Submitted:
20 July 2026
Posted:
21 July 2026
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Abstract
Let \[ F(z):= (z+2)\zeta(z+1)\zeta(z+3) -(z+1)\zeta^2(z+2) -\zeta(z+1)\zeta(z+2), \qquad z>0. \] The positivity of \(F\) for positive real parameters arises as an extension of an inequality previously established for positive integer arguments. In this paper, we first introduce the tail function \[ \tau(s)=\zeta(s)-1 \] and derive the general lower bound \[ F(z)\ge \bigl(z-\tau(z+1)\bigr) \bigl(\tau(z+2)-\tau(z+3)\bigr), \qquad z>0. \] Consequently, \(F(z)>0\) whenever \[ \zeta(z+1)0,\qquad z>z_0. \] Numerically, \[ z_0\approx0.8337726517. \] We next introduce \[ H(x)= x\left( 1-\frac{\zeta(x+1)}{\zeta(x)} \right), \qquad x>1, \] and establish the exact identity \[ F(z) = \zeta(z+1)\zeta(z+2) \bigl(H(z+1)-H(z+2)\bigr). \] Thus the original positivity problem is equivalent to the unit-step inequality \[ H(x)>H(x+1), \qquad x>1. \] We further investigate known monotonicity results for shifted ratios of Riemann zeta values. The weighted shifted-ratio theorem of Guo and Qi provides useful monotonicity information but does not by itself imply the required unit-step inequality. A stronger two-variable zeta-ratio monotonicity theorem of Yang and Tian, when applied with the precise normalization considered below, yields the estimate \[ \frac{\zeta(x+2)}{\zeta(x+1)} > \frac{2}{ 3-\zeta(x+1)/\zeta(x) }, \qquad x>1. \] An elementary comparison shows that this estimate is sufficiently strong to imply the required unit-step inequality for \(H\) and, consequently, the positivity of \(F(z)\) for every \(z>0\).
Keywords:
Riemann zeta function
; zeta inequalities
; log-convexity
; tail sums
; special functions
; monotonicity
MSC: 11M06; 26D07; 33B15
1. Introduction
The Riemann zeta function is defined, for , by
It is one of the central functions of analytic number theory and has important connections with special functions, probability theory, mathematical physics, and the theory of inequalities.
A considerable body of work has been devoted to inequalities, convexity properties, monotonicity, and ratio estimates associated with the Riemann zeta function and related Dirichlet functions. Cerone and Dragomir [2] investigated several inequalities involving the Riemann zeta function and related convexity properties. Chen, Guo, and Wang [3] studied logarithmic convexity and log-behaviour of sequences arising from zeta functions. Of particular relevance are inequalities and monotonicity properties involving ratios of zeta values. Yang and Tian [4] obtained sharp bounds for ratios of two Riemann zeta functions. Guo and Qi [6] studied increasing properties and logarithmic convexity of functions involving the Riemann zeta function, including functions of the form
They established monotonicity using integral representations and monotonicity rules for ratios of parameter-dependent integrals. Lim and Qi [7] and Qi and Lim [8] studied analogous properties for Dirichlet eta and lambda functions.
Against this background, Nantomah and Ravi [1] proved that, for every positive integer n,
and proposed the corresponding extension
as an open problem.
Define
The purpose of the present paper is to investigate the positivity of F on .
The principal contributions of this paper are threefold. First, we derive the explicit lower bound
by combining a direct series factorization with the log-convexity of the tail function . This yields an independent proof of positivity on the interval
where is the unique positive solution of
Second, we reformulate the full problem exactly as a unit-step inequality for the function
Third, we connect this formulation with contemporary monotonicity results for ratios of shifted zeta values. In particular, an application of a two-variable monotonicity theorem of Yang and Tian leads to a stronger consecutive-ratio bound that yields the desired positivity throughout the full range .
Our first approach is based on the tail function
Writing
and introducing
we decompose into a linear part L and a quadratic part T. A direct series factorization gives a lower estimate for L, whereas the log-convexity of provides the Turán-type estimate
which is used to control T.
