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On Robin’s Inequality and the Kaneko-Lagarias Inequality

Idris Assani Department of Mathematics, The University of North Carolina at Chapel Hill, 120 E Cameron Avenue, CB 3250 Chapel Hill, NC 27599-3250, USA [email protected] https://idrisassani.web.unc.edu/ Aiden Chester The University of North Carolina at Chapel Hill, 120 E Cameron Avenue, CB 3250 Chapel Hill, NC 27599-3250, USA [email protected]  and  Alex Paschal The University of North Carolina at Chapel Hill, 120 E Cameron Avenue, CB 3250 Chapel Hill, NC 27599-3250, USA [email protected]
Abstract.

We prove that Robin’s inequality and the Lagarias inequality hold for almost every number, including all numbers not divisible by one of the prime numbers {2,3,5}\{2,3,5\}, primorials, sufficiently big numbers of the form 2kn2^{k}n for odd nn and 2121-free integers. We also prove that the Kaneko-Lagarias inequality holds for all numbers if and only if it holds for all superabundant numbers.

Key words and phrases:
Robin’s inequality, Kaneko-Lagarias inequality
2020 Mathematics Subject Classification:
11N56, 11M26

1. Introduction

We denote by σ(n)\sigma(n) and φ(n)\varphi(n) the sum of divisors function and Euler’s totient function respectively. Robin’s inequality ([8]) states that the Riemann hypothesis is equivalent to the assertion that

(1) σ(n)<eγnlog(log(n))\sigma(n)<e^{\gamma}n\log(\log(n))

for all n>5040n>5040, where γ\gamma denotes the Euler-Mascheroni constant. Similarly, the Lagarias inequality ([6]) states that the Riemann hypothesis is equivalent to the assertion that

(2) σ(n)<Hn+exp(Hn)log(Hn)\sigma(n)<H_{n}+\exp(H_{n})\log(H_{n})

for all n>1n>1, where HnH_{n} denotes the nn-th harmonic number. Lagarias also published an equality that we call the Kaneko-Lagarias inequality (see tthe acknowledgements in [6]), which states that the Riemann hypothesis is equivalent to the assertion that

(3) σ(n)<exp(Hn)log(Hn)\sigma(n)<\exp(H_{n})\log(H_{n})

for all n>60n>60.

2. Robin’s Inequality

2.1. Sufficiently big numbers not divisible by one of the prime numbers 2,3,5

Let p1=2p_{1}=2, p2=3p_{2}=3, etc. be an enumeration of the prime numbers which we denote by \mathbb{P}. Fix jj\in\mathbb{N} and let q1<q2<<qkq_{1}<q_{2}<\cdots<q_{k} be some prime numbers distinct from pjp_{j}. Given α1,α2,,αk\alpha_{1},\alpha_{2},\dots,\alpha_{k}\in\mathbb{N}, let n=q1α1q2α2qkαkn=q_{1}^{\alpha_{1}}q_{2}^{\alpha_{2}}\cdots q_{k}^{\alpha_{k}}.

Lemma 2.1.

We have

(4) σ(n)n<=1kqq1 \Let@\restore@math@cr\default@tag = 1,,-j1 j+1,…,k+1 pp1=nφ(n).\frac{\sigma(n)}{n}<\prod_{\ell=1}^{k}\frac{q_{\ell}}{q_{\ell}-1}\leq\prod_{\vbox{\Let@\restore@math@cr\default@tag\halign{\hfil$\m@th\scriptstyle#$&$\m@th\scriptstyle{}#$\hfil\cr\ell=&1,\dots,j-1\\ &j+1,\ldots,k+1\crcr}}}\frac{p_{\ell}}{p_{\ell}-1}=\frac{n}{\varphi(n)}.
Proof.

The first inequality follows from the fact that for any pp\in\mathbb{P} and α\alpha\in\mathbb{N}

(5) σ(pα)pα=p1pαp1pp1 as α.\frac{\sigma(p^{\alpha})}{p^{\alpha}}=\frac{p-\frac{1}{p^{\alpha}}}{p-1}\nearrow\frac{p}{p-1}\text{ as }\alpha\to\infty.

