A possible direct recycling of dredged sediments from the Usumacinta River (Mexico) into fired bricks

Mazhar Hussain; Daniel Levacher; Nathalie Leblanc; Hafida Zmamou; Irini Djeran-Maigre; Andry Razakamanantsoa; Ali Hussan; Mazhar Hussain; Daniel Levacher; Nathalie Leblanc; Hafida Zmamou; Irini Djeran-Maigre; Andry Razakamanantsoa; Ali Hussan

doi:10.3934/ctr.2023012

Clean Technologies and Recycling

2023, Volume 3, Issue 3: 172-192. doi: 10.3934/ctr.2023012

Previous Article Next Article

Research article Topical Sections

A possible direct recycling of dredged sediments from the Usumacinta River (Mexico) into fired bricks

1.
Normandie Université, Unicaen, UMR 6143 CNRS - M2C, 24 rue des Tilleuls, 14000 Caen, France
2.
UniLaSalle, Univ.Artois, EA7519 - Transformations & Agro-ressources, Normandie Université, 76130 Mont Saint Aignan, France
3.
Université Lyon, INSA Lyon, GEOMAS, 69621 Villeurbanne, France
4.
Université Gustave Eiffel, Département GERS, 44344 Bouguenais, France
5.
COMUE NU, Builders Engineering School, Builders Lab, 1 rue pierre et marie curie, 14610 Epron, France

Received: 06 July 2023 Revised: 20 August 2023 Accepted: 21 August 2023 Published: 20 September 2023

Reuse of dredged sediments is an effective approach to waste management. This study focuses on the reuse of Usumacinta River dredged sediments in fired bricks. Physico-chemical characteristics of sediments were investigated for their reuse. The grain size of sediments shows that Usumacinta sediments have a sandy texture with low organic matter. The presence of contaminants in these sediments is negligible. Suitability for bricks was observed with a clay workability chart, Winkler, and Augustinik diagram. Bricks were molded into cubic and prismatic brick specimens of size 20 × 20 × 20 mm³ and 15 × 15 × 60 mm³ for compressive and tensile strength. The molding moisture content of sediments was defined with the Sembenelli diagram. Bricks were dried at 60 ℃ and fired at a temperature of 700 to 1100 ℃. Linear shrinkage and density of Usumacinta sediments bricks increase with increasing temperature. Clayey sediments (T2 and J4) show higher shrinkage on drying. Testing of bricks shows their compressive strength varies between 0.10 to 19.38 MPa and the indirect tensile strength varies from 0.17 to 12.82 MPa. T2 sediment bricks have the lowest strength due higher percentage of sand. The compressive strength of bricks from T5 and J4 is comparatively higher and satisfies the strength requirements of bricks at a moderate temperature of 850 ℃.

Keywords:

Citation: Mazhar Hussain, Daniel Levacher, Nathalie Leblanc, Hafida Zmamou, Irini Djeran-Maigre, Andry Razakamanantsoa, Ali Hussan. A possible direct recycling of dredged sediments from the Usumacinta River (Mexico) into fired bricks[J]. Clean Technologies and Recycling, 2023, 3(3): 172-192. doi: 10.3934/ctr.2023012

Related Papers:

[1]	Adikanda Behera, Prasanta Kumar Ray . Determinantal and permanental representations of convolved (u, v)-Lucas first kind p-polynomials. AIMS Mathematics, 2020, 5(3): 1843-1855. doi: 10.3934/math.2020123
[2]	Letelier Castilla, William Ramírez, Clemente Cesarano, Shahid Ahmad Wani, Maria-Fernanda Heredia-Moyano . A new class of generalized Apostol–type Frobenius–Euler polynomials. AIMS Mathematics, 2025, 10(2): 3623-3641. doi: 10.3934/math.2025167
[3]	Waleed Mohamed Abd-Elhameed, Omar Mazen Alqubori . On generalized Hermite polynomials. AIMS Mathematics, 2024, 9(11): 32463-32490. doi: 10.3934/math.20241556
[4]	Waleed Mohamed Abd-Elhameed, Omar Mazen Alqubori, Ahmed Gamal Atta . A collocation procedure for the numerical treatment of FitzHugh–Nagumo equation using a kind of Chebyshev polynomials. AIMS Mathematics, 2025, 10(1): 1201-1223. doi: 10.3934/math.2025057
[5]	Waleed Mohamed Abd-Elhameed, Omar Mazen Alqubori . New results of unified Chebyshev polynomials. AIMS Mathematics, 2024, 9(8): 20058-20088. doi: 10.3934/math.2024978
[6]	Gonca Kizilaslan . The altered Hermite matrix: implications and ramifications. AIMS Mathematics, 2024, 9(9): 25360-25375. doi: 10.3934/math.20241238
[7]	Mohra Zayed, Shahid Ahmad Wani, William Ramírez, Clemente Cesarano . Advancements in $q$ -Hermite-Appell polynomials: a three-dimensional exploration. AIMS Mathematics, 2024, 9(10): 26799-26824. doi: 10.3934/math.20241303
[8]	Hasan Gökbaş . Some properties of the generalized max Frank matrices. AIMS Mathematics, 2024, 9(10): 26826-26835. doi: 10.3934/math.20241305
[9]	Yasmina Khiar, Esmeralda Mainar, Eduardo Royo-Amondarain, Beatriz Rubio . High relative accuracy for a Newton form of bivariate interpolation problems. AIMS Mathematics, 2025, 10(2): 3836-3847. doi: 10.3934/math.2025178
[10]	Waleed Mohamed Abd-Elhameed, Abdullah F. Abu Sunayh, Mohammed H. Alharbi, Ahmed Gamal Atta . Spectral tau technique via Lucas polynomials for the time-fractional diffusion equation. AIMS Mathematics, 2024, 9(12): 34567-34587. doi: 10.3934/math.20241646

Abstract

1. Introduction

Many sequences of polynomials are described by recursive formulas of order two. The investigations of different polynomials have garnered much interest from many authors. Some different degenerate polynomials were investigated in ^[1,2,3]. Some orthogonal polynomials were studied in ^[4,5,6]. Some other contributions concerning different sequences of polynomials can be found in ^{[7,8,9,10,11,12]}.

The Fibonacci and Lucas polynomials and their related numbers are of essential importance due to their various applications in biology, physics, statistics, and computer science ^[13]. Many authors were interested in introducing and investigating several generalizations and modifications of Fibonacci and Lucas polynomials. The authors of ^[14] investigated two classes that generalize Fibonacci and Lucas polynomials, and they utilized them to compute some radicals in reduced forms. In ^[15], Gauss-Fibonacci and Gauss-Lucas polynomials were studied along with their applications, while in ^[16], generalized Lucas polynomials and their links with Fibonacci and Lucas polynomials were discussed. Some other contributions regarding these polynomials and their applications can be found in ^[17,18,19].

The derivation of several formulas for special functions is of interest to several mathematicians. Some of these formulas play important roles in applied mathematics and, in particular, in numerical analysis; see for instance ^{[20,21,22,23]}. For example, it is possible to obtain spectral solutions of differential equations by expressing the different derivatives of various polynomials as combinations of their original ones (see, for example, ^[24] and ^[25]). In addition, the first-order derivatives of different polynomials may be utilized to apply a matrix approach to solve different types of differential equations (see ^[26,27,28]). Moreover, the formulas concerned with the repeated integrals of different special functions allow us to find numerical solutions to some important differential equations (see, for example, ^[29]).

Pell and Pell-Lucas polynomials are particular polynomials that generalize Fibonacci and Lucas polynomials. There are several contributions related to Pell and Pell-Lucas polynomials and their related numbers. For example, various studies on Pell and Pell-Lucas numbers can be found in the book by Koshy ^[30]. Formulas on the integration and derivative sequences of these polynomials have been given in ^[31]. Some Chebyshev and Pell connections have been derived in ^[32]. A kind of polynomials called "convolved $(p, q)$ Fibonacci polynomials" was considered in ^[33]. This type of polynomial generalizes many famous types of polynomials. For some other contributions related to Pell and Pell-Lucas polynomials and related numbers; reference can be made to ^{[34,35,36,37,38,39]}. In numerical analysis, these polynomials have also been employed to solve various differential equations; see for instance, ^[40,41,42].

In this paper, we are interested in investigating a particular class of the general class established in ^[33]. More precisely, we will investigate a class of polynomials called convolved Pell polynomials which generalizes the well-known class of Pell polynomials. We will develop new formulas for this type of polynomials. We note here that the contributions related to these polynomials are few. This provided the motivation for our study in this paper.

The novelty of the contributions of this paper can be listed in points as follows:

● New formulas concerned with this type of polynomial are established.

● New connections between these polynomials and different celebrated orthogonal and non-orthogonal polynomials are derived.

Here are the main points of the contributions of this paper:

● We establish new derivative formulas of convolved Pell polynomials based on the connection formulas between two convolved Pell polynomials of different parameters.

● We establish new derivative formulas of convolved Pell polynomials in terms of different well-known special functions. As a result, connection formulas between convolved Pell polynomials and some other polynomials can be deduced.

● We develop moments formulas of convolved Pell polynomials. These formulas can be calculated by using the reduction formulas of certain terminating hypergeometric functions.

● We deduce some results related to the Pell polynomials as special cases of those of the convolved Pell polynomials.

● We present some applications of the derived formulas.

● We present a new approach for the convolved Pell polynomials, based on matrix calculus.

The paper has the following structure. We will discuss some elementary properties of the convolved Pell polynomials in the next section. In addition, an overview of Jacobi polynomials (JPs) and the two classes of generalized Fibonacci and generalized Lucas polynomials is given. Section 3 is devoted to developing new expressions for the derivatives of the convolved Pell polynomials. Section 4 presents further formulas for the derivatives of convolved Pell polynomials as combinations of various special functions, including some orthogonal polynomials. Moments formulas of the convolved Pell polynomials are derived in Section 5 accompanied by some reductions for some specific cases. In Section 6, some applications of the derived formulas are presented. In Section 7, a matrix-based approach for the convolved Pell polynomials is proposed. Recurrence relations and determinant forms are two examples of the fundamental results that are presented. Section 8 provides some final thoughts.

2. Some fundamental properties of the convolved Pell polynomials

This section presents an overview of the convolved Pell polynomials. In addition, an account of JPs and the generalized Fibonacci and generalized Lucas polynomials is given.

2.1. An overview of the convolved Pell polynomials

For every complex number $M$ , the authors of ^[33] introduced the convolved $(a, b)$ -Fibonacci polynomials $G_{i, M}(x)$ , where $a(x)$ and $b(x)$ are polynomials with real coefficients. The polynomials $G_{i, M}(x)$ (of degree $i$ ) can be constructed by using the generating function:

$\left(1-a(x)\, t-b(x)\, t^2\right)^{-M} = \sum\limits_{i = 0}^{\infty}G_{i,M}(x)\, t^i,$

and they can be explicitly expressed as

$G_{i,M}(x) = \sum\limits_{r = 0}^{\left\lfloor \frac{i}{2}\right\rfloor}\binom{M+r-1}{r}\, \binom{M+i-r-1}{i-2r}\, a^{i-2r}(x)\, b^{r}(x),$

where $\left\lfloor z\right\rfloor$ denotes the floor function.

Moreover, these polynomials satisfy the following recursive formula:

$i\, G_{i,M}(x)-(M+i-1)\, a(x)\, G_{i-1,M}(x)-(2 M+i-2)\, b(x)\, G_{i-1,M}(x) = 0, \quad i\ge 2,$

with $G_{0.M}(x) = 1, \ G_{1, M}(x) = M\, a(x)$ .

In this paper, we are interested in investigating a subclass of the convolved $(a, b)$ -Fibonacci polynomials, that is the class of the convolved Pell polynomials $P_{i, M}(x)$ . This class corresponds to the following choice:

$a(x) = 2\, x,\quad b(x) = 1.$

In power form, Pell polynomials are presented as follows:

$\begin{equation} P_{i,M}(x) = \sum\limits_{r = 0}^{\left\lfloor \frac{i}{2}\right\rfloor} \frac{2^{i-2\, r}\, (M)_{i-r}}{r!\, (i-2\, r)!}\, x^{i-2r}, \end{equation}$

(2.1)

and the following recurrence relation applies

$\begin{equation} P_{i,M}(x) = \frac{2(i+M-1)}{i}\, x\, P_{i-1,M}(x) +\frac{(i+2\, M-2)}{i}\, P_{i-2,M}(x),\qquad i\ge 2, \end{equation}$

(2.2)

with $P_{0, M}(x) = 1, P_{1, M}(x) = 2Mx$ .

It can be shown that the inversion formula of $P_{i, M}(x)$ is

$\begin{equation} x^i = \frac{i!}{2^i} \sum\limits_{r = 0}^{\left\lfloor \frac{i}{2}\right\rfloor } \frac{(-1)^r}{r!\, (M)_{i-2 r}\, (M+i-2r+1)_r}\, P_{i-2r,M}(x). \end{equation}$

(2.3)

Remark 2.1. It is important to notice that the convolved Pell polynomials generalize the well-known Pell polynomials. In fact, when $M = 1$ , $P_{i, M}(x)$ become Pell polynomials, that is $P_{i}(x) = P_{i, 1}(x)$ .

2.2. Classical JPs

The standard JPs $P_{r}^{(\gamma, \delta)}(x), \ x\in[-1, 1], \ r\ge 0\, \ \gamma > -1, \delta > -1$ , (see ^[43]) can be expressed in the following hypergeometric form

$P_{r}^{(\gamma,\delta)}(z) = \frac{(\gamma+1)_{r}}{r!}\_{2}F_{1}\left.\left( \begin{array}{cc} -r, r+\gamma+\delta+1\\ \gamma+1 \end{array} \right|\frac{1-z}{2}\right).$

The normalized JPs may be given by (see ^[44])

$\begin{equation} J_{r}^{(\gamma,\delta)}(z) = \_{2}F_{1}\left.\left( \begin{array}{cc} -r, r+\gamma+\delta+1\\ \gamma+1 \end{array} \right|\frac{1-z}{2}\right). \end{equation}$

(2.4)

Remark 2.2. It is to be noted that $J_{r}^{(\gamma, \delta)}(z)$ which are defined in (2.4) satisfy:

$J_{r}^{(\gamma,\delta)}(1) = 1.$

An advantage of introducing such polynomials is that some well-known polynomials can be easily derived from them.

