Generalized Fibonacci Polynomials
- Generalized Fibonacci Polynomials are polynomial sequences defined by linear recurrences that extend Fibonacci and Lucas numbers through variable coefficients, higher order recurrences, and multivariate frameworks.
- They are analyzed via explicit Binet-type formulas, generating functions, and determinant identities to reveal structural identities, divisibility, and irreducibility properties.
- Applications of GFP span coding theory, combinatorial tiling, finite-field periodicity, and cryptography, demonstrating both theoretical depth and practical relevance.
Searching arXiv for recent and foundational papers on generalized Fibonacci polynomials to ground the article in the literature. Generalized Fibonacci polynomials (GFP) are polynomial sequences defined by linear recurrences that extend the classical Fibonacci and Lucas numbers to polynomial settings, variable coefficients, higher order recurrences, and multivariate frameworks. In the literature summarized here, the term encompasses several closely related constructions: second-order polynomial sequences of Fibonacci type and Lucas type, two-parameter polynomial families , generalized bivariate and -generalized recurrences, and multivariate -Fibonacci polynomials. Across these settings, GFP theory studies explicit Binet-type formulas, generating functions, divisibility and irreducibility, determinant and matrix realizations, geometric and combinatorial models, and applications ranging from coding theory to finite-field periodicity, orthogonality, and Markov processes (Flórez et al., 2017, Amdeberhan et al., 2013, Park et al., 2023).
1. Foundational definitions and principal classes
A central second-order definition treats a generalized Fibonacci polynomial sequence as a recurrence
with a constant, , and (Flórez et al., 2017). Within this framework, the literature separates GFP into two canonical types. A sequence is of Fibonacci type if and is a nonzero constant; it is of Lucas type if 0 with 1 (Flórez et al., 2017). The same classification is used in work on identities, strong divisibility, irreducibility, and orthogonality (Flórez et al., 2017, Florez et al., 2022, Coletti et al., 30 Sep 2025).
A frequently used special case is the recurrence
2
where 3 and 4 are positive integers such that 5 (Tsuno, 2021). Its generating function is
6
The associated Lucas-type sequence satisfies 7, 8, with generating function
9
(Tsuno, 2021).
Another standard parameterization uses real or integer parameters 0, defining
1
with corresponding generalized Lucas polynomials 2 defined by the same recurrence and initial conditions 3, 4 (Amdeberhan et al., 2013). This family specializes to classical Fibonacci numbers when 5, to ordinary integers when 6, and to 7-integers when 8 (Amdeberhan et al., 2013).
Broader generalizations are also standard. The generalized Fibonacci polynomials 9 are defined by
0
where 1 are real-coefficient polynomials with 2, 3, and 4 (Uçar et al., 2017). At higher order, the 5-Fibonacci polynomial in variables 6 is defined by
7
and 8 recovers the classical Fibonacci polynomials (Park et al., 2023).
2. Closed forms, generating functions, and structural identities
The second-order GFP framework is governed by the characteristic equation
9
If 0 and 1 are its roots, then the Binet-like formulas are
2
for Fibonacci type and
3
for Lucas type, where 4 in the Lucas-type normalization (Flórez et al., 2017, Flórez et al., 2018). In the 5 notation, if 6 are the roots of 7, then
8
Generating functions are equally basic. For the two-parameter family 9,
0
and for 1 one obtains
2
(Amdeberhan et al., 2013, Uçar et al., 2017). For 3-Fibonacci polynomials,
4
for 5 (Park et al., 2023).
The literature extends classical identities systematically. For Fibonacci-type GFP,
6
giving the generalized Cassini identity (Flórez et al., 2017). In the 7-matrix formalism, for recurrence 8, one has
9
and therefore
0
for Fibonacci-type initial value 1 (Chen et al., 2020). The same formalism yields the Honsberger addition formula
2
and the generalized d’Ocagne identity
3
For generalized Fibonacci numbers in the broad recurrence 4, the generalized Catalan identity states that for two second-order recurrences 5 and 6,
7
where 8 is the solution of the associated homogeneous recurrence (Tangboonduangjit et al., 2015). This identity underlies determinant formulas and many GFP specializations.
