1. Introduction and Preliminaries
The exploration of generalized and multivariable special functions has seen significant advancements in recent years, greatly enhancing our ability to address complex physical problems. These functions, which extend beyond traditional special functions, offer powerful tools for solving intricate partial differential equations (PDEs). Their multivariable nature allows for the simultaneous consideration of multiple interacting variables, which is essential in modelling realistic physical systems. This progress has enabled researchers to develop more accurate and comprehensive solutions to PDEs that arise in diverse fields such as quantum mechanics, fluid dynamics, and electromagnetic theory. By employing these advanced functions, scientists can now tackle problems involving intricate boundary conditions and non-linear interactions with greater precision. Consequently, the improved mathematical framework not only aids in theoretical developments but also in practical applications, leading to innovations in technology and engineering. Thus, the advancements in generalized and multivariable special functions mark a crucial step forward in the mathematical modelling of complex physical phenomena. Recent studies have focused on investigating special polynomials of two variables that have been incredibly useful in solving complex challenges. One notable class of polynomial sequences is Laguerre polynomials, which are integral in the fields of physics and mathematics due to their orthogonality properties. These polynomials were first introduced by the French mathematician Edmond Laguerre in the 19th century, and since then, numerous authors have made significant contributions to their study. For more information, key references include [
1,
2,
3,
4,
5,
6,
7,
8].
Laguerre polynomials are widely utilized in mathematics, physics, and engineering to solve the Schrodinger equation for the hydrogen atom and other quantum systems exhibiting spherical symmetry. Their applications extend to various areas such as quantum mechanics, spectroscopy, and atomic physics, where these polynomials play a crucial role in describing the behaviour of electrons in complex atomic structures. Additionally, they find applications in fields such as signal processing and probability theory due to their unique properties and mathematical significance. Furthermore, issues involving diffusion equations, wave propagation, and heat conduction give rise to these polynomials.
The significance of two-variable special polynomials is profound, as they offer a versatile and robust framework for addressing problems across various mathematical and scientific domains. These polynomials, characterized by their ability to handle functions involving two variables simultaneously, provide powerful tools for expressing and analyzing complex multivariate relationships.
In mathematics, two-variable special polynomials facilitate the study of multivariate calculus, algebraic geometry, and optimization problems. Their rich structure and properties enable mathematicians to derive explicit solutions to intricate equations, perform precise approximations, and develop new theoretical insights. For example, in approximation theory, these polynomials can approximate bivariate functions with high accuracy, aiding in numerical analysis and computational methods.
In scientific applications, particularly in physics and engineering, two-variable special polynomials are indispensable. They are employed in solving partial differential equations (PDEs) that describe a wide range of phenomena, from heat conduction and wave propagation to fluid dynamics and quantum mechanics. Their specific properties, such as orthogonality and recurrence relations, make them highly suitable for constructing solutions to these PDEs, allowing for the more accurate modelling of physical systems. Additionally, in fields like statistics and data science, these polynomials are used in multivariate statistical analysis and the modelling of complex datasets. They enable the extraction of meaningful patterns and relationships from data involving multiple variables, thus contributing to more informed decision-making and predictions.
Therefore, the utility of two-variable special polynomials in expressing and analyzing multivariate functions, coupled with their application-specific properties, underscores their significance in advancing both theoretical research and practical problem-solving in various domains.
The two-variable Laguerre polynomials (
) [
9,
10] are defined by the generating function:
where
is the 0
th Bessel–Tricomi function [
11], operationally defined as
The Bessel–Tricomi function
is expressed through the series expansion:
with
being the cylindrical Bessel function of the first kind [
11].
The 2VLP
can also be defined by the series
These polynomials are of intrinsic mathematical interest and have significant applications in physics, particularly as natural solutions to specific partial differential equations. One such equation is
which resembles a Fokker–Planck-type heat diffusion equation and is used to study the beam lifetime due to quantum fluctuations in storage rings [
12].
Furthermore, the 2VLP
are quasi-monomial with respect to the following multiplicative and derivative operators:
Mathematicians have recently demonstrated great interest in introducing different versions of special polynomials and hybrid special polynomials; see, for instance, [
13,
14,
15,
16,
17]. Further, in [
18,
19], authors introduced a new variant/version of the special polynomials, called
special polynomials of different polynomials, by employing the classical finite difference operator
. These
special polynomials have drawn attention due to their amazing applicability in statistics and physics, in addition to several disciplines of mathematics. A recent attempt to introduce
polynomial sequences, namely
Appell polynomials, and to study their many features was undertaken by Costabile and Longo [
18]. The mathematical representation of the
-Appell polynomial is as follows:
and defined by
where
being the F.D.O:
Further, the
-Appell polynomials
are defined through the generating relation [
18]:
where
Moreover, in [
18],
Appell sequences
are defined by
in the power series of the product of two functions:
where
The Appell sequences represent a specialized class of Appell sequences that emerge from the application of the difference operator to a pre-existing Appell sequence. This process involves applying the operator , defined as , to generate new sequences with distinct properties. Within this framework, the parameter q within the Appell sequence assumes specific values, which simplifies the resulting Appell sequences into well-established sequences and polynomials. This simplification is significant as it provides a deeper understanding of the behaviour and characteristics of these sequences, revealing their connections to more familiar mathematical constructs. For example, when q takes on certain values, the Appell sequences can be reduced to classical polynomial sequences such as Bernoulli polynomials, Euler polynomials, or Hermite polynomials. These reductions highlight the versatility and broad applicability of the Appell sequences in various mathematical contexts.