The following celebrated classes of polynomials are particular cases of $J_{r}^{(\gamma, \delta)}(z)$ :

$\begin{align*} &T_{r}(z) = J_{r}^{(-\frac12,-\frac12)}(z), &&U_{r}(z) = (r+1)\, J_{r}^{(\frac12,\frac12)}(z),\\ &V_{r}(z) = J_{r}^{(-\frac12,\frac12)}(z),&& W_{r}(z) = (2r+1)\, J_{r}^{(\frac12,-\frac12)}(z),\\ &\mathcal{L}_{r}(z) = J_{r}^{(0,0)}(z), &&C_{r}^{(\gamma)}(z) = J_{r}^{(\gamma-\frac12,\gamma-\frac12)}(z), \end{align*}$

where $T_{r}(z), U_{r}(z), V_{r}(z), W_{r}(z)$ , denote, respectively, the Chebyshev polynomials (CPs) of the first, second, third and fourth kinds, while $\mathcal{L}_{r}(z)$ and $C_{r}^{(\gamma)}(z)$ denote respectively, the Legendre and ultraspherical polynomials.

The corresponding shifted polynomials on $[0, 1]$ denoted by $\tilde{J}^{(\gamma, \delta)}_{r}(z)$ are defined by

$\tilde{J}^{(\gamma,\delta)}_{r}(z) = J^{(\gamma,\delta)}_{r}(2z-1).$

The polynomials $\tilde{J}_{r}^{(\gamma, \delta)}\ (z)$ have the following analytic form

$\begin{equation} \tilde{J}^{(\gamma,\delta)}_{r}(z) = \sum\limits_{i = 0}^{r} \frac{(-1)^{i}\, r!\, \Gamma (\gamma +1)\, (\delta +1)_r\, (\gamma +\delta +1)_{2 r-i}}{i!\, (r-i)!\, \Gamma (r+\gamma +1)\, (\gamma +\delta +1)_r\, (\delta +1)_{r-i}}\, z^{r-i}. \end{equation}$

(2.5)

The inversion formula of (2.5) is given by

$z^\ell = \sum\limits_{m = 0}^{\ell}\frac{\binom{\ell}{m} (\gamma+1)_{\ell-m}\, (\ell-m+\delta +1)_m} {(2 \ell-2 m+\gamma +\delta +2)_m\, (\ell-m+\gamma +\delta +1)_{\ell-m}}\, \tilde{J}^{(\gamma,\delta)}_{\ell-m}(z).$

The useful books ^[43,45] regarding JPs and related special families might be consulted.

2.3. Generalized Fibonacci and generalized Lucas polynomials

Assume the nonzero real numbers $A, B, R, S$ . The two generalized classes of Fibonacci and Lucas polynomials may be constructed, respectively, in accordance with the following recurrence relations:

$\begin{equation} F^{A,B}_{0}(z) = 1,\ F^{A,B}_{1}(z) = A\, z,\qquad F^{A,B}_{k}(x) = A\, z\, F^{A,B}_{k-1}(z)+B\, F^{A,B}_{k-2}(z),\quad k\ge 2, \end{equation}$

(2.6)

and

$\begin{equation} L^{R,S}_{0}(z) = 2,\ L^{R,S}_{1}(z) = R\, z,\qquad L^{R,S}_{k}(z) = R\, z\, L^{R,S}_{k-1}(z)+S\, L^{R,S}_{k-2}(z),\quad k\ge 2. \end{equation}$

(2.7)

The polynomials $F^{A, B}_{k}(z)$ and $L^{R, S}_{k}(z)$ can respectively be expressed by Binet's formulas as follows:

$F^{A,B}_{k}(z) = \frac{\left(A\, z+\sqrt{A^2\, z^2+4\, B}\right)^{k}-\left(A\, z-\sqrt{A^2\, z^2+4\, B}\right)^{k}}{2^{k}\, \sqrt{A^2\, z^2+4\, B}},$

and

$L^{R,S}_{k}(z) = \frac{\left(R\, z+\sqrt{R^2\, z^2+4\, S}\right)^k+\left(R\, z-\sqrt{R^2\, z^2+4\, S}\right)^k}{2^k}.$

The two analytic formulas of these polynomials are, respectively,

$F^{A,B}_{k}(z) = \sum\limits_{m = 0}^k A^{k-2 m} B^m \binom{k-m}{m} z^{k-2 m},\quad k\ge 0,$

and

$L^{R,S}_{k}(z) = k\, \sum\limits_{\ell = 0}^{\left\lfloor \frac{k}{2}\right\rfloor } \frac{R^{k-2 \ell}\, S^\ell \binom{k-\ell}{\ell}\, }{k-\ell}\, z^{k-2 \ell},\quad k\ge 1.$

Their inversion formulas are respectively given by

$z^m = \frac{1}{A^m}\, \sum\limits_{i = 0}^{\left\lfloor \frac{m}{2}\right\rfloor } \frac{(-1)^i (m-2 i+1) (m-i+2)_{i-1} B^i}{i!}\, F^{A,B}_{m-2i}(z),\quad m\ge 0,$

and

$z^m = \frac{1}{R^m}\,\sum\limits_{i = 0}^{\left\lfloor \frac{m}{2}\right\rfloor } \frac{\xi_{m-2\, i}(-1)^i\, (m-i+1)_i\, S^i}{i!}\, L^{R,S}_{m-2i}(z), \quad m\ge 0,$

with

$\begin{equation} \xi_{m} = \begin{cases}\frac12,&m = 0,\\ 0,& \text{otherwise}.\end{cases} \end{equation}$

(2.8)

Several polynomial sequences are specific ones of the two classes of generalized Fibonacci and generalized Lucas polynomials. More precisely, we have the following:

$\begin{align*} &F_{k+1}(x) = F^{1,1}_{k}(x),&& P_{k+1}(x) = F^{2,1}_{k}(x),\\ &\mathcal{F}_{k+1}(x) = F^{3,-2}_{k}(x),&& U_{k}(x) = F^{2,-1}_{k}(x),\\ &E_{k}(x,\mu) = F^{1,-\mu}_{k}(x), \end{align*}$

where $F_{k}(x), P_{k}(x), \mathcal{F}_{k}(x)$ are, respectively, the Fibonacci, Pell and Fermat polynomials, while $U_{k}(x)$ and $E_{k}(x, \mu)$ denote, respectively, the Chebyshev and the Dickson polynomials of the second kind.

Furthermore,

$\begin{align*} &L_{k}(x) = L^{1,1}_{k}(x),&& Q_{k}(x) = L^{2,1}_{k}(x),\\ &f_{k}(x) = L^{3,-2}_{k}(x),&&2\, T_{k}(x) = L^{2,-1}_{k}(x),\\ &D_{k}(t,\mu) = L^{1,-\mu}_{k}(x), \end{align*}$

where $L_{k}(x)$ denotes the Lucas polynomials, $Q_{k}(x)$ represents the Pell-Lucas polynomials, $f_{k}(x)$ denotes the Fermat-Lucas polynomials, while $T_{k}(x)$ and $D_{k}(t, \mu)$ denote, respectively, the Chebyshev and the Dickson polynomials of the first kind.

3. New derivative expressions of the convolved Pell polynomials

Here we derive new expressions for the high-order derivatives of the convolved Pell polynomials in terms of their original polynomials. To do this, we will follow a new approach that relies on utilizing the connection formula between convolved Pell polynomials with two different parameters. For this purpose, we prove two preliminary lemmas.

Lemma 3.1. Consider the non-negative integers $i, q$ with $i\ge q$ . We apply the following equation:

$\begin{equation} D^q P_{i,M}(x) = \frac{2^q\, \Gamma(q+M)}{\Gamma(M)}\, P_{i-q,M+q}(x). \end{equation}$

(3.1)

Proof. We proceed by induction. We first prove that the lemma applies for $q = 1$ , that is,

$\begin{equation} D P_{i,M}(x) = 2\, M\, P_{i-1,M+1}(x). \end{equation}$

(3.2)

The last relation can be easily proved by differentiating the power form representation of $P_{i, M}(x)$ in (2.1) to get

$\begin{align*} D P_{i,M}(x) = & \sum\limits_{r = 0}^{\left\lfloor \frac{i}{2}\right\rfloor} \frac{2^{i-2\, r}\, (M)_{i-r}}{r!\, (i-2\, r-1)!}\, x^{i-2r-1}\\ = & 2\, M\, \sum\limits_{r = 0}^{\left\lfloor \frac{i-1}{2}\right\rfloor} \frac{2^{i-2\, r-1}\, (M+1)_{i-r-1}}{r!\, (i-2\, r-1)!}\, x^{i-2r-1} = 2\, M\, P_{i-1,M+1}(x). \end{align*}$

Assume now that (3.1) is valid. For the proof to be complete, we need to show that

$\begin{equation} D^{q+1} P_{i,M}(x) = \frac{2^{q+1}\, \Gamma(q+M+1)}{\Gamma(M)}\, P_{i-q-1,M+q+1}(x). \end{equation}$

(3.3)

From (3.1), we have

$D^{q+1} P_{i,M}(x) = \frac{2^q\, \Gamma(q+M)}{\Gamma(M)}\, D\, P_{i-q,M+q}(x).$

If relation (3.2) is inserted into the last relation, then (3.3) can be immediately obtained. This ends the proof. □

Lemma 3.2. Let $P_{i, M}(x)$ and $P_{j, T}(x)$ be two convolved Pell polynomials of degrees $i$ and $j$ , respectively. The following connection formula applies:

$\begin{equation} P_{i,M}(x) = \frac{\Gamma(T)\, \Gamma(i+M)}{\Gamma(M)}\, \sum\limits_{\ell = 0}^{\left\lfloor \frac{i}{2}\right\rfloor }\, \frac{(-1)^\ell\, (i-2 \ell+T)\, (-\ell-M+T+1)_\ell}{\ell!\, \Gamma(i-\ell+T+1)\, (-i-M+1)_\ell}\, P_{i-2\, \ell,T}(x). \end{equation}$

(3.4)

Proof. We prove (3.4) by induction. For $i = 0$ , it is true. Assume that (3.4) holds for any positive number $m < i$ . Now, consider the recurrence relation satisfied by $P_{i, M}(x)$ in (2.2). The application of the induction hypothesis to $P^{M}_{i-1}(x)$ and $P^{M}_{i-2}(x)$ yields

$\begin{equation} P_{i,M}(x) = \frac{2(i+M-1)}{i}\, x\, \sum\limits_{L = 0}^{\left\lfloor \frac{i-1}{2}\right\rfloor }\, G_{\ell,i-1}\, P_{i-2\, \ell-1,T}(x)+\frac{(i+2\, M-2)}{i}\, \sum\limits_{L = 0}^{\left\lfloor \frac{i}{2}\right\rfloor -1}\, G_{\ell,i-2}\, P_{i-2\, \ell-2,T}(x), \end{equation}$

(3.5)

where

$G_{\ell,i} = \frac{(-1)^\ell\, \Gamma(T)\, \Gamma(i+M)\, (i-2 \ell+T)\, (-\ell-M+T+1)_\ell}{\ell!\, \Gamma(M)\, \Gamma(i-\ell+T+1)\, (-i-M+1)_\ell}.$

Based on the recurrence relation (2.2), we get

$x\, P_{i-2 \ell-1,T} = \frac{-i+2 \ell-2 T+2}{2 (i-2 \ell+T-1)}\, P_{i-2 \ell-2,T}(x)+ \frac{i-2 \ell}{2 (i-2 \ell+T-1)}P_{i-2 \ell,T}(x).$

If we insert the last relation into relation (3.5), we have

$\begin{equation} \begin{split} P_{i,M}(x) = &\frac{i+2 M-2}{i}\, \sum\limits_{\ell = 0}^{\left\lfloor \frac{i}{2}\right\rfloor-1 } G_{\ell,i-2}\, P_{i-2 \ell-2,T}(x) +\sum\limits_{\ell = 0}^{\left\lfloor \frac{i-1}{2}\right\rfloor } G_{\ell,i-1}\left(\frac{(i-2 \ell) (i+M-1)}{i (i-2 \ell+T-1)\, }\, P_{i-2 \ell,T}(x)\right.\\ &\left.-\frac{(i+M-1) (i-2 \ell+2 T-2)}{i (i-2 \ell+T-1)}\, P_{i-2 \ell-2,T}(x)\right). \end{split} \end{equation}$

(3.6)

Now, in order to prove (3.4), we prove it for both the two cases corresponding to $i$ even and $i$ odd.

