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Nov 7, 2011 at 18:55 comment added Joel David Hamkins But we could resurrect the left/right side argument by allowing that as a legitimate input, for if we allow both $K_1$ and $K_2$ to be convex, it seems we should allow the boundary in such cases to be a plane. (I also argued this way in the second theorem of my answer.)
Nov 7, 2011 at 18:37 comment added Joel David Hamkins The point is that it isn't a problem for it not to halt in a finite number of steps in that instance, since it wasn't a legitimate input. I've realized that the left/right solution I've proposed also doesn't fix the issue, since in the left/right division, the boundary is a plane, which isn't allowed. So again there is no guarantee that the main algorithm will halt in that case, and so we never get the finite list of queries.
Nov 7, 2011 at 18:34 comment added Michael Biro I don't understand why that objection is a problem. I've shown that for any finite number of queries, there exists a $K_2$ with nonempty interior for which none of the query points reports $K_2$. If the algorithm needs to find points in $K_2$ to do something interesting, I can keep playing hide-and-seek with $K_2$, for any finite number of queries. So, either the algorithm halts and gives an incorrect answer, or it doesn't halt in a finite number of steps.
Nov 7, 2011 at 18:27 comment added Joel David Hamkins But it seems that you can do this also. Instead of letting $K_1$ always say yes, just let it do so for points on the left side of the sphere, and otherwise $K_0$ on the right side. Now you get your query points, and then shrink to the convex hull on one side or the other, so as to change the answer.
Nov 7, 2011 at 18:24 comment added Joel David Hamkins That is, what you need to do is start from an actual legal instance, let the algorithm halt with its answer, and then produce a modified version answering the queries in the same way, but having a different answer. (And this is how I argue in my answer.)
Nov 7, 2011 at 18:15 comment added Joel David Hamkins Your proof doesn't quite work, since the algorithm that always says points are in $K_1$ might actually never halt. You cannot guarrantee that it does halt, since the hypotheses on the sets required that $K_2$ has nonempty interior, and perhaps the algorithm only starts doing something interesting once it has found lots of points in both $K_1$ and $K_2$.
Nov 7, 2011 at 17:56 history answered Michael Biro CC BY-SA 3.0