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Article

Some Results of R-Matrix Functions and Their Fractional Calculus

1
Mathematics Department, College of Science, King Khalid University, Abha 61413, Saudi Arabia
2
College of Mathematics and System Sciences, Xinjiang University, Urumqi 830046, China
3
Department of Mathematics, Faculty of Science, Al-Azhar University, Assiut 71524, Egypt
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Fractal Fract. 2025, 9(2), 82; https://doi.org/10.3390/fractalfract9020082
Submission received: 19 November 2024 / Revised: 21 January 2025 / Accepted: 23 January 2025 / Published: 25 January 2025

Abstract

:
In this study, we explore various fractional integral properties of R-matrix functions using the Hilfer fractional derivative operator within the framework of fractional calculus. We introduce the θ integral operator and extend its definition to include the R matrix functions. The composition of Riemann–Liouville fractional integral and differential operators is determined using the θ -integral operator. Additionally, we investigate the compositional properties of θ -integral operators, and we establish their inversion, offering new insights into their structural and functional characteristics.

1. Introduction

Fractional analysis, a branch of mathematics concerned with generalizations of classical calculus to non-integer orders, has garnered significant attention in recent decades. Its foundation lies in extending the concepts of differentiation and integration to fractional, real, or even complex orders, thereby enabling the modeling of phenomena characterized by memory, hereditary properties, and anomalous diffusion. This mathematical framework finds applications in diverse fields, including physics, engineering, biology, and finance [1]. Fractional analysis has a profound connection with special functions, as many solutions to fractional differential equations are expressed in terms of such functions. For instance, Mittag–Leffler functions: Often regarded as the “fractional exponential function”, Mittag–Leffler functions naturally emerge as solutions to fractional-order differential equations [2]. They generalize the exponential function, providing a broader framework for modeling phenomena like anomalous relaxation and viscoelasticity, and hypergeometric Functions are frequently encountered in fractional calculus, particularly in the study of integral transforms and solutions to fractional differential equations [3]. Furthermore, the Wright Functions are used in analyzing fractional processes; Wright functions generalize both exponential and Mittag–Leffler functions.
Recall the definition of the R q p ( φ 1 , φ 2 ; z ) function as given in [4]:
R q p ( φ 1 , φ 2 ; z ) = R q p u 1 , , u p v 1 , , v q φ 1 , φ 2 ; z = n 0 1 Γ ( φ 1 n + φ 2 ) ( u 1 ) n ( u p ) n ( v 1 ) n ( v q ) n z n n ! ,
where p , q are positive integers and φ 1 , φ 2 are complex numbers where Re ( φ 1 ) , Re ( φ 2 ) , Re ( u i ) , Re ( v j ) are all positive for i = 1 , 2 , , p and j = 1 , 2 , , q . The expression ( u ) n is referred to the Pochhammer symbol, and given as
( u ) n = u ( u + 1 ) ( u + n 1 ) = Γ ( u + n ) Γ ( u ) , n 1 1 , n = 0 .
In recent years, the extension of special functions into the matrix setting is one of the crucial and efficient topics which has attracted many researchers on the last decades. There are matrix equivalents classes of special functions in Lie group theory, group representation theory, number theory, statistics, and medical imaging (see [5,6,7,8]).
In addition, orthogonal matrix polynomials and special matrix functions are intricately connected, as evidenced by their relationship through matrix differential equations and the Frobenius method, particularly in the case of well-known matrix polynomials such as Laguerre, Hermite, and Gegenbauer [8,9,10,11,12].
In [13,14,15], Jódar and Cortèes studied the gamma, beta and Gauss hypergeometric functions in the matrix setting. The generalization of special matrix functions in one variable to n variables was introduced by Dwivedi and Sahai [16,17]. Many polynomials in one variable or several variables have been discussed in the context of matrices (see [18,19,20,21]).
In [22], R. Sanjhira and R. Dwivedi introduced a new type of matrix function, named R q p ( P , Q ; z ) , and determined some of its characterizations including regions of convergence, some contiguous matrix function relations, integral representations, and differential formulas.
In this study, we extend the framework of fractional calculus by introducing the θ -integral operator and investigating its interplay with R-matrix functions. Additionally, we explore the relationship between the θ -integral operator and Wright functions, uncovering new compositional and inversion properties. The results not only generalize existing theories, but also provide novel tools for analyzing fractional differential equations that incorporate R-matrix and Wright functions.
The current study not only contributes to the theoretical advancement of fractional calculus, but also broadens its application potential, particularly through the innovative use of Wright functions in conjunction with the θ -integral operator. These results represent a significant step forward in understanding fractional systems, and open new avenues for future research.
Overall, this study contributes to the ongoing advancement of fractional calculus by uncovering new properties of R-matrix functions and introducing innovative operator-based methodologies. These findings open avenues for further research into fractional systems and their applications in modeling complex phenomena.
This paper is devoted to deriving an integral equation evolving two multiplied R-matrix functions associated with power functions that can be attained by employing the ρ ν -transform convolution theorem. Subsequently, we propose a recurrence relation and some integral representations of the R-matrix function. Additionally, the operator for the Hilfer fractional derivative and the Riemann–Liouville fractional integral and derivatives are composed R-matrix functions are used.
The paper content is outlined briefly as follows. Section 2 provides brief introductory discussions of special matrix functions that are necessary for further development of the paper. The integral equation for which the multiplication of two R-matrix functions is introduced in Section 3 by using the convolution theorem of ρ ν -transform. Moreover, more results are provided where we combine the R-matrix functions, Hilfer fractional derivative matrix operator, and Riemann–Liouville fractional integrals and derivatives. In Section 4, we shall obtain the composite of fractional calculus operators with θ -integral operator. In Section 5 are several applications on integral operators associated with R-matrix functions. Concluding remarks and future work have been displayed in Section 6.
The flowchart in Figure 1 outlines the key steps and procedures used to derive the results presented in this paper.