From (3.6), it is easy to see that

$\begin{equation} \begin{split} P_{2i,M}(x) = &\frac{\Gamma (2 i+M)\, \Gamma (T)}{\Gamma (M)\, \Gamma (2 i+T)}\, P_{2i,T}(x) +\sum\limits_{\ell = 1}^{i-1} \left(\frac{(-1+ i+ M)\, G_{\ell-1,2i-2}}{i}\right.\\ &\left.-\frac{(-1+2 i+M) (i-\ell+ T)\, G_{\ell-1,2i-1}}{i\, (1+2i-2 \ell+T)}+\frac{(i-\ell) (-1+2 i+M)\, G_{\ell,2i-1}}{i\, (-1+2 i-2 \ell+T)}\right)\, P_{2 i-2\ell,T}(x)\\ &+\frac{(-1+i+M)\, G_{i-1,2i-2}}{i}-\frac{(-1+2 i+M) T\, G_{i-1,2i-1}}{i (1+T)}. \end{split} \end{equation}$

(3.7)

It is not difficult to show the identity:

$\begin{split} &\frac{(-1+i+ M)\, G_{\ell-1,2i-2}}{ i} -\frac{(-1+2 i+M) (i- \ell+ T)\, G_{\ell-1,2i-1}}{ i\,(1+2i-2 \ell+T)}\\ & +\frac{(i-\ell) (-1+2 i+M)\, G_{\ell,2i-1}}{i\, (-1+2 i-2 \ell+T)} = G_{\ell,2i}, \end{split}$

and accordingly, (3.7) turns into

$\begin{equation} \begin{split} P_{2i,M}(x) = &\frac{\Gamma (T)\, \Gamma (2 i+M)}{\Gamma (M)\, \Gamma (2 i+T)}\, P_{2i,T}(x) +\sum\limits_{\ell = 1}^{i-1}G_{\ell,2i}\, P_{2 i-2\ell,T}(x)\\ &+\frac{(i-1+M) G_{i-1,2i-2}}{i}-\frac{(-1+2 i+M) T\, G_{i-1,2i-1}}{i (1+T)}. \end{split} \end{equation}$

(3.8)

If we note the two identities

$\begin{align*} G_{0,2i} = &\frac{\Gamma (T)\, \Gamma (2 i+M)}{\Gamma (M)\, \Gamma (2 i+T)},\\ G_{i,2i} = &\frac{(-1+i+M) G_{i-1,2i-2}}{i}-\frac{(-1+2 i+M)\, T\, G_{i-1,2i-1}}{i (1+T)}, \end{align*}$

then, from (3.8), the following formula can be obtained:

$\begin{equation} P_{2i,M}(x) = \sum\limits_{\ell = 0}^i G_{\ell,2i}\, P_{2 i-2\, \ell,T}(x). \end{equation}$

(3.9)

Performing similar algebraic computations, it can be shown that

$\begin{equation} P_{2i+1,M}(x) = \sum\limits_{\ell = 0}^i G_{\ell,2i+1}\, P_{2 i-2\, \ell+1,T}(x). \end{equation}$

(3.10)

Merging the two formulas (3.9) and (3.10) leads to (3.4). This proves Lemma 3.2. □

Now, we can prove the main theorem in which the $q$ -th derivative of $P_{r, M}(x)$ is expressed as a combination of their original ones.

Theorem 3.1. Assume that $r$ and $q$ are two positive integers with $r\ge q\ge 1$ . The following formula is valid:

$\begin{equation} D^q P_{r,M}(x) = 2^q\, \sum\limits_{\ell = 0}^{\left\lfloor \frac{r-q}{2}\right\rfloor }\ (-1)^\ell\, \binom{\ell+q-1}{\ell} (-2 \ell+M-q+r) (-\ell+M-q+r+1)_{q-1}\, P_{r-q-2\, \ell,M}(x). \end{equation}$

(3.11)

Proof. From Lemma 3.2, we have

$\begin{equation} P_{r-q,M+q}(x) = \frac{\Gamma(M)\, \Gamma(M+r)}{\Gamma(M+q)}\, \sum\limits_{\ell = 0}^{\left\lfloor \frac{r-q}{2}\right\rfloor } \frac{(-1)^\ell \, (-\ell-q+1)_\ell\, (-2 \ell+M-q+r)}{\ell!\,(-M-r+1)_\ell\, \Gamma(-\ell+M-q+r+1)}\, P_{r-q-2\, \ell,M}(x). \end{equation}$

(3.12)

Formula (3.12) together with Lemma 3.1 yields the desired result given by (3.11). □

The derivatives of the Pell polynomials can be deduced from Theorem 3.1, by setting $M = 1$ .

Corollary 3.1. Assume that $r$ and $q$ are positive integers with $r\ge q\ge 1$ . The following expression for the Pell polynomials applies:

$D^q P_{r}(x) = 2^q \sum\limits_{\ell = 0}^{\left\lfloor \frac{r-q}{2}\right\rfloor } (-1)^\ell (1+r-2 \ell-q) \binom{\ell+q-1}{\ell} (r-\ell-q+2)_{q-1}\ P_{r-q-2\, \ell}(x).$

4. Derivatives of the convolved Pell polynomials in terms of various polynomials

In this section, we present new expressions of $D^q P_{j, M}(x), \ j\ge q$ as combinations of some special functions.

4.1. Derivatives in terms of some orthogonal polynomials

Theorem 4.1. $D^q P_{j, M}(x), \ j\ge q$ can be expanded in terms of the ultraspherical polynomials $C^{(\lambda)}_{j}(x)$ as follows:

$\begin{equation} \begin{split} D^q P_{j,M}(x) = &\frac{2^{q+1}\, \Gamma (j+M)\, \Gamma (1+\lambda )}{\Gamma (M)\, \Gamma (1+2 \lambda )}\, \sum\limits_{\ell = 0}^{\left\lfloor \frac{j-q}{2}\right\rfloor } \frac{(j-2 \ell-q+\lambda )\, \Gamma (j-2 \ell-q+2 \lambda )}{\ell!\, (j-2 \ell-q)!\, \Gamma (1+j-\ell-q+\lambda )}\\ &\times \_{2} F_{1}\left.\left( \begin{array}{cc} -\ell,-j+\ell+q-\lambda\\ 1-j-M \end{array} \right|-1\right)\, C^{(\lambda)}_{j-q-2\ell}(x). \end{split} \end{equation}$

(4.1)

Proof. The analytical expression of $P_{j, M}(x)$ leads to the following formula

$D^q P_{j,M}(x) = \sum\limits_{r = 0}^{\left\lfloor \frac{j-q}{2}\right\rfloor } \frac{2^{j-2 r} \, (M)_{j-r} (1+j-q-2 r)_q}{(j-2 r)! r!}\, x^{j-q-2r}.$

After applying the inversion formula of $C^{(\lambda)}_{j}(x)$ (see ^[46]), the last formula turns into

$\begin{equation} \begin{split} D^q P_{j,M}(x) = &\frac{\sqrt{\pi }}{\Gamma (M) \Gamma \left(\frac{1}{2}+\lambda \right)} \sum\limits_{r = 0}^{\left\lfloor \frac{j-q}{2}\right\rfloor } \frac{2^{1-j+q+2 r-2 \lambda } 2^{j-2 r}\, \Gamma (j+M-r)}{r!}\\ &\ \ \times \sum\limits_{t = 0}^{\left\lfloor \frac{j-q}{2}\right\rfloor -r} \frac{(j-q-2 r-2 t+\lambda ) \Gamma (j-q-2 r-2 t+2 \lambda )}{t! (j-q-2 r-2 t)! \Gamma (1+j-q-2 r-t+\lambda )}\, C^{(\lambda)}_{j-2 r-q-2 t}(x). \end{split} \end{equation}$

(4.2)

Relation (4.2) turns into:

$\begin{split} D^q P_{j,M}(x) = &\frac{\sqrt{\pi}\, 2^{1+q-2\, \lambda}}{\Gamma (M) \Gamma \left(\frac{1}{2}+\lambda \right)} \sum\limits_{\ell = 0}^{\left\lfloor \frac{j-q}{2}\right\rfloor } \frac{(j-2 \ell-q+\lambda ) \Gamma (j-2 \ell-q+2 \lambda )}{(j-2 \ell-q)!}\\ &\ \ \times\sum\limits_{r = 0}^\ell \frac{\Gamma (j+M-r)}{r! (\ell-r)! \Gamma (1+j-\ell-q-r+\lambda )}\, C^{(\lambda)}_{j-q-2\ell}(x), \end{split}$

which can be converted to the form of (4.1). □

Some particular formulas can be obtained from (4.1) as special cases.

Corollary 4.1. $D^q P_{j, M}(x), \ j\ge q$ can be written as

$\begin{align} \begin{split} D^q P_{j,M}(x) = &\frac{2^{q-1}\, \sqrt{\pi }\, \Gamma (j+M)}{\Gamma (M)}\, \sum\limits_{\ell = 0}^{\left\lfloor \frac{j-q}{2}\right\rfloor } \frac{1+2 j-4 \ell-2 q}{\ell!\, \Gamma \left(\frac{3}{2}+j-\ell-q\right)}\_{2} F_{1}\left.\left( \begin{array}{cc} -\ell,-j+\ell+q-\frac12\\ 1-j-M \end{array} \right|-1\right)\times\\ &\mathcal{L}_{j-q-2\ell}(x), \end{split} \end{align}$

(4.3)

$\begin{align} \begin{split} D^q P_{j,M}(x) = &\frac{2^{q+1}\, \Gamma (j+M)}{\Gamma (M)}\, \sum\limits_{\ell = 0}^{\left\lfloor \frac{j-q}{2}\right\rfloor }\frac{1}{\ell!\, (j-\ell-q)!}\_{2} F_{1}\left.\left( \begin{array}{cc} -\ell,-j+\ell+q\\ 1-j-M \end{array} \right|-1\right)\, T_{j-q-2\ell}(x), \end{split} \end{align}$

(4.4)

$\begin{align} \begin{split} D^q P_{j,M}(x) = &\frac{2^{q}\, \Gamma (j+M)}{\Gamma (M)}\, \sum\limits_{\ell = 0}^{\left\lfloor \frac{j-q}{2}\right\rfloor } \frac{1+j-2 \ell-q}{\ell!\, (j-\ell-q+1)!} \_{2} F_{1}\left.\left( \begin{array}{cc} -\ell,-j+\ell+q-1\\ 1-j-M \end{array} \right|-1\right)\, U_{j-q-2\ell}(x), \end{split} \end{align}$

(4.5)

where $\mathcal{L}_j(x)$ denotes the Legendre polynomials and $T_j(x)$ and $U_j(x)$ denote CPs of the first and second kind, respectively.

In what follows, making steps similar to those in the proof of Theorem 4.1, we give the expressions of the derivatives of the convolved Pell polynomials as combinations of Hermite, Laguerre, shifted Jacobi, generalized Fibonacci, generalized Lucas and Bernoulli polynomials.

Theorem 4.2. $D^q P_{j, M}(x), \ j\ge q$ can respectively be expanded in terms of the Hermite polynomials $H_{j}(x)$ and Laguerre polynomials $L^{(\gamma)}_{j}(x)$ as follows:

$\begin{align} D^q P_{j,M}(x) = &\frac{2^{q+1}\, \Gamma \left(\frac{3}{2}+j\right)}{\sqrt{\pi }} \sum\limits_{\ell = 0}^{\left\lfloor \frac{j-q}{2}\right\rfloor } \frac{1}{\ell!\, (j-2 \ell-q)!}\, \,_1F_1\left(-\ell;-\frac{1}{2}-j;1\right)\, H_{j-q-2\ell}(x), \end{align}$

(4.6)

$\begin{align} D^q P_{j,M}(x) = &\nu_{j}\, \left(\sum\limits_{\ell = 0}^{\left\lfloor \frac{j-q}{2}\right\rfloor } U_{\ell,j,q}\, L^{(\gamma)}_{j-q-2 \ell}(x)+\sum\limits_{\ell = 0}^{\left\lfloor \frac{1}{2} (j-q-1)\right\rfloor } \bar{U}_{\ell,j,q}\, L^{(\gamma)}_{j-q-2 \ell-1}(x)\right), \end{align}$

(4.7)

where

$\begin{align*} \nu_{j} = &(-1)^{j-q}\ 2^j\, (M)_j\, \Gamma (1+j-q+\gamma ),\\ U_{\ell,j,q} = & \frac{1}{(2 \ell)!\, \Gamma (1+j-2 \ell-q+\gamma )}\ \_{2} F_{3}\left.\left( \begin{array}{cc} -\ell,\frac{1}{2}-\ell\\ -\frac{3}{2}-j,-\frac{j}{2}+\frac{q}{2}-\frac{\gamma }{2},\frac{1}{2}-\frac{j}{2}+\frac{q}{2}-\frac{\gamma }{2} \end{array} \right|-\frac{1}{4}\right),\\ \bar{U}_{\ell,j,q} = &-\frac{1}{(2 \ell+1)!\, \Gamma (j-2 \ell-q+\gamma )}\ \_{2} F_{3}\left.\left( \begin{array}{cc} -\ell,\frac{1}{2}-\ell\\ -\frac{3}{2}-j,-\frac{j}{2}+\frac{q}{2}-\frac{\gamma }{2},\frac{1}{2}-\frac{j}{2}+\frac{q}{2}-\frac{\gamma }{2} \end{array} \right|-\frac{1}{4}\right). \end{align*}$

Theorem 4.3. $D^q P_{j, M}(x), \ j\ge q$ can be expanded in terms of the special class of JPs. $J^{(\gamma, \gamma+1)}_{r}(x)$ as follows:

$\begin{split} D^q P_{j,M}(x) = &\xi_{j}\, \left(\sum\limits_{\ell = 0}^{\left\lfloor \frac{j-q}{2}\right\rfloor } A_{\ell,j,q}\, J^{(\gamma,\gamma+1)}_{j-q-2 \ell}(x)+\sum\limits_{\ell = 0}^{\left\lfloor \frac{1}{2} (j-q-1)\right\rfloor } B_{\ell,j,q}\, J^{(\gamma,\gamma+1)}_{j-q-2 \ell-1}(x)\right), \end{split}$

where

$\begin{align*} \xi_{j} = &\frac{2^{-1+q-2 \gamma } \sqrt{\pi }\, (M)_j}{\Gamma (1+\gamma )},\\ A_{\ell,j,q} = & \frac{\Gamma (2+j-2 \ell-q+2 \gamma )}{\ell!\, (j-2 \ell-q)!\, \Gamma \left(\frac{3}{2}+j-\ell-q+\gamma \right)}\, \_{2} F_{1}\left.\left( \begin{array}{cc} -\ell,-\frac{1}{2}-j+\ell+q-\gamma\\ 1-j-M \end{array} \right|-1\right),\\ B_{\ell,j,q} = &\frac{\Gamma (1+j-2 \ell-q+2 \gamma )}{\ell!\, (j-2 \ell-q-1)!\, \Gamma \left(\frac{3}{2}+j-\ell-q+\gamma \right)}\, \_{2} F_{1}\left.\left( \begin{array}{cc} -\ell,-\frac{1}{2}-j+\ell+q-\gamma \\ 1-j-M \end{array} \right|-1\right). \end{align*}$

