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Generalized Fibonacci Polynomials

Updated 14 July 2026
  • 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 {n}s,t\{n\}_{s,t}, generalized bivariate and kk-generalized recurrences, and multivariate rr-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 {Gn(x)}\{G_n(x)\} as a recurrence

G0(x)=p0(x),G1(x)=p1(x),Gn(x)=d(x)Gn1(x)+g(x)Gn2(x)for n2,G_0(x)=p_0(x),\quad G_1(x)=p_1(x),\quad G_n(x)=d(x)G_{n-1}(x)+g(x)G_{n-2}(x)\quad \text{for } n\ge 2,

with p0(x)p_0(x) a constant, p1(x),d(x),g(x)Z[x]p_1(x),d(x),g(x)\in \mathbb{Z}[x], and gcd(d(x),g(x))=1\gcd(d(x),g(x))=1 (Flórez et al., 2017). Within this framework, the literature separates GFP into two canonical types. A sequence is of Fibonacci type if p0(x)=0p_0(x)=0 and p1(x)p_1(x) is a nonzero constant; it is of Lucas type if kk0 with kk1 (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

kk2

where kk3 and kk4 are positive integers such that kk5 (Tsuno, 2021). Its generating function is

kk6

The associated Lucas-type sequence satisfies kk7, kk8, with generating function

kk9

(Tsuno, 2021).

Another standard parameterization uses real or integer parameters rr0, defining

rr1

with corresponding generalized Lucas polynomials rr2 defined by the same recurrence and initial conditions rr3, rr4 (Amdeberhan et al., 2013). This family specializes to classical Fibonacci numbers when rr5, to ordinary integers when rr6, and to rr7-integers when rr8 (Amdeberhan et al., 2013).

Broader generalizations are also standard. The generalized Fibonacci polynomials rr9 are defined by

{Gn(x)}\{G_n(x)\}0

where {Gn(x)}\{G_n(x)\}1 are real-coefficient polynomials with {Gn(x)}\{G_n(x)\}2, {Gn(x)}\{G_n(x)\}3, and {Gn(x)}\{G_n(x)\}4 (Uçar et al., 2017). At higher order, the {Gn(x)}\{G_n(x)\}5-Fibonacci polynomial in variables {Gn(x)}\{G_n(x)\}6 is defined by

{Gn(x)}\{G_n(x)\}7

and {Gn(x)}\{G_n(x)\}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

{Gn(x)}\{G_n(x)\}9

If G0(x)=p0(x),G1(x)=p1(x),Gn(x)=d(x)Gn1(x)+g(x)Gn2(x)for n2,G_0(x)=p_0(x),\quad G_1(x)=p_1(x),\quad G_n(x)=d(x)G_{n-1}(x)+g(x)G_{n-2}(x)\quad \text{for } n\ge 2,0 and G0(x)=p0(x),G1(x)=p1(x),Gn(x)=d(x)Gn1(x)+g(x)Gn2(x)for n2,G_0(x)=p_0(x),\quad G_1(x)=p_1(x),\quad G_n(x)=d(x)G_{n-1}(x)+g(x)G_{n-2}(x)\quad \text{for } n\ge 2,1 are its roots, then the Binet-like formulas are

G0(x)=p0(x),G1(x)=p1(x),Gn(x)=d(x)Gn1(x)+g(x)Gn2(x)for n2,G_0(x)=p_0(x),\quad G_1(x)=p_1(x),\quad G_n(x)=d(x)G_{n-1}(x)+g(x)G_{n-2}(x)\quad \text{for } n\ge 2,2

for Fibonacci type and

G0(x)=p0(x),G1(x)=p1(x),Gn(x)=d(x)Gn1(x)+g(x)Gn2(x)for n2,G_0(x)=p_0(x),\quad G_1(x)=p_1(x),\quad G_n(x)=d(x)G_{n-1}(x)+g(x)G_{n-2}(x)\quad \text{for } n\ge 2,3