Combining these estimates yields the fundamental inequality
Since is strictly decreasing, the second factor is strictly positive. Consequently,
is a sufficient condition for .
We then analyze the equation
and prove that it has a unique positive solution . Consequently, the desired inequality holds for every
A numerical solution of the defining equation gives
The numerical approximation is included only to indicate the location of the threshold and is not required in the proof.
In particular, the present argument strengthens the initial range
to the larger interval
Thus the present lower-bound method establishes positivity below . The interval not covered by this method is
No conclusion concerning the sign of on this interval follows merely from the failure of the present lower bound to be positive there.
Finally, motivated in part by contemporary work on ratios of zeta values, we introduce
We establish the exact identity
It follows that the original inequality for all is equivalent to the unit-step decrease condition
Accordingly, the outstanding part of the problem is reduced to establishing
Strict monotonicity of H on would provide a stronger sufficient condition, but is not necessary for resolving the original unit-step inequality.
2. Preliminaries
For , define
Clearly,
Lemma 1
(Strict monotonicity of the tail function). The function τ is strictly decreasing on .
Proof.
Let . For every integer ,
Since the corresponding series converge absolutely, summing over gives
Therefore is strictly decreasing on . □
Lemma 2
(Log-convexity of the tail function). The function
is log-convex on . In particular, for every ,
Proof.
Let and . Then
Applying Hölder’s inequality with conjugate exponents
we obtain
Therefore,
which proves that is log-convex on .
Taking
we obtain
Since all terms are positive, squaring both sides yields (2.1). □
Remark 1.
The preceding proof establishes the log-convexity of directly from its Dirichlet series representation. Thus no inference from the log-convexity of ζ itself is required. This distinction is important because log-convexity is not, in general, preserved under subtraction of a positive constant.
Remark 2
(A Turán-type interpretation). The inequality (2.1) is the discrete midpoint inequality associated with the log-convexity of τ. It may therefore be regarded as a Turán-type inequality with the orientation characteristic of log-convex functions.
Lemma 3
(Guo–Qi weighted shifted-ratio monotonicity [6]). For and , the function
is strictly increasing on .
Proof.
This is a result of Guo and Qi [6]. The proof uses an integral representation of the ratio and a monotonicity rule for ratios of parameter-dependent integrals. We refer to the original source for details. □
Corollary 1.
For , , the function
is strictly increasing on . Consequently, for ,
where . Hence
Theorem 1
(Yang–Tian two-variable monotonicity [5]). Let
Assume that Φ is defined on the diagonal by its continuous extension. Then Φ is strictly increasing with respect to each variable on .
Remark 3.
The exact normalization of Φ, the treatment of the diagonal , and the precise monotonicity hypotheses in Theorem 1 are stated as in the original work of Yang and Tian [5]. The theorem is used in the form presented above.
3. Results and Discussion
3.1. Algebraic Decomposition and Preliminary Estimates
Let
so that . Define
Lemma 4
(Algebraic decomposition). For every ,
where
and
Proof.
Since
we have
Now
Therefore
Expanding and collecting the linear and quadratic terms gives
Hence
□
Lemma 5
(Lower bound for the linear part). For every ,
Proof.
Using the series representations of A, B, and C, we obtain
The numerator factors as
Thus
Since ,
Therefore
□
Lemma 6
(Lower bound for the quadratic part). For every ,
Proof.
By Lemma 2,
Since ,
Consequently,
□
3.2. Fundamental Lower Bound
Theorem 2
(Fundamental lower bound). For every ,
Proof.
By Lemma 4,
Lemmas 5 and 6 give
and
Hence
Since
and
we obtain (3.3). □
Corollary 2
(A sufficient condition). If satisfies
then
Proof.
By Lemma 1,
Moreover,
is equivalent to
Thus
The conclusion follows from Theorem 2. □
3.3. Threshold Analysis
We now determine precisely the range obtained from the sufficient condition in Corollary 2.