Corollary 4.2. $D^q P_{j, M}(x), \ j\ge q$ can be expanded in terms of the special class of CPs of the third kind as follows:

$\begin{equation} \begin{split} D^q P_{j,M}(x) = &2^q\, (M)_{j}\, \left(\sum\limits_{\ell = 0}^{\left\lfloor \frac{j-q}{2}\right\rfloor } \frac{1}{\ell! (j-\ell-q)!}\, \_{2} F_{1}\left.\left( \begin{array}{cc} -\ell,-j+\ell+q\\ 1-j-M \end{array} \right|-1\right)\, V_{j-q-2 \ell}(x)\right.\\ &+\left.\sum\limits_{\ell = 0}^{\left\lfloor \frac{1}{2} (j-q-1)\right\rfloor } \frac{1}{\ell! (j-\ell-q)!}\, \_{2} F_{1}\left.\left( \begin{array}{cc} -\ell,-j+\ell+q\\ 1-j-M \end{array} \right|-1\right)\, V_{j-q-2 \ell-1}(x)\right). \end{split} \end{equation}$

(4.8)

Proof. The result follows by taking into consideration that CPs of the third kind $V_{r}(x)$ are special cases of the polynomials $J^{(\gamma, \gamma+1)}_{r}(x)$ , for $\gamma = -\frac12$ . □

Corollary 4.3. $D^q P_{j, M}(x), \ j\ge q$ can be expanded in terms of the special class of CPs of the fourth kind as follows:

$\begin{equation} \begin{split} D^q P_{j,M}(x) = &2^q\, (M)_{j}\, \left(\sum\limits_{\ell = 0}^{\left\lfloor \frac{j-q}{2}\right\rfloor } \frac{1}{\ell! (j-\ell-q)!}\, \_{2} F_{1}\left.\left( \begin{array}{cc} -\ell,-j+\ell+q\\ 1-j-M \end{array} \right|-1\right)\, W_{j-q-2 \ell}(x)\right.\\ &-\left.\sum\limits_{\ell = 0}^{\left\lfloor \frac{1}{2} (j-q-1)\right\rfloor } \frac{1}{\ell! (j-\ell-q)!}\, \_{2} F_{1}\left.\left( \begin{array}{cc} -\ell,-j+\ell+q\\ 1-j-M \end{array} \right|-1\right)\, W_{j-q-2 p-1}(x)\right). \end{split} \end{equation}$

(4.9)

Proof. The result follows from the link between the CPs of the third and fourth kinds: $W_{n}(x) = (-1)^n\, V_{n}(-x)$ . □

Theorem 4.4. $D^q P_{j, M}(x), \ j\ge q$ can be expanded in terms of the shifted JPs $\tilde{J}^{(\gamma, \delta)}_{j}(x)$ as follows:

$\begin{equation} \begin{split} D^q P_{j,M}(x) = &\gamma_{j}\, \left(\sum\limits_{\ell = 0}^{\left\lfloor \frac{j-q}{2}\right\rfloor } S_{\ell,j,q}\, \tilde{J}^{(\gamma,\delta)}_{j-q-2 \ell}(x)+\sum\limits_{\ell = 0}^{\left\lfloor \frac{1}{2} (j-q-1)\right\rfloor } \bar{S}_{\ell,j,q}\, \tilde{J}^{(\gamma,\delta)}_{j-q-2 \ell-1}(x)\right), \end{split} \end{equation}$

(4.10)

where

$\begin{align*} \gamma_{j} = &\frac{2^{2+j}\, \Gamma \left(\frac{5}{2}+j\right)\, \Gamma (1+j-q+\delta )}{3\, \sqrt{\pi }\, \Gamma (1+\gamma )},\\ \begin{split} S_{\ell,j,q} = & \frac{(1+2 j-4 \ell-2 q+\gamma +\delta )\, \Gamma (1+j-2 \ell-q+\gamma )\, \Gamma (1+j-2 \ell-q+\gamma +\delta )}{(2 \ell)!\, (j-2 \ell-q)!\, \Gamma (1+j-2 \ell-q+\delta )\, \Gamma (2+2 j-2 \ell-2 q+\gamma +\delta )}\\ &\ \times\_{4} F_{3}\left.\left( \begin{array}{cc} \frac{1}{2}-\ell,-\ell,-\frac{1}{2}-j+\ell+q-\frac{\gamma }{2}-\frac{\delta }{2},-j+\ell+q-\frac{\gamma }{2}-\frac{\delta }{2} \\ -\frac{3}{2}-j,-\frac{j}{2}+\frac{q}{2}-\frac{\delta }{2},\frac{1}{2}-\frac{j}{2}+\frac{q}{2}-\frac{\delta }{2} \end{array} \right|-1\right), \end{split}\\ \begin{split} \bar{S}_{\ell,j,q} = & \frac{(-1+2 j-4 \ell-2 q+\gamma +\delta )\, \Gamma (j-2 \ell-q+\gamma )\, \Gamma (j-2 \ell-q+\gamma +\delta )}{(2 \ell+1)!\, (j-2 \ell-q-1)!\, \Gamma (j-2 \ell-q+\delta )\, \Gamma (1+2 j-2 \ell-2 q+\gamma +\delta )}\\ &\ \times\ _{4} F_{3}\left.\left( \begin{array}{cc} -\frac{1}{2}-\ell,-\ell,-j+\ell+q-\frac{\gamma }{2}-\frac{\delta }{2},\frac{1}{2}-j+\ell+q-\frac{\gamma }{2}-\frac{\delta }{2} \\ -\frac{3}{2}-j,-\frac{j}{2}+\frac{q}{2}-\frac{\delta }{2},\frac{1}{2}-\frac{j}{2}+\frac{q}{2}-\frac{\delta }{2} \end{array} \right|-1\right). \end{split} \end{align*}$

Remark 4.1. There are six special formulas that can be deduced from formula (4.10) by taking into consideration the six special classes of the shifted JPs.

4.2. Derivatives in terms of some other polynomials

Now, we present some derivative formulas of the convolved Pell polynomials as combinations of generalized Fibonacci, generalized Lucas, and Bernoulli polynomials. Similar steps to those followed in the previous subsection can be followed for the derivation of these formulas, so the proofs are omitted.

Theorem 4.5. $D^q P_{j, M}(x), \ j\ge q$ can be expanded in terms of the $F^{A, B}_{j}(x)$ which are constructed by (2.6) as follows:

$\begin{equation} \begin{split} D^q P_{j,M}(x) = &2^j (M)_j A^{-j+q} \sum\limits_{r = 0}^{\left\lfloor \frac{j-q}{2}\right\rfloor } \frac{(-1)^{1+r} (-1-j+2 r+q) B^r }{r! (1+j-r-q)!}\\ &\times \_{2} F_{1}\left.\left( \begin{array}{cc} -r,-1-j+r+q\\ 1-j-M \end{array} \right|\frac{A^2}{4 B}\right)\,F^{A,B}_{j-q-2r}(x). \end{split} \end{equation}$

(4.11)

Remark 4.2. The term $_{2} F_{1}\left(\frac{A^2}{4\, B}\right)$ that appears in (4.11) may be reduced for the choice $A^2 = 4\, B$ ; thus, a simplified formula can be obtained. The following corollary displays such a result.

Corollary 4.4. If $A^2 = 4\, B$ , then (4.11) reduces to:

$D^q P_{j,M}(x) = (M)_{j}\, \sum\limits_{r = 0}^{\left\lfloor \frac{j-q}{2}\right\rfloor } \frac{(-1)^{1+r}\, 2^{j-2 r}\, A^{-j+q+2 r}\, (-1-j+q+2 r)\, (-1+M+q)_r}{r!\, (j-q-r+1)!\, (j+M-r)_r}\, F_{j-q-2r}^{A,\frac{A^2}{4}}(x),$

and in particular

$\begin{equation} D^q P_{j,M}(x) = 2^{q}\, (M)_{j}\, \sum\limits_{r = 0}^{\left\lfloor \frac{j-q}{2}\right\rfloor }\frac{(-1)^{1+r}\, (-1-j+q+2 r)\, (-1+M+q)_r}{r!\, (j-q-r+1)!\, (j+M-r)_r}\, P_{j-q-2r+1}(x). \end{equation}$

(4.12)

Theorem 4.6. $D^q P_{j, M}(x), \ j\ge q$ can be expanded in terms of the generalized Lucas polynomials $L^{R, S}_{j}(x)$ which are constructed by (2.7) as follows:

$\begin{equation} D^q P_{j,M}(x) = 2^j (M)_j R^{-j+q} \sum\limits_{r = 0}^{\left\lfloor \frac{j-q}{2}\right\rfloor } \frac{\xi_{j-2r-2q}(-1)^r S^r}{r! (j-r-q)!} \;_{2} F_{1}\left.\left( \begin{array}{cc} -r,-j+r+q\\ 1-j-M \end{array} \right|\frac{R^2}{4 S}\right)\,L^{R,S}_{j-q-2r}(x), \end{equation}$

(4.13)

where $\xi_{m}$ is as defined in (2.8).

Remark 4.3. The term $_{2} F_{1}\left(\frac{R^2}{4\, S}\right)$ that appears in (4.13) can be summed for the special choice of $R^2 = 4\, S$ ; hence, a simplified formula can be obtained. The following corollary displays this result.

Corollary 4.5. If $R^2 = 4\, S$ , then formula (4.13) reduces to:

$\begin{equation} D^q P_{j,M}(x) = (M)_j \sum\limits_{r = 0}^{\left\lfloor \frac{j-q}{2}\right\rfloor } \frac{(-1)^r 2^{j-2 r} \xi_{j-q-2 r}\, R^{-j+q+2 r} (M+q)_r}{r! (j-q-r)! (j+M-r)_r}\, L^{R,\frac{R^2}{4}}_{j-q-2r}(x), \end{equation}$

(4.14)

and in particular

$\begin{equation} D^q P_{j,M}(x) = 2^{q}\, (M)_{j}\, \sum\limits_{r = 0}^{\left\lfloor \frac{j-q}{2}\right\rfloor } \frac{(-1)^r\, \xi_{j-q-2 r}\, (M+q)_r}{(j-q-r)!\, r!\, (j+M-r)_r}\, Q_{j-q-2r}(x). \end{equation}$

(4.15)

Theorem 4.7. $D^q P_{j, M}(x), \ j\ge q$ can be expanded in terms of the Bernoulli polynomials $B_{j}(x)$ as follows:

$\begin{equation} \begin{split} &D^q P_{j,M}(x) = \frac{2^j \Gamma (j+M)}{\Gamma (M)} \sum\limits_{r = 0}^{\left\lfloor \frac{j-q}{2}\right\rfloor } \frac{1}{(2 r+1)! (j-2 r-q)!}\, \, \_{2} F_{1}\left.\left( \begin{array}{cc} -r,-\frac{1}{2}-r\\ 1-j-M \end{array} \right|-1\right) B_{j-q-2 r}(x)\\ &+\frac{1}{\Gamma (M)} \sum\limits_{r = 0}^{\left\lfloor \frac{1}{2} (j-q-1)\right\rfloor } \frac{-2^{-2+j-2 r} \Gamma (-1+j+M-r) (2 r+2)!+2^j \Gamma (j+M) (r+1)! \, \_{2} F_{1}\left.\left( \begin{array}{cc} -r,-\frac{1}{2}-r\\ 1-j-M \end{array} \right|-1\right)}{(r+1)! (2 r+2)! (j-2 r-q-1)!}\times\\ &\qquad \qquad B_{j-q-2 r-1}(x). \end{split} \end{equation}$

(4.16)

5. Moments formulas

This section focuses on establishing the moments formulas for the convolved Pell polynomials. We will show that the moments coefficients involve a certain terminating hypergeometric function of the type $\, _{4} F_{3}(1)$ . Also, it will be shown that this hypergeometric function can be reduced in some specific cases.

Theorem 5.1. Consider two non-negative integers $j, \; m$ . We have

$\begin{equation} \begin{split} x^m\, P_{j,M}(x) = &\frac{(j+m)!\, \Gamma (j+M)}{2^m\, j!} \sum\limits_{r = 0}^{\left\lfloor \frac{j+m}{2}\right\rfloor } \frac{(-1)^r\, (j+m+M-2 r)}{r!\, \Gamma (1+j+m+M-r)}\\ &\ \times\ _{4} F_{3}\left.\left( \begin{array}{cc} -r,\frac{1}{2}-\frac{j}{2},-\frac{j}{2},-j-m-M+r \\ -\frac{j}{2}-\frac{m}{2},\frac{1}{2}-\frac{j }{2}-\frac{m}{2},1-j-M \end{array} \right|1\right)\, P_{j+m-2r,M}(x). \end{split} \end{equation}$

(5.1)

Proof. The analytic form of $P_{j, M}(x)$ along with the inversion formula (2.3), after some algebraic computations, leads to relation (5.1). □

Remark 5.1. Although the hypergeometric function that appears in (5.1) is balanced and terminating, its sum is not reducible in general. We will give some special cases in which this hypergeometric function can be summed, and accordingly, certain simple moments formulas can be deduced. We will consider the two cases corresponding to $M = 1$ and $M = 2$ , respectively.

