A solution for the P v NP problem

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The discussion centers around a paper proposing a proof that P does not equal NP, authored by Norbert Blum. The paper has garnered attention due to its potential implications for computer science, particularly regarding the million-dollar prize for proving P vs. NP. The author is considered credible, and the paper appears well-structured, but skepticism exists about its validity. Some participants express doubt that the proof will withstand scrutiny, with references to a second version of the proof claiming errors. The conversation highlights the complexity of proving lower bounds in computational theory and notes the lack of mainstream media coverage on the topic, suggesting that if the proof holds true, it would be a significant breakthrough in the field.
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What can the experts decipher on this:

https://arxiv.org/pdf/1708.03486.pdf

Is this going to win a million dollars?

EDIT: The punchline is P =/= NP
 
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I'm not an expert, but from what I heard, the author is a credible researcher and the paper seems to look good. We'll see if someone finds a flaw.
 
If it is true, then it will be a sensation and I wonder, why the usual pop-science shout-boxes haven't reacted yet. Also interesting would be, whether Blum will also refuse to grab the million, as Perelman did. What looks promising is the way itself:
Berg and Ulfberg and Amano and Maruoka .. have used ... to prove exponential lower bound ...
and
We [Blum] show that these approximators can be used to prove the same lower bound for ...
This is the way science works: A great result from one author(s), because non-trivial lower bounds are really hard to prove, and another one generalizes the result. And as with Poincaré, the result ##P \neq NP## is simply a corollary.
 
fresh_42 said:
If it is true, then it will be a sensation and I wonder, why the usual pop-science shout-boxes haven't reacted yet.

It's probably not as sensational as P=NP :-)

Cheers
 
https://arxiv.org/abs/1708.03486

Thoughts, PF? I know very little about the subject—in fact, the abstract makes my eyes bug out:

Berg and Ulfberg and Amano and Maruoka have used CNF-DNF-approximators to prove exponential lower bounds for the monotone network complexity of the clique function and of Andreev's function. We show that these approximators can be used to prove the same lower bound for their non-monotone network complexity. This implies P not equal NP.
 
There is now a version 2 - where it is claimed:
The proof is wrong. I shall elaborate precisely what the mistake is. For doing this, I need some time. I shall put the explanation on my homepage
 
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