2. Notations and Basic Formulas

Throughout this paper, the spectrum σ ( P ) is the set of eigenvalues of the matrix P in C h × h . Suppose that
μ ( P ) = max { Re ( z ) : z σ ( P ) } , ν ( P ) = min { Re ( z ) : z σ ( P ) } .
Let I and 0 denote the unit matrix and the zero matrix, respectively. The matrix P is called positive stable if and only if β ( P ) > 0 .
Consider the two holomorphic functions Φ ( z ) and Ψ ( z ) , which are defined on the open set Ω C . Now, consider P to be a matrix in C h × h for which σ ( P ) belongs to Ω , then using the properties of the matrix sunctional analysis [9,16], we conclude the following:
Φ ( P ) Ψ ( P ) = Ψ ( P ) Φ ( P ) .
It is known that the reciprocal Gamma function, Γ 1 ( z ) = 1 Γ ( z ) , represents an entire function of z. The matrix Γ 1 ( P ) , which refers to the image of Γ 1 ( z ) acting on the matrix P, is well-defined. Moreover, the matrix P + n I is invertible for all integers n 0 .
Let P be a matrix in C h × h . As in [16], the matrix argument’s Pochhammer symbol is given in the form
( P ) n = P ( P + I ) ( P + ( n 1 ) I ) = Γ 1 ( P ) Γ ( P + n I ) , n 1 , I , n = 0 .
Assume that P and Q are two positive stable matrices in C h × h . The authors of [14,16] defined the Gamma matrix function and the Beta matrix function, respectively, as follows:
Γ ( P ) = 0 e t t P I d t , B ( P , Q ) = 0 1 t P I ( 1 t ) Q I d t ,
where t P I = exp ( ( P I ) ln t ) . If P , Q C h × h are commutative matrices for which the P + n I , Q + n I and P + Q + n I are invertible matrices for every n 0 ; then [14,16],
B ( P , Q ) = Γ ( P ) Γ ( Q ) [ Γ ( P + Q ) ] 1 .
In [14], Jódar and Cortés showed that
Γ ( P ) = lim n ( n 1 ) ! [ ( P ) n ] 1 n P ,
where n 1 is an integer. The 2-numerator and 1-denominator hypergeometric matrix function for | z | < 1 is defined by the matrix power series as (see [14,23]). Consider the matrices P , Q , and S in C h × h , where S + n I is invertible matrix for every n 0 . Then,
F 1 2 ( P , Q , S ; z ) = n 0 ( P ) n ( Q ) n [ ( S ) n ] 1 z n n ! .
The authors of [22] conducted a study recently on the matrices that arise in the series form of the extended hypergeometric matrix functions R q p ( P , Q ; z ) , with matrices appearing in its series representation and they investigated several of their characterizations. The notation ( P ) was used in [22] to express an array of p × p matrices P 1 , P 2 , , P k for some k N .
Definition 1.
Assume that P , Q , S i and D j in C h × h are positive stable matrices, such that 1 i p , 1 j q and D j + k I are invertible for all integers k 0 . The matrix function R q p ( P , Q : ( S ) , ( D ) ; z ) is given in the form
R q p ( P , Q : ( S ) , ( D ) ; z ) = R q p S 1 , , S p D 1 , , D q P , Q ; z = n 0 Γ 1 ( n P + Q ) S 1 n S p n × D 1 n 1 D q n 1 z n n ! = R q p S p D q | P ; Q ; z ,
if the series is absolutely convergent where S p = S 1 , , S p , D q = D 1 , , D q .
Moreover, the series is absolutely convergent; if p q + 1 , we have all finite values of | z | . However, if p = q + 2 , then the series converges only when | z | < 1 . Note that for the values | z | = 1 , the series converges absolutely when ν D 1 + + ν D q > μ S 1 + + μ S p .
Theorem 1.
([24]) Suppose that P , Q , S p and D q are in C h × h such that D j + k I 1 < j < q is inevitable for all k Z where k 0 . The R-matrix function have the following differential property:
d d z k z Q I R q p S p D q | P , Q ; w z P = z Q ( k + 1 ) I R q p S p D q | P , Q k I ; w z P
d d w k z Q I R q p S p D q | P , Q ; w z P = z k P + Q I [ ( S p ) n ] [ ( D q ) n ] 1 R q p S p + k I D q + k I | P , k P + Q ; w z P