The second inequality follows from the fact that piqip_{i}\leq q_{i} for all 1ik1\leq i\leq k. ∎

Note that

(6) nφ(n)=( \Let@\restore@math@cr\default@tag = 1,,-j1 j+1,…,k+1 p+1p)( \Let@\restore@math@cr\default@tag = 1,,-j1 j+1,…,k+1 p2p21)=:A(k)B(k).\frac{n}{\varphi(n)}=\left(\prod_{\vbox{\Let@\restore@math@cr\default@tag\halign{\hfil$\m@th\scriptstyle#$&$\m@th\scriptstyle{}#$\hfil\cr\ell=&1,\dots,j-1\\ &j+1,\ldots,k+1\crcr}}}\frac{p_{\ell}+1}{p_{\ell}}\right)\left(\prod_{\vbox{\Let@\restore@math@cr\default@tag\halign{\hfil$\m@th\scriptstyle#$&$\m@th\scriptstyle{}#$\hfil\cr\ell=&1,\dots,j-1\\ &j+1,\ldots,k+1\crcr}}}\frac{p_{\ell}^{2}}{p_{\ell}^{2}-1}\right)=:A(k)B(k).

We can bound A(k)A(k) as follows:

(7) log(A(k))= \Let@\restore@math@cr\default@tag = 1,,-j1 j+1,…,k+1 log(1+1p) \Let@\restore@math@cr\default@tag = 1,,-j1 j+1,…,k+1 1p=(=1k+11p)1pj\log(A(k))=\sum_{\vbox{\Let@\restore@math@cr\default@tag\halign{\hfil$\m@th\scriptstyle#$&$\m@th\scriptstyle{}#$\hfil\cr\ell=&1,\dots,j-1\\ &j+1,\ldots,k+1\crcr}}}\log\left(1+\frac{1}{p_{\ell}}\right)\leq\sum_{\vbox{\Let@\restore@math@cr\default@tag\halign{\hfil$\m@th\scriptstyle#$&$\m@th\scriptstyle{}#$\hfil\cr\ell=&1,\dots,j-1\\ &j+1,\ldots,k+1\crcr}}}\frac{1}{p_{\ell}}=\left(\sum_{\ell=1}^{k+1}\frac{1}{p_{\ell}}\right)-\frac{1}{p_{j}}

and

(8) =1k+11plog(log(pk+1))+c1+5log(pk+1),\sum_{\ell=1}^{k+1}\frac{1}{p_{\ell}}\leq\log(\log(p_{k+1}))+c_{1}+\frac{5}{\log(p_{k+1})},

where c1.261497c_{1}\approx.261497 by Theorem 1.10 in [11]. Thus we obtain

Lemma 2.2.

For all kk\in\mathbb{N},

(9) A(k)log(pk+1)exp(c11pj+5log(pk+1)).A(k)\leq\log(p_{k+1})\exp\left(c_{1}-\frac{1}{p_{j}}+\frac{5}{\log(p_{k+1})}\right).

Combining [4] and Theorem 3 from [9], we obtain the following:

Theorem 2.3.

For k6k\geq 6,

(10) k(log(k)+log(log(k))1)<pk<k(log(k)+log(log(k))).k(\log(k)+\log(\log(k))-1)<p_{k}<k(\log(k)+\log(\log(k))).

Furthermore, combining 2.2 and 2.3, we see that

Lemma 2.4.

For k6k\geq 6, A(k)<C(k)A(k)<C(k) where

(11) C(k)\displaystyle C(k) =log((k+1)(log(k+1)+log(log(k+1))))\displaystyle=\log((k+1)(\log(k+1)+\log(\log(k+1))))
exp(c11pj+5log((k+1)(log(k+1)+log(log(k+1))1))).\displaystyle\qquad\exp\left(c_{1}-\frac{1}{p_{j}}+\frac{5}{\log((k+1)(\log(k+1)+\log(\log(k+1))-1))}\right).

Now, put m=pk+1#/pjm=p_{k+1}\#/p_{j}. Our goal is to show the following, since it implies that Robin’s inequality for nn as above:

Theorem 2.5.

For any j{1,2,3}j\in\{1,2,3\}, there exists a KjK_{j}\in\mathbb{N} such that kKjk\geq K_{j} implies

(12) C(k)B(k)<eγlog(log(m)).C(k)B(k)<e^{\gamma}\log(\log(m)).
Corollary 2.6.

Suppose 2.5 holds. Then Robin’s inequality holds for nn as above.

Proof.

We calculate

(13) σ(n)n<nφ(n)A(k)B(k)<C(k)B(k)<eγlog(log(m))eγlog(log(n)),\frac{\sigma(n)}{n}<\frac{n}{\varphi(n)}\leq A(k)B(k)<C(k)B(k)<e^{\gamma}\log(\log(m))\leq e^{\gamma}\log(\log(n)),

where the last inequality follows from the fact that mnm\leq n. ∎

Definition 2.7.

