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Apr 24, 2015 at 1:55 comment added Lucia @user45947: You're right that this is insufficiently well known. For example, I think I should have known this, but I didn't! One lives and learns.
Apr 23, 2015 at 16:14 comment added Terry Tao @Lucia You are in good company: en.wikipedia.org/wiki/Legendre%27s_constant Indeed, the numerical discrepancy that caused Legendre to be off by about 8% may in fact be related to the one in this question.
Apr 23, 2015 at 13:22 comment added user45947 I don’t know whether you agree, but to me it appears that the reason behind the discrepancy between the probabilistic estimate given by Merten’s product theorem and the prime number theorem is often poorly explained in the literature. That just adding the constraint $d\leq x$ results in $S(x)\sim 1/\log x$ is—to me at least—very instructive, even though the prime number theorem itself was applied in your proof. Thanks again for a great contribution!
Apr 23, 2015 at 12:57 history edited Lucia CC BY-SA 3.0
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Apr 23, 2015 at 12:47 history edited Lucia CC BY-SA 3.0
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Apr 23, 2015 at 12:43 comment added Lucia @TerryTao: Yes indeed it is $1$. I should have thought an epsilon more!
Apr 23, 2015 at 8:32 comment added user45947 Excellent answer! It seems from numerical testing that @TerryTao is correct with respect to the sum $\sum_{k=1}^\infty M(k)\log(1+\frac{1}{k})=1$. A plot demonstrating this is added to the original question. I had sort of suspected $S(x)\sim 1/\log x$ from a rather hand waving heuristic (which I also have added to my posting), so it's nice to see that this actually seems to be the case.
Apr 23, 2015 at 8:21 vote accept user45947
Apr 23, 2015 at 3:26 comment added Terry Tao Formally, one has $M(z) = - \sum_{n>z} \mu(n)/n$, so the sum $\sum_{k=1}^\infty M(k) \log(1+\frac{1}{k})$ appears to telescope formally to $\sum_n \frac{-\mu(n) \log n}{n} = 1$. One can presumably justify these formal computations by zeta regularization.
Apr 23, 2015 at 2:50 history answered Lucia CC BY-SA 3.0