3. The R-Matrix Function’s Integral Representation and Recurrence Relation

The emphasis of the current section is directed to deriving certain integral formulas, including the multiplication of two R-matrix functions by using the ρ ν -transform. Moreover, we deduce a recurrence relation of the R-matrix function, and one of its integral representations is provided.
The ρ ν -transform is defined in [25,26] as
ρ ν [ f ( t ) , s ] = F ( s ) = 0 [ 1 + ( ν 1 ) s ] t ν 1 f ( t ) d t , ν > 1
with
lim ν 1 + [ 1 + ( ν 1 ) s ] t ν 1 = e s t .
The Laplace transform ( L [ . , . ] ) is generalized by this transformation, which can be seen from
lim ν 1 ρ ν [ f ( t ) , s ] = L [ f ( t ) , s ] .
Now, we can defined the ρ ν -matrix transform as follows.
Definition 2.
The ρ ν -transform of t P I for any P C h × h is given by
ρ ν [ ( t P I ) ; s ] = 0 [ 1 + ( v 1 ) s ] t v 1 t P I d t .
Lemma 1.
The ρ ν -transform of the power matrix t P I is defined by
ρ ν t P I ; s = ν 1 ln [ 1 + ( ν 1 ) s ] P Γ ( P ) ,
where μ ( P ) > 0 and ν > 1 .
Proof. 
By using (14) and substituting t = ν 1 ln [ 1 + ( ν 1 ) s ] u and simplifying, we obtain the result in (15). □
Lemma 2.
Let P , Q , S p and D q be in C h × h , for which D j + k I , 1 < j < q are invertible for all k Z where k 0 . Then, the ρ ν -transform of R-matrix functions is given by
ρ ν t Q I R q p S p D q | P ; Q ; z t P ; s = ν 1 ln [ 1 + ( ν 1 ) s ] Q × p F q S p ; D q ; z ( ν 1 ) P ln [ 1 + ( ν 1 ) s ] P
Proof. 
By using (9) and (14), we obtain
ρ ν t Q I R q p S p D q | P , Q ; z t P ; s = n = v Γ 1 ( n P + Q ) [ ( S p ) n ] [ ( D q ) n ] 1 z n n ! × ρ ν t n P + Q I ; s .
Therefore, owing to (15), the proof is accomplished. □
Remark 1.
If we take limit ν 1 in (16), then it reduces to
L z Q I R q p S p D q | P , Q ; z t P ; s = s Q F q p S p ; D q ; z s P .
Theorem 2.
Let P , Q , H , S p , D q , G p and F q be in C h × h such that D j + k I , G j + k I , 1 < j < q is inevitability for every integer k 0 . Then,
0 x ( x t ) Q I R q p S p D q | P , Q ; z ( x t ) P × t H I R q p G p F q | P , H , z t P d t = x Q + H I R q p S p + G p D q + F q | P , Q + H ; z x P
Proof. 
From the convolution of ρ ν transform as
ρ ν 0 x k ( x t ) f ( t ) d t ( s ) = ρ ν [ k ( s ) ] ( s ) · ρ ν [ f ( x ) ] ( s )
and owing to Lemma 2, it follows that
ρ ν [ 0 x ( x t ) Q I R q p S p D q | P , Q ; z ( x t ) P × t H I R q p G p F q | P , H ; z t P d t ; s ] = ρ ν x Q I R q p S p D q | P , Q ; z x P ; s ρ ν x H I R q p G p F q | P , H ; z x P ; s = ν 1 ln [ 1 + ( ν 1 ) s ] Q + H n = 0 m = 0 ( S p ) n ( D q ) n 1 × G p n F q n 1 z n + m n ! m ! ( ν 1 ) P ( ln [ 1 + ( ν 1 ) s ] ) P n + m = ν 1 ln [ 1 + ( ν 1 ) s ] Q + H ( S p + G p ) n D q + F q n 1 z n n ! × ( ν 1 ) P ( ln [ 1 + ( ν 1 ) s ] ) P n .
By using the inverse ρ v -transform, the result in (18) follows. □
We now provide some theorems involving the recurrence relations and integral representations of R-matrix functions.
Theorem 3.
Suppose that P , Q , H , S p and D q are in C h × h , where D j + k I 1 < j < q is inevitability for every integer k 0 . Then, the following recurrence relation
R q p S p D q | P , Q + H + I ; z R q p S p D q | P , Q + H + 2 I ; z = z 2 P 2 d 2 d z 2 R q p S p D q | P , Q + H + 3 I ; z + z P P + 2 ( Q + H ) + 2 H × d d z R q p S p D q | P , Q + H + 3 I ; z + ( Q + H ) ( Q + H + 2 I ) × R q p S p D q | P , Q + H + 3 I ; z
holds.
Proof. 
Using the properties Γ ( P + I ) = P Γ ( P ) in (9), we obtain
R q p S p D q | P , Q + H + I ; z = n = 0 Γ 1 ( n P + Q + H + I ) ( S p ) n ( D q ) n 1 z n n ! = n = 0 ( n P + Q + H ) 1 Γ 1 ( n P + Q + H ) ( S p ) n ( D q ) n 1 z n n ! .
