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Research notes on every problem, and a library of the papers behind them. Built from the open erdos repository.

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Source. Terence Tao, The convergence of an alternating series of Erdős, assuming the Hardy--Littlewood prime tuples conjecture, Section 2 (displays (2.1)--(2.3)), physical and printed pp. 3--4 of the sixteen-page arXiv v3 PDF held by its library card, Tao (2023). The source credits the equivalence to an unpublished observation of Said (its footnote 3 points to MathOverflow question 313999) and supplies the proof "for the convenience of the reader".

Standing. This is an author-recorded reconstruction of a source argument. It is not an independent review, changes no status and assigns no tier. The result is unconditional; its only external input is the prime number theorem in the form stated below. The source states displays (2.1)--(2.3), the intermediate displays reproduced in Steps 1--4, 6 and 7, and the summation-by-parts bound that Step 8 makes explicit; the tail estimate in Step 4, the explicit constant in Step 5, the calculation in Step 7, the derivative bound and the integral comparison in Step 8, the derivation of the prime number theorem form from π(t)\pi(t), and Step 9 are supplied by this reconstruction where the source writes 'from the prime number theorem and subdivision of the mm variable', 'after some calculation', 'from summation by parts and the prime number theorem' and 'clearly follows'.

Definitions

pnp_n is the nnth prime and π(t)=#{p≤t}\pi(t)=\#\{p\le t\}. For real x≥1x\ge1 and y≥2y\ge2 put

A(x)=∑n≤x(−1)nnpn,B(y)=∑2≤m≤y(−1)π(m)mlog⁡m.A(x)=\sum_{n\le x}\frac{(-1)^nn}{p_n}, \qquad B(y)=\sum_{2\le m\le y}\frac{(-1)^{\pi(m)}}{m\log m}.

Question 1.1 of the source asks whether A(x)A(x) converges as x→∞x\to\infty (this is Problem 15); Question 1.2 asks whether B(y)B(y) converges as y→∞y\to\infty.

Imported input (prime number theorem). For n≥10n\ge10,

pn=nlog⁡n(1+O ⁣(log⁡log⁡nlog⁡n)),p_n=n\log n\left(1+O\!\left(\frac{\log\log n}{\log n}\right)\right),

with an absolute implied constant. This follows from π(t)=tlog⁡t(1+O(1/log⁡t))\pi(t)=\frac t{\log t}(1+O(1/\log t)): it gives pn=nlog⁡pn (1+O(1/log⁡n))p_n=n\log p_n\,(1+O(1/\log n)), and log⁡pn=log⁡n+O(log⁡log⁡n)\log p_n=\log n+O(\log\log n). Also pn/n→∞p_n/n\to\infty and n/pn→0n/p_n\to0.

Statement

There is an absolute constant CC such that

A(x)=12B(xlog⁡x)+C+o(1)(x→∞).(2.1)A(x)=\tfrac12B(x\log x)+C+o(1)\qquad(x\to\infty). \tag{2.1}

Consequently A(x)A(x) converges as x→∞x\to\infty if and only if B(y)B(y) converges as y→∞y\to\infty.

Proof

Step 1: averaging with the shifted sum

Reindexing m=n+1m=n+1,

∑n≤x(−1)n+1(n+1)pn+1=∑2≤m≤⌊x⌋+1(−1)mmpm=A(x)−(−1)1⋅1p1+(−1)⌊x⌋+1(⌊x⌋+1)p⌊x⌋+1=A(x)+12+o(1),\sum_{n\le x}\frac{(-1)^{n+1}(n+1)}{p_{n+1}} =\sum_{2\le m\le\lfloor x\rfloor+1}\frac{(-1)^mm}{p_m} =A(x)-\frac{(-1)^1\cdot1}{p_1}+\frac{(-1)^{\lfloor x\rfloor+1}(\lfloor x\rfloor+1)}{p_{\lfloor x\rfloor+1}} =A(x)+\frac12+o(1),

since p1=2p_1=2 and n/pn→0n/p_n\to0. Thus A(x)=−12+∑n≤x(−1)n+1(n+1)pn+1+o(1)A(x)=-\frac12+\sum_{n\le x}\frac{(-1)^{n+1}(n+1)}{p_{n+1}}+o(1). Averaging this with the identity A(x)=A(x)A(x)=A(x),