The Chebyshev function is defined as follows:

(14) θ(x)=p,pxlog(p)=log(p,pxp).\theta(x)=\sum_{p\in\mathbb{P},p\leq x}\log(p)=\log\left(\prod_{p\in\mathbb{P},p\leq x}p\right).
Theorem 2.8.

For x529x\geq 529,

(15) ppxp=eθ(x)>ex(112logx)(2.51)x.\prod_{\begin{subarray}{c}p\in\mathbb{P}\\ p\leq x\end{subarray}}p=e^{\theta(x)}>e^{x\left(1-\frac{1}{2\log x}\right)}\geq(2.51)^{x}.
Proof.

The first inequality is given by (3.14) in [9] and the second follows from computations since the function f(x)=112logxf(x)=1-\frac{1}{2\log x} increases for x>1x>1. ∎

Lemma 2.9.

For k99k\geq 99,

log(log(m))>log((k+1)(log(k+1)+log(log(k+1))1)log(2.51)log(pj))=:D(k).\log(\log(m))>\log((k+1)(\log(k+1)+\log(\log(k+1))-1)\log(2.51)-\log(p_{j}))=:D(k).
Proof.

Noting that k99k\geq 99 implies pk+1>529p_{k+1}>529, we calculate

(16) log(log(m))\displaystyle\log(\log(m)) =log(log(pk+1#pj))>log(log((2.51)pk+1pj))\displaystyle=\log\left(\log\left(\frac{p_{k+1}\#}{p_{j}}\right)\right)>\log\left(\log\left(\frac{(2.51)^{p_{k+1}}}{p_{j}}\right)\right)
=log(pk+1log(2.51)log(pj))\displaystyle=\log(p_{k+1}\log(2.51)-\log(p_{j}))
>log((k+1)(log(k+1)+log(log(k+1))1)log(2.51)log(pj)),\displaystyle>\log((k+1)(\log(k+1)+\log(\log(k+1))-1)\log(2.51)-\log(p_{j})),

where the last inequality uses 2.3. ∎

The following implies 2.5:

Proposition 2.10.

For j{1,2,3}j\in\{1,2,3\}, there exists a KjK_{j}\in\mathbb{N} such that kKjk\geq K_{j} implies

(17) C(k)B(k)<eγD(k).C(k)B(k)<e^{\gamma}D(k).
Proof.

Denote

(18) C~(k)=ec1+1pjC(k)\displaystyle\widetilde{C}(k)=e^{-c_{1}+\frac{1}{p_{j}}}C(k) =log((k+1)(log(k+1)+log(log(k+1))))\displaystyle=\log((k+1)(\log(k+1)+\log(\log(k+1))))
exp(5log((k+1)(log(k+1)+log(log(k+1))1)))\displaystyle\qquad\exp\left(\frac{5}{\log((k+1)(\log(k+1)+\log(\log(k+1))-1))}\right)

and

(19) C^(k)=exp(5log((k+1)(log(k+1)+log(log(k+1))1))).\widehat{C}(k)=\exp\left(\frac{5}{\log((k+1)(\log(k+1)+\log(\log(k+1))-1))}\right).

Multiplying both sides of (17) by ec1+1pjpj2/(pj21)e^{-c_{1}+\frac{1}{p_{j}}}p_{j}^{2}/(p_{j}^{2}-1), we obtain

(20) C~(k)=1k+1p2p21<eγc1+1pjpj2pj21D(k).\widetilde{C}(k)\prod_{\ell=1}^{k+1}\frac{p_{\ell}^{2}}{p_{\ell}^{2}-1}<\frac{e^{\gamma-c_{1}+\frac{1}{p_{j}}p_{j}^{2}}}{p_{j}^{2}-1}D(k).

Noting that

(21) =1k+1p2p21π26 as k,\prod_{\ell=1}^{k+1}\frac{p_{\ell}^{2}}{p_{\ell}^{2}-1}\nearrow\frac{\pi^{2}}{6}\text{ as }k\to\infty,

we see that (20) is implied by

(22) C~(k)<6pj2eγc1+1pjπ2(pj21)D(k)=:EjD(k).\widetilde{C}(k)<\frac{6p_{j}^{2}e^{\gamma-c_{1}+\frac{1}{p_{j}}}}{\pi^{2}(p_{j}^{2}-1)}D(k)=:E_{j}D(k).

