1. Introduction and Preliminaries
Significant discoveries in the theory of group representation, statistics, quadrature and interpolation, scattering theory, imaging of medicine, and splines have led to the development of matrix polynomials and special matrix functions. Numerous disciplines of mathematics and engineering make use of special matrix polynomials (see, for example, [
1,
2], and the citations included therein). For instance, many mathematicians investigate and explore special matrix polynomials.
The Sheffer sequences [
3] are used extensively in mathematics, theoretical physics, theory of approximation, and various different mathematical disciplines. Roman [
4] naturally discusses the Sheffer polynomials’ properties in the context of contemporary classical umbral calculus. The Sheffer polynomials are given as follows (see [
4], p. 17): Set
and
power series, which are formally given as follows:
and
which are referred to as delta series and invertible series, respectively. Here and elsewhere, let
,
, and
be, respectively, the sets of complex numbers, real numbers, and integers. Let
be the sets of numbers in
less than or equal to
, less than
, greater than or equal to
, and greater than
, respectively, for some
, where
is either
or
.
With each pairing of an invertible series
and a delta series
, there is a unique sequence
of polynomials that satisfies the conditions of orthogonality (consult [
4], p. 17):
where
is the Kronecker delta function defined by
and
. The operator
is unchanged from [
4], Chapter 2.
Remark 1. The sequence satisfying (2) is called the Sheffer sequence for , or is Sheffer for , which is usually denoted as . Remain aware that and should be an invertible series and a delta series, respectively. There are two forms of Sheffer sequences worth noting:
- (i)
If , the is said to be the associated sequence for , or is associated with ;
- (ii)
If , the is said to be the Appell
sequence for , or is Appell
for (see [4], p. 17; see also [5]).
If is Sheffer for , the Sheffer sequence is generated by depending solely on the series and . To emphasize this dependence, in [5], the was represented by . Amid various Sheffer sequences’ characterizations, the following generating function is recalled (consult, for instance, [
4], p. 18): The sequence
is Sheffer for
if and only if:
for every
in
, where
is the inverse of composition of
.
The particular polynomials of two variables are significant in view of an application. In addition, these polynomials facilitate the derivation of numerous valuable identities and aid in the introduction of new families of particular polynomials; see, for instance, [
6,
7,
8,
9]. The Laguerre-Sheffer polynomials
are generated by the following function (consult [
10]):
for all
in
, where
denotes the 0th-order Bessel-Tricomi function, which possesses the subsequent operational law:
where
Generally,
where
is the well-known Gamma function (consult, for example, [
11], Section 1.1), which is a left-sided Riemann-Liouville fractional integral of order
(see, for example, [
12], Chapter 2). For some recent applications for geometric analysis, one may consult, for example, [
13,
14].
As in Remark 1, the case
and the case
of the Laguerre-Sheffer polynomials
in (
4) are called, respectively, the Laguerre-associated Sheffer sequence and the Laguerre-Appell sequence, and denoted, respectively, by
and
(consult [
15]).
Remark 2. For , let indicate the set of all κ by κ matrices whose entries are in . Let be the set of all eigenvalues of , which is said to be the spectrum of B. For , let and . If , that is, for all , the matrix B is referred to as positive stable.
For , its 2-norm is denoted by:where for any vector , is the Euclidean norm of ρ. Here indicates the Hermitian matrix of ρ. If and are holomorphic functions of the variable , which are defined in an open set Λ of the plane , and R is a matrix in such that , then from the matrix functional calculus’s characteristics ([16], p. 558), one finds that . Therefore, if Q in is another matrix with , such that , then (consult, for instance, [17,18]). As the reciprocal of the Gamma function indicated by is an entire function of the variable , for any R in , the functional calculus of Riesz-Dunford reveals that the image of acting on R, symbolized by , is a well-defined matrix (consult [16], Chapter 7). Recently, the matrix polynomials of Gould-Hopper (GHMaP)
were introduced by virtue of the subsequent generating function (consult [
19]):
Here are matrices in such that C is positive stable and an . Consider the principal branch of defined on the domain . Then, as in Remark 2, is well-defined if .
The polynomials
are specified to be the series
As a result of the idea of monomiality, the majority of the features of generalized and conventional polynomials have been demonstrated to be readily derivable within a framework of operations. The monomiality principle is underpinned by Steffensen’s [
20] introduction of the idea of poweroid. Following that, Dattoli [
21] reconstructed and elaborated the idea of monomiality (consult, for instance, [
22]).
As per the monomiality principle, there are two operators
and
that operate on a polynomial set
, termed the multiplicative and derivative operators, respectively. Then the polynomial set
is said to be quasi-monomial if it satisfies:
One easily finds from (
10) that
and
A Weyl group structure of the operators
and
is shown by the relation of commutation:
where
is the identity operator.
