Re: F.Y.I. - Revised paper "P=NP: LP Formulation of the TSP"



I agree with Bryan, there must be a flaw (somewhere!).

Indeed, statement :

"Proposition 6
Computational complexity classes P and NP are equal."

-as claimed by Diaby- is nothing but :

"PA proves P=NP".

I guess many (gifted!) logicians would be 'very happy' to prove such a
statement...

Diaby's paper - as (too!) many others, like Ivanov, Grover, Moscu,
Anand, etc...- are not relevant to P v. NP problem : starting from
elementary &naivistic considerations, they invariably make lethal
mistakes on the road to 'excessively optimistic' claims...

The right level to deal with P vs. NP (as noted since the 70's by
Hartmanis, DeMillo, etc...) is not Computer Science itself (people
like Sipser & Razborov have crually experimented that in the 80's with
Circuits & Relativizations methods), but preferably : Logic & Set
Theory!

Bests.


Bryan Olson <fakeaddress@xxxxxxxxxxx> wrote in message news:<bkpue.1329$N22.509@xxxxxxxxxxxxxxxxxxxxxxxxxx>...
> moustapha.diaby@xxxxxxxxxxxxxxxxxx wrote:
> moustapha.diaby also wrote ...
> >>> > Set x(i,s,j) = y(i,s,j,i,s,j) at the start of each iteration.
>
> [Bryan Olson wrote:]
> >>>Then those y values of the form y(i,s,j,i,s,j) will be at least
> >>>as large as lambda.
> >>
> >>When lambda is their minimum?
> >
> > You are actually correct on this point. So ignore my comment above.
> >>
> >>>How do you handle the others? You can't
> >>>subtract lambda, because that could be negative. You can't leave
> >>>them as they are, because then constraints the proof relies upon
> >>>won't hold.
> >>
> >>What specific constraints are you referring to?
> >
> > The question above remains: What specific constraints are you referring
> > to?
>
> The argument for Proposition 3 cites 2.21, 2.22, 2.28, and 2.29
> as if they held for y' (the final "adjusted y"). The latter two
> are not directly constraints, but are proven assuming other
> constraints on y.
>
> > What would cause them to stop holding (since the solution at hand
> > is feasible)?
>
> If you subtract lambda from all the y[u,p,v,k,r,t] values, some
> can become negative. If you just subtract lambda from values of
> the form y[i,s,j,i,s,j], then constraints such as 2.21 don't
> hold.
.



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