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• Research Article
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# A Sharp Double Inequality for Sums of Powers

Journal of Inequalities and Applications20112011:721827

https://doi.org/10.1155/2011/721827

• Received: 26 September 2010
• Accepted: 11 January 2011
• Published:

## Abstract

It is established that the sequences and are strictly increasing and converge to and , respectively. It is shown that there holds the sharp double inequality .

## Keywords

• Generate Function
• Power Series
• Accurate Estimate
• Open Interval
• Summation Formula

## 1. Introduction

was based on the equations with the false hypothesis that big is independent of (see [1, pages 63-64] and [2, pages 54-55]). Deriving (1.1b) the author used the Euler-Maclaurin summation formula and a generating function for the Bernoulli numbers.

Subsequently, Spivey published the correction of his demonstration as the Letter to the Editor . Additionally, Holland  published two different derivations of (1.1a) in the same issue as Spivey's correction appeared.

In this note, using only elementary techniques, we demonstrate that the sequence is strictly increasing and that (1.1a) holds; in addition, we establish a sharp estimate of the rate of convergence.

## 2. Monotone Convergence

The formula (1.1a) is illustrated in Figure 1, where the sequence is depicted. Its monotonicity is seen very clearly. Figure 1 The graph of the sequence .
To prove that the sequence is strictly increasing, we change the order of summation

Now, consider the function which is, for , strictly increasing on the open interval and , for any [4, page 42]. Consequently, the sequence is strictly increasing. We use Tannery's theorem for series (see  or [6, item 49, page 136]) to determine its limit.

Lemma 2.1 (Tannery).

Let a double sequence of complex numbers satisfy the following conditions:

(1)The finite limit exists for every fixed .

(2)There exists a sequence of positive constants such that for every satisfying the estimate , and the series converges. (In [6, item 49, page 136], we have the stronger supposition that for all ).

Proof.

Let all the conditions of the Lemma be satisfied and be given. Then we estimate for and for some . Moreover, for any , also for at some . Thus, for , we estimate
Now, using (2.1) and putting and into Tannery's Lemma, we obtain

## 3. The Rate of Convergence

Referring to Figure 1, the convergence of the sequence appears to be rather slow. The difference
determines the sequence . Its graph, shown in Figure 2, suggests it is monotonic increasing, which we will prove first. Figure 2 The graph of the sequence .
and, for , the sequence is strictly decreasing and converges to zero [4, (4)]. Thus, we have
To examine the monotonicity of the sequence , we study, using (3.3), (3.4), and (3.5), the difference , which is equal to
Next, we examine also the question of convergence of the above sequence. First, referring to (3.3), (3.5), and [4, page 29, equation (16)], there exists the limit
Moreover, according to (3.3), (3.5), and [4, (15)], the estimates
hold true for . Additionally, , due to (3.3) and (3.5). Thus, the estimate
is being valid for and with
According to (3.8) and differentiating the appropriate power series resulting from the geometric series, we obtain
Now, referring to (3.4) and (3.8)–(3.12), and applying Tannery's Lemma–-equation (2.2), with , we obtain the result
Therefore, using (3.1) and (3.7), we find the following sharp inequality
true for every . In addition, we have also the estimate

valid for every such that .

We have , and for the function we calculate , and . This way we obtain simple and rather accurate estimates
Consequently, we get, for example, a simple double inequality

Open Question 3.

Are the sequences and strictly concave?

## Declarations

### Acknowledgments

The author wishes to express his sincere thanks to Prof. I. Vidav for some useful suggestions and also to the referee whose comments made possible a significant improvement of the paper.

## Authors’ Affiliations

(1)
Department of Mathematics and Physics (KMF), Faculty of Civil and Geodetic Engineering (FGG), University of Ljubljana (UL), 1000 Ljubljana, Slovenia

## References

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