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. 2018 Apr 5;2018(1):75. doi: 10.1186/s13660-018-1670-6

A new sequence convergent to Euler–Mascheroni constant

Xu You 1,, Di-Rong Chen 2
PMCID: PMC5887013  PMID: 29657510

Abstract

In this paper, we provide a new sequence converging to the Euler–Mascheroni constant. Finally, we establish some inequalities for the Euler–Mascheroni constant by the new sequence.

Keywords: Euler–Mascheroni constant, Rate of convergence, Taylor’s formula, Harmonic sequence

Introduction

The Euler–Mascheroni constant was first introduced by Leonhard Euler (1707–1783) in 1734 as the limit of the sequence

γ(n):=m=1n1mlnn. 1.1

There are many famous unsolved problems about the nature of this constant (see, e.g., the survey papers or books of Brent and Zimmermann [1], Dence and Dence [2], Havil [3], and Lagarias [4]). For example, it is a long-standing open problem if the Euler–Mascheroni constant is a rational number. A good part of its mystery comes from the fact that the known algorithms converging to γ are not very fast, at least when they are compared to similar algorithms for π and e.

The sequence (γ(n))nN converges very slowly toward γ, like (2n)1. Up to now, many authors are preoccupied to improve its rate of convergence; see, for example, [2, 514] and references therein. We list some main results:

m=1n1mln(n+12)=γ+O(n2)(DeTemple [6]),m=1n1mlnn3+32n2+227240+107480n2+n+97240=γ+O(n6)(Mortici [13]),m=1n1mln(1+12n+124n2148n3+235760n4)=γ+O(n5)(Chen and Mortici [5]).

Recently, Mortici and Chen [14] provided a very interesting sequence

ν(n)=m=1n1m12ln(n2+n+13)(1180(n2+n+13)2+82835(n2+n+13)3+51512(n2+n+13)4+59293,555(n2+n+13)5)

and proved that

limnn12(ν(n)γ)=796,80143,783,740. 1.2

Hence the rate of the convergence of the sequence (ν(n))nN is n12.

Very recently, by inserting the continued fraction term into (1.1), Lu [9] introduced a class of sequences (rk(n))nN (see Theorem 1) and showed that

172(n+1)3<γr2(n)<172n3, 1.3
1120(n+1)4<r3(n)γ<1120(n1)4. 1.4

In fact, Lu [9] also found a4 without proof, and his works motivate our study. In this paper, starting from the well-known sequence γn, based on the early works of Mortici, DeTemple, and Lu, we provide some new classes of convergent sequences for the Euler–Mascheroni constant.

Theorem 1

For the Euler–Mascheroni constant, we have the following convergent sequence:

r(n)=1+12++1nlnnln(1+a1n)ln(1+a2n2),

where

a1=12,a2=124,a3=124,a4=1435760,a5=1160,a6=151290,304,a7=1896,.

Let

rk(n):=m=1n1mlnnm=1kln(1+amnm).

For 1k7, we have

limnnk+2(rk(n)γ)=Ck, 1.5

where

C1=124,C2=124,C3=1435760,C4=1160,C5=151290,304,C6=1896,C7=109,79322,118,400,.

Furthermore, for r2(n) and r3(n), we also have the following inequalities.

Theorem 2

Let r2(n) and r3(n) be as in Theorem 1. Then

1241(n+1)3<γr2(n)<1241n3, 1.6
14357601(n+1)4<r3(n)γ<14357601n4. 1.7

Remark 1

Certainly, there are similar inequalities for rk(n) (1k7); we omit the details.

Proof of Theorem 1

The following lemma gives a method for measuring the rate of convergence. This lemma was first used by Mortici [15, 16] for constructing asymptotic expansions or accelerating some convergences. For a proof and other details, see, for example, [16].

Lemma 1

If the sequence (xn)nN converges to zero and there exists the limit

limn+ns(xnxn+1)=l[,+] 2.1

with s>1, then there exists the limit

limn+ns1xn=ls1. 2.2

We need to find the value a1R that produces the most accurate approximation of the form

r1(n)=m=1n1mlnnln(1+a1n). 2.3

To measure the accuracy of this approximation, we usually say that an approximation (2.3) is better as r1(n)γ faster converges to zero. Clearly,

r1(n)r1(n+1)=ln(1+1n)1n+1+ln(1+a1n+1)ln(1+a1n). 2.4

Developing expression (2.4) into a power series expansion in 1/n, we obtain

r1(n)r1(n+1)=(12a1)1n2+(23+a1+a12)1n3+O(1n4). 2.5

From Lemma 1 we see that the rate of convergence of the sequence (r1(n)γ)nN is even higher as the value s satisfies (2.1). By Lemma 1 we have

(i) If a11/2, then the rate of convergence of the (r1(n)γ)nN is n2, since

limnn(r1(n)γ)=12a10.

(ii) If a1=1/2, then from (2.5) we have

r1(n)r1(n+1)=1121n3+O(1n4).

Hence the rate of convergence of the (r1(n)γ)nN is n3, since

limnn3(r1(n)γ)=124:=C1.

We also observe that the fastest possible sequence (r1(n))nN is obtained only for a1=1/2.

We repeat our approach to determine a1 to a7 step by step. In fact, we can easily compute ak, k15, by the Mathematica software. In this paper, we use the Mathematica software to manipulate symbolic computations.

