Keywords: Fibonacci number, Fibonacci polynomial, Lucas polynomial, determinant
Turkish Journal of Analysis and Number Theory, 2014 2 (5),
pp 189-192.
DOI: 10.12691/tjant-2-5-6
Received September 03, 2014; Revised October 06, 2014; Accepted October 14, 2014
Copyright © 2013 Science and Education Publishing. All Rights Reserved.
1. Introduction
Fibonacci numbers are a popular topic for mathematical enrichment and popularization. They are famous for a host of interesting and surprising properties and show up in text books, magazine articles, and web sites. Various sequences of polynomials by the names of Fibonacci and Lucas polynomials occur in the literature over a century. The Fibonacci polynomials and Lucas polynomials are closely related and widely investigated. Fibonacci polynomials appear in different frameworks. Fibonacci polynomials are special cases of Chebyshev polynomials and have been studied on a more advanced level by many mathematicians.
S. L. Basin [15] show that Q matrix generates a set of Fibonacci Polynomials satisfying the recurrence relation
with
 | (1.1) |
The Lucas Polynomials [1] are defined by the recurrence formula
with
 | (1.2) |
Generating function of Fibonacci polynomials is
 | (1.3) |
Generating function of Lucas polynomials is
 | (1.4) |
Explicit sum formula for (1.1) is given by
 | (1.5) |
where
a binomial coefficient and [x] is define as the greatest integer less than or equal to x.
Explicit sum formula for (1.2) is given by
 | (1.6) |
where
a binomial coefficient and [x] is defined as the greatest integer less than or equal to x.
Determinants have played a significant part in various areas in mathematics. For instance, they are quite useful in the analysis and solution of system of linear equations. There are different perspectives on the study of determinants. One may notice several practical and effective instruments for calculating determinants in the nice survey articles [7] and [8].
Much attention has been paid to the evaluation of determinants of matrices, especially when their entries are given recursively [8].
There is a long tradition of using matrices and determinants to study Fibonacci numbers. Bicknell – Johnson and Spears [11] use elementary matrix operations and determinants to generate classes of identities for generalized Fibonacci numbers. Cahill and Narayan [12] show how Fibonacci and Lucas numbers arise as determinants of some tridiagonal matrices. A. Benjamin, T. Cameron and J. Quinn [2], provides combinatorial interpretations for Fibonacci identities using determinants. T. Koshy [16] explained two chapters on the use of matrices and determinants in Fibonacci numbers. O. Sikhwal [13] explained determinants identities of Fibonacci sequences and its generalizations.
The Fibonacci and Lucas polynomials possess many fascinating properties which have been studied in [1] to [9] and [11] to [15]. In this paper, some determinant identities of Fibonacci polynomials are describe.
2. Determinan Identities
We define a family of Fibonacci polynomial as
where n and p are non negative integers, q and s are positive integers with
,
r=1.
Assume
then by (1.1)

Theorem 1: If n and p are non-negative integers, q is positive integer with
, r=1, Prove that
Proof:
Let
 | (2.1) |
Assume
then by (1.1) 
Now
 | (2.2) |
Applying
,
 | (2.3) |
Applying
,
 | (2.4) |
Applying
,
 | (2.5) |
Applying
,
 | (2.6) |
Expand along first row, we get
Put
,
,
, we get
 | (2.7) |
Corollary 1.1: If we put x = 1 in above result, for
, r=1, we get
 | (2.8) |
It can be proved easily.
Theorem 2: If n and p are non-negative integers, q is positive integer with
, r=1, Prove that
 | (2.9) |
Proof: Let
Assume
then by (1.1)
and
, then by (1.2),
.
Now
 | (2.10) |
Applying
,
 | (2.11) |
Interchanging
and
,
 | (2.12) |
Expand it, we get
 | (2.13) |
Assume
then by (1.1)
and then by (1.1) 
, we get
Corollary 2.1: If we put x = 1 in above result, we get
 | (2.14) |
It can be proved easily.
Theorem 3: If n and p are non-negative integers, q and s are positive integers with
,
r=1, Prove that
Proof: Assume
then by (1.1)
and
,
,
.
Let
 | (2.15) |
Applying
,
 | (2.16) |
Here two columns are identical, we get
 | (2.17) |
Corollary 3.1: If we put x = 1 in above result, we get
 | (2.18) |
It can be proved easily.
Theorem 4: If n and p are non-negative integers, q is positive integer with
, r=1, Prove that
 | (2.19) |
It can be proved same as Theorem 1.
Theorem 5: If n and p are non-negative integers, q is positive integer with
, r=1, Prove that
 | (2.20) |
It can be proved same as Theorem 1.
Theorem 6: If n and p are non-negative integers, q and s are positive integers with
,
r=1, Prove that
 | (2.21) |
Proof: Assume
then by (1.1)
and
,
,
It can be proved same as Theorem 1.
Corollary 6.1: If we put x = 1 in above result, we get
 | (2.22) |
It can be proved easily.
Theorem 7: If n and p are non-negative integers, q is positive integer with
, r=1 and
, Prove that
 | (2.23) |
Proof: Assume
then by (1.1)
.
It can be proved same as Theorem 1.
3. Conclusion
This paper describes determinant identities of Fibonacci polynomials. Determinants identities included various pattern of Fibonacci polynomials. Few results connected with Lucas polynomials. More identities can be developed with generalized polynomials and other classical polynomials.
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