As a result of
acting on
, we may deduce the
:
The matrix polynomials of Gould-Hopper
are quasi-monomial with regard to the subsequent derivative and multiplicative operators [
23]:
and
respectively, where
.
The generalization
of the hypergeometric series is given by (consult, for instance, [
11], Section 1.5):
where
indicates the Pochhammer symbol (for
) defined by
Here it is assumed that
, an empty product as 1, and that the variable
w, the parameters of numerators
and the parameters of denominators
are supposed to get complex values, provided that
Recall the well-known generalized binomial theorem (consult, for example, [
24], p. 34):
Recall the familiar beta function (consult, for instance, [
11], p. 8):
Here we introduce the Gould-Hopper-Laguerre-Sheffer matrix polynomials (GHLSMaP), which are denoted by , by convoluting the Laguerre-Sheffer polynomials with the Gould-Hopper matrix polynomials . The polynomials are generated as in the following definition.
Definition 1. The Gould-Hopper-Laguerre-Sheffer matrix polynomials are generated by the following function: Here and in the sequel, the functions p, q, are as in (4); the matrices C, E are as in (8), (9), or (16); the variables . In addition, to emphasize the invertible series q and the delta series p, whenever necessary, the following notation is used: Further,is called the Gould-Hopper-Sheffer matrix polynomials. Remark 3. First we show how to derive the generating function in (22). In (4), replacing by the multiplicative operator in (16), and by , we obtain Recall the Crofton-type identity (see, for instance, [25], p. 12; see also [26]:with f usually being an analytic function. Setting gives: Using (25) in (26), we get By performing the operation in (28), with the aid of (32), we can readily find that is identical to the in (22). Second, as in (ii), Remark 1, setting in (22), we get the generating function for the Gould-Hopper-Laguerre-Appell matrix polynomials (GHLAMaP) in [27]. Using Euler’s integral for the Gamma function
(consult, for instance, Section 1.1 in [
11], p. 218 in [
24]), we get
Dattoli et al. [
28] used (
29) to obtain the following operator:
for the second equality of which (
27) is employed.
The following definition introduces the extended matrix polynomials of Gould-Hopper-Laguerre-Sheffer (EGHLSMaP), which are indicated by .
Definition 2. Let and . Then the extended Gould-Hopper-Laguerre-Sheffer matrix polynomials are defined by In this article, we aim to introduce the Gould-Hopper-Laguerre-Sheffer matrix polynomials via the use of a generating function. For these newly presented matrix polynomials, we investigate quasi-monomial features and related operational principles. We also explore the extended form of these novel hybrid special matrix polynomials and their properties using an integral transform. Finally, we provide many instances to demonstrate how the results presented here may be used.
3. Extended Gould-Hopper-Laguerre-Sheffer Matrix Polynomials
Fractional calculus is a well-established theory that is extensively employed in a broad variety of fields of science, engineering, and mathematics today. The use of integral transforms and operational procedures to new families of special polynomials is a reasonably effective technique (consult, for instance, [
28]).
This section provides some properties for the extended Gould-Hopper-Laguerre-Sheffer matrix polynomials in (
31).
Theorem 5. Let and . Then the following integral representation for the extended Gould-Hopper-Laguerre-Sheffer matrix polynomials holds true: Proof. Let
be the left-sided member of (
54). Using (
29) and (
31), we have
the second equality of which follows from (
34). □
The following theorem gives the generating function of the EGHLSMaP.
Theorem 6. The following function generates the extended Gould-Hopper-Laguerre-Sheffer matrix polynomials : Additionally, the following differential-recursive relation holds true: Proof. Multiplying each member of (
54) by
and adding over
n, one derives
Using (
22) in the integrand of the right-sided member of (
58) gives
the right member of which, upon using (
29), leads to the left-sided member of (
56).
Differentiating each member of (
56) about
, one may get (
57). □
The following theorem reveals that the EGHLSMaP is an extension of the GHLSMaP .
Theorem 7. The following identities hold true: Proof. Taking
and
in (
56), we get
Using (
20), we obtain
for the second and third equalities of which (
6) and (
17) are employed, respectively.
Now, setting the last expression of (
62) in (
61), in view of (
56), we obtain (
59).
Noting
we find that the resulting
is the generating function of the Gould-Hopper-Laguerre-Sheffer matrix polynomials
in (
22). We therefore have
which, upon equating the coefficients of
, yields (
60).
The identity (
60) may be obtained as follows: Combining (
31) and (
34) gives
□
Remark 6. As in (ii), Remark 1, the Laguerre-Sheffer polynomials reduce to the Laguerre-Appell polynomials (see [15]). Additionally, taking in the generating Equation (56), we can get the generalized Gould-Hopper-Laguerre-Appell matrix polynomials (see [27]). The following theorem reveals the quasi-monomial principle of the extended Gould-Hopper-Laguerre-Sheffer matrix polynomials .
