Hi,

I was thinking about how we could improve the productivity of the project by 
reducing the proportion of candidates requiring LL testing, and had the 
following idea.

P-1 factoring is useful when applied to Mersenne numbers because M(p)-1 is 
easily factored: M(p)-1 = (2^p-1) -1 = 2^p-2 = 2.(2^(p-1)-1)

The idea of P-1 factoring (stage 1) is to compute X = 2^k! mod N where k is 
the B1 limit and N is the number to be factored. Now compute GCD(X-1,N); with 
luck (if there is a factor F of N for which F-1 is k-smooth) the result will 
be F rather than 1.

However, _for Mersenne numbers_, the principle can be extended as follows:

M(p)-M(q) = 2^(p-q).(2^(p-q)-1)

Having computed X as above, we can now compute successively

GCD(X-1,N)
GCD(X-3,N)
GCD(X-7,N)
...
(until we get bored, or run out of q<p)

instead of just GCD(X-1,N).

This does not cost a lot of extra time because (for sensible values of k) the 
GCD will usually run in a small fraction of the time required to compute X. 
Nevertheless we appear to be gaining a lot of opportunities to find a factor.

Q1. What's the problem with this line of argument? I find it hard to believe 
that something this simple has been missed in the past...

Q2. If the above argument _is_ sound, is there an equally straightforward 
extension to stage 2?

Q3. Obviously there is still a falloff point at which it isn't worth 
proceeding further - some Mersenne numbers are going to remain hard to factor 
in the sense that any factoring method will take at least as long as running 
a couple of LL tests. Can anyone figure out how we can make a sane decision 
as to when it is no longer worth proceeding to the next q in computing 
GCD(X-M(q),2^p-1) ?

Regards
Brian Beesley
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