A(x)=−14+12∑n≤x((−1)nnpn+(−1)n+1(n+1)pn+1)+o(1).A(x)=-\frac14+\frac12\sum_{n\le x}\left(\frac{(-1)^nn}{p_n} +\frac{(-1)^{n+1}(n+1)}{p_{n+1}}\right)+o(1).

Step 2: the summand identity (2.2)

For each nn,

(−1)nnpn+(−1)n+1(n+1)pn+1=(−1)nnpn+1−(n+1)pnpnpn+1=(−1)nn(pn+1−pn)−pnpnpn+1=(−1)nn(pn+1−pn)pnpn+1−(−1)npn+1.\frac{(-1)^nn}{p_n}+\frac{(-1)^{n+1}(n+1)}{p_{n+1}} =(-1)^n\frac{np_{n+1}-(n+1)p_n}{p_np_{n+1}} =(-1)^n\frac{n(p_{n+1}-p_n)-p_n}{p_np_{n+1}} =\frac{(-1)^nn(p_{n+1}-p_n)}{p_np_{n+1}}-\frac{(-1)^n}{p_{n+1}}.

Step 3: the alternating tail

Since 1/pn+11/p_{n+1} decreases to 00, the alternating series test gives an absolute constant C0C_0 with ∑n≤x(−1)npn+1=C0+o(1)\sum_{n\le x}\frac{(-1)^n}{p_{n+1}}=C_0+o(1). Hence

A(x)=−14−C02+12∑n≤x(−1)nn(pn+1−pn)pnpn+1+o(1).A(x)=-\frac14-\frac{C_0}2 +\frac12\sum_{n\le x}\frac{(-1)^nn(p_{n+1}-p_n)}{p_np_{n+1}}+o(1).

Step 4: regrouping BB by prime gaps

The intervals [pn,pn+1)[p_n,p_{n+1}) for n≤xn\le x tile [2,p⌊x⌋+1)[2,p_{\lfloor x\rfloor+1}), so

∑n≤x ∑pn≤m<pn+1(−1)π(m)mlog⁡m=B(p⌊x⌋+1−1).\sum_{n\le x}\ \sum_{p_n\le m<p_{n+1}}\frac{(-1)^{\pi(m)}}{m\log m} =B\bigl(p_{\lfloor x\rfloor+1}-1\bigr).

By the imported prime number theorem, p⌊x⌋+1=xlog⁡x (1+o(1))p_{\lfloor x\rfloor+1}=x\log x\,(1+o(1)). If a<ba<b are the smaller and larger of xlog⁡xx\log x and p⌊x⌋+1−1p_{\lfloor x\rfloor+1}-1, then b/a→1b/a\to1 and

∣B(b)−B(a)∣≤∑a<m≤b1mlog⁡m≤1alog⁡a+∫abdttlog⁡t=1alog⁡a+log⁡log⁡blog⁡a=o(1),|B(b)-B(a)|\le\sum_{a<m\le b}\frac1{m\log m} \le\frac1{a\log a}+\int_a^b\frac{dt}{t\log t} =\frac1{a\log a}+\log\frac{\log b}{\log a} =o(1),

because log⁡b−log⁡a=log⁡(b/a)=o(1)\log b-\log a=\log(b/a)=o(1). Therefore

B(xlog⁡x)=∑n≤x ∑pn≤m<pn+1(−1)π(m)mlog⁡m+o(1).B(x\log x)=\sum_{n\le x}\ \sum_{p_n\le m<p_{n+1}} \frac{(-1)^{\pi(m)}}{m\log m}+o(1).

