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Timeline for Hard-to-compute real numbers

Current License: CC BY-SA 3.0

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May 27, 2018 at 17:17 comment added Alex Mennen Problems that take exponential time to compute aren't hard enough to be good examples. Because to compute a number to precision $2^{-n}$, you need to compute all the first $n$ bits, not just the $n$th bit. This will already take exponential time if the bits are given by an easy computational problem, and if the bits are given by a problem that takes exponential time, then computing the first $n$ of them takes... still exponential time. To get a number that is hard to compute, you need to use a decision problem that cannot be solved in exponential time.
Oct 22, 2016 at 22:56 comment added Timothy Chow @Lembik : If you want a computational problem for which all the bits are (believed to be) hard to compute, try a cryptographic problem. Anyway, the point is that the whole business about real numbers is a red herring. The question reduces to, "Do there exist hard computational problems?" The answer is yes.
Oct 22, 2016 at 14:36 comment added Wojowu @Lembik It is true for nearly every "natural" decision problem that there are some instances where the problem is easy. This is even true for halting problem - there are a lot of machines for which we easily see whether they halt or not (let me also mention this paper). You are also right this depends on the ordering - we can define an ordering such that odd-numbered graphs have cycles and even-numbered ones don't. It is necessary for us to specify that the ordering is "simpler" than the problem at hand, so to say. This is usually meant implicitly.
Oct 22, 2016 at 14:32 comment added Wojowu @MohammadAl-Turkistany I'm afraid you are right. But I feel like the point is not so much about the specific example of Hamiltonian graph. You can replace it with any problem known to not be in P.
Oct 22, 2016 at 10:42 comment added Mohammad Al-Turkistany Isn't this conditional on $P \ne NP$? (If $P=NP$ then Hamiltonian cycle is in $P$ ).
Oct 22, 2016 at 8:17 comment added Simd For this formulation we have no idea which bits are hard to compute it seems. Could it be that almost all of them are easy ? In fact if we compute the bits in order and the graphs are suitably ordered, could all the bits be easy to compute?
Oct 22, 2016 at 3:14 history answered Timothy Chow CC BY-SA 3.0