Abstract
In this paper, we introduce the fourth-order linear recurrence sequence and its generating function and obtain the exact coefficient expression of the power series expansion using elementary methods and symmetric properties of the summation processes. At the same time, we establish some relations involving Tetranacci numbers and give some interesting identities.
Keywords:
four-order linear recurrence sequence; Tetranacci numbers; generating function; power series; identity MSC:
11B83
1. Introduction and Results
Let be an integer, the Fibonacci polynomials are defined by the second-order linear recurrence sequence
with initial conditions , .
The generating function of the Fibonacci polynomials is given by
In particular, for are the famous Fibonacci numbers. These polynomials and numbers play extremely vital roles in the mathematical theories and applications and a significant amount of research has been carried out to obtain a variety of meaningful results by several authors (see [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15]). For example, Yuan Yi and Wenpeng Zhang (see [16]) researched the computational problem of the summation:
Yuankui Ma and Wenpeng Zhang (see [17]) acquired a different expression about the summation by introducing a new second order non-linear recursive sequence.
In [18], Taekyun Kim and others studied the properties of Fibonacci numbers by introducing the convolved Fibonacci numbers , which are given by the generating function
The authors gave a new formula for calculating by the elementary and combinatorial methods, and obtained some new and explicit identities of the convolved Fibonacci numbers, including the relationship between and the combination sums about Fibonacci numbers.
In this paper, we consider the Tetranacci numbers (see [19]), which are defined by the fourth-order linear recurrence relation
with .
It is obvious that
The Tetranacci numbers can be extended to negative index n arising from the rearranged recurrence relation
which yields the sequence of “nega-Tetranacci” numbers,
The generating function of the Tetranacci sequences is given by
Tetranacci numbers have important applications in combinatorial counting and graph theory, W. Marcellus E (see [20,21]) studied the arithmetical properties of , Rusen Li (see [22]) obtained some convolution identities for . Moreover, the summation calculation for different sequences is one of the hot topics in number theory, and many scholars have obtained a series of interesting results (see [23,24]). Therefore, it is very meaningful to further study the properties of the Tetranacci sequences. Inspired by the above references, for a real number , we can define a new function , which is given by
The main purpose of this paper is to study the relationship between and , and to prove some computational formulas of the fourth-order recurrence sequence by applying the elementary method and the symmetry properties of the summation processes. That is, we shall prove the following:
Theorem 1.
For a real numberand any integerwe have
where
denotes the summation over all four-dimensional nonnegative integer coordinatessuch that, and,for all positive integers n.
According to this theorem, we can obtain the following corollaries:
Corollary 1.
For any integerwe have
Corollary 2.
For any integerand, we have
Corollary 3.
For any integer, we have
where the double factorial is defined asfor even positive integers andfor odd positive integers.
Corollary 4.
For any integer, we have>
2. Several Simple Lemmas
To complete the proof of the theorem, we need the following two simple lemmas, which are essential to prove our main results.
Lemma 1.
For any integer, we have
whereandare the four roots of the equation.
Proof.
It is obvious that can be expressed the formula
Since , so we can get the system of equations
On the other hand, we observe that , , and .
It is clear that the Equation (3) implies
Then note that (4) can also be written as
Thus, we have
Hence, by (2) and (5), we immediately obtain
Now we have completed the proof of Lemma 1. □
Lemma 2.
For a real numberand any integerwe have
Proof.
For any non-negative integers and d, we have
where go through permutations of . □
Observe that the non-negative integers coordinates with is symmetrical, then we can obtain
On the other hand, we have
Then, applying (6) and (7), we obtain Lemma 2.
3. Proofs of the Main Results
In this section, we will prove our theorem and corollaries.
For any real number , applying the properties of power series, we have
we note that and satisfy , so
Then combining (8) and Lemma 1 and 2, we can obtain
This completes the proof of Theorem 1.
Since and , according to Theorem 1, we can easily obtain Corollary 1.
If we take in (1), we have
and then by Theorem 1, we can obtain
This completes the proof of Corollary 2.
If we take and in Theorem 1, since
we can immediately deduce Corollary 3 and Corollary 4.
4. Conclusions
The main results of this paper are to give some identities involving the fourth-order linear recurrence sequences by using two lemmas. We obtain some identities related to Tetranacci numbers, which gives us a better understanding of the properties of Tetranacci sequences. Although the characteristic equation of the fourth-order linear recurrence sequence has two real and two complex roots, with complicate irrational expressions, the expression in Theorem 1 does not use these roots, and depends only on the Tetranacci numbers. More importantly, we further verify that we can still get the properties of the higher-order linear recurrence sequence using the same method, noting that when the order of the linear recurrence sequence increases, the parameters become more complex, and the coefficients of its expansion will be more complicated.
Author Contributions
Writing–original draft: L.Q.; Writing–review and editing: Z.C.