Step 5: reduction to an absolutely convergent series

Suppose the series

∑n=1∞(∑pn≤m<pn+1(−1)π(m)mlog⁡m−(−1)nn(pn+1−pn)pnpn+1)\sum_{n=1}^\infty\left(\sum_{p_n\le m<p_{n+1}}\frac{(-1)^{\pi(m)}}{m\log m} -\frac{(-1)^nn(p_{n+1}-p_n)}{p_np_{n+1}}\right)

converges absolutely, to a sum DD. Then its partial sums up to xx are D+o(1)D+o(1), and Steps 3 and 4 give

A(x)=−14−C02−D2+12B(xlog⁡x)+o(1),A(x)=-\frac14-\frac{C_0}2-\frac D2+\frac12B(x\log x)+o(1),

which is (2.1) with C=−14−C02−D2C=-\frac14-\frac{C_0}2-\frac D2. Since π(m)=n\pi(m)=n for pn≤m<pn+1p_n\le m<p_{n+1}, the nnth term of the series equals (−1)n(-1)^n times a real number, and absolute convergence is equivalent to

∑n=10∞∣∑pn≤m<pn+11mlog⁡m−n(pn+1−pn)pnpn+1∣<∞.(2.3)\sum_{n=10}^\infty\left|\sum_{p_n\le m<p_{n+1}}\frac1{m\log m} -\frac{n(p_{n+1}-p_n)}{p_np_{n+1}}\right|<\infty. \tag{2.3}

The starting index 1010 is arbitrary (the source's footnote 4); the first nine terms are finite.

Step 6: the mean value point

The function g(t)=1/(tlog⁡t)g(t)=1/(t\log t) is continuous and decreasing on [2,∞)[2,\infty). The average of gg over the pn+1−pnp_{n+1}-p_n integers m∈[pn,pn+1)m\in[p_n,p_{n+1}) lies between g(pn+1−1)g(p_{n+1}-1) and g(pn)g(p_n), so by the intermediate value theorem there is xn∈[pn,pn+1−1]x_n\in[p_n,p_{n+1}-1] with

∑pn≤m<pn+11mlog⁡m=pn+1−pnxnlog⁡xn.\sum_{p_n\le m<p_{n+1}}\frac1{m\log m}=\frac{p_{n+1}-p_n}{x_n\log x_n}.

Step 7: comparing 1/(xnlog⁡xn)1/(x_n\log x_n) with n/(pnpn+1)n/(p_np_{n+1})

Let n≥10n\ge10 and ηn=log⁡log⁡n/log⁡n\eta_n=\log\log n/\log n. The imported prime number theorem gives pn=nlog⁡n (1+O(ηn))p_n=n\log n\,(1+O(\eta_n)), and also pn+1=(n+1)log⁡(n+1) (1+O(ηn+1))=nlog⁡n (1+O(ηn))p_{n+1}=(n+1)\log(n+1)\,(1+O(\eta_{n+1}))=n\log n\,(1+O(\eta_n)), since (n+1)log⁡(n+1)=nlog⁡n (1+O(1/n))(n+1)\log(n+1)=n\log n\,(1+O(1/n)) and ηn+1≍ηn\eta_{n+1}\asymp\eta_n. As pn≤xn<pn+1p_n\le x_n<p_{n+1}, also xn=nlog⁡n (1+O(ηn))x_n=n\log n\,(1+O(\eta_n)), and then log⁡xn=log⁡n+log⁡log⁡n+O(ηn)=log⁡n (1+O(ηn))\log x_n=\log n+\log\log n+O(\eta_n)=\log n\,(1+O(\eta_n)). Hence

1xnlog⁡xn=1+O(ηn)nlog⁡2n,npnpn+1=1+O(ηn)nlog⁡2n,\frac1{x_n\log x_n}=\frac{1+O(\eta_n)}{n\log^2n}, \qquad \frac n{p_np_{n+1}}=\frac{1+O(\eta_n)}{n\log^2n},

and so

1xnlog⁡xn=npnpn+1+O ⁣(log⁡log⁡nnlog⁡3n)(n≥10).\frac1{x_n\log x_n}=\frac n{p_np_{n+1}} +O\!\left(\frac{\log\log n}{n\log^3n}\right)\qquad(n\ge10).

