Undergrad Chaos like phenomena on a simple metric space?

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In the discussion about chaos-like phenomena in a metric space, a specific metric space M is defined as a subspace of the unit circle S^1 with no isolated points. A continuous function f is proposed, which doubles the angle of points in M, leading to the assertion that this function separates the space. The participants explore whether this separation holds universally for all similar space-function combinations, while acknowledging the difficulty in proving it. There is a consensus that while many examples support the assertion, a definitive proof remains elusive. The potential applications of establishing this result are highlighted as significant.
Zafa Pi
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Let M = {p, x1, x2, x3, ...} be a metric space with no isolated points.
f: M → M is continuous with f(xn) = xn+1, and f(p) = p.
We say f separates if ∃ δ > 0, ∋ for any y and z there is some n with |fn(y) - fn(z)| > δ, where fn+1(y) = f(fn(y)).
QUESTION: Does f separate?
 
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I find it very hard to think about abstract problems like this without a concrete example.

Here's a concrete example I thought of:

Let M be a subspace of the unit circle ##S^1## in ##\mathbb R^2##, with the metric inherited from ##\mathbb R^2##. Since all points in M have radius 1 we can fully specify a point by its polar angle ##\theta##. We set the angles as ##\theta_p=0,\theta_1=1,\theta_{n+1}=2\theta_n##. Note that under this specification two points are identical if their angles differ by a multiple of ##2\pi##, so we deduct whatever multiple of ##2\pi## is necessary to ensure that a point's angle lies in the range ##[0,2\pi)##.

I am pretty confident that with this definition M is dense in the unit circle ##S^1## so that there are no isolated points, and that the map ##f## that doubles the angle of a point is continuous. So this space satisfies the premises of the problem.

I claim that this space separates. For a small ##\delta##, eg say ##\delta=0.01##, given any ##y,z\in M## we can find ##n## such that ##|f^n(y)-f^n(z)>\delta##. I have not proven this but I can see a way one would go about doing so.

Have a go at seeing if you can prove that this space and the function ##f## satisfy the premises and that ##f## separates.

Assuming that works, the next step would be to see if we can generalise that result to all space-function combinations that satisfy the premises or, alternatively, whether we can find a counterexample - a space and function that satisfy the premises but the function does not separate.
 
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andrewkirk said:
We set the angles as θp=0,θ1=1,θn+1=2θnθp=0,θ1=1,θn+1=2θn\theta_p=0,\theta_1=1,\theta_{n+1}=2\theta_n.
I agree with what you say about this space and function. However, the same is true if 0 is eliminated, i.e. you don't need the fixed point.
Again, if we are on the circle group and this time θ1 = 1, θn+1 = θn + 1, we get density, f is continuous, no fixed point, and no separation.

There are many examples where the result is true (everyone I've tried), but I've been unable to show it is always true. I have spent a lot of time trying.
I think the result would have cool applications.
 
Here is a little puzzle from the book 100 Geometric Games by Pierre Berloquin. The side of a small square is one meter long and the side of a larger square one and a half meters long. One vertex of the large square is at the center of the small square. The side of the large square cuts two sides of the small square into one- third parts and two-thirds parts. What is the area where the squares overlap?

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