Funding
This work is supported by the N. S. F. (11826203), (11826205) and (11771351) of P. R. China, Yulin University-Industry Collaboration Project (2016cxy-12).
Acknowledgments
The authors would like to thank the anonymous referees for their very helpful and detailed comments, which have significantly improved the presentation of this paper.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Koshy, T. Fibonacci and Lucas Numbers with Application; Wiley-interscience Publication: New York, NY, USA, 2001. [Google Scholar]
- Zhang, W. Some identities involving the Fibonacci numbers and Lucas numbers. Fibonacci Q. 2004, 42, 149–154. [Google Scholar]
- Ma, R.; Zhang, W. Several identities involving the Fibonacci numbers and Lucas numbers. Fibonacci Q. 2007, 45, 164–170. [Google Scholar]
- Kim, T.; Kim, D.; Dolgy, D.; Park, J. Sums of finite products of Chebyshev polynomials of the second kind and of Fibonacci polynomials. J. Inequal. Appl. 2018, 2018, 148. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Kim, T.; Kim, D.; Kwon, J.; Dolgy, D. Expressing Sums of Finite Products of Chebyshev Polynomials of the Second Kind and of Fibonacci Polynomials by Several Orthogonal Polynomials. Mathematics 2018, 6, 210. [Google Scholar] [CrossRef] [Scilit]
- Wu, Z.; Zhang, W. The sums of the reciprocals of Fibonacci polynomials and Lucas polynimials. J. Inequal. Appl. 2012, 2012, 134. [Google Scholar] [CrossRef] [Scilit]
- Wu, Z.; Zhang, W. Several identities involving the Fibonacci polyno- mials and Lucas polynimials. J. Inequal. Appl. 2013, 2013, 205. [Google Scholar] [CrossRef] [Scilit]
- Ye, X.; Zhang, Z. A common generalization of convolved generalized Fibonacci and Lucas polynomials and its applications. Appl. Math. Comput. 2017, 306, 31–37. [Google Scholar] [CrossRef] [Scilit]
- Wang, W.; Wang, H. Generalized Humbert polynomials via generalized Fibonacci polynomials. Appl. Math. Comput. 2017, 307, 204–216. [Google Scholar] [CrossRef] [Scilit]
- Slanina, P. Generalizations of Fibonacci polynomials and free linear groups. Linear Multilinear Algebra 2016, 64, 187–195. [Google Scholar] [CrossRef] [Scilit]
- Trucco, E. On Fibonacci polynomials and wandering domains. Bull. Lond. Math. Soc. 2015, 47, 663–674. [Google Scholar] [CrossRef] [Scilit]
- Kaygisiz, K.; Sahin, A. Determinantal and permanental representations of Fibonacci type numbers and polynomials. Rocky Mt. J. Math. 2016, 46, 227–242. [Google Scholar] [CrossRef] [Scilit]
- Holliday, S.; Komatsu, T. On the sum of reciprocal generalized Fibonacci numbers. Integers 2001, 11, 441–455. [Google Scholar] [CrossRef] [Scilit]
- Andre-Jeannin, R. Summation of certain reciprocal series related to Fibonacci and Lucas numbers. Fibonacci Q. 2001, 29, 200–204. [Google Scholar]
- Johann, C. q-Fibonacci polynomials. Fibonacci Q. 2003, 41, 31–40. [Google Scholar]
- Yi, Y.; Zhang, W. Some identities involving the Fibonacci polynomials. Fibonacci Q. 2002, 40, 314–318. [Google Scholar]
- Ma, Y.; Zhang, W. Some Identities Involving Fibonacci Polynomials and Fibonacci Numbers. Mathematics 2018, 6, 334. [Google Scholar] [CrossRef] [Scilit]
- Kim, T.; Dolgy, D.; Kim, D.; Seo, J. Convolved Fibonacci Numbers and Their Applications. Ars Comb 2017, 135, 119–131. [Google Scholar]
- Sloane, N.J.A. The On-Line Encyclopedia of Integer Sequences. Available online: http://oeis.org/A000078 (accessed on 13 November 2019).
- Marcellus, E.W. The Tetranacci sequence and generalizations. Fibonacci Q. 1992, 30, 9–20. [Google Scholar]
- Marcellus, E.W. Some properties of the Tetranacci sequence modulo m. Fibonacci Q. 1992, 30, 232–238. [Google Scholar]
- Li, R. Convolution identities for Tetranacci numbers. arXiv 2016, arXiv:1609.05272. [Google Scholar]
- Shen, S.; Chen, L. Some Types of Identities Involving the Legendre Polynomials. Mathematics 2019, 7, 114. [Google Scholar] [CrossRef] [Scilit]
- Zhang, Y.; Chen, Z. A New Identity Involving the Chebyshev Polynomials. Mathematics 2018, 6, 244. [Google Scholar] [CrossRef] [Scilit]
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