Connecting to well-known sequences allows mathematicians to leverage existing knowledge and techniques to study the Appell sequences. For instance, understanding their orthogonality properties, generating functions, and recurrence relations becomes more accessible through these connections. Additionally, these insights can lead to the discovery of new identities and relationships within the realm of special functions and polynomial sequences.
In applied mathematics and physics, Appell sequences can be instrumental in solving difference equations, modelling discrete systems, and analyzing numerical methods. Their structured properties enable the precise formulation and solution of problems involving discrete changes, which are common in computational algorithms and discrete dynamical systems.
Overall, the study of Appell sequences enriches the theory of special functions and polynomial sequences and enhances our ability to address practical problems in various scientific and engineering disciplines. The parameter q’s role in simplifying these sequences into well-known forms underscores the inter-connectedness of mathematical concepts and the value of exploring these specialized classes. For instance:
When the variable
u is a non-negative integer, the generalized falling factorials, denoted as
, are obtained as a special case of the
Appell sequence, which is described in the reference [
20].
When the value of
u is equal to 1, the Bernoulli sequence of the second kind, denoted as
, can be derived as a special case of the
Appell sequence, as referenced in [
20].
When the parameter
u is equal to the constant
, where
is a constant, the Poisson–Charlier sequence
, as referenced in [
20] (p. 2), is derived as a special case of the
Appell sequence.
When the values are and , the Boole sequence can be derived as a special case of the Appell sequence.
In various practical applications, it is often necessary to utilize well-known sequences and polynomials; these special cases can be quite beneficial. The Appell sequences offer a structured method for obtaining these sequences and polynomials.
Motivated by Costabile [
18], here we introduced the two-variable
Laguerre polynomials:
through the generating function concept.
The significance of two-variable Laguerre special polynomials lies in their ability to extend the classical Laguerre polynomials to multivariate and discrete settings, providing a powerful tool for solving complex mathematical and physical problems. Here are several key aspects of their importance: The two-variable Laguerre polynomials generalize the classical Laguerre polynomials, which are widely used in single-variable contexts, particularly in solving differential equations related to quantum mechanics and other physical systems. Extending these polynomials to two variables facilitates the analysis of systems involving two interacting components or dimensions. The operator introduces a discrete component to the Laguerre polynomials, making them suitable for problems involving discrete changes or steps. This is particularly useful in numerical analysis and discrete dynamical systems, where the behaviour of a system is studied at discrete points in time or space. These polynomials maintain connections to classical Laguerre polynomials, allowing well-established mathematical techniques and theories to be used. This connection helps in deriving new properties, and in generating functions, and identities that enrich the broader theory of special functions and polynomial sequences. The two-variable Laguerre special polynomials provide a powerful and versatile mathematical and physical problem-solving tool. Their ability to handle two variables and discrete changes makes them invaluable in a wide range of applications, from solving PDEs and discrete dynamical systems to modelling complex interactions in physics and engineering. Extending the classical Laguerre polynomials opens new avenues for research and practical applications, highlighting the deep interconnections within mathematical theory.
The rest of thearticle is presented as follows:
Section 2 delves into the generation of Laguerre polynomials and examines the recurrence relations that characterize their behavior. In
Section 3, formulas for summing or evaluating these polynomials over specific ranges or under particular conditions are provided, offering efficient methods for calculating their values.
Section 4 introduces the monomiality principle, which describes the behavior of Laguerre polynomials under certain operations, and also establishes their determinant form.
Section 5 derives symmetric identities for these polynomials. finally, the concluding remarks are provided, which highlights the article’s key findings, explores their implications and applications, and proposes possible directions for future research on Laguerre polynomials.
2. Two-Variable Laguerre Polynomials
This section plays a pivotal role in introducing a novel class of two-variable Laguerre polynomials and establishing their core properties. The research significantly contributes to the existing literature, broadening our understanding and opening new avenues for exploration within polynomial theory and its diverse applications.
The creation of the generating function for Laguerre polynomials, denoted by , marks a crucial advancement in grasping the intricate characteristics and attributes of these polynomials. Generating functions are indispensable tools in fields such as combinatorics, analysis, and mathematical physics, as they offer profound insights into the underlying structure and behavior of sequences and functions.
Moreover, this study deepens the mathematical community’s comprehension of polynomial families and their practical uses by linking Laguerre polynomials to their generating functions. The properties discussed in this section illuminate the distinctive traits and behaviors of these polynomials, facilitating their application in a wide range of mathematical and scientific contexts. This section represents a significant leap forward in the field of polynomial theory, providing new perspectives and potential applications that warrant further investigation.