Therefore, we have
R q p S p D q | P , Q + H + 2 I ; z = n = 0 ( n P + Q + H ) 1 ( n P + Q + H + I ) 1 Γ 1 ( n P + Q + H ) ( S p ) n ( D q ) n 1 z n n ! = R q p S p D q | P , Q + H + I ; z n = 0 ( n P + Q + H + I ) 1 Γ 1 ( n P + Q + H ) × ( S p ) n ( D q ) n 1 z n n !
and by computing the last term of (23), it follows that
W = n = 0 ( n P + Q + H + I ) 1 Γ 1 ( n P + Q + H ) ( S p ) n ( D q ) n 1 z n n ! = R q p S p D q | P , Q + H + I ; z R q p S p D q | P , Q + H + 2 I ; z .
The sum W can be expressed as
W = n = 0 ( n P + Q + H ) Γ 1 ( n P + Q + H + 3 I ) ( S p ) n ( D q ) n 1 z n n ! + n = 0 ( n P + Q + H ) ( n P + Q + H + I ) Γ 1 ( n P + Q + H + 3 I ) × ( S p ) n ( D q ) n 1 z n n ! = P n = 0 n Γ 1 ( n P + Q + H + 3 I ) ( S p ) n ( D q ) n 1 z n n ! + ( Q + H ) n = 0 Γ 1 ( ( n P + Q + H + 3 I ) ( S p ) n ( D q ) n 1 z n n ! + P 2 n = 0 n 2 Γ 1 ( n P + Q + H + 3 I ) ( C p ) n ( D q ) n 1 z n n ! + U n = 0 n Γ 1 ( n P + Q + H + 3 I ) ( S p ) n ( D q ) n 1 z n n ! + V n = 0 n Γ 1 ( n P + Q + H + 3 I ) ( S p ) n ( D q ) n 1 z n n !
where U = 2 P Q + 2 P H + P , V = ( Q + H ) 2 + ( Q + H ) . Through the evaluation of each R.H.S. term in Equation (25), we obtain
d 2 d z 2 z 2 R q p S p D q | P , Q + H + 3 I ; z = n = 0 ( n + 1 ) ( n + 2 ) Γ 1 ( n P + Q + H + 3 I ) S p n D q n 1 z n n ! = n = 0 n 2 Γ 1 ( n P + Q + H + 3 I ) S p n D q n 1 z n n ! + 3 n = 0 n Γ 1 ( n P + Q + H + 3 I ) S p n D q n 1 z n n ! .
Similarly, we obtain that
d d z z R q p S p D q | P , Q + H + 3 I ; z = n = 0 ( n + 1 ) Γ 1 ( n P + Q + H + 3 I ) S p n D q n 1 z n n !
or
z d d z R q p S p D q | P , Q + H + 3 I ; z = n = 0 n Γ 1 ( ( n P + Q + H + 3 I ) ( S p ) n D q n 1 z n n ! .
Therefore, from (27) and (28), it follows that
n = 0 n 2 Γ 1 ( n P + Q + H + 3 I ) ( S p ) n ( S p ) z n n ! = z 2 d 2 d z 2 R q p S p D q | P , Q + H + 3 I ; z + z d d z R q p S p D q | P , Q + H + 3 I ; z .
Taking Equations (25), (27), and (29), we obtain
W = P 2 z 2 d 2 d z 2 R q p S p D q | P , Q + H + 3 I ; z + z ( P 2 + P + U ) d d z R q p S p D q | P , Q + H + 3 I ; z + ( P + H + V ) R q p S p D q | P , Q + H + 3 I ; z .
By substituting the values of U and V into (30), the recurrence relation (21) holds. □
Theorem 4.
Suppose that P , Q , H , S p and D q are in C h × h , for which D j + k I 1 < j < q are inevitable for all k Z where k 0 ; then,
0 1 t Q + H R q p S p D q | P , Q + H ; t P d t = R q p S p D q | P , Q + H + I ; 1 R q p S p D q | P , Q + H + 2 I ; 1 .
Proof. 
Putting z = 1 in (23) implies
R q p S p D q | P , Q + H + 2 I ; 1 = R q p S p D q | P , Q + H + I ; 1 n = 0 ( n P + Q + H + I ) 1 Γ 1 ( n P + Q + H ) ( S p ) n D q n 1 1 n ! .
One can observe that
z Q + H R q p S p D q | P , Q + H ; z P = n = 0 Γ 1 ( n P + Q + H ) ( S p ) n D q n 1 z n P + Q + H n ! .
By integrating both sides with respect z, it follows that
0 t z Q + H R q p S p D q | P , Q + H ; z P d z = n = 0 0 t Γ 1 ( n P + Q + H ) ( S p ) n ( D q ) n 1 z n P + Q + H n ! d z = n = 0 ( n A + B + H + I ) 1 Γ 1 ( n A + B + H ) ( S p ) n ( D q ) n t n P + Q + H + I n ! .
If putting t = 1 in (31), we find that
0 1 t Q + H R q p S p D q | P , Q + H ; t P d t = n = 0 ( n P + Q + H + I ) 1 Γ 1 ( n P + Q + H ) ( S p ) n ( D q ) n 1 1 n ! .
By using (33) and (35), the representation in (31) yields. □
Remark 2.
For an arbitrary complex number u, if H = u I in (21) and (31), we obtain the result mentioned in [24]. Also, if u , v , h are arbitrary complex numbers, and by using P = u I , Q = v I and H = h I such that S p and D q are scalar in (21) and (31), we obtain the scalar case of the result in [27].