Raising both sides to the power of ee, we see that (22) is implied by

(23) [(k+1)(log(k+1)+log(log(k+1))]C^(k)\displaystyle[(k+1)(\log(k+1)+\log(\log(k+1))]^{\widehat{C}(k)}
<[(k+1)(log(k+1)+log(log(k+1))1)log(2.51)log(pj)]Ej.\displaystyle<[(k+1)(\log(k+1)+\log(\log(k+1))-1)\log(2.51)-\log(p_{j})]^{E_{j}}.

(23) is equivalent to

(24) 1\displaystyle 1 <[(k+1)(log(k+1)+log(log(k+1)))]C^(k)+Ej\displaystyle<[(k+1)(\log(k+1)+\log(\log(k+1)))]^{-\widehat{C}(k)+E_{j}}
[1(k+1)log(2.51)+log(pj)(k+1)(log(k+1)+log(log(k+1)))]Ej.\displaystyle\qquad\left[1-\frac{(k+1)\log(2.51)+\log(p_{j})}{(k+1)(\log(k+1)+\log(\log(k+1)))}\right]^{E_{j}}.

Noting that Ej>1E_{j}>1 for j{1,2,3}j\in\{1,2,3\}, we see that there exists a KjK_{j}\in\mathbb{N} such that kKjk\geq K_{j} implies C^(k)+Ej>ϵ-\widehat{C}(k)+E_{j}>\epsilon for some ϵ(0,1)\epsilon\in(0,1). If needed, we can increase KjK_{j} so that kKjk\geq K_{j} implies

(25) [1(k+1)log(2.51)+log(pj)(k+1)(log(k+1)+log(log(k+1)))]Ej>ϵ,\left[1-\frac{(k+1)\log(2.51)+\log(p_{j})}{(k+1)(\log(k+1)+\log(\log(k+1)))}\right]^{E_{j}}>\epsilon,

and also so that kKjk\geq K_{j} implies

(26) 1<ϵ[(k+1)(log(k+1)+log(log(k+1))]ϵ,1<\epsilon[(k+1)(\log(k+1)+\log(\log(k+1))]^{\epsilon},

which implies (24). ∎

2.2. All numbers not divisible by one of the prime numbers 2,3 5

Letting j=1j=1 in (22), we seek to show that

(27) C~(k)<8eγc1+.5π2D(k).\widetilde{C}(k)<\frac{8e^{\gamma-c_{1}+.5}}{\pi^{2}}D(k).
Lemma 2.11.

For k13042k\geq 13042, C^(k)<1.525\widehat{C}(k)<1.525.

Proof.

C^(k)\widehat{C}(k) is decreasing, so the result follows from computation. ∎

Denote f(k)=(k+1)(log(k+1)+log(log(k+1))f(k)=(k+1)(\log(k+1)+\log(\log(k+1)). Applying 2.11to (27) and performing some algebraic manipulations, our goal reduces to showing that

(28) log(f(k))<8eγc1+.5π2(1.525)log((f(k)1)log(2.51)log(2)).\log(f(k))<\frac{8e^{\gamma-c_{1}+.5}}{\pi^{2}(1.525)}\log((f(k)-1)\log(2.51)-\log(2)).

Raising both sides to the power of ee, this becomes

(29) 1<f(k)2.0166[1(k+1)log(2.51)log(2)f(k)]1.20166.1<f(k)^{2.0166}\left[1-\frac{(k+1)\log(2.51)-\log(2)}{f(k)}\right]^{1.20166}.

The RHS of (29) is increasing, and a computation reveals that it holds for k13042k\geq 13042. Additionally, using 2.1, one can check that

(30) σ(n)n<nφ(n)<eγlog(log(m))\frac{\sigma(n)}{n}<\frac{n}{\varphi(n)}<e^{\gamma}\log(\log(m))

for k3k\geq 3. Finally, when k{1,2}k\in\{1,2\}, we check that

(31) σ(n)n<nφ(n)158<eγlog(log(n))\frac{\sigma(n)}{n}<\frac{n}{\varphi(n)}\leq\frac{15}{8}<e^{\gamma}\log(\log(n))

for n680n\geq 680. This confirms the following for j=1j=1:

Theorem 2.12.

For j{1,2,3}j\in\{1,2,3\}, Robin’s inequality holds for every natural number >5040>5040 which is not divisible by pjp_{j}.

To confirm 2.12 when j{2,3}j\in\{2,3\}, one can repeat the above process to see that, for sufficiently big kk, (22) is satisfied. The cases with smaller kk have been verified in [7].

2.3. Primorials and sufficiently big even numbers

We consider numbers of the form 2kn2^{k}n for odd nn.

