Re: Provability
- From: David C. Ullrich <ullrich@xxxxxxxxxxxxxxxx>
- Date: Wed, 24 Oct 2007 08:35:49 -0500
On Tue, 23 Oct 2007 23:01:05 GMT, Michael Press <rubrum@xxxxxxxxxxx>
wrote:
In article
<rbisrael.20071023142716$7fa6@xxxxxxxxxxxxxxxx>,
Robert Israel <israel@xxxxxxxxxxxxxxxxxxxxxxxxxxxxx>
wrote:
Victor Porton <porton@xxxxxxxx> writes:
For famous hypothesis such as Millennium Prize problems (or to be yet
more specific for P=NP problem)...
... how we can (or cannot) be sure that the hypotheses or its negation
is provable.
We can't. In some cases we can do half of this: e.g. if the Riemann
hypothesis or Goldbach's conjecture happens to be false, then its
negation is provable. But if it is true, there is no guarantee that
there is a proof of that.
There are statements which are unprovable nor true nor false in ZFC.
For a specific example can we be sure that either P=NP or P!=NP is
provable?
No. This is even worse than the Riemann hypothesis in that regard:
thus if P=NP there is a polynomial-time algorithm for solving an NP-complete
problem, but there might not be a proof that this algorithm works.
The notion of algorithm shares an important characteristic
with the notion of theorem. A computational method is not
an algorithm until we have accepted a proof of its efficacy.
Not according to the definition of "algorithm" I know.
Both of the following routines are algorithms. One of them
is an algorithm which gives the right answer to the
question "Is RH true?":
def SayYes:
return "yes"
def SayNo:
return "no"
I don't know which one gives the right answer, but
that doesn't change the fact that they are both
algorithms and one of them works.
************************
David C. Ullrich
.
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