4. Composition Fraction Calculus Operation with R-Matrix Function

In the context of Riemann–Liouville, the derivative and integral of fractional order μ and χ > 0 of an operator such that Re ( μ ) > 0 are provided in the form (see [28,29])
( I a μ f ) ( χ ) = 1 Γ ( μ ) a χ ( χ t ) μ 1 f ( t ) d t .
Moreover,
D a μ f ( χ ) = I a n μ D n f ( χ ) , D = d d χ .
Hilfer [30,31] contributed to generalizing the Riemann–Liouville fractional derivative operator D a + γ by introducing a right-sided fractional derivative operator D a γ , μ of order γ ( 0 , 1 ) and type μ [ 0 , 1 ] , which is called the Hilfer derivative and given by
( D a γ , μ ) ( χ ) = I a μ ( 1 γ ) d d χ ( I a ( 1 μ ) ( 1 γ ) f ) ( χ ) .
Bakhet [29] studied the fractional order integrals and derivatives using the operators (36) and (37) as follows.
Definition 3.
Assume that P is a stable positive matrix with the properties Re ( μ ) > 0 and μ C . The fractional integrals of order μ in the Riemann–Liouville sense are defined as
I μ ( χ P ) = 1 Γ ( μ ) 0 χ ( χ t ) μ 1 t P d t .
Lemma 3.
Assume that Q in C h × h is a positive stable matrix where Re ( μ ) > 0 . Then, the Riemann–Liouville integrals fractional of order μ have the form
I μ ( χ Q I ) = Γ ( Q ) Γ 1 ( Q + μ I ) χ Q + ( μ 1 ) I .
In this section, we establish the composition of the Hilfer fraction derivative operation using matrix R-function and matrix Riemann–Liouville fractional integrals and derivatives as follows.
Theorem 5.
Suppose that the matrices P , Q , S p and D q are positive and stable in C h × h , for which D i D j = D j D i , 1 i , j q and Re ( μ ) > 0 ; then, the fractional integral of the R-matrix function has the form
I μ z Q I R q p S p D q | P , Q ; w z P ( χ ) = χ Q + ( μ 1 ) I R q p S p D q | P , Q ; w χ P .
Proof. 
The left hand side of (41) implies that
I μ z Q I R q p S p D q | P , Q ; w z P ( χ ) = I μ n = v Γ 1 ( n P + Q ) [ ( S p ) n ] [ ( D q ) n ] 1 w n n ! z n P + Q I ( χ )
= n = 0 Γ 1 ( n P + Q ) ( S p ) n D q n 1 w n n ! I μ ( z ) n P + Q I ( χ )
Therefore, by applying Lemma (3), the result follows. □
Theorem 6.
If P , Q , S p , and D q are positive stable matrices in C h × h , such that D i D j = D j D i , 1 i , j q . For Re ( μ ) > 0 , then the fractional differential of the R-matrix function has the form
D μ z Q I R q p S p D q | P , Q ; w z P ( χ ) = χ Q ( μ + 1 ) I R q p S p D q | P , Q μ I ; w χ P .
Proof. 
By using (37) and (41), we find
D μ z Q I R q p S p D q | P , Q ; w z P ( χ ) = d d χ n I n μ z Q I R q p S p D q | P , Q ; w z P ( χ ) = d d χ n χ Q + ( n μ 1 ) I R q p S p D q | P , Q + ( n μ ) I ; w χ P ( χ )
and using Equation (9), the result follows. □
Theorem 7.
If P , Q , S p and D q are positive stable matrices in C h × h , for which D i D j = D j D i , 1 i , j q , then for Re ( μ ) > 0 and γ ( 0 , 1 ) , the Hilfer Fraction derivative operation with matrix R-function is given by
D γ , μ z Q I R q p S p D q | P , Q ; w z P ( χ ) = χ Q ( γ + 1 ) I R q p S p D q | P , Q γ I ; w χ P
Proof. 
Owing to the left hand side of (46), it follows that
D γ , μ z Q I R q p S p D q | P , Q ; w z P ( χ ) = D γ , μ n = 0 Γ 1 ( n P + Q ) ( S p ) n [ ( D q ) n ] 1 × w n z n P + Q I n ! ( χ ) = n = 0 Γ 1 ( n P + Q ) ( S p ) n [ ( D q ) n ] 1 × w n n ! D γ , μ ( z n P + Q I ) ( χ ) = n = 0 Γ 1 ( n P + Q ) ( S p ) n [ ( D q ) n ] 1 I μ ( 1 γ ) d d χ ( I ( 1 μ ) ( 1 γ ) ( z n P + Q I ) ) ( χ ) .
Consequently, by using Lemma 3 and then by differentiation, the proof is completed. □

