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#56 | |
5,857 Posts |
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So therefore I claim that your limits are true, but the correct number is not 3/2, but rather SQRT(2). Let's call it WhateverIsYourName - Motl's theorem, if no one else knows it. ;-) |
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#57 | |
6809 > 6502
"""""""""""""""""""
Aug 2003
101×103 Posts
100100011111012 Posts |
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You folks may want to look at http://www.utm.edu/research/primes/n...tMersenne.html
Quoting from that site: (emphasis mine) Quote:
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#58 | ||
"Patrik Johansson"
Aug 2002
Uppsala, Sweden
6518 Posts |
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Code:
Factoring only : 8312 Factored composite : 13186 Lucas-Lehmer testing : 62446 Lucas-Lehmer composite: 74660 Double-checking LL : 14131 Double-checked LL : 39640 Prime, VERIFIED : 1 Prime, UNVERIFIED : 1 ---------------------- ------- ---------------------- ------- TOTAL : 84889 TOTAL : 127488 Quote:
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#59 |
Aug 2003
Upstate NY, USA
2×163 Posts |
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maybe the reason he didn't get an email has to do with the Perl issues on the server lately
but he found out soon enough anyways and we'll all know in about a month - sooooo far away ![]() |
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#60 |
Dec 2003
Hopefully Near M48
2·3·293 Posts |
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Does anyone know where I can find an applet that calculates Li(x) (logarithmic integral, as in the Prime Number Theorem) for VERY large x (as large as the numbers we're testing for primality)?
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#61 | |
Dec 2003
Hopefully Near M48
175810 Posts |
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Now, pi(8,000,000) = 539,777 This means that there are 539,777 Mersenne numbers that could be prime, of which only 38 are actually prime. The density is thus about 7.04 * 10^-5. By comparison Li(M(8,000,000)) / M(8,000,000) ~= 1.80 * 10^-7. This means that Mersenne numbers are about 391 (not 2) times more likely to be prime than "ordinary" numbers, at least when n < 2^(8 million). However, it should be noted that there is significant error in that estimate because so few Mersenne primes are known (i.e. 38 is a small number, so there is still plenty of room for statistical uncertainty). For instance, the density of Mersenne primes up to M6972592 is significantly different from the density up to M6972593 (i.e. a single Mersenne prime changes the density heavily while a single "ordinary" prime has little effect on the density). Still, I would be quite confident to say that Mersenne numbers less than M(8,000,000) are hundreds of times more likely to prime than ordinary natural numbers less than M(8,000,000) I think the reason for this is probably because Mersenne numbers have less possible factors than "ordinary" numbers of similar size. Last fiddled with by jinydu on 2004-05-18 at 03:12 |
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#62 |
Sep 2002
Vienna, Austria
3·73 Posts |
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Could anyone post the 4 candidate exponents along with their residue?
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#63 |
Dec 2003
Hopefully Near M48
6DE16 Posts |
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Just for comparison, I'll make a table.
Let r = (density of Mersenne primes) / (density of regular primes), where (density of Mersenne primes) = (# of Mersenne primes) / (# of prime exponents). Let n = Mersenne exponent n-------Mersenne prime density-------Regular prime density----------r 10--------------1.00------------------------0.168----------------5.95 100------------0.400----------------------1.46*10^-2------------27.3 1000---------8.33*10^-2------------------1.44*10^-3------------57.7 10000--------1.79*10^-2------------------1.44*10^-4------------124 10^5---------2.92*10^-3------------------1.44*10^-5------------202 10^6---------4.20*10^-4------------------1.44*10^-6------------291 8*10^6-------7.04*10^-5------------------1.80*10^-7------------390 This table clearly seems to show that Mersenne numbers have an "advantage" over regular numbers, and that this advantage gets larger as the numbers get larger. This means that Mersenne primes do appear to thin out (as everyone probably knows), but not as quickly as regular primes. In case anyone wants to know, I assumed that Regular prime density = Li (2^n) = (1/ (n*ln 2)) + (1/ (n*ln 2)^2) + (2/ (n*ln 2)^3). I got that formula from http://mathworld.wolfram.com/PrimeNumberTheorem.html. Double-Checkers: Work hard, and I can add another row to that table! NOTE: Sorry about the dashes. Its the only way I could make the table display correctly (at least on my browser). Last fiddled with by jinydu on 2004-05-18 at 04:28 |
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#64 |
24·83 Posts |
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A statistician, would be looking at the least sum of squares.
![]() You know that line between predicted data, and observed data. :surprised This feature is built into RMA, as an accessory! |
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#65 | |
Dec 2003
Hopefully Near M48
110110111102 Posts |
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EDIT: A quadratic fit works very well. x = Log (base 10) n y = r y = 9.0921x^2 - 6.3465x + 2.0573, with an R^2 value of 0.9994 (according to Microsoft Excel). If you prefer natural logarithms: x = ln (n) y = r y = 1.7147x^2 - 2.7543x + 2.0516, with an R^2 value of 0.9994 That's a good fit considering the small sample size of only 38 Mersenne primes. Last fiddled with by jinydu on 2004-05-18 at 09:13 |
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#66 |
23×52×47 Posts |
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Ah... hem I was refering to:
http://www.utm.edu/research/primes/n...tMersenne.html The exact line between these lines, providing it is still a candidate ofcourse. Or more exactly, the line between general Mersenne primes. (Download RMA for details at:) http://www.15k.org/rma/ Shane F. TTn |
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