for Lucas type, where G0(x)=p0(x),G1(x)=p1(x),Gn(x)=d(x)Gn1(x)+g(x)Gn2(x)for n2,G_0(x)=p_0(x),\quad G_1(x)=p_1(x),\quad G_n(x)=d(x)G_{n-1}(x)+g(x)G_{n-2}(x)\quad \text{for } n\ge 2,4 in the Lucas-type normalization (Flórez et al., 2017, Flórez et al., 2018). In the G0(x)=p0(x),G1(x)=p1(x),Gn(x)=d(x)Gn1(x)+g(x)Gn2(x)for n2,G_0(x)=p_0(x),\quad G_1(x)=p_1(x),\quad G_n(x)=d(x)G_{n-1}(x)+g(x)G_{n-2}(x)\quad \text{for } n\ge 2,5 notation, if G0(x)=p0(x),G1(x)=p1(x),Gn(x)=d(x)Gn1(x)+g(x)Gn2(x)for n2,G_0(x)=p_0(x),\quad G_1(x)=p_1(x),\quad G_n(x)=d(x)G_{n-1}(x)+g(x)G_{n-2}(x)\quad \text{for } n\ge 2,6 are the roots of G0(x)=p0(x),G1(x)=p1(x),Gn(x)=d(x)Gn1(x)+g(x)Gn2(x)for n2,G_0(x)=p_0(x),\quad G_1(x)=p_1(x),\quad G_n(x)=d(x)G_{n-1}(x)+g(x)G_{n-2}(x)\quad \text{for } n\ge 2,7, then

G0(x)=p0(x),G1(x)=p1(x),Gn(x)=d(x)Gn1(x)+g(x)Gn2(x)for n2,G_0(x)=p_0(x),\quad G_1(x)=p_1(x),\quad G_n(x)=d(x)G_{n-1}(x)+g(x)G_{n-2}(x)\quad \text{for } n\ge 2,8

(Uçar et al., 2017).

Generating functions are equally basic. For the two-parameter family G0(x)=p0(x),G1(x)=p1(x),Gn(x)=d(x)Gn1(x)+g(x)Gn2(x)for n2,G_0(x)=p_0(x),\quad G_1(x)=p_1(x),\quad G_n(x)=d(x)G_{n-1}(x)+g(x)G_{n-2}(x)\quad \text{for } n\ge 2,9,

p0(x)p_0(x)0

and for p0(x)p_0(x)1 one obtains

p0(x)p_0(x)2

(Amdeberhan et al., 2013, Uçar et al., 2017). For p0(x)p_0(x)3-Fibonacci polynomials,

p0(x)p_0(x)4

for p0(x)p_0(x)5 (Park et al., 2023).

The literature extends classical identities systematically. For Fibonacci-type GFP,

p0(x)p_0(x)6

giving the generalized Cassini identity (Flórez et al., 2017). In the p0(x)p_0(x)7-matrix formalism, for recurrence p0(x)p_0(x)8, one has

p0(x)p_0(x)9

and therefore

p1(x),d(x),g(x)Z[x]p_1(x),d(x),g(x)\in \mathbb{Z}[x]0

for Fibonacci-type initial value p1(x),d(x),g(x)Z[x]p_1(x),d(x),g(x)\in \mathbb{Z}[x]1 (Chen et al., 2020). The same formalism yields the Honsberger addition formula

p1(x),d(x),g(x)Z[x]p_1(x),d(x),g(x)\in \mathbb{Z}[x]2

and the generalized d’Ocagne identity

p1(x),d(x),g(x)Z[x]p_1(x),d(x),g(x)\in \mathbb{Z}[x]3

(Chen et al., 2020).

