1. Introduction and Main Results
For any integer
, Fibonacci numbers are defined as follows:
Despite being a sequence of integers, the Fibonacci numbers can be expressed using powers of irrational numbers, known as Binet’s formula:
where
It is well-known that the Fibonacci sequence possesses a wealth of classic and important properties, spanning diverse fields such as number theory, algebra, combinatorics, and even geometry. Particularly noteworthy are the interesting summation formulas and combinatorial identities related to Fibonacci numbers, which play a vital role in number theory and combinatorial mathematics. These include, for instance, expressions for the partial sums
the square sum
and the famous Cassini’s identity
For comprehensive treatments of Fibonacci numbers and their properties, we refer to the classic literature [
1,
2,
3,
4,
5,
6,
7,
8,
9].
1.1. Reciprocal Sums in Linear Recurrence Sequences and Zeta Tails
The study of reciprocal sums of Fibonacci numbers gained significant momentum with the groundbreaking work of Ohtsuka and Nakamura [
10], who discovered remarkable properties of infinite reciprocal sums. They established the following exact identities:
where
denotes the largest integer not exceeding
x, and
.
Subsequently, considerable mathematical effort has been devoted to studying reciprocal sums of linear recurrence sequences, producing a range of substantial outcomes. For example, Zhang and the second author [
11] investigated the reciprocal sum of the Pell numbers and gained
where Pell numbers are defined by
and
. The second author [
12] focused on the reciprocal sum of the cube Fibonacci numbers. By guessing terms and comparing coefficients and complicated numerical calculations, she drew the conclusion that
where
. Other relevant results connected with the reciprocal sums of linear recurrence sequences can be found in [
13,
14,
15,
16].
A parallel line of research concerns the tail sums of the Riemann zeta function. For a positive integer
n and complex number
s with
, define
Significant work has been carried out on the reciprocal sums
for integer values of
s. For specific aspects of this topic, one may refer to References [
17,
18].
1.2. Methodological Challenges and Research Motivation
The existing literature demonstrates that increasing the complexity of the summand—whether through raising the power exponent in linear recurrence sequences or considering higher orders in zeta function tails—significantly increases computational difficulty and produces more intricate results.
This observation naturally leads to our research question: what novel phenomena emerge when combining reciprocals of linear recurrence sequences with the tail sums of the Riemann zeta function? Specifically, for the hybrid reciprocal sums
do analogous results exist as the previous reciprocal sums? This is an exceptionally challenging problem, and one that has remained entirely unexplored in previous research.
In fact, the hybrid nature of the problem in (
5) introduces substantial complexity beyond previous cases. Our preliminary investigations revealed that established methods from prior works [
10,
11,
12] are inadequate for this problem. The fundamental difficulty arises because the equation constructed from products of Fibonacci numbers and polynomial terms admits no exact solution.
Consequently, we adopt an alternative analytical strategy based on term-by-term approximation and inequality techniques.
1.3. Our Approach and Main Results
The main purpose of this paper is to analyze the reciprocal sum derived from the Fibonacci numbers:
Our methodology proceeds according to the following steps:
- (1)
For the sum in (
6), we first classify the initial term
n according to its parity (even or odd cases).
- (2)
For the first two terms in the summation, we employ the method of undetermined coefficients to construct upper and lower bounds, which are expressed in a difference form involving consecutive terms of
k. The specific constructions are detailed in formulae (
29), (
33), (
38) and (
42).
- (3)
We then sum the inequalities deduced from the previous step from the initial term
n to infinity, thereby obtaining the leading terms of the upper and lower bounds for (
6).
- (4)
By iterating the above process, we subsequently derive the remaining terms of the bounds.
The execution of Steps (2)–(4) relies critically on the repeated application of Cassini’s identity (
4), the recurrence properties of Fibonacci numbers, and the interconnections between Fibonacci and Lucas numbers. By employing these tools, we establish a series of symmetric inequalities for (
6). As a corollary, we also obtain an asymptotic formula for its integer part. We now present our main results.
Theorem 1. If n is even and , then we have Theorem 2. If n is odd and , then we have From the above theorems, we can immediately deduce the following conclusion:
Corollary 1. For any integer , we have Remark 1. The inequalities in Theorem 1 exhibit elegant symmetry: both bounds share the core structure , differing only in the sign of . This “mirror symmetry” maintains consistency in the main expression while using simple sign alternation to bound the reciprocal sum precisely.
