprisingly, it is possible to construct a continuous and surjective map [0,1]\mapsto [0,1]^2. In less techie language: you can plot a curve that fills space. But how do you do it? The answer uses the following four maps [0,1]^2\mapsto [0,1]^2.
\begin{align}
& \phi_0(x,y) = \frac{1}{2}(y,x) & \text{flip about diagonal and shrink}\\
& \phi_1(x,y) = \frac{1}{2}(x,y)+(0,\frac{1}{2}) & \text{shrink and translate to top left}\\
& \phi_2(x,y) = \frac{1}{2}(x,y)+(\frac{1}{2},\frac{1}{2}) & \text{shrink and translate to top right}\\
& \phi_3(x,y) = \frac{1}{2}(1-y,1-x)+(\frac{1}{2},0) & \text{flip, shrink & translate to bottom right}\\
\end{align}
In words the recipe goes like this:
- start off with any continuous map \gamma:[0,1]\mapsto[0,1]^2 with \gamma(0) = (0,0) and \gamma(1)=(1,0).
- apply all four maps \phi_0,\phi_1,\phi_2,\phi_3 to \gamma([0,1]) to get a new set.
- repeat the previous step over and over and the sets obtained will converge to the space filling curve
- That each \psi_n is continous
- That \psi_n converges uniformly (and let's call the limit \psi)
- That each (x,y) \in [0,1]^2 is in the range of \psi
\psi_n(0.q_1q_2q_3...)= \phi_{q_1}\phi_{q_2}\phi_{q_3}...\phi_{q_n}\gamma(0.q_{n+1}q_{n+2}...)
Note that there is no ambiguity in this definition since if there are non matching qubits 0.q_1q_2q_3... and 0.q_1^{'}q_2^{'}q_3^{'}... representing the same number, and the 1st difference is in the Nth qubit, then w.l.o.g. q_N=q_N^{'}+1 and for all n > N, q_n=0, q_n^{'} = 3. But
\phi_0\gamma(0.333...) = \phi_1\gamma(0.000...) \\ \phi_1\gamma(0.333...) = \phi_2\gamma(0.000...) \\ \phi_2\gamma(0.333...) = \phi_3\gamma(0.000...) \\
so you get the same point in [0,1]^2 whatever the qubit representation you use.
1. Continuity of \psi_n
This is trivial, since \psi_n is piecewise continuous.2. Uniform convergence of the \psi_n
From the definition it is clear that the distance from \psi_n(0.q_1q_2q_3...) to \psi_{n+1}(0.q_1q_2q_3...) is at most \frac{\sqrt{2}}{2^n} since both numbers are in the same \frac{1}{2^n}\times\frac{1}{2^n} box. Likewise the distance from \psi_n(0.q_1q_2q_3...) to \psi_{m}(0.q_1q_2q_3...) for any m > n is bounded by \frac{\sqrt{2}}{2^n} meaning that the \psi_n(0.q_1q_2q_3...) converge and that the distance to the limit is bounded by the same number.3. Surjectivity of \psi
Suppose you have an (x,y) in the square. Choose q_1 such that \psi_{q_1}[0,1]^2 is the quadrant that contains (x,y), and q_2 such that \psi_{q_1}\psi_{q_2}[0,1]^2 is the quadrant of the quadrant that contains (x,y) and so on. Then\psi(0.q_1q_2...) = (x,y)
Note that, since we've constructed a fractal, you can also calculate the Hausdorff Dimension for it, and that this turns out to be 2, which supports the notion that it fills space!
(\dagger) A bad joke. I heard it from another maths student at Bristol. What can you say.
(\dagger^2) And note that the lion has to be sleeping for this to definitely work.
(\dagger^3) And since F=ma you probably need to go infinitely slowly.
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