Abstract

Various new generalized forms of the Gegenbauer matrix polynomials are introduced using the integral representation method, which allows us to express them in terms of Hermite matrix polynomials. Certain properties for these new generalized Gegenbauer matrix polynomials such as recurrence relations and expansion in terms of Hermite matrix polynomials are derived. Further, several families of bilinear and bilateral generating matrix relations for these polynomials are established and their applications are presented.

1. Introduction

Theory of generalized and multivariable special functions has provided new means of analysis to deal with the majority of problems in mathematical physics which find broad practical applications. Further, an extension to the matrix framework of special functions is special matrix functions. The study of special matrix polynomials is important due to their applications in certain areas of statistics, physics, and engineering. In recent years, some results in the theory of classical orthogonal polynomials have been extended to orthogonal matrix polynomials [1], which forms an emergent field and plays an important role from both the theoretical and practical point of view. Orthogonal matrix polynomials appear in connection with representation theory, matrix expansion problems, prediction theory, and in the reconstruction of matrix functions. The Laguerre and Hermite matrix polynomials and their extension and generalizations have been introduced and studied in [29] for matrices in whose eigenvalues are all situated in right open half-plane.

If is the complex plane cut along the negative real axis and denotes the principal logarithm of , then represents . If is a matrix in with where (the spectrum of ) is the set of all the eigenvalues of , then denotes the image by of the matrix functional calculus acting on the matrix . Throughout this paper, we assume that is a positive stable matrix in ; that is, satisfies the following condition:

First, we recall that the Chebyshev polynomials (CP) and Gegenbauer polynomials (GP) are defined in [10] as

Next, we recall certain recently introduced Hermite matrix and Laguerre matrix polynomials. We mentioned these matrix polynomials in Table 1.

Due to the importance of generalized Hermite matrix polynomials, which find broad practical applications recently, Batahan [2] introduces a matrix version of Chebyshev polynomials in terms of 2VHMaP (Table 1(I)).

To give an idea of the procedure adopted in [11], we use 2VHMaP to introduce the generalized Chebyshev matrix polynomials of the second kind (gCMaP) by the following integral representation and series definitions [2, p.91]: respectively. The relevant generating function which was obtained by using the integral representation (4) is given as

It is evident that

Motivated by the work of Dattoli et al. [11] who have used the link between Hermite and Gegenbauer polynomials to introduce generalized forms of Gegenbauer polynomials where the strategy of generalization outlined in [11] benefits from the variety of existing Hermite polynomials in this paper, Hermite matrix polynomials and its various generalizations were exploited to introduce a matrix version of Gegenbauer polynomials.

The use of integral representations relating to Gegenbauer matrix polynomials and Hermite matrix polynomials is a fairly useful tool of analysis which also offers interesting criteria of generalizations. By combining the wealth of different forms of Hermite matrix polynomials and the flexibility of the proposed representations, we can establish within such a framework a systematic procedure of generalization involving new representations of Gegenbauer matrix and generalized Gegenbauer matrix polynomials. Further, certain properties involving newly introduced 3-variable 1-parameter generalized Gegenbauer matrix polynomials (3V1PgGeMaP) are derived which include recurrence relations, expansion in the series of Hermite matrix polynomial. The bilinear and bilateral generating matrix relations for 3V1PgGeMaP are also established which further leads to certain new and known bilinear and bilateral generating matrix relations as special case.

In Section 2, we introduce two forms of Gegenbauer matrix polynomials. In Section 3, we introduce two forms of generalized Gegenbauer matrix polynomials and derive certain properties involving these polynomials. In Section 4, we obtain expansion for 3V1PgGeMaP . In Section 5, we establish certain bilinear and bilateral generating matrix relations involving 3V1PgGeMaP. In Section 6, concluding remarks are given.

2. Gegenbauer Matrix Polynomials

The 2VHMaP (Table 1(I)) will be exploited here to introduce a matrix version of Gegenbauer polynomials. The Gegenbauer matrix polynomials (GeMaP) involving can be define in the following form:

It is evident that in view of the relation that Equation (8) can be expressed equivalently as

Now, making use of (2) and formula (see [12]) we find that the GeMaP are defined by the following series:

Multiplying (10) by and then summing up over , we find

Now, using the generating function of (Table 1(I)) in the r.h.s. of the above equation and then using relation (11) on the resultant equation, we get the following generating function of the GeMaP :

Further, generalization of can be obtained by introducing the 2-variable 1-parameter Gegenbauer matrix polynomials (2V1PGeMaP) by using 2VHMaP (Table 1(I)) in the following form:

Also, in view of relation (9), the above equation can be expressed equivalently as

By employing the same procedure as above, we can easily obtain the series definition and generating function for the 2V1PGeMaP as respectively.