3. Divisibility, gcd structure, irreducibility, and integer-valued substitutions
A defining arithmetic question is when GFP retain Fibonacci-like divisibility. The strong divisibility property is
9
The complete characterization states that a GFP satisfies the strong divisibility property if and only if it is of Fibonacci type (Flórez et al., 2017). For Lucas-type polynomials, the gcd depends on the 2-adic valuation 0: if 1, then
2
whereas otherwise the gcd is governed by a reduction algorithm and is often 3 in classical cases (Flórez et al., 2017).
The two-parameter family 4 also exhibits a Fibonacci-style gcd law: 5 (Amdeberhan et al., 2013). This family supports Fibonomial coefficients
6
which specialize to ordinary binomial coefficients when 7, to classical Fibonomials when 8, and to 9-binomial coefficients when 0 (Amdeberhan et al., 2013).
Irreducibility theory is highly developed for second-order GFP. For Fibonacci-type sequences, under certain conditions the polynomials are irreducible if and only if 1 is a prime number (Florez et al., 2022). The paper records that the Fibonacci polynomials, Pell polynomials, Fermat polynomials, Lucas polynomials, Pell-Lucas polynomials, and Fermat-Lucas polynomials are irreducible when 2 is a prime number, whereas Chebyshev polynomials of the second kind, Morgan-Voyce polynomials of Fibonacci type, and Vieta polynomials are reducible when 3 is a prime number (Florez et al., 2022). For multivariate 4-Fibonacci polynomials, the irreducibility statement is stronger: for 5, 6 is irreducible over 7 (Park et al., 2023).
Resultants and discriminants encode further algebraic structure. For Fibonacci-type GFP with notation from the source, one has
8
and, in the case 9, 0 constant, and 1 constant,
2
For Lucas-type polynomials,
3
(Flórez et al., 2018). The same paper gives derivative formulas, including
4
when 5 is constant (Flórez et al., 2018).
A distinct arithmetic classification concerns integer values of generating functions after rational substitution. For
6
if 7 and 8, then
9
if and only if
00
A crucial step in the proof is the polynomial Pell-type equation
01
(Tsuno, 2021).
4. Determinants, matrices, and convolution constructions
Matrix realizations are a major organizing principle in GFP theory. For generalized bivariate Fibonacci 02-polynomials 03, lower Hessenberg matrices give exact determinant and permanent formulas. If 04 is the 05 Hessenberg matrix with diagonal 06, superdiagonal 07, and 08 on the 09-th subdiagonal, then
10
An alternative Hessenberg matrix 11 with superdiagonal 12 gives the same determinant, and analogous matrices 13 and 14 satisfy
15
For generalized order-16 Fibonacci polynomials 17, determinant and permanent formulas again use structured Hessenberg matrices. The paper gives matrices 18, 19, 20, and 21 such that
22
(Sahin et al., 2011). These constructions generalize determinantal and permanental representations of generalized order-23 Fibonacci and Pell numbers.
Determinantal identities also extend to matrices whose entries are powers or products of generalized Fibonacci numbers. For the matrix
24
Theorem 5 in the source gives a closed formula for 25 in terms of 26, 27, binomial coefficients, and companion sequence terms 28 (Tangboonduangjit et al., 2015). The proofs use determinant calculus, the generalized Catalan identity, and a factorization lemma of the form
29
(Tangboonduangjit et al., 2015).
A different matrix-theoretic direction concerns right circulant matrices. For 30, the determinant is given explicitly in Theorem 3.1 of the source, and the paper derives eigenvalues and determinants for right circulant matrices with entries 31 (Uçar et al., 2017). These formulas are then used to construct coding and decoding algorithms based on invertible right circulant matrices (Uçar et al., 2017).
The convolution viewpoint links GFP to symmetric function theory and arithmetic functions. Under convolution product, the rational 32-th roots 33 of GFP admit determinant and permanent representations by lower Hessenberg/Stirling matrices. The general expansion is
34
where the Stirling operators of the first kind are 35 (Conci et al., 2014). The paper states that this yields matrix representations of multiplicative arithmetic functions under the Dirichlet product into its divisible closure (Conci et al., 2014).
5. Higher-order, multivariate, finite-field, and negative-index extensions
The GFP literature extends far beyond second-order univariate recurrences. The 36-Fibonacci polynomials furnish a multivariate theory with explicit Binet-type formula, Cassini-like determinant identity, irreducibility for 37, and an explicit partition sum
38
This formula connects the polynomials directly to integer partitions (Park et al., 2023). The same work identifies
39
so the 40-Fibonacci polynomials coincide with complete ordinary Bell polynomials in the appropriate truncation, and it expresses Fubini numbers via a specialization involving 41 (Park et al., 2023).
