Abstract
The main aim of this paper is to introduce a new class of Lommel matrix polynomials with the help of hypergeometric matrix function within complex analysis. We derive several properties such as an entire function, order, type, matrix recurrence relations, differential equation and integral representations for Lommel matrix polynomials and discuss its various special cases. Finally, we establish an entire function, order, type, explicit representation and several properties of modified Lommel matrix polynomials. There are also several unique examples of our comprehensive results constructed.
Keywords:
matrix functional calculus; hypergeometric matrix function; Lommel matrix polynomials (LMPs); Lommel matrix differential equations MSC:
33C20; 33C45; 33C47; 15A15; 15A60
1. Introduction
The Eugen von Lommel introduced Lommel polynomial of degree m in which for and any v in [1,2,3], and Watson arisen for these polynomials in the theory of Bessel functions in [4]. The study of special matrix polynomials and orthogonal matrix polynomials is important due to their applications in certain areas of statistics, physics, engineering, Lie groups theory, group representation theory and differential equations. Recently, Significant results emerged in the classical theory of orthogonal polynomials and special functions have been expanded to include many orthogonal matrix limits and special matrix functions and applications that have continued to appear in the literature until now (see for example [5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22]). In [23,24,25], Mathai et al. studied some Special function of matrix arguments. in [26], Nisar et al. introduced the modified Hermite matrix polynomials. In [27,28] Aydi et al. established Some formulas for quadruple hypergeometric functions. In mathematics, specifically in linear algebra, a symmetric matrix is a square matrix that is equal to its transpose, and a skew-symmetric (antimetric or antisymmetric) matrix is a square matrix which its transpose equals its negative. Symmetric matrices appear naturally in a variety of important applications, such as statistical analysis, control theory, and optimization. Classical orthogonal polynomials are solutions of differential equations. Therefore, Lommel matrix polynomials are an illustrative example of symmetric polynomials. Symmetric type of Lommel matrix polynomials is in general of physical importance.
The motive for that work is an extension of the paper presented by Shehata’s recent paper on Lommel matrix functions [29] and to prove new properties for Lommel matrix polynomials(LMPs). The outline of this paper is the following: Section 2 deals with the study of some generalizations of hypergeometric matrix function and prove new interesting properties. Section 3 provides the definition of Lommel matrix polynomials (LMPs), and recurrence matrix relations for Lommel matrix polynomials are given. We give also a matrix differential equation of the second order which is satisfied by Lommel matrix polynomials and we show the integral representations for Lommel matrix polynomials. Furthermore, the results of Section 2 and Section 3 are used in Section 4 and Section 5 to investigate the behavior of modified Lommel matrix polynomials (MLMPs). Finally, we give some concluding remarks in Section 6.
Preliminaries
In this subsection, we summarize basic facts, lemmas, notations and definitions of matrix functional calculus.
Throughout this paper, the identity matrix and the null matrix or zero matrix in will be denoted by and , respectively. If is a matrix in in the complex space of all square matrices of common order , its spectrum denotes the set of all eigenvalues of . The two-norm is defined as
where is the Euclidean norm of x for a vector .
Theorem 1
(Dunford and Schwartz [30]). If and are holomorphic functions of complex variable z, which are defined in an open set Φ of complex plane, then
where , are commutative matrices in with and , such that .
Definition 1
(Jódar and Cortés [31]). For in , we say that is a positive stable matrix if
Definition 2
(Jódar and Cortés [31]). Let be a positive stable matrix in , then Gamma matrix function is defined by
Definition 3
(Jódar and Sastre [12]). If is a matrix in such that
then is an invertible matrix in and the matrix analogues of Pochhammer symbol or shifted factorial is defined by
Fact 1
(Jódar and Cortés [32]). Let us denote the real numbers , for as in the following
Notation 1
(Jódar and Cortés [33]). If is a matrix in , then it follows that
and considering that , one gets
Definition 4
(Jódar and Cortés [32,33]). The hypergeometric matrix function is defined by
where , , and are matrices of such that is an invertible matrix for every integer .
Definition 5.
Let us take a matrix in such that
then the Bessel matrix functions (BMFs) of the first kind of order was defined in [16,34,35] as follows:
Theorem 2
(Jódar and Cortés [31]). Let be a positive stable matrix satisfying the condition for every eigenvalue and let be an integer, then we have
where is defined by (4).
Definition 6
(Jódar and Cortés [31]). Let and be positive stable matrices in , then Beta matrix function is defined by
Lemma 1.
If , and are positive stable matrices in satisfying the conditions , and , and are invertible matrices for all eigenvalues in [31], then we have
Lemma 2
(Defez and Jódar [36]). For , and is a matrix in , the following relation is satisfied:
Corollary 1
(Batahan [37]; Defez and Jódar [38]). Let and be matrices in such that , and are positive stable matrices with and is an invertible matrix for every integer . Then, for r is a non-negative integer, the following holds
2. Hypergeometric Matrix Function : Definition and Properties
In this section, we define the hypergeometric matrix function under certain conditions. The radius of convergence properties, order, type, matrix differential equations and transformation of the hypergeometric matrix function are given.
Definition 7.
Let us define the hypergeometric matrix function in the form
where , , , and are commutative matrices such that
Using the identity
we get
Summarizing, the result has been proven.