Theorem 2 demonstrates a “perturbation symmetry,” where the lower bound incorporates a minor “” term. Relative to the order of , this perturbation is negligible, reflecting the sophisticated construction of symmetric relations in mathematics through minimal adjustment.
Remark 2. This paper is structured as follows. Section 2 establishes the necessary technical lemmas. Building on these foundations, Section 3 presents the proofs of Theorems 1 and 2. Finally, the proof of Corollary 1, which is a direct consequence of these theorems, is provided in Section 4. 2. Several Preliminary Lemmas
For any integer
, the Lucas numbers are defined by
Like the Fibonacci sequence, the Lucas sequence is a second-order linear recurrence sequence, and Binet’s formula is
where
and
are defined by (
3). In addition, it is easy to derive from (
2), (
4) and (
8) that
where
s and
t are non-negative integers.
We display four lemmas in this section, which will be indispensable in the proofs of Theorems 1 and 2. These four lemmas involve inequalities of Fibonacci and Lucas numbers with differing orders (e.g., , and in Lemma 3), which necessitates not only diverse proof techniques but also a case-by-case analysis of the parameter k.
Lemma 1. Letthen, holds for any integer . Proof. Firstly, we prove that for
, one has
Recall that
Substituting (
12) into (
11), one can get that
Let
Noting that
is a constant,
and
are quadratic functions in
k. Then, it follows from the fundamental properties of quadratic functions that
holds for
; meanwhile,
is always true for
.
Furthermore, since
and
are positive for all integers
, inequality (
13) holds for
. Direct verification for
and
confirms that (
13) also holds in these cases. We therefore conclude that inequality (
11) is valid for all integers
.
Secondly, we prove that for
, the following inequality holds:
Noting that
so, (
14) is equivalent to
It follows from the value of
defined by (
3) that inequality (
15) holds for all
, and consequently, inequality (
14) holds as well.
The combination of (
11) and (
14) shows
for
. A direct check confirms the cases
. □
Lemma 2. Letthen, holds for any integer . Proof. It is easy to verify that
, so let us focus on the case
. By (
10), we have
On the other hand, from the recurrence of Fibonacci numbers, one has
Substituting (
16)–(
19) into
, we get
where
Note that
By induction, we establish that
for all integers
. Furthermore, from the value of
defined by (
3) and the properties of Lucas numbers (
8), it is straightforward to verify that both
and
hold for any
.
Consequently, we prove that for all . □
Lemma 3. Letthen holds for any integer . Proof. Firstly, we prove that for
, the following inequality holds:
Let
then we can derive that
holds for
, which implies that (
21) is valid in this range. Furthermore, direct verification confirms that (
21) also holds for the remaining cases
.
Next, we prove that for
, one has
Equation (
9) yields that for all integers
,
Hence, it suffices to show
that is,
Given that
and
for any positive integer
k, inequality (
24) clearly holds for all
. It immediately follows that inequalities (
22) and (
23) must also hold.
Furthermore, from the value of
defined by (
3) and the properties of quadratic functions, we can derive that
holds for all
.
It follows from inequalities (
21), (
22) and (
25) that
for all
. Moreover, a direct substitution of
readily verifies that
also holds. □
Lemma 4. Letthen holds for any integer . Proof. First of all, we prove that for
, we have
Let
By induction, we establish that
for all
, which implies
. Moreover, from the value of
defined by (
3) we can show
. Hence, inequality (
26) holds for every integer
.
From the recurrence of the Fibonacci sequence, we can deduce that for
,
Combining (
26) and (
27), we complete the proof of Lemma 4. □
3. Proofs of the Theorems
3.1. Proof of Theorem 1
If
n is an even number, let
; then, Theorem 1 is reduced to
which is equivalent to
3.1.1. Proof of the Right-Hand-Side Inequality of (28)
Now, we prove that for all positive integers
, the following inequality holds:
For convenience, we let
Next, we prove
where
,
,
,
can be deduced from (
1), (
7) and (
9) as
Noting that for
,
,
,
,
are positive, so (
30) can be reduced to
From (
9), (
10) and the recurrence of the Fibonacci sequence, we can get that
Moreover,
Therefore,
It follows directly from Lemma 1 that
holds for all
. Consequently, inequalities (
29)–(
31) are established.