5. Application on Integral Operators Associated with R-Matrix Functions

In the following, we define the θ ( P , Q ) -integral operator associated with R-matrix functions, and then we explore several applications employing the obtained operator.
Definition 4.
If P , Q , S p and D q are positive stable matrices in C h × h , for which D i D j = D j D i , 1 i , j q . Then, we define the θ ( P , Q ) -integral operator as follows:
θ ( P , Q ) f ( χ ) = 0 χ ( χ z ) Q I R q p S p D q | P , Q ; w ( χ z ) P f ( z ) d z .
where χ > 0 .
Before we begin to conclude the results of the current section, we deduce the following result.
Lemma 4.
If P , Q , H , S p and D q are positive stable matrices in C h × h , for which D i D j = D j D i , 1 i , j q , then
θ ( P , Q ) z H ( χ ) = Γ ( H ) χ Q + H I × R q p S p D q | P , Q + H ; w χ P .
Proof. 
From definition (48) and Equation (9), we have
θ ( P , Q ) z H I ( χ ) = 0 χ [ n = 0 Γ 1 ( n P + Q ) ( S p ) n ( D q ) n 1 × w n ( χ z ) n a + B I n ! ] z H I d z = n = 0 Γ 1 ( n P + Q ) ( S p ) n D q n 1 w n n ! × 0 χ ( χ z ) n P + Q I z H I d z .
By replacing z by χ z and simplifying the Equation (50), we obtain
θ ( P , Q ) z H I ( χ ) = n = 0 Γ 1 ( n P + Q ) S p n D q n 1 w n n ! × χ n P + Q + H I B ( n P + Q , H ) .
Further simplification yields (48). □
We now establish the theorem the composition of the Riemann–Liouville fraction integral operator I μ with θ -integral operator as
Theorem 8.
If P , Q , H , S p and D q are positive stable matrices in C h × h , for which D i D j = D j D i , 1 i , j q , then, for Re ( μ ) > 0 , the relation of the Riemann–Liouville fraction integral operator I μ with the θ-integral operator can be given as
I μ θ ( P , Q ) f = θ ( P , Q + μ I ) f = θ ( P , Q ) I μ ( f ) .
Proof. 
Using (9) and (48), we obtain
I μ ( θ ( P , Q ) f ) ( χ ) = 1 Γ ( μ ) 0 χ ( χ u ) μ 1 d u 0 u ( u z ) Q I × R q p S p D q | P , Q ; w ( u z ) P f ( z ) d z = 0 χ 1 Γ ( μ ) [ z χ ( χ u ) μ 1 ( u z ) Q I × R q p S p D q | P , Q ; w ( u z ) P d u ] f ( z ) d z = 0 χ [ 1 Γ ( μ ) 0 χ z ( χ z s ) μ 1 s Q I R q p S p D q | P , Q ; w s Q d s ] f ( z ) d z .
= 0 χ I μ s Q I R q p S p D q | P , Q ; w s P d r ( χ z ) f ( z ) d z .
By applying (41), we find that
I μ ( θ ( P , Q ) f ) ( χ ) = 0 χ ( χ z ) O + ( μ 1 ) I × R q p S p D q | P , Q + μ I ; w ( x z ) P f ( z ) d z = ( θ ( P , Q + μ I ) f ) ( χ ) .
It completes the first relation’s proof (52), and can also demonstrate the second relation. □
Theorem 9.
If P , Q , H , S p and D q are positive stable matrices in C h × h , such that D i D j = D j D i , 1 i , j q , then, for Re ( μ ) > 0 , and for any continuous function f c [ a , b ] , the relation of fraction differential operator D μ with θ-integral operator is given as
D μ θ ( P , Q ) f = θ ( P , Q μ I ) f .
For the case when k N , we have