Fix kk\in\mathbb{N} and let nn be odd. We calculate

(32) σ(2kn)2kn=σ(2k)2kσ(n)n<σ(2k)2knφ(n)=σ(2k)2kφ(2k)2k2knφ(2kn)=(112k+1)2knφ(2kn).\frac{\sigma(2^{k}n)}{2^{k}n}=\frac{\sigma(2^{k})}{2^{k}}\frac{\sigma(n)}{n}<\frac{\sigma(2^{k})}{2^{k}}\frac{n}{\varphi(n)}=\frac{\sigma(2^{k})}{2^{k}}\frac{\varphi(2^{k})}{2^{k}}\frac{2^{k}n}{\varphi(2^{k}n)}=\left(1-\frac{1}{2^{k+1}}\right)\frac{2^{k}n}{\varphi(2^{k}n)}.

Applying Theorem 15 from [9], we know

(33) (112k+1)2knφ(2kn)<(112k+1)(eγlog(log(2kn))+2.51log(log(2kn))).\left(1-\frac{1}{2^{k+1}}\right)\frac{2^{k}n}{\varphi(2^{k}n)}<\left(1-\frac{1}{2^{k+1}}\right)\left(e^{\gamma}\log(\log(2^{k}n))+\frac{2.51}{\log(\log(2^{k}n))}\right).

We ask which nn satisfy

(34) (112k+1)(eγlog(log(2kn))+2.51log(log(2kn)))<eγ(log(log(2kn))).\left(1-\frac{1}{2^{k+1}}\right)\left(e^{\gamma}\log(\log(2^{k}n))+\frac{2.51}{\log(\log(2^{k}n))}\right)<e^{\gamma}(\log(\log(2^{k}n))).

This is equivalent to asking when

(35) 2.51(2k+11)eγ<(log(log(2kn)))2\frac{2.51(2^{k+1}-1)}{e^{\gamma}}<(\log(\log(2^{k}n)))^{2}

holds, which is when

(36) n>ee2.51(2k+11)eγ2k=:b(k).n>\frac{e^{e^{\sqrt{\frac{2.51(2^{k+1}-1)}{e^{\gamma}}}}}}{2^{k}}=:b(k).

Thus, we obtain the following:

Theorem 2.13.

Given any kk\in\mathbb{N}, Robin’s inequality holds for all numbers of the form 2kn2^{k}n when nn is odd and satisfies (36).

In particular, we have

Corollary 2.14.

If n620n\geq 620 is odd, then Robin’s inequality holds for 2n2n. Furthermore, Robin’s inequality holds for all primorials >30>30.

Proof.

The first statement follows immediately from 2.13 and the second follows from the computation of primorials <1240<1240.3 ∎

2.4. All 21-free numbers

The results of the previous subsection, are based on the inequality in Theorem 15 from [9]. This inequality can be improved by using a better bound stated in [2]:

(37) mφ(m)<eγlog(log(m))+.0168(log(log(m)))2.\frac{m}{\varphi(m)}<e^{\gamma}\log(\log(m))+\frac{.0168}{(\log(\log(m)))^{2}}.

for m101013.11485=C.m\geq 10^{10^{13.11485}}=C. Using the same reasoning as before, we derive the following result.

Theorem 2.15.

Given any kk natural number, Robin’s inequality holds for all numbers of the form 2kn2^{k}n when nn is odd and satisfies

(38) 2kn>ee(.0168(2k+11)eγ)13=:2kb~(k)2^{k}n>e^{e^{\left(\frac{.0168(2^{k+1}-1)}{e^{\gamma}}\right)^{\frac{1}{3}}}}=:2^{k}\tilde{b}(k)

Furthermore, it was shown in [7] that Robin’s inequality holds for all natural numbers 5041<mC.5041<m\leq C.. We can thus conclude the following:

Theorem 2.16.

Robin’s inequality holds for all natural numbers of the form 2kn2^{k}n with nn odd as long as 2kb~(k)<C.2^{k}\tilde{b}(k)<C. In particular, Robin’s inequality holds for all 21-free numbers.

Proof.

Let kk be a natural number and nn be an odd natural number.

  • if 5041<2kn2kb~(k)<C5041<2^{k}n\leq 2^{k}\tilde{b}(k)<C then 2kn2^{k}n satisfies Robin’s inequality by [7]

  • Alternatively, if 2kn>2kb~(k)2^{k}n>2^{k}\tilde{b}(k) then 2kn2^{k}n satisfies Robin’s inequality by 2.15.

