Greetings!

In short, I am posting 3 documents, all geared towards a solution for the P versus NP problem.

The mathematics that governs the official solution has been presented to, and was subsequently endorsed by two separate mathematics journal editors.

Now I am presenting the mathematics to the public, and I got the suggestion to post here.

The reasoning behind three documents, is one is the official proof, which is written for professional mathematicians, and is very brief concerning certain ideas, and may not be obvious to even those with a strong mathematical background.

The next, is a version official proof, that obviates every point made in the official proof, and is much more verbose. It's a complete proof, and intended for those with a very strong mathematical background. It could be called properly the extended version of the official proof.

The other document is a basic mathematical overview, that is intended for anyone to read, so they can understand the mathematics that governs the solution.

It is chalk full of new mathematics, and has gotten great reviews from the readers I have thus far had. It is intended to be very informative for anyone with the slightest semblance of a mathematical background, and who wants to understand the official proof, and why and how it resolves the problem.

Any reviews and comments from the present community will be read.

I hope every well intended person has a great day. Likewise, enjoys reading the articles.

Basic mathematical overview of proof:

drive.google.com/file/d/1Y-GZK

Official proof:
drive.google.com/file/d/1Q_LxH

Extended proof:
drive.google.com/file/d/1lhAIL

@freemo

@carlostomas @freemo

...it's certainly an approach worth looking at.

I've only looked at the overview of the proof, but there is one thing that occurs to me; and tht is that, when using the distance argument (i.e. showing that numbers have a common factor with each other, and that factor is not present in the number sought as a sum) it is *not* required that *all* the terms have the same factor.

To illustrate this, let us assume a set of N numbers, all of which are multiples of three (some may be negative). To this set of numbers, let us add the number 1, which is not a multiple of three. We now have a set of N+1 numbers, all but one of which are multiples of three; and there is no subset of these numbers which can possibly add up to 20. So we can use distance for identification of multiple subset sums even when some elements of the sum do not share a common factor.

If that common factor is 3, then we can have at most one number which does not share the common factor. However, for larger common factors, the number that we can have which do not share that factor becomes larger; with a common factor of 5, we can have at least three numbers in the set which do not share the common factor and yet still leave certain totals impossible to reach.

I'm not entirely sure how this applies to the subset problem in a general sense.

@ccc @freemo

Hi there! Thanks for reading the document.

I must say you are also reading very carefully, and I appreciate that, it is a great question, and more importantly it means :you're trying to understand.

What you have stated is perfectly right, and that is how distance is obviously used, just outright calculating the value of a sum of subsets, and seeing if that value equals some other value. there is no need for having common factors here.

What we are after is using distance, without dedicating a calculation per subset sum. As if we just calculated the value of each subset sum, then we are at a 1:1 ratio of calculations and subset sums, which gives an exponential in the case concerned. As there are exponentially many subset sums that need to be decided as 'not equal' with a value v.

We need a many:1 ratio, so some how we can reduce the calculations from an exponential to a polynomial (if it were possible).

The alone way to do such, utilizing the locating notion of distance, is if each of the subset sums has a common factors.

ex:(2,4,6,8,10,12,14,16,18) v=31, without any calculation, i can say every combination of these subsets summed cannot equal with 31, since they are all divisible by 2, and therefore will also have 2 as a common factor in there subset sum, and 31 does not.

That's almost 512 different combinations I can say are not equal to 31, without calculating each individually.

Its the bypassing calculating each subset sum that we are trying to see the possibility of. And the alone way to utilize distance, with a many:1 ratio, is finding common factors as in the above example.

I am really appreciative of your attention, if you have any more questions, please don't be hesitant, your question is a great question, and you gave a very coherent example to objectify your thoughts.

Many thanks again, I hope you have a nice day.

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@ccc @freemo

I very much appreciate your statement saying its a worthwhile approach to look at. I hope more will soon.

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