To construct the generating function for the Laguerre polynomials , we begin by proving the following result:
Theorem 1. For the 2V Laguerre polynomials , the following generating relation holds:or equivalently, Proof. The set of polynomials , represented in Equation (15) as the coefficients of , serve as the generating function for the two-variable Laguerre polynomials . This is achieved by expanding at using a Newton series for finite differences, and by considering the order of the product in the development of the function with regard to the powers of .
□
Theorem 2. For the 2V Laguerre polynomials , the succeeding relations hold true: Proof. By differentiating (15) with regard to
v by taking into consideration expression (
9), we find
By substituting the right hand side of expression (15) into (
18), we find
Assertion (17) is derived by substituting
into the right hand side of the earlier expression (
18) and contrasting the coefficients of the same exponents of
in the resulting equation. □
Next, we deduce the explicit form satisfied by these two-variable Laguerre polynomials by demonstrating the result.
Theorem 3. For the two-variable Laguerre polynomials , the succeeding relations hold true: Proof. Expanding generates relation (15) in the given manner:
which can further be written as
By replacing
in the right hand side of the previous expression, it follows that
In the right hand side of the previous statement (
23), we multiply and divide by
to obtain the value of assertion (
20). We then compare the coefficients of the same exponents of
on both sides. □
4. Monomiality Principle
The monomiality principle stands as a foundational concept in polynomial theory, offering a fundamental framework for understanding and manipulating polynomial expressions. This principle asserts that any polynomial can be uniquely expressed as a linear combination of monomials, which are simple algebraic terms consisting of a single variable raised to a non-negative integer power. This representation simplifies the structure of polynomials and facilitates their analysis and manipulation in various mathematical contexts. By breaking down complex polynomial expressions into their constituent monomials, mathematicians can derive key properties, such as degree, leading coefficient, and roots, enabling deeper insights into polynomial behaviour and paving the way for the development of advanced mathematical techniques and algorithms.
Beyond its theoretical significance, the monomiality principle plays a pivotal role in practical applications across diverse scientific and engineering fields. In computational mathematics, for instance, algorithms for polynomial interpolation, approximation, and numerical integration often rely on the monomial basis for their efficiency and accuracy. Similarly, in areas such as signal processing, control theory, and image analysis, polynomials serve as essential mathematical tools for modelling complex systems and phenomena, with the monomiality principle providing a concise and intuitive representation framework. Furthermore, the versatility of monomial-based polynomial representations extends to disciplines like physics, where polynomials are utilized to describe physical laws and phenomena. With the concept of poweroids, Steffenson originally proposed monomiality in 1941 [
21]; Dattoli subsequently expanded on this idea [
22,
23]. The
and
operators are multiplicative and derivative operators that are crucial in this context for a polynomial set
. The following expressions are satisfied by these operators:
and
Thus, when multiplicative and derivative operations are applied to the polynomial set
, the result is a quasi-monomial domain. Adhering to the following formula is crucial for this quasi-monomial:
It consequently displays a Weyl group structure.
Assuming that the set is quasi-monomial, the significance and application of the operators and may be utilized to derive the significance of the underlined set. Therefore, the following axioms are true:
- (i)
gives a differential equation
provided that
and
exhibit differential traits.
- (ii)
The expression
gives the explicit form, with
.
- (iii)
Further, the expression
demonstrates the generation of expression behaviour and is obtained by applying identity (
50).
These techniques, rooted in mathematical physics, quantum mechanics, and classical optics, remain relevant in contemporary research. They are reliable tools for probing intricate phenomena in these domains and play a pivotal role in advancing our understanding of complex systems. In light of the paramount importance of these methodologies, we embarked on the validation of the notion of monomiality specifically for the Laguerre polynomials. These polynomials, denoted as , represent a crucial mathematical framework within which various phenomena can be analyzed and understood. By validating the concept of monomiality within this context, we aim to elucidate fundamental properties underpinning these polynomials’ behaviour and their applications.
Within this section, we present the outcomes of our validation efforts. These outcomes serve to reinforce the integrity and utility of the Laguerre polynomials as essential mathematical constructs. Through rigorous analysis and validation, we affirm the validity and significance of the concept of monomiality, thereby enhancing our confidence in the robustness of these mathematical tools for theoretical and practical investigations.
Theorem 12. The Laguerre polynomials satisfy the succeeding multiplicative and derivative operators:and Proof. In consideration of expression (
9), taking derivatives with regard to
v of expression (15), we have
thus, we have
which gives the identity
Now, differentiating expression (15) with regard to
, we have
By utilizing identity (
56) and substituting
into the right-hand side of the previous expression (
58), we establish the assertion (
52).
Moreover, based on identity (
56), we have
which provides a formula for the derivative operator in (
53). □
We now proceed to derive the differential equation for the Laguerre polynomials by proving the following result:
Theorem 13. The Laguerre polynomials satisfy the differential equation: Proof. By inserting expressions (
52) and (
53) into expression (
49), the assertion (
60) is proved. □