Recalling that a \ell-free number is a natural number not divisible by any \ell power of a prime number greater than or equal to 22, we can see that if 2kb~(k)<C2^{k}\tilde{b}(k)<C then all (k+1)(k+1)-free numbers satisfy Robin’s inequality. Since log(220b~(20))<6(1011)<2.3(1013.11485<log(C)\log(2^{20}\tilde{b}(20))<6(10^{11})<2.3(10^{13.11485}<\log(C), we can conclude that Robin’s inequality holds for all 21-free numbers. ∎

Remark The validity of Robin’s inequality for \ell-free numbers was proved for =7\ell=7 in [10], for =11\ell=11 in [3] and for =20\ell=20 in [7].

2.5. Almost every number

Definition 2.17.

The natural density of a set EE is

(39) d(E)=limn#E{1,2,,n}nd(E)=\lim_{n\to\infty}\frac{\#E\cap\{1,2,\dots,n\}}{n}

when the limit exists.

Theorem 2.18.

Denote by \mathcal{R} the set of numbers satisfying Robin’s inequality. Then the natural density of \mathcal{R} is 11.

Proof.

We will prove that the natural density of c\mathcal{R}^{c} is 0. Fix ϵ>0\epsilon>0. Let Ek={2kn:nodd,nb(k)}E_{k}=\{2^{k}n:n\in\mathbb{N}_{\text{odd}},n\leq b(k)\} and note that ck1Ek\mathcal{R}^{c}\subseteq\bigcup_{k\geq 1}E_{k} by 2.12 and 2.13.111Here odd:={1,3,}\mathbb{N}_{\text{odd}}:=\{1,3,\dots\}. Pick MM so that k=M+112k<ϵ2\sum_{k=M+1}^{\infty}\frac{1}{2^{k}}<\frac{\epsilon}{2}. For nn\in\mathbb{N} we calculate

(40) #c{1,2,,n}n\displaystyle\frac{\#\mathcal{R}^{c}\cap\{1,2,\dots,n\}}{n} #k1Ek{1,2,,n}n=k1#Ek{1,2,,n}n\displaystyle\leq\frac{\#\bigcup_{k\geq 1}E_{k}\cap\{1,2,\dots,n\}}{n}=\frac{\sum_{k\geq 1}\#E_{k}\cap\{1,2,\dots,n\}}{n}
=k=1M#Ek{1,2,,n}+k=M+1#Ek{1,2,,n}n,\displaystyle=\frac{\sum_{k=1}^{M}\#E_{k}\cap\{1,2,\dots,n\}+\sum_{k=M+1}^{\infty}\#E_{k}\cap\{1,2,\dots,n\}}{n},

where the first equality follows from the fact that the EkE_{k}’s are disjoint. Noting that k=1M#Ek{1,2,,n}<\sum_{k=1}^{M}\#E_{k}\cap\{1,2,\dots,n\}<\infty for all nn\in\mathbb{N}, we see that we can pick NN so that nNn\geq N implies that the RHS of (40) is <ϵ<\epsilon, completing our proof. ∎

3. The Lagarias and Kaneko-Lagarias Inequalities

3.1. Superabundant numbers

Let Γ(x)\Gamma(x) denote the gamma function. We define two functions:

(41) H(x)\displaystyle H(x) =01tx1t1dt,\displaystyle=\int_{0}^{1}\frac{t^{x}-1}{t-1}\mathop{}\!\mathrm{d}t,
ψ(x)\displaystyle\psi(x) =Γ(x)Γ(x).\displaystyle=\frac{\Gamma^{\prime}(x)}{\Gamma(x)}.

ψ\psi is known as the digamma function. One can verify that HH is smooth for x1x\geq 1 and that H(n)=HnH(n)=H_{n} for all nn\in\mathbb{N}. It’s also easy to see that ψ\psi, known as the digamma function, satisfies

(42) H(x)=ψ(x+1)+γ.H(x)=\psi(x+1)+\gamma.
Lemma 3.1.

For all x1x\geq 1,

(43) H(x)<log(x)+γ+12x.H(x)<\log(x)+\gamma+\frac{1}{2x}.
Proof.

By (2.2) from [1],

(44) ψ(x)<log(x)12x\psi(x)<\log(x)-\frac{1}{2x}

for all x1x\geq 1. Then we use (42) and ψ(x+1)=ψ(x)+1x\psi(x+1)=\psi(x)+\frac{1}{x} to finish. ∎

Lemma 3.2.