Step 8: summing against the prime gaps

By Steps 6 and 7 the nnth term of (2.3) is ≪wn(pn+1−pn)\ll w_n(p_{n+1}-p_n) with wn=log⁡log⁡n/(nlog⁡3n)w_n=\log\log n/(n\log^3n), so it suffices to show ∑n≥10wn(pn+1−pn)<∞\sum_{n\ge10}w_n(p_{n+1}-p_n)<\infty. Summation by parts gives, for N≥11N\ge11,

∑n=10Nwn(pn+1−pn)=wNpN+1−w10p10−∑n=11N(wn−wn−1)pn.\sum_{n=10}^{N}w_n(p_{n+1}-p_n) =w_Np_{N+1}-w_{10}p_{10}-\sum_{n=11}^{N}(w_n-w_{n-1})p_n.

The function w(t)=log⁡log⁡t/(tlog⁡3t)w(t)=\log\log t/(t\log^3t) has

w′(t)=1t2log⁡4t−log⁡log⁡t (log⁡t+3)t2log⁡4t,∣w′(t)∣≪log⁡log⁡tt2log⁡3t(t≥10),w'(t)=\frac1{t^2\log^4t}-\frac{\log\log t\,(\log t+3)}{t^2\log^4t}, \qquad |w'(t)|\ll\frac{\log\log t}{t^2\log^3t}\quad(t\ge10),

so ∣wn−wn−1∣≪log⁡log⁡n/(n2log⁡3n)|w_n-w_{n-1}|\ll\log\log n/(n^2\log^3n), and with pn≪nlog⁡np_n\ll n\log n,

∑n≥11∣wn−wn−1∣ pn≪∑n≥11log⁡log⁡nnlog⁡2n<∞,\sum_{n\ge11}|w_n-w_{n-1}|\,p_n \ll\sum_{n\ge11}\frac{\log\log n}{n\log^2n}<\infty,

the last series converging by comparison with ∫log⁡log⁡ttlog⁡2t dt=∫ue−u du\int\frac{\log\log t}{t\log^2t}\,dt=\int ue^{-u}\,du under u=log⁡log⁡tu=\log\log t. Also wNpN+1≪log⁡log⁡N/log⁡2N→0w_Np_{N+1}\ll\log\log N/\log^2N\to0. So the partial sums converge; since the terms wn(pn+1−pn)w_n(p_{n+1}-p_n) are nonnegative, the series converges. This proves (2.3), hence the absolute convergence in Step 5, hence (2.1).

Step 9: the equivalence

If B(y)B(y) converges as y→∞y\to\infty, then (2.1) shows A(x)A(x) converges. Conversely, suppose A(x)A(x) converges as x→∞x\to\infty through the integers. By (2.1), B(xlog⁡x)B(x\log x) converges along the integers xx. For real y→∞y\to\infty choose the integer xx with xlog⁡x≤y<(x+1)log⁡(x+1)x\log x\le y<(x+1)\log(x+1); the number of integers mm in (xlog⁡x,y](x\log x,y] is at most (x+1)log⁡(x+1)−xlog⁡x+1≪log⁡x(x+1)\log(x+1)-x\log x+1\ll\log x, each contributing at most 1/(xlog⁡x⋅log⁡(xlog⁡x))1/(x\log x\cdot\log(x\log x)) to BB, so ∣B(y)−B(xlog⁡x)∣≪1/(xlog⁡x)→0|B(y)-B(x\log x)|\ll1/(x\log x)\to0, and B(y)B(y) converges. This proves the statement.

Boundary. Only the prime number theorem enters, in the form stated above. The source's Remark 2.1, that the o(1)o(1) in (2.1) can be taken to be O(log⁡log⁡x/log⁡x)O(\log\log x/\log x), is stated without proof in the source and is not reconstructed here. The Theorem 1.4 reconstruction uses this page only through the equivalence, to pass from Question 1.2 to Question 1.1.