For generalized Fibonacci numbers in the broad recurrence p1(x),d(x),g(x)Z[x]p_1(x),d(x),g(x)\in \mathbb{Z}[x]4, the generalized Catalan identity states that for two second-order recurrences p1(x),d(x),g(x)Z[x]p_1(x),d(x),g(x)\in \mathbb{Z}[x]5 and p1(x),d(x),g(x)Z[x]p_1(x),d(x),g(x)\in \mathbb{Z}[x]6,

p1(x),d(x),g(x)Z[x]p_1(x),d(x),g(x)\in \mathbb{Z}[x]7

where p1(x),d(x),g(x)Z[x]p_1(x),d(x),g(x)\in \mathbb{Z}[x]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

p1(x),d(x),g(x)Z[x]p_1(x),d(x),g(x)\in \mathbb{Z}[x]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 gcd(d(x),g(x))=1\gcd(d(x),g(x))=10: if gcd(d(x),g(x))=1\gcd(d(x),g(x))=11, then

gcd(d(x),g(x))=1\gcd(d(x),g(x))=12

whereas otherwise the gcd is governed by a reduction algorithm and is often gcd(d(x),g(x))=1\gcd(d(x),g(x))=13 in classical cases (Flórez et al., 2017).

The two-parameter family gcd(d(x),g(x))=1\gcd(d(x),g(x))=14 also exhibits a Fibonacci-style gcd law: gcd(d(x),g(x))=1\gcd(d(x),g(x))=15 (Amdeberhan et al., 2013). This family supports Fibonomial coefficients

gcd(d(x),g(x))=1\gcd(d(x),g(x))=16

which specialize to ordinary binomial coefficients when gcd(d(x),g(x))=1\gcd(d(x),g(x))=17, to classical Fibonomials when gcd(d(x),g(x))=1\gcd(d(x),g(x))=18, and to gcd(d(x),g(x))=1\gcd(d(x),g(x))=19-binomial coefficients when p0(x)=0p_0(x)=00 (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 p0(x)=0p_0(x)=01 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 p0(x)=0p_0(x)=02 is a prime number, whereas Chebyshev polynomials of the second kind, Morgan-Voyce polynomials of Fibonacci type, and Vieta polynomials are reducible when p0(x)=0p_0(x)=03 is a prime number (Florez et al., 2022). For multivariate p0(x)=0p_0(x)=04-Fibonacci polynomials, the irreducibility statement is stronger: for p0(x)=0p_0(x)=05, p0(x)=0p_0(x)=06 is irreducible over p0(x)=0p_0(x)=07 (Park et al., 2023).

Resultants and discriminants encode further algebraic structure. For Fibonacci-type GFP with notation from the source, one has

p0(x)=0p_0(x)=08

and, in the case p0(x)=0p_0(x)=09, p1(x)p_1(x)0 constant, and p1(x)p_1(x)1 constant,

p1(x)p_1(x)2

For Lucas-type polynomials,

p1(x)p_1(x)3

(Flórez et al., 2018). The same paper gives derivative formulas, including

p1(x)p_1(x)4

when p1(x)p_1(x)5 is constant (Flórez et al., 2018).

A distinct arithmetic classification concerns integer values of generating functions after rational substitution. For

p1(x)p_1(x)6

if p1(x)p_1(x)7 and p1(x)p_1(x)8, then

p1(x)p_1(x)9

if and only if

kk00

A crucial step in the proof is the polynomial Pell-type equation

kk01

(Tsuno, 2021).

4. Determinants, matrices, and convolution constructions

Matrix realizations are a major organizing principle in GFP theory. For generalized bivariate Fibonacci kk02-polynomials kk03, lower Hessenberg matrices give exact determinant and permanent formulas. If kk04 is the kk05 Hessenberg matrix with diagonal kk06, superdiagonal kk07, and kk08 on the kk09-th subdiagonal, then

kk10

An alternative Hessenberg matrix kk11 with superdiagonal kk12 gives the same determinant, and analogous matrices kk13 and kk14 satisfy

kk15

(Kaygisiz et al., 2011).