For all x4x\geq 4,

(45) H(x)<2log(x)1+6π2x.H(x)<\frac{2\log(x)}{1+\frac{6}{\pi^{2}x}}.
Proof.

By 3.1, it suffices to show that

(46) log(x)+γ+12x<2log(x)1+6π2x\log(x)+\gamma+\frac{1}{2x}<\frac{2\log(x)}{1+\frac{6}{\pi^{2}x}}

for x4x\geq 4. By arithmetic manipulations, (46) becomes

(47) 1π2x6(γπ2x+π22+6γ+3x)<log(x).\frac{1}{\pi^{2}x-6}\left(\gamma\pi^{2}x+\frac{\pi^{2}}{2}+6\gamma+\frac{3}{x}\right)<\log(x).

Computation reveals that (47) holds for x=4x=4, and the LHS of (47) is decreasing while the RHS is increasing so we obtain the result. ∎

Lemma 3.3.

The following hold:

  1. (1)

    For all n>1n>1, Hn+1nlog(n)H_{n+1}\leq\frac{n}{\log(n)}.

  2. (2)

    For all x4x\geq 4, log(H(x))x2log(x)\log(H(x))\leq\frac{x}{2\log(x)}.

Proof.

(a) We can manually verify the inequality for n6n\leq 6. Noting that

(48) Hn+1=k=1n+11k1+1n+1dtt=1+log(n+1),H_{n+1}=\sum_{k=1}^{n+1}\frac{1}{k}\leq 1+\int_{1}^{n+1}\frac{\mathop{}\!\mathrm{d}t}{t}=1+\log(n+1),

it suffices to show that

(49) log(x)(log(x+1)+1)x.\log(x)(\log(x+1)+1)\leq x.

Put g(t)=ett2t1g(t)=e^{t}-t^{2}-t-1. We see that g(2)>0g(2)>0 and that g(t)=et2t1>0g^{\prime}(t)=e^{t}-2t-1>0 for t2t\geq 2, so g(t)>0g(t)>0 for t2t\geq 2. For xe21x\geq e^{2}-1 we have

(50) 0<g(log(x+1))=x+1(log(x+1))2log(x+1)1<xlog(x)(log(x+1)+1).0<g(\log(x+1))=x+1-(\log(x+1))^{2}-\log(x+1)-1<x-\log(x)(\log(x+1)+1).

(b) For x4x\geq 4, note that the function mapping xxlog(x)x\mapsto\frac{x}{\log(x)} is increasing. If nx<n+1n\leq x<n+1, then

(51) HnH(x)<Hn+1nlog(n)xlog(x).H_{n}\leq H(x)<H_{n+1}\leq\frac{n}{\log(n)}\leq\frac{x}{\log(x)}.

For y>2y>2 we see that log(y)<y2\log(y)<\frac{y}{2}, so let y=H(x)y=H(x) and apply (51) finish. ∎

Lemma 3.4.

For x4x\geq 4,

(52) H(x)log(H(x))<x2x+6π2.H(x)\log(H(x))<\frac{x^{2}}{x+\frac{6}{\pi^{2}}}.
Proof.

Apply 3.1 and 3.3. ∎

Lemma 3.5.

For x4x\geq 4,

(53) H(x)>H(x)log(H(x))x2.H^{\prime}(x)>\frac{H(x)\log(H(x))}{x^{2}}.
Proof.

We will use (51) from [5] which states that

(54) 1ψ(x)x+6π21\frac{1}{\psi^{\prime}(x)}\leq x+\frac{6}{\pi^{2}}-1

for x1x\geq 1. We calculate

(55) H(x)=ψ(x+1)1x+6π2>H(x)log(H(x))x2,H^{\prime}(x)=\psi^{\prime}(x+1)\geq\frac{1}{x+6\pi^{2}}>\frac{H(x)\log(H(x))}{x^{2}},

where the equality follows from taking the derivative of (42) and the second inequality follows from 3.4. ∎

Proposition 3.6.

The function

(56) g(x)=exp(H(x))log(H(x))xg(x)=\frac{\exp(H(x))\log(H(x))}{x}

is increasing for x4x\geq 4.

Proof.

