Proper evaluation of surrogate factoring



Surrogate factoring is just kind of a wild idea that means you have to
think carefully to understand how to evaluate its effectiveness.

Mathematically it reduces to solving two congruence relations:

x^2 = y^2 mod T

and

k^2 = 2xk mod T

where the first should be familiar as it's just the well-known
congruence of squares, while the second is what you need
mathematically to add to get to what I call surrogate factoring.

To use surrogate factoring you pick k, and then everything you do is
determined as you can only then move in increments of T, your target
composite to get your surrogate which is factored.

Moving from congruences to explicit equations you find that surrogate
is 2k^2 + wT, with w a non-zero integer, where you can see that once k
is picked you can only move in multiples of T.

Work the theory.

What never gets mentioned in discussions is the answer to the
question, what mathematically should you expect using that system of
equations?

It's not discussed as the theory all supports me.

So posters have to go to other means, like, how do you evaluate
factoring efficiency with the classical methods?

Those are searches so you just go by how many attempts you make versus
successes.

But with surrogate factoring, theory shows easily that for ANY k,
there exists a family of solutions for x and y, your difference of
squares, and you can only change the surrogate that is factoring in
multiples of T, so what does the theory indicate about the probability
of factoring?

Oddly enough it indicates that you should have about a 25% to 50%
probability of factoring with ANY non-zero k that you choose, with a k/
T ratio of higher than 5%.

That's weird. It requires thinking about factoring success in a
different way than before, where the focus is on k, not on all the
combinations for a particular k that do not work.

Now if that 25% to 50% probability holds up, you have a method that
could blow away everything else, though it does need help in that you
have to factor that surrogate, which is why there can be a nasty pause
where nothing seems to be happening in this area in terms of it being
picked up around the world.

The pause can be because the surrogate can be somewhat hard to factor.

And the surrogate inevitably gets bigger as T increases in size, so
you need a research team that can already do some serious factoring to
get it useful for the really big numbers--if it can be made useful.

Theory says it can. The theory shows no impact from the size of T,
except on the k/T ratio where the optimal ratio steadily rises as the
size of T increases, where I give the optimal and the basic theory--it
is easy--on my Extreme Mathematics group:

http://groups.google.com/group/extrememathematics/web/surrogate-factoring

A major problem I think for most of you when it comes to understanding
the implications of surrogate factoring is that you depend on
mathematicians, who lie a lot.

I am being very serious here, modern mathematicians lie a lot.

They lie for their own personal interests, and here they feel a need
to preserve the current system which gives them prestige and jobs with
people believing that systems based on factoring being a hard problem
are safe.

They are cons, so why should they suddenly care about people here and
now just because lots of money could be at stake and people could be
destroyed by their lies?

I assure you they do not care now any more than before.

They will lie about surrogate factoring like everything else, so check
the easy algebra.

Mathematical proof is the easy part, but countering faith in cons is
very, very hard.

Many modern mathematicians lie all the time about mathematics.

It's how they stay in business.


James Harris

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Relevant Pages

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