We note the following special cases: where , , and denote the gCMaP defined by (5), the GeP defined by (3), and the GeMaP defined by (12), respectively.

3. Generalized Gegenbauer Matrix Polynomials

We use the 2I2VHMaP (Table 1(II)) to introduce the 2-variable 1-parameter generalized Gegenbauer matrix polynomials (2V1PgGeMaP) in the following form:

It is evident that in view of the relation that Equation (20) can be expressed equivalently as

Now, making use of the series definition of (Table 1(II)) and formula (11), we find that the 2V1PgGeMaP are defined by the following series:

It is indeed easy to note the following special cases: where is the Pochhammer symbol.

The generating function for can be obtained with the help of the generating function of 2I2VHMaP (Table 1(II)). Multiplying (22) by and then summing up over , we find

Further, using generating function of 2I2VHMaP in the r.h.s. of the above equation and then using relation (11) on the resultant equation, we get the following generating function for the 2V1PgGeMaP :

Now, we can establish the generalization of by introducing the 3V1PgGeMaP using 3I3VHMaP (Table 1(III)) in the following form:

It is evident that in view of the relation that Equation (27) can be expressed equivalently as

Further, proceeding on the same line as discussed above, we can obtain the following series definition and generating function for the 3V1PgGeMaP : respectively.

We note the following special cases:

Furthermore, using the integral representation (29), we establish some matrix differential recurrence relations for the 3V1PgGeMaP with the help of the corresponding properties of the 3I3VHMaP . For example, the recurrence relations satisfied by the 3I3VHMaP are derived in [8]. Now, replacing by , by , and by in the equations [8, p. 228 (3.11), 229 (3.14, 3.15, 3.20)] and using relation we get the new set of recurrence relation. Again, multiplying the resultant equations by , integrating it with respect to between the limits to , and then using the integral representation (29), we get the following recurrence relations for : respectively.

Similarly, we can obtain other sets of recurrence relations for 3V1PgGeMaP with the help of the corresponding properties of the 3I3VHMaP as

Also, from the above relations we easily obtain

4. Expansion of 3V1PgGeMaP

In this section, we obtain the expansion of the 3V1PgGeMaP in the series of 3I3VHMaP . In order to obtain this, we first derive the expansion of in the series of by using the generating function (Table 1(III)) in the form

Now, since which on multiplying by , using relation (see [12]) and then using expression (37) in the resultant equation yield

Again, using relation (39) and in view of the fact equation (40) becomes which on equating coefficients of on both sides gives where

5. Bilinear and Bilateral Generating Matrix Relations for

In order to derive several families of bilinear and bilateral generating matrix relations for the 3V1PgGeMaP , we first state our result as follows.

Theorem 1. Corresponding to nonvanishing functions consisting of (real or complex) variables    and of complex order , let and for , where and is a matrix in satisfying the condition (1). Then one has provided that each member of (47) exists.

Proof. Denote, for convenience, the first member of the assertion (47) of Theorem 1 by . Then, upon substituting for the polynomial which comes from (46) into the left hand side of (47), we get
Now replacing by in the r.h.s. of (48) and using relation (39) in the resultant equation, we find which proves the assertion (47) of Theorem 1.

In order to discuss further applications of Theorem of 1, we consider the multivariable function    in terms of the functions of one or more variables. For example, consider the case of and in Theorem 1, where denotes the 2VLMaP (Table 1(IV)). Then we obtain the following result which provides a class of bilateral generating matrix relations for 3V1PgGeMaP and 2VLMaP .

Corollary 2. Let and for , where , and and is a matrix in satisfying the condition (1) and invertible for every integer . Then we have provided that each member of (52) exists.