We start with (3.5) from [6]:

(57) Hn=log(n)+γ+nxxx2dx\displaystyle H_{n}=\log(n)+\gamma+\int_{n}^{\infty}\frac{x-\lfloor x\rfloor}{x^{2}}\mathop{}\!\mathrm{d}x
exp(Hn)=eγnexp(nxxx2dx)\displaystyle\implies\exp(H_{n})=e^{\gamma}n\exp\left(\int_{n}^{\infty}\frac{x-\lfloor x\rfloor}{x^{2}}\mathop{}\!\mathrm{d}x\right)
exp(Hn)log(Hn)n=eγlog(Hn)exp(nxxx2dx).\displaystyle\implies\frac{\exp(H_{n})\log(H_{n})}{n}=e^{\gamma}\log(H_{n})\exp\left(\int_{n}^{\infty}\frac{x-\lfloor x\rfloor}{x^{2}}\mathop{}\!\mathrm{d}x\right).

Given kk\in\mathbb{N}, put

(58) gk(x)=eγlog(H(x))exp(xkttt2dt)g_{k}(x)=e^{\gamma}\log(H(x))\exp\left(\int_{x}^{k}\frac{t-\lfloor t\rfloor}{t^{2}}\mathop{}\!\mathrm{d}t\right)

so that limkgk(x)=g(x)\lim_{k\to\infty}g_{k}(x)=g(x). We compute

(59) gk(x)=eγexp(xkttt2dt)(H(x)H(x)+log(H(x))(xxx2)),g_{k}^{\prime}(x)=e^{\gamma}\exp\left(\int_{x}^{k}\frac{t-\lfloor t\rfloor}{t^{2}}\mathop{}\!\mathrm{d}t\right)\left(\frac{H^{\prime}(x)}{H(x)}+\log(H(x))\left(-\frac{x-\lfloor x\rfloor}{x^{2}}\right)\right),

so gk(x)>0g^{\prime}_{k}(x)>0 if and only if

(60) H(x)H(x)+log(H(x))(xxx2)H(x)H(x)log(H(x))x2>0,\frac{H^{\prime}(x)}{H(x)}+\log(H(x))\left(-\frac{x-\lfloor x\rfloor}{x^{2}}\right)\geq\frac{H^{\prime}(x)}{H(x)}-\frac{\log(H(x))}{x^{2}}>0,

which is the content of 3.5. Thus, g(x)g(x) is the limit of monotonically increasing functions and is therefore monotonically increasing. ∎

Corollary 3.7.

The sequence

(61) {exp(Hn)log(Hn)n}n=1\left\{\frac{\exp(H_{n})\log(H_{n})}{n}\right\}_{n=1}^{\infty}

is monotonically increasing.

Proof.

3.6 gives the result for n4n\geq 4 and we can manually check the smaller cases. ∎

Definition 3.8.

A number nn is superabundant if σ(m)/m<σ(n)/n\sigma(m)/m<\sigma(n)/n for all m<nm<n.

Theorem 3.9.

If there are counterexamples to the Kaneko-Lagarias inequality, the smallest such counterexample is a superabundant number.

Proof.

Suppose, for sake of contradiction, that mm is the smallest counterexample to the Kaneko-Lagarias inequality and that mm is not superabundant. Let nn be the greatest superabundant number <m<m. We calculate,

(62) σ(n)n>σ(m)nexp(Hm)log(Hm)m>exp(Hn)log(Hn)n,\frac{\sigma(n)}{n}>\frac{\sigma(m)}{n}\geq\frac{\exp(H_{m})\log(H_{m})}{m}>\frac{\exp(H_{n})\log(H_{n})}{n},

so n<mn<m violates the Kaneko-Lagarias inequality: a contradiction. ∎

3.2. Connection to Robin’s inequality

Theorem 3.10.

If Robin’s inequality holds for some nn\in\mathbb{N}, then the Kaneko-Lagarias inequality holds for nn.

Proof.

We use the approximation

(63) Hnlog(n)+γ+12n+1H_{n}\geq\log(n)+\gamma+\frac{1}{2n+1}

to calculate

(64) exp(Hn)log(Hn)neγ+12n+1nlog(log(n)+γ+12n+1)n>eγlog(log(n)),\displaystyle\frac{\exp(H_{n})\log(H_{n})}{n}\geq\frac{e^{\gamma+\frac{1}{2n+1}}n\log\left(\log(n)+\gamma+\frac{1}{2n+1}\right)}{n}>e^{\gamma}\log(\log(n)),

which implies the result. ∎

Note that we obtain the same result for the Lagarias inequality.

Acknowledgments. The first author thanks Jeff Lagarias for his comments and the references he provided. The third author thanks Keith Briggs for providing his code used to compute superabundant numbers, Perry Thompson and Owen McAllister for their help implementing it in Rust and Jean-Louis Nicolas for sharing the paper [2].

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