Lemma 5.1. When $m$ and $j$ are positive integers, we get the moments formula for the Pell polynomials $P_j(x)$ :

$x^m\, P_{j}(x) = \frac{1}{2^m} \sum\limits_{r = 0}^m (-1)^r \binom{m}{r}\, P_{j+m-2 r}(x).$

Proof. For $M = 1$ , (5.1) turns into the following equation:

$\begin{equation} \begin{split} x^m\, P_{j}(x) = & \frac{(j+m)!}{2^m}\, \sum\limits_{r = 0}^{\left\lfloor \frac{j+m}{2}\right\rfloor }\frac{(-1)^r (1+j+m-2 r)}{r!\, (j+m-r+1)!}\\ &\ \times\ _{4} F_{3}\left.\left( \begin{array}{cc} -r,\frac{1}{2}-\frac{j}{2},-\frac{j}{2},-1-j-m+r \\ -j,-\frac{j}{2}-\frac{m}{2},\frac{1}{2}-\frac{j}{2}-\frac{m}{2} \end{array} \right|1\right)\, P_{j+m-2r}(x). \end{split} \end{equation}$

(5.2)

Regarding the $_{4} F_{3}(1)$ term that appears in (5.2), it can be summed by using symbolic algebra. For this purpose, set

$\begin{equation} R_{r,j,m} = \_{4} F_{3}\left.\left( \begin{array}{cc} -r,\frac{1}{2}-\frac{j}{2},-\frac{j}{2},-1-j-m+r \\ -j,-\frac{j}{2}-\frac{m}{2},\frac{1}{2}-\frac{j}{2}-\frac{m}{2} \end{array} \right|1\right). \end{equation}$

(5.3)

As a result of Zeilberger's algorithm ^[47], $R_{r, j, m}$ satisfying the following recurrence relation is obtained:

$\begin{split} &(r-1) (-2-m+r) (j+m-2 r+5) R_{r-2,j,m}-\left(j m-2 j r-2 m r+2 r^2+2 j+2 m-6 r+4\right)\\ &\times(3+j+m-2 r) R_{r-1,j,m} +(2+j+m-r) (j-r+1) (-2 r+1+j+m)\, R_{r,j,m} = 0, \end{split}$

with the initial values $R_{0, j, m} = 1\ {\rm{and}} \ R_{1, j, m} = \frac{m}{-1+j+m}.$

It can be exactly solved to give

$R_{r,j,m} = \frac{(m-r+1)_r}{(j+m-2 r+1) (j+m-r+2)_{r-1}},$

and this leads to the following formula:

$x^m\, P_{j}(x) = \frac{1}{2^m} \sum\limits_{r = 0}^m (-1)^r \binom{m}{r}\, P_{j+m-2 r}(x).$

This ends the proof of the lemma. □

Remark 5.2. Zeilberger's algorithm is a very useful tool for finding a closed form for various sums, especially hypergeometric functions with a negative numerator parameter, such as (5.3). The philosophy of employing such an algorithm depends on the following two fundamental steps:

$1)$ Obtaining the recurrence relation that corresponds to the sum that we wish to find its closed form.

$2)$ Using suitable computer algebra algorithms such as the Petkovsek and van Hoeij algorithms (see, ^[47,48]) to solve the resulting recurrence relation.

Remark 5.3. There are many contributions that are closely related to Zeilberger's algorithm; see for example ^[49,50,51].

Lemma 5.2. When $m$ and $j$ are positive integers, we get the moments formula for the Pell polynomials $P_{j, 2}(x)$ :

$x^m\, P_{j,2}(x) = \frac{1}{2^m} \sum\limits_{r = 0}^m \frac{(-1)^r\, m!\, ((1+j) (3+j+m)-2 (2+j) r)}{r!\, (m-r)!\, (1+j+m-2 r)\, (3+j+m-2 r)}\, P_{j+m-2 r,2}(x).$

Proof. For $M = 2$ , (5.1) gives

$\begin{split} x^m\, P_{j,2}(x) = &\frac{(j+m)! (j+1)}{2^m}\, \sum\limits_{r = 0}^{\left\lfloor \frac{j+m}{2}\right\rfloor }\frac{(-1)^r\, (2+j+m-2 r)}{r!\, (j+m-r+2)!}\times\\ &\_{4} F_{3}\left.\left( \begin{array}{cc} -r,\frac{1}{2}-\frac{j}{2},-\frac{j}{2},-2-j-m+r \\ -1-j,-\frac{j}{2}-\frac{m}{2},\frac{1}{2}-\ \frac{j}{2}-\frac{m}{2} \end{array} \right|1\right)\, P_{j+m-2r,2}(x). \end{split}$

Again, Zeilbereger's algorithm allows one to reduce the sum in the last hypergeometric functions as follows:

$_{4} F_{3}\left.\left( \begin{array}{cc} -r,\frac{1}{2}-\frac{j}{2},-\frac{j}{2},-2-j-m+r \\ -1-j,-\frac{j}{2}-\frac{m}{2},\frac{1}{2}-\ \frac{j}{2}-\frac{m}{2} \end{array} \right|1\right) = \frac{(m-r+1)_r\, \left((1+j) (3+j+m)-2 (2+j) r\right) }{(1+j) (j+m-2 r+1)_3 (j+m-r+3)_{r-2}},$

and as a result, we get the moments formula below:

$x^m\, P_{j,2}(x) = \frac{1}{2^m} \sum\limits_{r = 0}^m \frac{(-1)^r\, m!\, ((1+j) (3+j+m)-2 (2+j) r)}{r!\, (m-r)!\, (1+j+m-2 r)\, (3+j+m-2 r)}\, P_{j+m-2 r,2}(x).$

□

6. Some applications of the introduced formulas

The following formulas will be derived from some of the previous formulas. Particularly, we present the applications as follows:

● In the first application, we give some formulas linking some celebrated numbers.

● In the second application, we evaluate some weighted definite integrals.

● In the third application, we introduce some trigonometric identities.

● In the fourth application, we give a new closed form for the definite integral of $P_{j, M}(x)$ .

6.1. New connections between some celebrated numbers

In this section, we give some expressions of the convolved Pell numbers in terms of some famous numbers. These expressions are given as special cases of Theorems 4.5 and 4.6.

Corollary 6.1. The convolved Pell numbers can be written in terms of the Fibonacci and Pell numbers as in the following expressions

$\begin{align} P_{i,M} = &2^j (M)_j \sum\limits_{p = 0}^{\left\lfloor \frac{j}{2}\right\rfloor } \frac{(-1)^{1+p} (-1-j+2 p) \, }{p! (j-p+1)!}\, \_{2} F_{1}\left.\left( \begin{array}{cc} -p,-1-j+p\\ 1-j-M \end{array} \right|\frac{1}{4}\right)\, F_{j-2p+1}, \end{align}$

(6.1)

$\begin{align} P_{i,M} = &(M)_j \sum\limits_{\ell = 0}^{\left\lfloor \frac{j}{2}\right\rfloor } \frac{(-1)^{1+\ell} (-1-j+2 \ell) (-1+M)_\ell}{\ell! (j-\ell+1)! (j+M-\ell)_\ell}\, P_{j-2\ell+1}. \end{align}$

(6.2)

Proof. Formula (6.1) is a consequence of (4.11), corresponding to the following choices: $q = 0, x = 1, A = 1$ and $B = 1$ , while Formula (6.2) can be deduced from (4.12) by setting $x = 1$ and $q = 0$ . □

Corollary 6.2. The convolved Pell numbers can be written in terms of the Lucas and Pell-Lucas numbers, respectively, as in the following expressions:

$\begin{align} P_{j,M} = &2^j (M)_j\, \sum\limits_{\ell = 0}^{\left\lfloor \frac{j}{2}\right\rfloor } \frac{(-1)^\ell\, \xi_{j-2 \ell}}{\ell!\, (j-\ell)!}\, \_{2} F_{1}\left.\left( \begin{array}{cc} -\ell,-j+\ell\\ 1-j-M \end{array} \right|\frac{1}{4}\right)\, L_{j-2\ell}, \end{align}$

(6.3)

$\begin{align} P_{j,M} = &(M)_j\, \sum\limits_{\ell = 0}^{\left\lfloor \frac{j}{2}\right\rfloor } \frac{(-1)^\ell\, \xi_{j-2\ell}\, (M)_\ell}{(j-\ell)!\ \ell!\, (j+M-\ell)_\ell}\, Q_{j-2\ell}. \end{align}$

(6.4)

Proof. Formula (6.3) is a consequence of (4.13), corresponding to the following choices: $q = 0, x = 1, R = 1$ and $S = 1$ , while (6.4) can be deduced from (4.15) by setting $x = 1$ and $q = 0$ . □

6.2. Some weighted integrals involving the convolved Pell polynomials

Here we compute some weighted definite integrals based on the connection formulas given in Section 4.1 (Theorems 4.1 and 4.2).

Corollary 6.3. For $\lambda > -\frac12$ , $j\ge m$ and $(j+m)$ even, the follwoing integral formula holds

$\begin{equation} \begin{split} \int_{-1}^{1}(1-x^2)^{\lambda-\frac12}\, P_{j,M}(x)\, C^{(\lambda)}_{m}(x)\, dx = &\frac{\sqrt{\pi }\, \Gamma (j+M)\, \Gamma \left(\frac{1}{2}+\lambda \right)}{\left(\frac{j-m}{2}\right)!\, \Gamma (M)\, \Gamma \left(\frac{1}{2} (2+j+m)+\lambda \right)}\times\\ &\, \_{2} F_{1}\left.\left( \begin{array}{cc} \frac{1}{2} (-j+m),\frac{1}{2} (-j-m-2 \lambda )\\ 1-j-M \end{array} \right|-1\right). \end{split} \end{equation}$

(6.5)

Proof. Substituting by $q = 0$ in (4.1) produces the following formula

$\begin{equation} \begin{split} P_{j,M}(x) = &\frac{2 \Gamma (j+M) \Gamma (1+\lambda )}{\Gamma (M) \Gamma (1+2 \lambda )} \sum\limits_{\ell = 0}^{\left\lfloor \frac{j}{2}\right\rfloor } \frac{(j-2 \ell+\lambda ) \Gamma (j-2 \ell+2 \lambda )}{\ell! (j-2 \ell)! \Gamma (1+j-\ell+\lambda )}\\ &\times \_{2} F_{1}\left.\left( \begin{array}{cc} -\ell,-j+\ell-\lambda\\ 1-j-M \end{array} \right|-1\right)\, C^{(\lambda)}_{j-2\ell}(x). \end{split} \end{equation}$

(6.6)

If both sides of (6.6) are multiplied by $(1-x^2)^{\lambda-\frac12}\, C^{(\lambda)}_{m}(x)$ , integrate over (-1, 1), and apply the orthogonality relation of the ultraspherical polynomials; then, (6.5) can be obtained. □

Another integral formula that involves convolved Pell and Hermite polynomials is given in the following corollary.

Corollary 6.4. For $j\ge m$ and $(j+m)$ even, the following integral formula holds

$\begin{equation} \int_{-\infty}^{\infty}\ e^{-x^2}\, P_{j,M}(x)\, H_{m}(x)\, dx = \frac{2^{1+m} \Gamma \left(\frac{3}{2}+j\right) \,_1F_1\left(\frac{1}{2} (-j+m);-\frac{1}{2}-j;1\right)}{\left(\frac{j-m}{2}\right)!}. \end{equation}$

(6.7)

Remark 6.1. Other integral formulas can be deduced by using the connection formulas between the convolved Pell polynomials and different orthogonal polynomials.

6.3. Some trigonometric identities

Based on the connection formulas between the convolved Pell polynomials and the four kinds of CPs, some trigonometric expressions for the convolved Pell polynomials can be deduced. The following two corollaries display these expressions.

Corollary 6.5. The following trigonometric representations for the convolved Pell polynomials hold

$\begin{align*} \begin{split} P_{j,M}(\cos \vartheta) = &\frac{2\, \Gamma (j+M)}{\Gamma (M)}\, \sum\limits_{\ell = 0}^{\left\lfloor \frac{j}{2}\right\rfloor }\frac{1}{\ell! (j-\ell)!}\_{2} F_{1}\left.\left( \begin{array}{cc} -\ell,-j+\ell\\ 1-j-M \end{array} \right|-1\right)\, \cos ((j-2 \ell) \vartheta ), \end{split}\\ \begin{split} \sin \vartheta\, P_{j,M}(\cos \vartheta) = &\frac{\Gamma (j+M)}{\Gamma (M)}\, \sum\limits_{\ell = 0}^{\left\lfloor \frac{j}{2}\right\rfloor } \frac{1+j-2 \ell}{\ell! (j-\ell+1)!} \_{2} F_{1}\left.\left( \begin{array}{cc} -\ell,-j+\ell-1\\ 1-j-M \end{array} \right|-1\right)\, \sin ((j-2 \ell+1) \vartheta ). \end{split} \end{align*}$

Proof. The results follow from (4.4) and (4.5) by setting $q = 0$ and applying the following two well-known trigonometric definitions:

$T_{j}(\cos \vartheta) = \cos(j\, \vartheta),\qquad U_{j}(\cos \vartheta) = \frac{\sin\left((j+1)\, \vartheta\right)}{\sin \vartheta}.$

□

Corollary 6.6. The following trigonometric representations for the convolved Pell polynomials hold

$\begin{align} \begin{split} \cos\left(\frac{\vartheta}{2}\right)\, P_{j,M}(\cos \vartheta) = &(M)_{j}\, \left(\sum\limits_{\ell = 0}^{\left\lfloor \frac{j}{2}\right\rfloor } \frac{1}{\ell! (j-\ell)!}\, \_{2} F_{1}\left.\left( \begin{array}{cc} -\ell,-j+\ell\\ 1-j-M \end{array} \right|-1\right)\, \cos\left(\left(j-2\, \ell+\frac12\right)\vartheta\right)\right.\\ &+\left.\sum\limits_{\ell = 0}^{\left\lfloor \frac{1}{2} (j-1)\right\rfloor } \frac{1}{\ell! (j-\ell)!}\, \_{2} F_{1}\left.\left( \begin{array}{cc} -\ell,-j+\ell \\ 1-j-M \end{array} \right|-1\right)\, \cos\left(\left(j-2\, \ell-\frac12\right)\vartheta\right)\right), \end{split} \end{align}$

(6.8)

$\begin{align} \begin{split} \sin\left(\frac{\vartheta}{2}\right)\, P_{j,M}(\cos \vartheta) = &(M)_{j}\, \left(\sum\limits_{\ell = 0}^{\left\lfloor \frac{j}{2}\right\rfloor } \frac{1}{\ell! (j-\ell)!}\, \_{2} F_{1}\left.\left( \begin{array}{cc} -\ell,-j+\ell \\ 1-j-M \end{array} \right|-1\right)\, \sin\left(\left(j-2\, \ell+\frac12\right)\vartheta\right)\right.\\ &-\left.\sum\limits_{\ell = 0}^{\left\lfloor \frac{1}{2} (j-1)\right\rfloor } \frac{1}{\ell! (j-\ell)!}\, \_{2} F_{1}\left.\left( \begin{array}{cc} -\ell,-j+\ell\\ 1-j-M \end{array} \right|-1\right)\, \sin\left(\left(j-2\, \ell-\frac12\right)\vartheta\right)\right). \end{split} \end{align}$

(6.9)

Proof. The results can be derived from (4.8) and (4.9) by setting $q = 0$ , and applying the following two well-known trigonometric definitions:

$V_{j}(\cos \vartheta) = \frac{\cos\left(\left(j+\frac12\right)\vartheta\right)}{\cos\left(\tfrac{\vartheta}{2}\right)}, \qquad W_{j}(\cos \vartheta) = \frac{\sin\left(\left(j+\frac12\right)\vartheta\right)}{\sin\left(\tfrac{\vartheta}{2}\right)}.$

□

6.4. A specific definite integral formula for the convolved Pell polynomials

In this part, and based on the connection formula between $P_{j, M}(x)$ and the Bernoulli polynomials, the definite integral $\int_{0}^{1} P_{j, M}(x)\, dx$ can be computed in a closed form.