Define
Lemma 7.
The function g is strictly increasing on .
Proof.
For ,
Therefore
Hence g is strictly increasing on . □
Theorem 3
(Existence and uniqueness of the threshold). There exists a unique such that
Moreover,
for every .
Proof.
Since as ,
On the other hand,
By continuity, there exists at least one satisfying
By Lemma 7, g is strictly increasing, so this zero is unique.
Furthermore, if , then
Therefore
or equivalently,
□
Theorem 4
(Improved partial resolution). Let denote the unique positive solution of (3.4). Then
for every
Numerically,
Proof.
Let . By Theorem 3,
Therefore, by Corollary 2,
□
Corollary 3.
Let denote the unique positive solution of (3.4). Then the inequality
holds for every
Consequently, the interval not covered by the present lower-bound method is
Remark 4
(Numerical value of the threshold). The threshold is defined analytically as the unique solution of (3.4). Numerically solving this equation gives
The proof of the positivity result on depends only on the existence and uniqueness of and not on its numerical approximation.
3.4. Equivalent Unit-Step Formulation
Define
Theorem 5
(Equivalent unit-step formulation). For every ,
Consequently,
Equivalently, the original inequality holds for every if and only if
Proof.
Set
Then
Since
we may write
On the other hand,
and
Therefore,
Hence
Substituting yields (3.5).
Since
for every , we conclude that
Finally, setting
we have , and hence the original inequality holds for every if and only if (3.6) holds. □
Corollary 4
(A sufficient monotonicity criterion). If
is strictly decreasing on , then
for every .
Proof.
Let . Then
If H is strictly decreasing on , it follows that
Therefore, by Theorem 5,
□
Remark 5.
The exact condition equivalent to the original zeta-function inequality is the unit-step decrease condition (3.6). Strict monotonicity of H on is a stronger sufficient condition, but it is not necessary for the unit-step inequality. Thus, a complete solution of the original problem requires only the proof of (3.6).
3.5. Monotonicity Results for Shifted Zeta Ratios
Define
Since the Riemann zeta function is strictly decreasing on ,
The exact H-function formulation gives
if and only if, with ,
Equivalently,
We now compare this required estimate with known monotonicity results for shifted zeta ratios.
3.5.1. The Guo–Qi Weighted-Ratio Result
By Lemma 3 and its corollary, we have
Although (3.8) provides nontrivial information about consecutive zeta ratios, it does not by itself imply (3.7). Thus the Guo–Qi theorem alone does not resolve the present problem.
3.5.2. A Two-Variable Zeta-Ratio Approach
By Theorem 1, the function
is strictly increasing in each variable. Define
Then Q is strictly increasing on , because for ,
Hence
We now derive a stronger ratio bound using this fact.
Theorem 6
(Consecutive zeta-ratio bound). For every ,
Proof.
Let
and
Since is positive and strictly decreasing on ,
From the definition of Q,
Similarly,
By (3.9), . Hence
Multiplying by gives
Since , all denominators are positive, so cross-multiplication yields
Expanding,
Hence
or
Since ,
Substituting the definitions of a and b proves (3.10). □
3.6. Comparison with the Required Ratio Bound
Lemma 8.
Let and . Then
Proof.
Since all denominators are positive, the desired inequality is equivalent to
The difference between the two sides factors as
Since
we have
Moreover,
because and . Therefore,
It follows that
and hence (3.11). □
3.7. Complete Positivity Theorem
Theorem 7
(Main theorem). For every ,
Proof.
Let
and define
By Theorem 6,
By Lemma 8,
Therefore,
Multiplying by gives
and hence
Substituting the definitions of a and b gives
Multiplying by
yields
Finally, substituting
gives
This proves the result. □
Corollary 5.
For every ,
where
Proof.
Since
we have
The proof of Theorem 7 shows that
Therefore,
□
Remark 6.
