How to resolve the algorithm Meissel–Mertens constant step by step in the PARI/GP programming language
Published on 12 May 2024 09:40 PM
How to resolve the algorithm Meissel–Mertens constant step by step in the PARI/GP programming language
Table of Contents
Problem Statement
Calculate Meissel–Mertens constant up to a precision your language can handle.
Analogous to Euler's constant, which is important in determining the sum of reciprocal natural numbers, Meissel-Mertens' constant is important in calculating the sum of reciprocal primes.
We consider the finite sum of reciprocal natural numbers: 1 + 1/2 + 1/3 + 1/4 + 1/5 ... 1/n this sum can be well approximated with: log(n) + E where E denotes Euler's constant: 0.57721... log(n) denotes the natural logarithm of n.
Now consider the finite sum of reciprocal primes: 1/2 + 1/3 + 1/5 + 1/7 + 1/11 ... 1/p this sum can be well approximated with: log( log(p) ) + M where M denotes Meissel-Mertens constant: 0.26149...
Let's start with the solution:
Step by Step solution about How to resolve the algorithm Meissel–Mertens constant step by step in the PARI/GP programming language
Source code in the pari/gp programming language
{
MM(t)=
my(s=0);
forprime(p = 2, t,
s += log(1.-1./p)+1./p
);
Euler+s
};
{
Meissel_Mertens(d)=
default(realprecision, d);
my(prec = default(realprecision), z = 0, y = 0, q);
forprime(p = 2 , 7,
z += log(1.-1./p)+1./p
);
for(k = 2, prec,
q = 1;
forprime(p = 2, 7,
q *= 1.-p^-k
);
y += moebius(k)*log(zeta(k)*q)/k
);
Euler+z+y
};
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