Corollary 6.7. Consider a non-negative integer $j$ . The following integral formula holds

$\begin{equation} \int_{0}^{1}P_{j,M}(x)\, dx = \begin{cases} \frac{2^j\, \Gamma (j+M) }{(j+1)!\, \Gamma (M)} \_{2} F_{1}\left.\left( \begin{array}{cc} -\frac{1}{2}-\frac{j}{2},-\frac{j}{2}\\ 1-j-M \end{array} \right|-1\right),& j \ \ \mathit{\text{even}},\\ \frac{- \frac{\Gamma \left(\frac{1}{2} (-1+j)+M\right)}{\left(\frac{j+1}{2}\right)!}+\frac{2^{1+j}\, \Gamma (j+M)}{(j+1)!}\, \_{2} F_{1}\left.\left( \begin{array}{cc} -\frac{1}{2}-\frac{j}{2},-\frac{j}{2}\\ 1-j-M \end{array} \right|-1\right)}{2\, \Gamma (M)},& j\ \ \mathit{\text{odd}}. \end{cases} \end{equation}$

(6.10)

Proof. This formula will be proved by using the connection formula for $P_{j, M}(x)$ with the Bernoulli polynomials. Setting $q = 0$ in (4.16) leads to the following connection formula:

$\begin{equation} \begin{split} &P_{j,M}(x) = \frac{2^j\, \Gamma (j+M)}{\Gamma (M)} \sum\limits_{r = 0}^{\left\lfloor \frac{j}{2}\right\rfloor } \frac{1}{(2 r+1)! (j-2 r)!}\, \_{2} F_{1}\left.\left( \begin{array}{cc} -r,-\frac{1}{2}-r\\ 1-j-M \end{array} \right|-1\right)\, B_{j-2 r}(x)\\ &+\frac{1}{\Gamma (M)} \sum _{r = 0}^{\left\lfloor \frac{j-1}{2}\right\rfloor } \frac{-2^{-2+j-2 r}\, \Gamma (-1+j+M-r)\, (2 r+2)!+2^j\, \Gamma (j+M)\, (r+1)!\, \_{2} F_{1}\left.\left( \begin{array}{cc} -1-r,-\frac{1}{2}-r\\ 1-j-M \end{array} \right|-1\right)}{(r+1)! (2 r+2)! (j-2 r-1)!}\times\\ &\qquad \qquad B_{j-2 r-1}(x). \end{split} \end{equation}$

(6.11)

Integrating both sides of (6.11) from 0 to 1, and using the well-known identity (see ^[52])

$\int_{0}^{1} B_{\ell}(x)\, dx = \delta_{0,\ell},$

where $\delta_{\ell, m}$ is the Kronecker delta function, we get the desired result given by (6.10). □

7. A matrix approach for convolved Pell polynomials

In general, the convolved Pell polynomials of degree $i$ can be written as

$\begin{equation} P_{i,M} \left(x\right) = \sum\limits_{k = 0}^i t_{i,k,M}\, x^k, \hskip 1cm t_{i,k}\in {\rm I{\hskip-1.7pt R}},\ \ \ i = 0,1,\ldots, \end{equation}$

(7.1)

with

$t_{i,k,M} = \begin{cases}\frac{2^k (M)_{\lfloor {\frac {i+k}2} \rfloor}}{\left(\frac {i-k}2\right)!k!},&(i-k) \text{ even},\\ 0, & (i-k) \text{ odd}.\end{cases}$

Clearly, from (2.2), $t_{i, k, M}$ satisfies the recurrence relation described below:

$\begin{equation} t_{i,k,M} = \frac{2(i+M-1)}{i}\, t_{i-1,k-1,M}+\frac{i+2M-2}{i}\, t_{i-2,k,M},\qquad i\ge k\ge 2, \end{equation}$

(7.2)

with

$t_{0,0,M} = 1,\quad t_{i,0,M} = \begin{cases}\frac{(M)_\frac i2}{\left(\frac i2\right)!},&i \text{ even},\\ 0, & i \text{ odd},\end{cases} \quad i\ge 1, \quad t_{1,1,M} = 2M.$

For $P_{i, M}$ we have that $P_{i, M} (-x) = (-1)^{i} P_{i, M}(x)$ , that is convolved Pell polynomials are even functions if $i$ is even, and they are odd functions if $i$ is odd. Moreover, since the coefficients are all positive, then $\forall k\in {\rm I{\hskip-1.7pt N}}$ , $P_{2k, M}(x)\ge 0$ $\forall x\in {\rm I{\hskip-1.7pt R}}$ , while $P_{2k+1, M}(x)\ge 0$ for $x\ge 0$ and $P_{2k+1, M}(x) < 0$ for $x < 0$ .

If $T_{i, i, M} = \bigl[t_{i, 0, M}, t_{i, 1, M}, \ldots, t_{i, i, M}\bigr]$ and $X_i = \bigl[1, x, x^2, \ldots, x^i\bigr]^T$ , then $P_{i, M} \left(x\right)$ can be written in the matrix form: $P_{i, M} \left(x\right) = T_{i, i, M} X_i$ .

7.1. The convolved Pell sequence

We consider the polynomial sequence $\bigl\{P_{i, M} \bigr\}_{i\in {\rm I{\hskip-1.7pt N}}}$ whose elements are the convolved Pell polynomials. If $T_M = \bigl(t_{i, j, M} \bigr)_{i, j\ge 0}$ , $X = [1, x, x^2, \dots]$ and $P_M^x = \bigl[P_{0, M}\left(x\right), P_{1, M}\left(x\right), \ldots, P_{i, M}\left(x\right), \ldots\bigr]^T,$ the elements of the polynomial sequence $\bigl\{P_{i, M} \bigr\}_{i\in {\rm I{\hskip-1.7pt N}}}$ can be written as

$P_M^x = T_M X.$

$T_M$ is a lower, triangular, infinite matrix. It can be factorized ^[53] as

$T_M = D_1 B_M D_1^{-1},$

where $D_1 = {diag}\bigl\{i!\ \bigl| \ i = 0, 1, \ldots\bigr\}$ and $B_M$ is the lower triangular matrix with the entries

$b_{i,j,M} = \frac{j! t_{i,j,M}}{i!},\qquad j\le i.$

$B_M$ is a Toeplitz matrix, since it can be written as

$B_M = \left( \begin{array}{ccccccccccc} b_{0,M} &0 &0 &\cdots &\cdots &0 \\ b_{1,M} &b_{0,M} &0 &\cdots &\cdots &0 \\[0.5em] \frac{b_{,M}}{2!} &b_{1,M} &b_{0,M} &\ddots &\cdots &0 \\[0.8em] \frac{b_{3,M}}{3!} & \frac{b_{2,M}}{2!}&b_{1,M} &b_{0,M} &\ddots &0 \\ \vdots & & &\ddots &\ddots &\vdots \\ \vdots & & & &\ddots &\ddots \\ \end{array} \right),$

with $b_{i-j, M} = \frac{b_{i, j, M}}{(i-j)!}$ .

Observe that the diagonal elements of $T_M$ are given by: $t_{k, k, M} = \frac{2^{k}\left(M\right)_{k}}{k!}$ , $\forall k$ , hence, $T_M$ is an invertible matrix. Its inverse $S_M = \bigl(s_{i, j, M}\bigr)_{i, j\ge 0} = T_M^{-1}$ is a lower, triangular, infinite matrix, too. $S_M$ can be calculated as follows:

$S_M = D_1 B_M^{-1} D_1^{-1},$

where $B_M^{-1}$ can be easily computed (see for example ^[54,55,56]).

Alternatively, the entries of $S_M$ can be directly calculated in the following way (see ^[57]): let $T_{l, m, M}$ , with $l \ge m$ , be the following $\left(l-m+1\right)\times \left(l-m+1\right)$ block of $T_M$ :

$T_{l,m,M} = \left[ \begin{array}{ccccccc} t_{m,m,M} &0 &\ldots &\ldots &0 \\ t_{m+1,m,M}&t_{m+1,m+1,M}&0 &\ddots &0 \\ \vdots & &\ddots &\ddots &\vdots\\ \vdots & & &\ddots &0\\ t_{l,m,M} &t_{l,m+1,M} &\cdots &\cdots &t_{l,l,M} \end{array} \right].$

We consider the vectors $\left[s_{m, m, M}, s_{m+1, m, M}, \ldots, s_{l, m, M}\right]^T$ and $\left[e_{m, m}, e_{m+1, m}, \ldots, e_{l, m}\right]^T = \left[1, 0, \ldots, 0\right]^T$ , whose elements are $l-m+1$ entries of the $m$ -th columns of the matrices $S_M$ and of the infinite identity matrix $I$ , respectively.

From

$\sum\limits_{l = m}^i t_{i,l,M} s_{l,m,M} = e_{i,m},\qquad i\ge 0,\quad m = 0,\dots,i,$

we get

$\begin{equation} \begin{bmatrix} t_{m,m,M} &0 &\cdots &\cdots &0\\ t_{m+1,m,M} &t_{m+1,m+1,M} &0 &\ddots &0\\ \vdots & &\ddots &\ddots &\vdots\\ \vdots & & &\ddots &0\\ t_{l,m,M} &t_{l,m+1,M} &\cdots &\cdots &t_{l,l} \end{bmatrix} \begin{bmatrix} s_{m,m,M} \\ \vdots \\ \vdots \\ \vdots \\ s_{l,m,M} \\ \end{bmatrix} = \begin{bmatrix} e_{m,m} \\ \vdots \\ \vdots \\ \vdots \\ e_{l,m} \\ \end{bmatrix}. \end{equation}$

(7.3)

We solve system (7.3) in the unknowns m $s_{i, m, M}$ , $m \leq i \leq l$ , by using Cramer's rule. For the last element $s_{l, m, M}$ we get

$\begin{equation} s_{l,m,M} = \frac{(-1)^{l-m}}{\bigl| T_{l,m,M}\bigr|} \left| \begin{array}{ccccccc} e_{m,m} &t_{m,m,M} &0 &\cdots &0 \\ e_{m+1,m} &t_{m+1,m,M} &\ddots &\ddots &0 \\ \vdots & &\ddots &\ddots &0\\ \vdots & & &\ddots &t_{l-1,l-1,M}\\ e_{l,m} &t_{l,m,M} &\cdots &t_{l,l-2,M} &t_{l,l-1,M} \end{array} \right|. \end{equation}$

(7.4)

Hence, we obtain that $s_{l, l, M} = \frac1{t_{l, l, M}} = \frac{l!}{2^l \left(M\right)_l}$ and, for $l > m$ ,

$s_{l,m,M} = \frac{(-1)^{l-m}}{\prod_{i = m}^l t_{i,i,M}} \left| \begin{array}{ccccccc} t_{m+1,m,M} &t_{m+1,m+1,M} &0 &\ldots &\ldots &0 \\ t_{m+2,m,M} &t_{m+2,m+1,M} &t_{m+2,m+2,M} &\ddots & &\vdots\\ \vdots & & \ddots &\ddots &\ddots &\vdots\\ \vdots & & &\ddots &\ddots &0\\ \vdots & & & &\ddots &t_{l-1,l-1,M}\\ t_{k,m,M} &\cdots &\cdots &\cdots &t_{l,l-2,M} &t_{l,l-1,M} \end{array} \right|.$

Note that the above determinant is a Hessenberg determinant. It can be calculated recursively (see ^[58]) or by Gauss elimination. It is known (see, for example, ^[59]) that Gauss elimination without pivoting for the calculation of the determinant of an Hessenberg matrix is stable.

7.2. The conjugate sequence

Let $\bigl\{\widehat P_{i, M}\bigr\}_{i\in {\rm I{\hskip-1.7pt N}}}$ be the conjugate sequence of $\bigl\{ P_{i, M}\bigr\}_{i\in {\rm I{\hskip-1.7pt N}}}$ , that is the polynomial sequence related to the matrix $S_M$ with elements

$\widehat P_{i,M}(x) = \sum\limits_{k = 0}^i s_{i,k,M} x^k, \hskip 1cm s_{i,k,M}\in {\rm I{\hskip-1.7pt R}},\ \ \ i\ge 0.$

We know that ^[53] $P_{i, M}\circ \widehat P_{i, M} = id_i$ , where " $\circ$ " denotes the umbral composition and $\bigl\{id_i\bigr\}_{i\in {\rm I{\hskip-1.7pt N}}}$ , with $id_i\left(x\right) = x^i$ , i.e., the polynomial sequence related to the identity matrix $I$ .