Theorem 8. The matrix polynomials satisfy the following quasi-monomiality with regard to the operators of multiplication and differentiation:andrespectively. Here . Proof. From Theorem 3, we have
and
Replacing
by
in each member of (
66), multiplying both members of the resultant identity by
, and integrating each member of the last resultant identity with respect to
t from 0 to
∞, with the aid of (
54), one obtains
which proves (
64).
Furthermore, replacing
by
in both sides of (
65), multiplying both members of the resultant identity by
, and integrating both sides of the last resulting identity with respect to
t from 0 to
∞, with the help of (
54) and (
57), one can derive
As in Theorem 4, using the results in Theorem 8, a differential equation for the extended Gould-Hopper-Laguerre-Sheffer matrix polynomials can be given in Theorem 9.
Theorem 9. The following differential equation holds true: As in
Table 1,
Table 2 includes certain particular cases of the extended Gould-Hopper-Laguerre-Sheffer matrix polynomials
, among numerous ones.
Remark 7. As in (i), Remark 1, if , the Laguerre-Sheffer polynomials reduce to the Laguerre-associated Sheffer polynomials . The extended Gould-Hopper-Laguerre-Sheffer matrix polynomials reduce to the extended Gould-Hopper-Laguerre-associated Sheffer matrix polynomials (EGHLASMaP) . The following corollary contains the results for EGHLASMaP corresponding to those in Theorems 5–9. □
Corollary 5. - (i)
Let and . - (ii)
The polynomials are generated by means of the following function: Additionally, the following differential-recursive relation holds true: - (iii)
The matrix polynomials gratify quasi-monomiality with regard to the following operators of multiplication and differentiation:andrespectively. - (iv)
The following differential equation holds true:
4. Remarks and Further Particular Cases
The
in (
59), which is called the confluent hypergeometric function or Kummer’s function, is an important and useful particular case of
in (
17). It also has various other notations (consult, for instance, [
11], p. 70). For properties and identities of
, one may consult the monograph [
29]. In this regard, in view of (
59), one may offer a variety of identities for the
. In order to give a demonstration, the
in (
59) has the following integral representation (consult, for instance, [
11], p. 70, Equation (
46)):
Further, using (
35) and (
59), with the aid of (
21) and (
74), one may readily get the following identity:
The hybrid matrix polynomials introduced in
Section 2 and
Section 3, besides the demonstrated particular cases, may produce numerous other particular cases as well as corresponding properties. In this section, we combine the findings from
Section 2 and
Section 3 with several well-known (or classical) polynomials to derive some related identities.
- (a)
The Hermite polynomials
, which are generated by the following function (consult, for example, [
30]):
belongs to the Sheffer family by choosing
in (
3).
For these choices of
and
in (
22) and (
56), the GHLSMaP
and the EGHLSMaP
are called (denoted) as the matrix polynomials of Gould-Hopper-Laguerre-Hermite (GHLHMaP)
and the extended matrix polynomials of Gould-Hopper-Laguerre-Hermite (EGHLHMaP)
, respectively.
- (b)
The truncated exponential polynomials
, which are generated by the following function (consult, for example, [
31], p. 596, Equation (
4); see also [
32]):
belong to the Sheffer family by choosing
and
. As in (a), the GHLSMaP
and EGHLSMaP
are called (denoted) as the Gould-Hopper-Laguerre-truncated exponential matrix polynomials (GHLTEMaP)
and extended Gould-Hopper-Laguerre-truncated exponential matrix polynomials (EGHLTEMaP)
, respectively. As in (a), their properties are recorded in
Table 5 and
Table 6.
- (c)
The Mittag-Leffler polynomials
, which are the member of associated Sheffer family and defined as follows (see [
4]):
by choosing
and
. As in (a), the GHLASMaP
and the EGHLASMaP
are called (denoted) as the Gould-Hopper-Laguerre-Mittag-Leffler matrix polynomials (GHLMLMaP)
and the extended Gould-Hopper-Laguerre-Mittag-Leffler matrix polynomials (EGHLMLMaP)
, respectively. As in (a) or (b), their properties are recorded in
Table 7 and
Table 8.
Numerous necessary and sufficient properties for Sheffer sequences, accordingly, associated sequences and Appell sequences have been developed (see [
4], pp. 17–28). In addition to the identities in Corollaries 3 and 4, here, we record several identities for the Appell polynomials
in the following corollary, without their proofs (see [
4], pp. 26–28).
Corollary 6. The following identities hold true:
- (a)
- (b)
- (c)
(Conjugate representation)