For generalized order-kk16 Fibonacci polynomials kk17, determinant and permanent formulas again use structured Hessenberg matrices. The paper gives matrices kk18, kk19, kk20, and kk21 such that

kk22

(Sahin et al., 2011). These constructions generalize determinantal and permanental representations of generalized order-kk23 Fibonacci and Pell numbers.

Determinantal identities also extend to matrices whose entries are powers or products of generalized Fibonacci numbers. For the matrix

kk24

Theorem 5 in the source gives a closed formula for kk25 in terms of kk26, kk27, binomial coefficients, and companion sequence terms kk28 (Tangboonduangjit et al., 2015). The proofs use determinant calculus, the generalized Catalan identity, and a factorization lemma of the form

kk29

(Tangboonduangjit et al., 2015).

A different matrix-theoretic direction concerns right circulant matrices. For kk30, 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 kk31 (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 kk32-th roots kk33 of GFP admit determinant and permanent representations by lower Hessenberg/Stirling matrices. The general expansion is

kk34

where the Stirling operators of the first kind are kk35 (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 kk36-Fibonacci polynomials furnish a multivariate theory with explicit Binet-type formula, Cassini-like determinant identity, irreducibility for kk37, and an explicit partition sum

kk38

This formula connects the polynomials directly to integer partitions (Park et al., 2023). The same work identifies

kk39

so the kk40-Fibonacci polynomials coincide with complete ordinary Bell polynomials in the appropriate truncation, and it expresses Fubini numbers via a specialization involving kk41 (Park et al., 2023).

For kk42-generalized Fibonacci polynomials,

kk43

the extension to negative indices reveals a phenomenon absent from the classical kk44 case: there are exactly kk45 indices at which the polynomials vanish identically (Mane, 15 Jul 2025). The vanishing indices occur in blocks, with the kk46-th block at

kk47

for kk48 (Mane, 15 Jul 2025). The positive-index generating function is

kk49

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

kk50

modulo an arbitrary polynomial kk51, with kk52 (Chen et al., 2023). The sequence modulo kk53 is periodic. The rank of apparition kk54 is the least positive integer kk55 such that kk56, and the period kk57 is the least positive integer kk58 such that

kk59

If kk60, then

kk61

(Chen et al., 2023). The same paper emphasizes that the polynomial case is much more complicated than the integer case, and that the quotient kk62 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 kk63, the first-kind recurrence is

kk64

whereas the second-kind recurrence is

kk65

(Laugier et al., 2012). Their generating functions are rational; for example,

kk66

(Laugier et al., 2012).

6. Geometric, combinatorial, analytic, and applied directions

GFP have a rich combinatorial and geometric ecology. In the Hosoya-like polynomial triangle, one forms entries

kk67

where kk68 is a GFP sequence (Florez et al., 2017). The triangle satisfies double recurrences

kk69

(Florez et al., 2017). Its main structural theorem is the polynomial Star of David property: if kk70 and kk71 are the alternating vertices of the corresponding hexagon, then

kk72

and under broad conditions

kk73

(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 kk74 has a tiling interpretation: kk75 is the generating function for linear tilings of kk76 squares using monominos of weight kk77 and dominos of weight kk78 (Amdeberhan et al., 2013). Its explicit monomial expansion is

kk79

(Amdeberhan et al., 2013). The same source proves a generalized recurrence

kk80

and gives a binomial-theorem analogue

kk81

(Amdeberhan et al., 2013).

Analytic and figurate-number extensions also appear. Simplicial kk82-polytopic numbers defined on GFP are introduced by

kk83

with GFP factorial kk84 (López, 20 Jan 2025). The paper studies generating functions, kk85-identities, reciprocal sums, and introduces the generalized Fibonacci Zeta function

kk86

(López, 20 Jan 2025).

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 kk87 and

kk88

then kk89 is a root of kk90 (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 kk91: for square-free natural number kk92, the recurrence

kk93

has generating function

kk94

and the paper verifies that the integer-valued substitution classification is of the same form as the polynomial case for kk95, but not generally for higher square-free kk96 (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).

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