Of course, the following relations hold:

$P_M^x = T_M X = T_M^2 \widehat{P}_M^x, \qquad \widehat{P}_M^x = S_M X = S_M^2 P_M^x,$

where $\widehat{P}_M^x = \bigl[\widehat{P}_{0, M}\left(x\right), \widehat{P}_{1, M}\left(x\right), \ldots, \widehat{P}_{i, M}\left(x\right), \ldots\bigr]^T$ .

for all $i\in {\rm I{\hskip-1.7pt N}}$ , let $T_{M, i}$ and $S_{M, i}$ be the principal submatrices of order $i$ of $T_M$ and $S_M$ , respectively. Moreover, let $P_{M, i}^x = \bigl[P_{0, M}\left(x\right), P_{1, M}\left(x\right), \ldots, P_{i, M}\left(x\right)\bigr]^T$ , and $\widehat{P}_{M, i}^x = \bigl[\widehat{P}_{0, M}\left(x\right), \widehat{P}_{1, M}\left(x\right), \ldots, \widehat{P}_{i, M}\left(x\right)\bigr]^T$ . Then,

$\begin{equation} {P}_{M,i}^x = T_{M,i} X_i = T_{M,i}^2 \, \widehat{P}_{M,i}^x \quad \text{and} \quad \widehat{P}_{M,i}^x = S_{M,i} X_i = S_{M,i}^2 \, P_{M,i}^x. \end{equation}$

(7.5)

Remark 7.1. From (7.5), $\forall\ i\in {\rm I{\hskip-1.7pt N}}$ , we get

$\begin{equation} x^i = \sum\limits_{k = 0}^i s_{i,k,M} \, P_{k,M}(x). \end{equation}$

(7.6)

Comparing (2.3) and (7.6), we can obtain the following expression of the elements of the matrix $S_M$ :

$s_{i,k,M} = \begin{cases} \frac{i!\, (-1)^{\alpha_{ik}}}{2^i\, \alpha_{ik}!\, (M)_{i-2 \alpha_{ik}}\, (M+i-2\alpha_{ik}+1)_{\alpha_{ik}}},&(i-k) \text{ even},\\ 0, & (i-k) \text{ odd}, \end{cases}$

with $\alpha_{ik} = \lfloor\tfrac{i-k}{2}\rfloor$ .

7.3. Basis

Observe that each of the two sets $\bigl\{P_{0, M}\left(x\right), \dots, P_{i, M}\left(x\right)\bigr\}$ and $\bigl\{\widehat P_{0, M}\left(x\right), \dots, \widehat P_{i, M}\left(x\right)\bigr\}$ form a basis for ${\cal{P}}_i$ , which is the set of polynomials of degree $\le i$ .

Hence, if $q_i(x) = \sum\limits_{k = 0}^i q_{i, k} x^k\in {\cal{P}}_i$ , then,

$q_i(x) = \sum\limits_{k = 0}^i c_{i,k} P_{k,M}(x) = \sum\limits_{k = 0}^i d_{i,k} \widehat P_{k,M}(x),$

with $c_{i, k} = \sum\limits_{j = 0}^{\lfloor\frac{i-k}{2}\rfloor}q_{i, i-k-2j}s_{k+2j, k, M}\ d_{i, k} = \sum\limits_{j = 0}^{\lfloor\frac{i-k}{2}\rfloor}q_{i, i-k-2j}t_{k+2j, k, M}, k = 0, 1, \ldots, i$ .

It is known (see ^[60,61] and the references therein) that the condition of polynomials, that is their sensitivity with respect to small perturbations in the coefficients, depends on the basis. Generally, condition numbers are used for the study of the condition of polynomials (see, ^[62,63]).

Particularly, for a polynomial in the convolved Pell basis $q_i(x) = \sum_{k = 0}^i c_{i, k} P_{k, M}(x)$ the condition number of the root $\alpha$ is

$C_\alpha = \frac{\sum\limits_{k = 0}^i | c_{i,k} P_{k,M} \left( \alpha\right)| }{|q_i'\left( \alpha\right)|}.$

As an example we consider the Wilkinson polynomial ^[64] of degree $10$ :

$p(x) = \prod\limits_{k = 1}^{10} \left( x-k\right);$

we calculate the condition number of each root. The outcomes obtained by employing each basis are compared in Table 1.

Table 1. Comparison between condition numbers for different bases.

Root	Power	Bessel	Fibonacci	Conv. Pell
	basis	basis	basis	basis ( $\forall M$ )
1	$1.1 \cdot10^{2}$	$5.1 \cdot10^{2}$	$1.4 \cdot10^{2}$	$1.1 \cdot10^{2}$
2	$5.9 \cdot10^{3}$	$1.5 \cdot10^{4}$	$6.3 \cdot10^{3}$	$5.9 \cdot10^{3}$
3	$1.0 \cdot10^{5}$	$1.9 \cdot10^{5}$	$1.0 \cdot10^{5}$	$1.0 \cdot10^{5}$
4	$8.4 \cdot10^{5}$	$1.4 \cdot10^{6}$	$8.5 \cdot10^{5}$	$8.4 \cdot10^{5}$
5	$3.8 \cdot10^{6}$	$5.6 \cdot10^{6}$	$3.8 \cdot10^{6}$	$3.8 \cdot10^{6}$
6	$1.0 \cdot10^{7}$	$1.4 \cdot10^{7}$	$1.0 \cdot10^{7}$	$1.0 \cdot10^{7}$
7	$1.6 \cdot10^{7}$	$2.2 \cdot10^{7}$	$1.6 \cdot10^{7}$	$1.6 \cdot10^{7}$
8	$1.5 \cdot10^{7}$	$2.0 \cdot10^{7}$	$1.6 \cdot10^{7}$	$1.5 \cdot10^{7}$
9	$8.3 \cdot10^{6}$	$1.0 \cdot10^{7}$	$8.3 \cdot10^{6}$	$8.3 \cdot10^{6}$
10	$1.8 \cdot10^{6}$	$2.3 \cdot10^{6}$	$1.8 \cdot10^{6}$	$1.8 \cdot10^{6}$

| Show Table

DownLoad: CSV

7.4. Recurrence relations and determinant forms

From (7.6), $P_{i, M}\left(x\right)$ can be written as:

$P_{i,M}\left(x\right) = x^i-\sum\limits_{k = 1}^{i-1} s_{i,k,M} P_{k,M}\left(x\right).$

Furthermore, (7.6), for $i\ge 0$ , can be thought of as an infinite linear system in the unknowns $P_{j, M}(x)$ , $j\ge 0$ . Solving the first $(i+1)$ equations in the unknowns $P_{0, M}(x), \dots, P_{i, M}(x)$ by using Cramer's rule yields the following determinant form

$P_{i,M}\left(x\right) = \left(-1\right)^i\prod\limits_{k = 0}^i\frac{2^k (M)_k}{k!}\left| \begin{array}{ccccccccccccc} 1 &x &x^2 &x^3 &\cdots &x^{i-1} &x^i \\ s_{0,0,M}&s_{1,0,M} &s_{2,0,M} &\cdots &\cdots &s_{i-1,0,M} &s_{i,0,M} \\[0.3em] 0 &s_{1,1,M} &s_{2,1,M} &\cdots &\cdots &s_{i-1,1,M} &s_{i,1,M} \\ \vdots & \ddots &\ddots & & &\vdots &\vdots \\ \vdots & &\ddots &\ddots & & \vdots &\vdots \\ \vdots & & &\ddots &\ddots &\vdots &\vdots \\ 0 &\cdots &\cdots &\cdots &0 &s_{i-1,i-1,M}&s_{i,i-1,M} \\ \end{array} \right|,\quad i\ge 1.$

Analogously, from (7.5), $\forall\ i\in {\rm I{\hskip-1.7pt N}}$ ; we get that $x^i = \sum\limits_{k = 0}^i t_{i, k, M} \, \widehat P_{k, M}(x).$ Therefore, the conjugate polynomials can be expressed as

$\widehat P_{i,M}\left(x\right) = x^i-\sum\limits_{k = 1}^{i-1} t_{i,k,M} \widehat P_{k,M}\left(x\right),$

and we get

$\widehat{P}_{i,M}\left(x\right) = \left(-1\right)^i\prod\limits_{k = 0}^i\frac{k!}{2^k (M)_k}\left| \begin{array}{ccccccccccccc} 1 &x &x^2 &x^3 &\cdots &x^{i-1} &x^i \\ t_{0,0,M}&0 &t_{2,0,M} &0 &\cdots &t_{i-1,0,M} &t_{i,0,M} \\[0.3em] 0 &t_{1,1,M} &0 &t_{3,1,M}&\cdots &t_{i-1,1,M} &t_{i,1,M} \\ \vdots & \ddots &\ddots &\ddots & &\vdots &\vdots \\ \vdots & &\ddots &\ddots &\ddots & \vdots &\vdots \\ \vdots & & &\ddots &\ddots &\ddots &\vdots \\ 0 &\cdots &\cdots &\cdots &0 &t_{i-1,i-1,M}&0 \\ \end{array} \right|,\quad i\ge 1.$

8. Conclusions

In this paper, we studied the convolved Pell polynomials, which generalize the well-known Pell polynomials. After providing an overview of the convolved Pell polynomials and recalling some important properties of Jacobi, generalized Fibonacci, and generalized Lucas polynomials, we derived many new formulas related to the convolved Pell polynomials. These include new expressions for their high-order derivatives in terms of their original polynomials and also in terms of various classical polynomials as well as connection formulas between two convolved Pell polynomials of different parameters, and between convolved Pell polynomials and some other polynomials. Moreover, we derived the moments formulas of the convolved Pell polynomials and provided some applications of the new formulas. In addition, we have presented a matrix approach for this kind of polynomials. We do believe that most of the formulas presented in this paper are new. In future work, we aim to employ these polynomials from a numerical point of view. In addition, we aim to investigate other convolved polynomials from both theoretical and practical points of view.

Use of AI tools declaration

The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.

Acknowledgement

This work was funded by the University of Jeddah, Jeddah, Saudi Arabia, under grant No. (UJ-22-DR-108). The authors, therefore, acknowledge with thanks the University of Jeddah for its technical and financial support.

Conflict of interest

The authors declare that they have no competing interests.