Remark 3. Using the generating matrix functions for 2VLMaP (Table 1(IV)) and taking and in the generating matrix relations (52), we get which for gives
Also, taking and using relation (32b) in (53), we find where denotes the 2V1PgGeMaP defined by (25) and for , (55) reduces to the bilateral generating matrix relations for 2V1PgGeMaP and LMaP .
Further taking ,   ,   and using relation (32c) in (53), we find which for gives a known bilateral generating matrix relations [13, p.30].
Again, set and in Theorem 1, where denotes the 2VMLMaP (Table 1(V)). Then, we obtain the following result which provides a class of bilateral generating matrix relations for 3V1PgGeMaP and 2VMLMaP .

Corollary 4. Let and for , where , and and is a matrix in satisfying the condition (1). Then we have provided that each member of (59) exists.

Remark 5. Using the generating matrix functions for 2VMLMaP (Table 1(V)) and taking and in the generating matrix relations (59), we get which for gives
Also, taking and using relation (32b) in (60), we find which for gives bilateral generating matrix relations for 2V1PgGeMaP and MLMaP .
Further taking , , and using relation (32c) in (60), we find

Next, set and in Theorem 1, where denotes the gCMaP defined by (5). Then, we obtain the following result which provides a class of bilateral generating matrix relations for 3V1PgGeMaP and gCMaP .

Corollary 6. Let and for , where , and and is a matrix in satisfying the condition (1). Then we have provided that each member of (66) exists.

Remark 7. Using the generating matrix functions (6) for gCMaP and taking and in the generating matrix relations (66), we get which for gives
Also, taking and using relation (32b) in (67), we find which for gives bilateral generating matrix relations for 2V1PgGeMaP and CMaP .
Further, taking , , and and using relation (32c) in (67), we find a bilinear generating matrix relations which for gives known bilinear generating matrix relations [13, p.31].
Again, set and in Theorem 1, where denotes the 2VHMaP (Table 1(I)). Then we obtain the following result which provides a class of bilateral generating matrix relations for 3V1PgGeMaP and 2VHMaP .

Corollary 8. Let and for , where , and and is a matrix in satisfying the condition (1). Then we have provided that each member of (73) exists.

Remark 9. Using the generating matrix functions for 2VHMaP and taking , and in the generating matrix relations (73), we get which for yields
Also, taking and using relation (32b) in (74), we find which for gives bilateral generating matrix relations for 2V1PgGeMaP and HMaP .
Further, taking , , and using relation (32c) in (74), we obtain which for gives a known bilateral generating matrix relations [13, p.32].
Again set and in Theorem 1, where denotes the 3V1PgGeMaP defined by (30). Then we obtain the following result which provides a class of bilinear generating matrix relations for 3V1PgGeMaP .

Corollary 10. Let and for , where , and and is a matrix in satisfying the condition (1). Then we have provided that each member of (80) exists.

Remark 11. Using the generating matrix functions (31) for 3V1PgGeMaP and taking and in the generating matrix relations (80), we get
Further, taking and using relation (32b) in the previous equation, we find
Also, taking , , and and using relation ((32b), (32c)) in (81), we get

6. Concluding Remarks

Very recently, Dattoli et al. [14] introduced the 2-variable generalized Legendre polynomials (2VgLeP) , defined by the series

These polynomials are introduced by taking the action of the following operator [14, p.84 ]: on and then using the operational definition of 2-variable Hermite-Kampé de Fériet polynomials (2VHKdFP) [15] and the property of the dilation operator [15], so as to obtain which yields definition (84).

In order to take the advantage of this technique, we introduce the following operator :

Now, operating on and then making use of (86), (87), (9), and (15), we obtain the following operational representation for the 2V1PGeMaP : which for and in view of relation (19) yields the following operational representation for the GeMaP : where

Now, to find the operational representation for the 3V1PgGeMaP , we introduce the following generalization of operator (89): which on using (27), (87), and the operational rule of 3I3VHMaP [8] gives

Taking in (95) and using relations ((32a), (32b), and (32c)), we find the following operational representation for the 2V1PgGeMaP : where

In particular, we note that

In this paper, several new matrix polynomials are introduced using integral transform method allowing the derivation of a wealth of relations involving these polynomials. These results allow us to note that the use of the method of the integral representation is a fairly important tool of analysis and can be usefully extended to other families of polynomials which is a problem for further research.

Conflict of Interests

The author declares that there is no conflict of interests regarding the publication of this paper.

Acknowledgment

The author is thankful to the referees for several useful comments and suggestions towards the improvement of this paper.