d d χ k ( θ ( P , Q ) f ) = θ ( P , Q k I ) f .
Proof. 
By using (37), (48), (52), and replacing μ by n μ , it follows that
D μ ( θ ( P , Q ) f ) ( χ ) = d d χ n D n μ θ ( P , Q ) f ( χ ) = d d χ n θ ( P , Q + ( n μ ) I ) f ( χ ) = d d χ n 0 χ ( χ z ) Q + ( n μ 1 ) I R q p S p D q | P , Q + ( n μ ) I ; w ( χ z ) P f ( z ) d z ,
As the integrand in (58) is continuous function [ a , b ] , and by applying the derivative
d d χ 0 χ f ( χ , z ) d z = 0 χ χ f ( χ , z ) d z + f ( χ , χ ) ,
it follows that
D μ θ ( P , Q ) f ( χ ) = d d χ n 1 0 χ χ [ ( χ z ) Q + ( n μ 1 ) I × R q p S p D q | P , Q + ( n μ ) I ; w ( χ z ) P ] f ( z ) d z + lim z χ [ ( χ z ) Q + ( n μ 1 ) I × R q p S p D q | P , Q + ( n μ ) I ; w ( χ z ) P ] f ( z ) d z = d d χ n 1 0 χ [ ( χ z ) Q + ( n μ 2 ) I × R q p S p D q | P , Q + ( n μ 1 ) I ; w ( χ z ) P ] f ( z ) d z .
By differentiating (9) by and (60), the result follows. □
Next, we obtain the compositions of the Hilfer derivative operator D γ , μ with the θ -integral operator asserted by the following result.
Theorem 10.
Suppose that P , Q , H , S p and D q be positive stable matrices in C h × h , such that D i D j = D j D i , 1 i , j q . Then, for Re ( μ ) > 0 and γ ( 0 , 1 ) , we find the relation of Hilfer Fraction derivative operation D γ , μ with θ-integral operator
D γ , μ θ ( P , Q ) f = θ ( P , Q γ I ) f
holds true for any Lebesgue measurable function f L ( a , b ) .
Proof. 
We shall make use of the composition relation asserted by Theorem 9, and we find that
D γ + μ γ μ θ ( P , Q ) f = θ ( P , Q ( γ + μ + γ μ ) ) I f .
From the Hilfer derivative operator (38), we have
D γ , μ θ ( P , Q ) f = I μ ( 1 γ ) D γ + μ γ μ θ ( P , Q ) f = I μ ( 1 γ ) θ ( P , Q ( γ γ μ ) I f = θ ( P , Q γ I ) f ,
which completes the proof. □
Theorem 11.
Let P , Q , H , S p , D q , G p and F q be positive stable matrices in C h × h , such that D j + k I , G j + k I and 1 < j < q is inevitable for all integers k 0 . Then, the following result:
θ ( P , Q ) f + θ ( P , H ) f = θ ( P , Q + H ) f
is valid for any summable function f L ( a , b ) . In particular,
θ ( P , Q ) + θ ( P , Q ) S p f = I Q + H .
Proof. 
By using (48) and applying the Dirichlet formula, we obtain
θ ( P , Q ) + θ ( P , H ) f ( χ ) = 0 χ ( χ u ) Q I R q p S p D q | P , Q ; w ( χ u ) P d u × 0 u ( u z ) H I R q p G p F q | P , H ; w ( u z ) P f ( z ) d z = 0 χ [ 0 χ r ( χ z s ) Q I R q p S p D q | P , Q ; w ( χ z s ) P × s H I R q p G p F q | P , H ; w s P d s ] f ( r ) d r = 0 χ ( χ z ) ( Q + H I ) R q p S p + G p D q + F q | P , Q + H ; w ( χ z ) P f ( z ) d z ,
which yields Equation (64). □
Remark 3.
If u , v and h are arbitrary complex numbers and by using P = u I , Q = v I , and H = h I , such that S p and D q are scalar in Theorem 8–11, we obtain the scalar case of the result in [27].