References

[1]	Torres P, Manjate RS, Fernandes HR, et al. (2009) Incorporation of river silt in ceramic tiles and bricks. Ind Ceram 29: 5–12. https://doi.org/10.1016/j.jeurceramsoc.2008.05.045 doi: 10.1016/j.jeurceramsoc.2008.05.045
[2]	Safhi AE (2020) Valorization of dredged sediments in self-compacting concrete, optimization of the formulation and study of durability (In French)[PhD's thesis]. University of Sherbrooke, Canada and University of Lille, France. Available from: https://tel.archives-ouvertes.fr/tel-03161520.
[3]	Samara M (2007) Recovery of polluted river sediments in fired bricks after making them inert (In French)[PhD's thesis]. Ecole Centrale de Lille, France. Available from: https://theses.hal.science/tel-00713676.
[4]	Hamer K, Karius V (2002) Brick production with dredged harbour sediments. An industrial-scale experiment. Waste Manage 22: 521–530. https://doi.org/10.1016/S0956-053X(01)00048-4 doi: 10.1016/S0956-053X(01)00048-4
[5]	Romero M, Andrés A, Alonso R, et al. (2009) Phase evolution and microstructural characterization of sintered ceramic bodies from contaminated marine sediments. J Eur Ceram Soc 29: 15–22. https://doi.org/10.1016/j.jeurceramsoc.2008.04.038 doi: 10.1016/j.jeurceramsoc.2008.04.038
[6]	MEDD, Management of sediments extracted from rivers and canals. Water department and pollution and risk prevention department. Ministry of ecology and sustainable development, France, 2020. Available from: https://www.ecologie.gouv.fr/.
[7]	UNICEM, The French aggregate industry in 2019. UNICEM, 2021. Available from: https://www.unicem.fr/wp-content/uploads/2021/12/unpg-chiffres-2019-web.pdf.
[8]	Sheehan C, Harrington J, Murphy JD (2009) Dredging and dredged material beneficial reuse in Ireland. Terra et Aqua 115: 3–14.
[9]	Brakni S, Abriak NE, Hequette A (2009) Formulation of artificial aggregates from dredged harbour sediments for coastline stabilization. Environ Technol 30: 849–854. https://doi.org/10.1080/09593330902990154 doi: 10.1080/09593330902990154
[10]	Mesrar L, Benamar A, Duchemin B, et al. (2021) Engineering properties of dredged sediments as a raw resource for fired bricks. Bull Eng Geol Environ 80: 2643–2658. https://doi.org/10.1007/s10064-020-02068-3 doi: 10.1007/s10064-020-02068-3
[11]	Bhatnagar JM, Goel RK, Gupta RG (1994) Brick-making characteristics of river sediments of the Southwest Bengal region of India. Constr Build Mater 8: 177–183. https://doi.org/10.1016/S0950-0618(09)90032-0 doi: 10.1016/S0950-0618(09)90032-0
[12]	Kazmi MS, Munir MJ, Patnaikuni I, et al. (2017) Thermal performance enhancement of eco-friendly bricks incorporating agro-wastes. Energy Build 158: 1117–1129. https://doi.org/10.1016/j.enbuild.2017.10.056 doi: 10.1016/j.enbuild.2017.10.056
[13]	Fgaier FE (2013) Design, production and qualification of terracotta and raw earth bricks (In French)[PhD's thesis]. Ecole Centrale de Lille, France. Available from: https://hal.science/tel-01242549/.
[14]	Kornmann M (2009) Terracotta materials: Basic materials and manufacturing (In French). Techniques de l'Ingénieur CB1: C905v2.1–C905v2.20.
[15]	Bodian S, Faye M, Sene NA, et al. (2018) Thermo-mechanical behavior of unfired bricks and fired bricks made from a mixture of clay soil and laterite. J Build Eng 18: 172–179. https://doi.org/10.1016/j.jobe.2018.03.014 doi: 10.1016/j.jobe.2018.03.014
[16]	Ducman V, Bizjak KF, Likar B, et al. (2022) Evaluation of sediments from the river Drava and their potential for further use in the building sector. Materials 15: 4303. https://doi.org/10.3390/ma15124303 doi: 10.3390/ma15124303
[17]	Bruno AW, Gallipoli D, Perlot C, et al. (2019) Optimization of bricks production by earth hypercompaction prior to firing. J Clean Prod 214: 475–482. https://doi.org/10.1016/j.jclepro.2018.12.302 doi: 10.1016/j.jclepro.2018.12.302
[18]	Haurine F (2015) Characterization of recent clay deposition on French territory with a view to their valorization as fired bricks in construction material industry (In French)[PhD's thesis]. ENMP, France. Available from: https://hal.science/tel-01423865/.
[19]	Hussain M, Levacher D, Leblanc N, et al. (2020) Sediment-based fired brick strength optimization. A discussion on different approaches. XVIème Journées Nationales Génie Côtier—Génie Civil, Le Havre, France, 649–658. https://doi.org/10.5150/jngcgc.2020.072
[20]	Val-uses, From traditional uses to integrated use of sediments in Usumacinta river basin. Hypotheses, 2021. Available from: https://usumacinta.hypotheses.org/date/2021/03.
[21]	Djeran-Maigre I, Razakamanantsoa A, Levacher D, et al. (2023) A relevant characterization of Usumacinta river sediments for a reuse in earthen construction and agriculture. J S Am Earth Sci 125: 104317. https://doi.org/10.1016/j.jsames.2023.104317 doi: 10.1016/j.jsames.2023.104317
[22]	AFNOR NF X31-107, Soil quality—Determination of the particle size distribution of soil particles—pipette method (In French). AFNOR, 2003. Available from: https://www.boutique.afnor.org/fr-fr/norme/nf-x31107/qualite-du-sol-determination-de-la-distribution-granulometrique-des-particu/fa124875/21997.
[23]	AFNOR NF ISO 10694, Soil quality—Dosage of organic carbon and total carbon after dry combustion (elementary analysis) (In French). AFNOR, 1995. Available from: https://www.boutique.afnor.org/fr-fr/norme/nf-iso-10694/qualite-du-sol-dosage-du-carbone-organique-et-du-carbone-total-apres-combus/fa036274/356.
[24]	AFNOR XP P 94-047, Identification and testing—Determination of the weight percentage of organic matter in a material (In French). AFNOR, 1998. Available from: https://www.boutique.afnor.org/fr-fr/norme/xp-p94047/sols-reconnaissance-et-essais-determination-de-la-teneur-ponderale-en-matie/fa018765/16163.
[25]	AFNOR NF EN ISO 17892-12, Identification and testing—laboratory tests on soils—part 12: Determination of liquidity and plasticity limits (In French). AFNOR, 2018. Available from: https://www.boutique.afnor.org/fr-fr/norme/nf-en-iso-1789212/reconnaissance-et-essais-geotechniques-essais-de-laboratoire-sur-les-sols-p/fa187930/84021.
[26]	AFNOR NF P 94-068, Soil identification and testing—measurement of methylene blue adsorption capacity of a soil or rocky material—determination of the methylene blue value of a soil or rocky material by testing task (In French). AFMOR, 1998. Available from: https://www.boutique.afnor.org/fr-fr/norme/nf-p94068/sols-reconnaissance-et-essais-mesure-de-la-capacite-dadsorption-de-bleu-de-/fa043689/394.
[27]	AFNOR NF ISO 10390, Soil quality—Determination of pH (In French). AFNOR, 2005. Available from: https://www.boutique.afnor.org/fr-fr/norme/nf-iso-10390/qualite-du-sol-determination-du-ph/fa117123/25226.
[28]	AFNOR NF P 94-093, Determination of the compaction references of a material (In French). AFNOR, 1999. Available from: https://www.boutique.afnor.org/fr-fr/norme/nf-p94093/sols-reconnaissance-et-essais-determination-des-references-de-compactage-du/fa049409/16553.
[29]	Yamaguchi K (2019) Consideration of the sustainable utilization of the sediments in Usumacinta River[Master's thesis]. Kyoto University, Japan.
[30]	Karaman S, Ersahin S, Guna H (2006) Firing temperature and firing time influence on mechanical and physical properties of clay bricks. J Sci Ind Res 65: 153–159.
[31]	Johari I, Said S, Hisham B, et al. (2010) Effect of the change of firing temperature on microstructure and physical properties of clay bricks from Beruas (Malaysia). Sci Sinter 42: 245–254. https://doi.org/10.2298/SOS1002245J doi: 10.2298/SOS1002245J
[32]	Trindade MJ, Dias MI, Coroado J, et al. (2009) Mineralogical transformations of calcareous rich clays with firing: A comparative study between calcite and dolomite rich clays from Algarve, Portugal. Appl Clay Sci 42: 345–355. https://doi.org/10.1016/j.clay.2008.02.008 doi: 10.1016/j.clay.2008.02.008
[33]	ASTM C1557-03, Standard test methods for tensile strength and young's modulus of fibers. American society for testing and analysis. ASTM International, 2004. Available from: https://webstore.ansi.org/standards/astm/astmc155703.
[34]	Dai Z, Zhou H, Zhang W, et al. (2019) The improvement in properties and environmental safety of fired clay bricks containing hazardous waste electroplating sludge: The role of Na₂SiO₃. J Clean Prod 228: 1455–1463. https://doi.org/10.1016/j.jclepro.2019.04.274 doi: 10.1016/j.jclepro.2019.04.274
[35]	Koroneos C, Dompros A (2007) Environmental assessment of brick production in Greece. Build Environ 42: 2114–2123. https://doi.org/10.1016/j.buildenv.2006.03.006 doi: 10.1016/j.buildenv.2006.03.006
[36]	Manoharan C, Sutharsan P, Dhanapandian S, et al. (2011) Analysis of temperature effect on ceramic brick production from alluvial deposits, Tamilnadu, India. Appl Clay Sci 54: 20–25. https://doi.org/10.1016/j.clay.2011.07.002 doi: 10.1016/j.clay.2011.07.002
[37]	Winkler HGF (1954) Significance of the grain size distribution and the mineral content of clays for the production of coarse ceramic products (In French). Ber DKG 31: 337–343.
[38]	Fonseca BS, Galhano CD, Seixas D (2015) Technical feasibility of reusing coal combustion by-products from a thermoelectric power plant in the manufacture of fired clay bricks. Appl Clay Sci 104: 189–195. https://doi.org/10.1016/j.clay.2014.11.030 doi: 10.1016/j.clay.2014.11.030
[39]	Taha Y (2017) Valorization of the mining waste in the manufacturing of fired bricks: Technical and environmental assessments (In French)[PhD's thesis]. University of Quebec in Abitibi-Témiscamingue, Canada. Available from: https://depositum.uqat.ca/id/eprint/697/.
[40]	Vasić MV, Goel G, Vasić M, et al. (2021) Recycling of waste coal dust for the energy-efficient fabrication of bricks: A laboratory to industrial-scale study. Environ Technol Innov 21: 101350. https://doi.org/10.1016/j.eti.2020.101350 doi: 10.1016/j.eti.2020.101350
[41]	Elert K, Cultrone G, Navarro CR, et al. (2003) Durability of bricks used in the conservation of historic buildings—influence of composition and microstructure. J Cult Herit 4: 91–99. https://doi.org/10.1016/S1296-2074(03)00020-7 doi: 10.1016/S1296-2074(03)00020-7
[42]	Kreimeyer R (1986) Some notes on the firing colour of clay bricks. Appl Clay Sci 2: 175–183. https://doi.org/10.1016/0169-1317(87)90007-X doi: 10.1016/0169-1317(87)90007-X
[43]	Cultrone G, Sidraba I, Sebastian E (2005) Mineralogical and physical characterization of the bricks used in the construction of the Triangul Bastion, Riga (Latvia). Appl Clay Sci 28: 297–308. https://doi.org/10.1016/j.clay.2004.02.005 doi: 10.1016/j.clay.2004.02.005
[44]	ASTM C62-17, Standard Specification for Building Brick (solid masonry units made from clay or shale). ASTM International, 2017. Available from: https://www.astm.org/workitem-wk83286.
[45]	Dalle MA, Le TTH, Meftah F, et al., Experimental study of the mechanical behavior of fired bricks (In French). National Masonry Day, 2020. Available from: http://www.ctmnc.fr/images/gallerie/Etude_experimentale_comportement_mecanique_brique_terre_cuite_CTMNC_INSA_Rennes_JNM_2021.pdf.
[46]	Tsega E, Mosisa A, Fufa F (2017) Effects of firing time and temperature on physical properties of fired clay bricks. Am J Civ Eng 5: 21–26. https://doi.org/10.11648/j.ajce.20170501.14 doi: 10.11648/j.ajce.20170501.14
[47]	Djeran-Maigre I, Morsel A, Hussain M, et al. (2022) Behaviour of masonry lateral loaded walls made with sediment-based bricks from the Usumacinta river (Mexico). Clean Eng Technol 11: 100587. https://doi.org/10.1016/j.clet.2022.100587 doi: 10.1016/j.clet.2022.100587
[48]	Fódi A (2011) Effects influencing the compressive strength of a solid, fired clay brick. Civil Eng 55: 117–128. https://doi.org/10.3311/pp.ci.2011-2.04 doi: 10.3311/pp.ci.2011-2.04
[49]	Quero VGJ, Paz JG, Guzmán MO (2021) Alternatives for improving the compressive strength of clay-based bricks. J Phys Conf Ser 1723: 012027. https://doi.org/10.1088/1742-6596/1723/1/012027 doi: 10.1088/1742-6596/1723/1/012027

This article has been cited by:

1.	Marwa Gamal, M. A. Zaky, M. El-Kady, M. Abdelhakem, Chebyshev polynomial derivative-based spectral tau approach for solving high-order differential equations, 2024, 43, 2238-3603, 10.1007/s40314-024-02908-y
2.	Faik Babadağ, Ali Atasoy, On hyper-dual vectors and angles with Pell, Pell-Lucas numbers, 2024, 9, 2473-6988, 30655, 10.3934/math.20241480
3.	Elahe Mehraban, T. Aaron Gulliver, Salah Mahmoud Boulaaras, Kamyar Hosseini, Evren Hincal, New sequences from the generalized Pell $p-$ numbers and mersenne numbers and their application in cryptography, 2024, 9, 2473-6988, 13537, 10.3934/math.2024660
4.	Tingting Du, Zhengang Wu, Some identities of the generalized bi-periodic Fibonacci and Lucas polynomials, 2024, 9, 2473-6988, 7492, 10.3934/math.2024363
5.	Waleed Mohamed Abd-Elhameed, Omar Mazen Alqubori, On generalized Hermite polynomials, 2024, 9, 2473-6988, 32463, 10.3934/math.20241556
6.	M. Abdelhakem, Dina Abdelhamied, M. El-Kady, Y. H. Youssri, Two modified shifted Chebyshev–Galerkin operational matrix methods for even-order partial boundary value problems, 2025, 2025, 1687-2770, 10.1186/s13661-025-02021-x
7.	Efe Yılmaz, Umutcan Vurucu, Furkan Karahan, Cihan Öztürk, A Life-threatening Focal Refractory Vasospasm: Is Stenting the Last or First Option?, 2025, 1, 30623227, 32, 10.4274/intercardiopers.2025.2025-2-4

Reader Comments

Your name:*

Email:*
© 2023 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Clean Technologies and Recycling

Metrics

Article views(1964) PDF downloads(145) Cited by(1)

Preview PDF

Download XML

Export Citation

Article outline

Show full outline

Figures and Tables

Figures(7) / Tables(11)

Clean Technologies and Recycling

A possible direct recycling of dredged sediments from the Usumacinta River (Mexico) into fired bricks

Related Papers:

Abstract

1. Introduction

2. Some fundamental properties of the convolved Pell polynomials

2.1. An overview of the convolved Pell polynomials

2.2. Classical JPs

2.3. Generalized Fibonacci and generalized Lucas polynomials

3. New derivative expressions of the convolved Pell polynomials

4. Derivatives of the convolved Pell polynomials in terms of various polynomials

4.1. Derivatives in terms of some orthogonal polynomials

4.2. Derivatives in terms of some other polynomials

5. Moments formulas

6. Some applications of the introduced formulas

6.1. New connections between some celebrated numbers

6.2. Some weighted integrals involving the convolved Pell polynomials

6.3. Some trigonometric identities

6.4. A specific definite integral formula for the convolved Pell polynomials

7. A matrix approach for convolved Pell polynomials

7.1. The convolved Pell sequence

7.2. The conjugate sequence

7.3. Basis

7.4. Recurrence relations and determinant forms

8. Conclusions

Use of AI tools declaration

Acknowledgement

Conflict of interest

References

This article has been cited by:

Reader Comments

通讯作者: 陈斌, bchen63@163.com

Metrics

Figures and Tables

Other Articles By Authors

Catalog

Clean Technologies and Recycling

A possible direct recycling of dredged sediments from the Usumacinta River (Mexico) into fired bricks

Related Papers:

Abstract

1. Introduction

2. Some fundamental properties of the convolved Pell polynomials

2.1. An overview of the convolved Pell polynomials

2.2. Classical JPs

2.3. Generalized Fibonacci and generalized Lucas polynomials

3. New derivative expressions of the convolved Pell polynomials

4. Derivatives of the convolved Pell polynomials in terms of various polynomials

4.1. Derivatives in terms of some orthogonal polynomials

4.2. Derivatives in terms of some other polynomials

5. Moments formulas

6. Some applications of the introduced formulas

6.1. New connections between some celebrated numbers

6.2. Some weighted integrals involving the convolved Pell polynomials

6.3. Some trigonometric identities

6.4. A specific definite integral formula for the convolved Pell polynomials

7. A matrix approach for convolved Pell polynomials

7.1. The convolved Pell sequence

7.2. The conjugate sequence

7.3. Basis

7.4. Recurrence relations and determinant forms

8. Conclusions

Use of AI tools declaration

Acknowledgement

Conflict of interest

References

This article has been cited by:

Reader Comments

通讯作者: 陈斌, bchen63@163.com

Metrics

Figures and Tables

Other Articles By Authors

Related pages

Tools

Export File

Citation

Format

Content

Catalog