The conclusion
is exactly the unit-step inequality required for the original problem. The argument does not require the stronger assertion that H be strictly decreasing for every pair .
3.8. Discussion of the Two Approaches
The analysis developed in this paper reveals two complementary approaches to the original zeta-function inequality.
The first is the tail-function method. By introducing
we obtained the explicit lower bound (3.3). This result is independent of the ratio-monotonicity argument and provides a quantitative estimate for . It also yields the unconditional positivity result
where is the unique positive solution of (3.4).
The second approach is based on ratios of consecutive zeta values. Writing
the original problem becomes equivalent to (3.7). The Guo–Qi weighted shifted-ratio theorem yields (3.8), which is useful but not sufficiently strong to establish the required inequality.
In contrast, the two-variable Yang–Tian monotonicity theorem (Theorem 1) yields the stronger estimate (3.10). The elementary inequality (3.11) then gives the desired result.
Thus the tail-function and ratio-monotonicity methods serve different purposes. The tail-function approach provides an independent explicit lower bound and a self-contained partial proof, whereas the ratio-monotonicity approach yields the full positivity theorem. For this reason, the tail-function results should be retained even in the final version containing the complete proof. They constitute an independent quantitative contribution rather than merely an intermediate unsuccessful attempt.
4. Conclusions
We have investigated the inequality
Our first approach is based on the tail function
Using a direct series decomposition together with the log-convex Turán-type inequality (2.1), we established the fundamental lower bound (3.3). This provides an independent quantitative lower bound and proves positivity for
where is the unique positive solution of (3.4).
We then introduced the consecutive zeta ratio
and showed that the original problem is equivalent to
Equivalently, defining
the desired inequality is precisely the unit-step condition
The weighted shifted-ratio monotonicity theorem of Guo and Qi provides useful monotonicity information but is not by itself sufficient to establish this inequality. The stronger two-variable monotonicity theorem of Yang and Tian yields
Since
the required consecutive-ratio inequality follows. Consequently,
for every .
The two approaches are complementary. The tail-function method provides an independent explicit lower bound, while the zeta-ratio monotonicity method supplies the stronger estimate required for positivity throughout the entire positive real axis. Together, these results connect the original problem with log-convexity, Turán-type inequalities, and contemporary monotonicity theory for ratios of shifted Riemann zeta values.
References
- Nantomah, K.; Ravi, B. Solution to an open problem on Riemann zeta function. Int. J. Open Probl. Comput. Math. 2026, 19(3), 10–15. [Google Scholar]
- Cerone, P.; Dragomir, S. S. Some inequalities involving the Riemann zeta function. J. Inequal. Pure Appl. Math. 2009, 10(2), 58. [Google Scholar]
- Chen, W. Y. C.; Guo, J. J. F.; Wang, L. X. W. Zeta functions and the log-behaviour of combinatorial sequences. Proc. Edinb. Math. Soc. 2015, 58(3), 637–660. [Google Scholar] [CrossRef]
- Yang, Z.-H.; Tian, J.-F. Sharp bounds for the ratio of two zeta functions. J. Comput. Appl. Math. 2020, 364, 112359. [Google Scholar] [CrossRef]
- Yang, Z.-H.; Tian, J.-F. Monotonicity results involving the zeta function with applications. J. Math. Anal. Appl. 2023, 517(1), 126609. [Google Scholar] [CrossRef]
- Guo, B.-N.; Qi, F. Increasing property and logarithmic convexity of functions involving Riemann zeta function. arXiv 2022, arXiv:2201.06970. [Google Scholar]
- Lim, D.; Qi, F. Increasing property and logarithmic convexity of two functions involving Dirichlet eta function. J. Math. Inequal. 2022, 16(2), 463–469. [Google Scholar] [CrossRef]
- Qi, F.; Lim, D. Increasing property and logarithmic convexity of functions involving Dirichlet lambda function. Demonstr. Math. 2023, 56(1), 20220243. [Google Scholar] [CrossRef]
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