For 42-generalized Fibonacci polynomials,
43
the extension to negative indices reveals a phenomenon absent from the classical 44 case: there are exactly 45 indices at which the polynomials vanish identically (Mane, 15 Jul 2025). The vanishing indices occur in blocks, with the 46-th block at
47
for 48 (Mane, 15 Jul 2025). The positive-index generating function is
49
and the negative-index theory requires a separate generating function (Mane, 15 Jul 2025).
Over finite fields, one studies the generalized Fibonacci sequence of polynomials
50
modulo an arbitrary polynomial 51, with 52 (Chen et al., 2023). The sequence modulo 53 is periodic. The rank of apparition 54 is the least positive integer 55 such that 56, and the period 57 is the least positive integer 58 such that
59
If 60, then
61
(Chen et al., 2023). The same paper emphasizes that the polynomial case is much more complicated than the integer case, and that the quotient 62 need not stabilize for prime powers.
A separate higher-order perspective appears in generalized Fibonacci polynomial sequences of the first and second kind. For order 63, the first-kind recurrence is
64
whereas the second-kind recurrence is
65
(Laugier et al., 2012). Their generating functions are rational; for example,
66
6. Geometric, combinatorial, analytic, and applied directions
GFP have a rich combinatorial and geometric ecology. In the Hosoya-like polynomial triangle, one forms entries
67
where 68 is a GFP sequence (Florez et al., 2017). The triangle satisfies double recurrences
69
(Florez et al., 2017). Its main structural theorem is the polynomial Star of David property: if 70 and 71 are the alternating vertices of the corresponding hexagon, then
72
and under broad conditions
73
(Florez et al., 2017). The same framework gives geometric interpretations of Cassini’s and Catalan’s identities and extends to the gibonomial triangle (Florez et al., 2017).
The two-parameter family 74 has a tiling interpretation: 75 is the generating function for linear tilings of 76 squares using monominos of weight 77 and dominos of weight 78 (Amdeberhan et al., 2013). Its explicit monomial expansion is
79
(Amdeberhan et al., 2013). The same source proves a generalized recurrence
80
and gives a binomial-theorem analogue
81
Analytic and figurate-number extensions also appear. Simplicial 82-polytopic numbers defined on GFP are introduced by
83
with GFP factorial 84 (López, 20 Jan 2025). The paper studies generating functions, 85-identities, reciprocal sums, and introduces the generalized Fibonacci Zeta function
86
Orthogonality introduces a different classification. In second-order GFP with Binet formula similar to Fibonacci and Lucas numbers, the paper on zeros and orthogonality states that familiar orthogonal polynomials include the Fermat, Fermat-Lucas, both types of Chebyshev polynomials, both types of Morgan-Voyce polynomials, and Vieta and Vieta-Lucas polynomials, whereas the Fibonacci, Lucas, Pell, and Pell-Lucas sequences are not orthogonal (Coletti et al., 30 Sep 2025). The same work gives a root-finding technique: for Fibonacci-type GFP, if 87 and
88
then 89 is a root of 90 (Coletti et al., 30 Sep 2025). It also identifies sufficient conditions under which an orthogonal GFP family induces a birth-and-death Markov chain and highlights Chebyshev polynomials of the first kind and Fermat-Lucas as examples (Coletti et al., 30 Sep 2025).
Applications include block coding and cryptography. Right circulant matrices with entries from generalized Fibonacci and Lucas polynomials are used to formulate coding and decoding algorithms; the paper emphasizes message blocking, multiplication by circulant encoding matrices, and decoding via inverses whose existence is controlled by determinant formulas (Uçar et al., 2017). Another application concerns polynomial inputs such as 91: for square-free natural number 92, the recurrence
93
has generating function
94
and the paper verifies that the integer-valued substitution classification is of the same form as the polynomial case for 95, but not generally for higher square-free 96 (Tsuno, 2021).
Taken together, these developments show that GFP are not a single sequence family but a broad research program on polynomial recurrences. The unifying core is the persistence of Fibonacci–Lucas phenomena—Binet formulas, rational generating functions, determinant models, divisibility patterns, and combinatorial expansions—under systematic generalization to polynomial coefficients, multivariate recurrences, finite fields, negative indices, and application-specific algebraic structures (Flórez et al., 2017, Flórez et al., 2018, Chen et al., 2023).