Theorem 3.
The hypergeometric matrix function is an entire function of z.
Theorem 4.
The hypergeometric matrix function is an entire function of order and type zero.
Proof.
If
is an entire function in [39,42,43], then the order and type of f are given by
and
Now, we calculate the order of the function as follows:
where
and
Further, we calculate the type of the function as follows:
which gives
where
□
Next, by using of a operator , which has an interesting property , we obtain
Replace s by , we have
This result is summarized below.
Theorem 5.
The function is a solution of a matrix differential equation
Here, we establish various transformation formulae for hypergeometric matrix function .
Theorem 6.
Let and be matrices in , where , , are positive stable matrices and is an invertible matrix for every integer and , then
Theorem 7.
If and are commutative matrices in , then
where , , are positive stable matrices for every integer and , , are invertible matrices for every integer .
Theorem 8.
Let and be matrices in satisfying the conditions , , are positive stable matrices for every integer and , , are invertible matrices for every integer , and let and be two BMFs of complex variable z, then the product of two BMFs have the following properties:
Corollary 2.
Let be a matrix in satisfying the conditions , , are positive stable matrices for every integer and , are invertible matrices for every integer , then the product of two BMFs satisfy the following properties:
3. On Lommel’s Matrix Polynomials
Here we define Lommel matrix polynomials (LMPs) and derive matrix recurrence relations, differential equations and integral representations for these matrix polynomials.
Definition 8.
Let us consider the Lommel’s matrix polynomials (LMPs)
where and are matrices in satisfy the condition
Throughout the current section consider that the matrices and are commutative matrices in and satisfy condition (32).
Theorem 9.
The polynomials is an entire function of order and type zero.
Explicitly, the first few polynomials are in succession from the formulae
Corollary 3.
Proof.
Next, let us give the connection of LMPs and BMFs.
Corollary 4.
Let and be matrices in satisfy (32) and is an invertible matrix in . Then the connection of LMPs and BMFs satisfy
Proof.
From (31), we have
Now, we can write
so that
Hence,
and
Since
is absolutely convergent, it follows that
□
Theorem 10.
The LMPs is a solution of the Lommel matrix differential equation
Corollary 5.
The LMPs and Laguerre matrix polynomials satisfy following connection
Proof.
Theorem 11.
If , , and are matrices satisfying the condition (32), the LMPs satisfies the following matrix pure recurrence relations
and
Theorem 12.
If , , and are matrices satisfying the condition (32), we obtain the following matrix differential relations
and
Proof.
Now, we obtain a class of new integral representations involving Lommel matrix polynomials.
Theorem 13.
The LMPs satisfy the following integral representations:
where , , , and are invertible matrices and
where , , and are invertible matrices.
4. Modified Lommel Matrix Polynomials
Throughout the current section suppose that the matrices and are commutative matrices in and satisfy (32), we define the modified Lommel matrix polynomials (MLMPs) and discus various properties established by these polynomials.
Definition 9.
Let and be commutative matrices in satisfying the condition (32), then we define the modified Lommel matrix polynomials by
Theorem 14.
For MLMPs the following matrix pure recurrence relation holds
where , and are commutative matrices in satisfy (32).
Proof.
The proof of the theorem is very a similar to Theorem 11. □
By the help of explicit representations (49), we obtain for the MLMPs
Corollary 6.
The MLMPs and Bessel matrix functions satisfy following connection
where is an invertible matrix in .
Proof.
The proof of the corollary is very similar to Corollary 4. □
Corollary 7.
For modified Lommel matrix polynomials, we have
Proof.
Using (49), we get proof of Corollary. □
Theorem 15.
The following modified Lommel matrix differential equation for MLMPs holds true:
5. Modified Lommel Matrix Polynomials
Throughout the current section consider that the matrices and are commutative matrices in and satisfy (32), we define the modified Lommel matrix polynomials (MLMPs) and discuss several result proved by these polynomials.
Definition 10.
Let and be commutative matrices in satisfy (32). Then, we define the modified Lommel matrix polynomials by the equation
So that the Lommel matrix polynomials are as follows
Theorem 16.
The is an entire function of order and type zero.
Theorem 17.
For MLMPs , the following matrix recurrence relations hold
and
where , , and are matrices in satisfy (32).
Theorem 18.
For MLMPs , the following matrix pure recurrence relation hold
where and are matrices in satisfy (32).
Theorem 19.
For the matrix polynomials , we have the following matrix differential equation
6. Concluding Remarks
We conclude our present study, we have investigated the radius of convergence properties, order, type, matrix differential equations and transformation of the hypergeometric matrix function . Furthermore, we have derived matrix recurrence relations, differential equations and integral representations for the Lommel matrix polynomials (LMPs) . Moreover, we have established and proved some properties for modified Lommel matrix polynomials (MLMPs) and . Therefore, the results of this work are variant, unique, noteworthy and so it is intriguing and capable to develop its study in the future.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
The data that support the findings of this paper are available, as they are requested.
Acknowledgments
The researcher would like to thank the Deanship of Scientific Research, Qassim University for funding publication of this project. The author wish to thank the referees for the suggestions, valuable remarks and comments that will be made to improve the presentation of the paper.
Conflicts of Interest
The author of this paper declare that they have no conflict of interest.
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