Now applying (
29) repeatedly, we get
that is,
□
3.1.2. Proof of the Left-Hand-Side Inequality of (28)
On the other hand, we prove that for any integer
, the following inequality holds:
Let
then we will prove
where
Recall that for integer
,
and
are both positive, so inequality (
34) is equivalent to
From (
1), (
7), (
9) and (
10), we can deduce
and
From the recurrence of the Fibonacci sequence, we have
An application of Lemma 2 shows that
for any integer
. Therefore, the inequalities (
33)–(
35) hold.
Applying (
33) repeatedly, one has
that is
□
Then, (
28) follows from (
32) and (
36), which completes the proof of Theorem 1. □
3.2. Proof of Theorem 2
Let
; then, Theorem 2 is equivalent to
or
3.2.1. Proof of the Right-Hand-Side Inequality of (37)
Next, we prove that for any integer
, the following inequality holds:
For convenience, we let
Then, we can prove
where
,
,
,
can be calculated from (
1), (
7) and (
9) as
For
, we notice that
and
are both positive, so inequality (
39) can be reduced to
By applying (
1), (
7), (
9) and (
10), one can obtain that
Furthermore,
Therefore,
From Lemma 3, we can easily find that
holds for any integer
; hence, inequalities (
38)–(
40) hold.
Applying (
38) repeatedly, we get
□
3.2.2. Proof of the Left-Hand-Side Inequality of (37)
Finally, we prove that for any integer
, the following inequality holds:
As usual, let
then we can prove
where
Note that for integer
,
and
are both positive, so inequality (
43) is equivalent to
Then we can derive that
Meanwhile,
Therefore,
From Lemma 4, we obtain
which implies the validity of (
42)–(
44).
Applying (
42) repeatedly, one can obtain
□
Therefore, (
37) follows from (
41) and (
45), which completes the proof of Theorem 2. □
4. Proof of Corollary 1
For the case
, with the help of Mathematica, we can get
On the other hand,
Taking
, we can obtain
It is easy to deduce from (
46) and (
47) that
and hence
For any integer
, by Theorems 1 and 2, one can easily conclude that
However, from the definition of the Fibonacci numbers, we know that
and
are of the same order. Hence, we have
Furthermore, for any real number
x, we have
Then, it follows from (
49) and (
50) that
Thus, we complete the proof of Corollary 1 from (
48) and (
51). □
5. Conclusions
Our study introduces a novel approach by combining reciprocals of linear recurrence sequences with the tail of the Riemann zeta function, and simultaneously establishes symmetric inequalities for these sums, both of which are unprecedented in the literature.
The methodology developed in this paper is, in principle, applicable to other linear recurrence sequences such as Pell numbers, Lucas numbers, and generalized k—Fibonacci sequences. However, it is important to note that different sequences are defined by distinct characteristic equations. Consequently, while the methods can be extended, the elegant symmetric inequalities established here for Fibonacci numbers are not guaranteed to hold for other sequences. We suggest this investigation of symmetry in other sequences as a promising direction for future research.
While our current work remains theoretical in mathematics, these connections suggest promising avenues for practical applications in computer science, combinatorial analysis, and beyond. For example:
The precise inequalities and asymptotic formulas derived for Fibonacci reciprocal sums can provide tight error bounds in the analysis of algorithms utilizing Fibonacci heaps or golden-ratio-based search techniques.
In computational number theory, these results offer new tools for studying Diophantine approximations involving the golden ratio and for analyzing the convergence properties of related infinite series.
The methodology may extend to combinatorial optimization problems where Fibonacci sequences naturally arise, such as in the analysis of certain graph structures and coding schemes.
In mathematical physics, similar reciprocal sum estimates have proven useful in the spectral analysis of one-dimensional quasicrystals and quantum walk models.
Author Contributions
All authors have equally contributed to this work. All authors have read and agreed to the published version of the manuscript.
Funding
This work is partially supported by the National Natural Science Foundations of China (Grant Nos. 12471009, 12301006) and partially supported by Beijing Natural Science Foundation (Grant No. 1242003).
Data Availability Statement
Data are contained within the article.
Acknowledgments
The authors would like to thank the reviewers and editors for their very helpful and detailed comments, which have greatly improved the quality of this paper. The authors would like to express the most sincere gratitude to Wenguang Zhai for his valuable advice and constant encouragement.
Conflicts of Interest
The authors declare no conflicts of interest.
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