6. Conclusions and Future Work

In the present paper, we apply the fractional calculus approach employing Hilfer fractional derivative operator to establish the R-matrix functions. In this study, we have systematically explored the fractional integral properties of R-matrix functions using the Hilfer fractional derivative operator. By introducing the θ -integral operator and extending its framework to include R-matrix functions, we have provided a new perspective on fractional calculus and its applications. Notably, the composition of Riemann–Liouville fractional integral and differential operators was determined via the θ -integral operator, offering a robust mathematical foundation for analyzing complex fractional systems. Additionally, the inversion and compositional properties of the θ -integral operator have been established, deepening our understanding of their structural and functional characteristics. These findings not only enhance the theoretical framework of fractional calculus, but also highlight the utility of R-matrix functions in solving intricate mathematical problems. The insights gained through this research are expected to have broad applications in areas such as quantum mechanics, numerical analysis, and systems governed by fractional dynamics.
The presented work paves the way for potential explorations as follow:
  • Numerical applications: developing numerical methods and algorithms based on the θ -integral operator to solve fractional differential equations arising in physics and engineering.
  • Kinetic equations: extending the methodology to address kinetic equations and other statistical models, particularly in systems with memory effects or nonlocal interactions.
  • Quantum mechanics: investigating the application of R-matrix functions in fractional quantum mechanics, including the modeling of wave functions and quantum transport phenomena.
  • Generalization: generalizing the θ -integral operator to multidimensional spaces and studying its impact on higher-order fractional systems.

Author Contributions

Methodology, M.Z. and A.B.; Formal analysis, M.Z. and A.B.; Investigation, M.Z. and A.B.; Writing—original draft, M.Z. and A.B.; Writing—review and editing, M.Z. and A.B. All authors have read and agreed to the published version of the manuscript.

Funding

This work is funded by Deanship of Research and Graduate Studies at King Khalid University through Small Group Research Project under grant number RGP1/116/45.

Data Availability Statement

The manuscript has no associated data.

Acknowledgments

The authors extend their appreciation to the Deanship of Research and Graduate Studies at King Khalid University for funding this work through Small Group Research Project under grant number RGP1/116/45.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. Description of this paper (theoretical and applications).
Figure 1. Description of this paper (theoretical and applications).
Fractalfract 09 00082 g001
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Zayed, M.; Bakhet, A. Some Results of R-Matrix Functions and Their Fractional Calculus. Fractal Fract. 2025, 9, 82. https://doi.org/10.3390/fractalfract9020082

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Zayed M, Bakhet A. Some Results of R-Matrix Functions and Their Fractional Calculus. Fractal and Fractional. 2025; 9(2):82. https://doi.org/10.3390/fractalfract9020082

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Zayed, Mohra, and Ahmed Bakhet. 2025. "Some Results of R-Matrix Functions and Their Fractional Calculus" Fractal and Fractional 9, no. 2: 82. https://doi.org/10.3390/fractalfract9020082

APA Style

Zayed, M., & Bakhet, A. (2025). Some Results of R-Matrix Functions and Their Fractional Calculus. Fractal and Fractional, 9(2), 82. https://doi.org/10.3390/fractalfract9020082

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