Let

rk(n):=m=1n1mlnnm=1kln(1+amnm). 2.6

Then

rk(n)rk(n+1)=ln(1+1n)1n+1+m=1kln(1+am(n+1)m)m=1kln(1+amnm). 2.7

Hence the key step is to expand rk(n)rk(n+1) into power series in 1/n. Here we use some examples to explain our method.

Step 1: For example, given a1 to a4, find a5. Define

r5(n):=m=1n1mlnnm=15ln(1+amnm).

By using the Mathematica software (the Mathematica Program is very similar to that given further in Remark 2; however, it has the parameter a8) we obtain

r5(n)r5(n+1)=(1325a5)1n6+(438548,384+15a5)1n7+O(1n8). 2.8

The fastest possible sequence (r5(n))nN is obtained only for a5=1160. At the same time, it follows from (2.8) that

r5(n)r5(n+1)=15148,3841n7+O(1n8). 2.9

The rate of convergence of (r8(n)γ)nN is n7, since

limnn7(r5(n)γ)=151290,304:=C5.

We can use this approach to find ak (1k15). From the computations we may the conjecture an+1=Cn, n1. Now, let us check it carefully.

Step 2: Check a6=151290,304 to a7=1896.

Let a1,,a6, and r6(n) be defined as in Theorem 1. Applying the Mathematica software, we obtain

r6(n)r6(n+1)=11281n8+O(1n9). 2.10

The rate of convergence of (r6(n)γ)nN is n8, since

limnn8(r6(n)γ)=1896:=C6.

Finally, we check that a7=1896:

r7(n)r7(n+1)=(11287a7)1n8+(196,1932,764,800+28a7)1n9+O(1n10). 2.11

Since a7=1896 and

limnn9(r7(n)γ)=109,79322,118,400:=C7,

the rate of convergence of the (r7(n)γ)nN is n9.

This completes the proof of Theorem 1.

Remark 2

From the computations we can guess that an+1=Cn, n1. It is a very interesting problem to prove this. However, it seems impossible by the provided method.

Proof of Theorem 2

Before we prove Theorem 2, let us give a simple inequality, which follows from the Hermite–Hadamard inequality and plays an important role in the proof.

Lemma 2

Let f be a twice continuously differentiable function. If f(x)>0, then

aa+1f(x)dx>f(a+1/2). 3.1

By Pk(x) we denote polynomials of degree k in x such that all its nonzero coefficients are positive; it may be different at each occurrence.

Let us prove Theorem 2. Noting that r2()=0, we easily see that

γr2(n)=m=n(r2(m+1)r2(m))=m=nf(m), 3.2

where

f(m)=1m+1ln(1+1m)ln(1+a1m+1)ln(1+a2(m+1)2)+ln(1+a1m)+ln(1+a2m2).

Let D1=1/2. By using the Mathematica software we have

f(x)D11(x+1)5=300+2739x+11,434x2+24,870x3+28,314x4+15,936x5+3472x62x(1+x)5(1+2x)(3+2x)(1+24x2)(25+48x+24x2)>0

and

f(x)D11(x+12)5=P6(x)(x1)+151,0852x5(1+x)2(1+2x)(3+2x)(1+24x2)(25+48x+24x2)<0.

Hence, we get the following inequalities for x1:

D11(x+1)5<f(x)<D11(x+12)5. 3.3

Since f()=0, from the right-hand side of (3.3) and Lemma 2 we get

f(m)=mf(x)dxD1m(x+12)5dx=D14(m+12)4D14mm+1x4dx. 3.4

From (3.1) and (3.4) we obtain

γr2(n)m=nD14mm+1x4dx=D14nx4dx=D1121n3. 3.5

Similarly, we also have

f(m)=mf(x)dxD1m(x+1)5dx=D14(m+1)4D14m+1m+2x4dx

and

γr2(n)m=nD14m+1m+2x4dx=D14n+1x4dx=D1121(n+1)3. 3.6

Combining (3.5) and (3.6) completes the proof of (1.6).

Noting that r3()=0, we easily deduce

r3(n)γ=m=n(r3(m)r3(m+1))=m=ng(m), 3.7

where

g(m)=r3(m)r3(m+1).

Let D2=143288. By using the Mathematica software we have

g(x)D21(x+1)6=P12(x)288n(1+n)6(1+2n)(3+2n)(1+24n2)(25+48n+24n2)(1+24n3)P3(x)>0

and

g(x)D21(x+12)6=P12(x)(x4)+2,052,948,001,087,7759x(1+x)2(1+2x)6(3+2x)(1+24x2)(25+48x+24x2)(1+24x3)P3(x)<0.

Hence, for x4,

D21(n+1)6<g(x)<D21(x+12)6. 3.8

Since g()=0, by (3.8) we get

g(m)=mg(x)dxD2m(x+12)6dx=D25(m+12)5D25mm+1x5dx. 3.9

It follows from (3.7), (3.9), and Lemma 2 that

r3(n)γm=nD25mm+1x5dx=D25nx5dx=D2201n4. 3.10

Finally,

g(m)=mg(x)dxD2m(x+1)6dx=D25(m+1)5D25m+1m+2x5dx

and

r3(n)γm=nD25m+1m+2x5dx=D25n+1x5dx=D2201(n+1)4. 3.11

Combining (3.10) and (3.11) completes the proof of (1.7).

Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant Nos. 11571267, 61403034, and 91538112) and Beijing Municipal Commission of Education Science and Technology Program KM201810017009. Computations made in this paper were performed using Mathematica 9.0.

Authors’ contributions

The authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Footnotes

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