1. Introduction
The aim of this paper is to study the fundamental properties of fractional eigenvalue problems developed by the construction of the Sturm–Liouville operator (SLO) with left and right fractional derivatives. In classical differential equations theory, this is a linear differential operator of the second order and yields an eigenvalue problem of the form (here,
in the case when we consider the problem on a finite interval):
with boundary conditions appearing as follows:
Let us point out that, depending on the choice of coefficient functions and boundary conditions, such problems provide various systems of orthogonal eigenfunctions, orthogonal polynomials and families of special functions. Orthogonal systems of the solutions of classical Sturm–Liouville problems are widely applied in the analysis and solving of fundamental differential equations of mathematics, physics, mechanics , and economics.
In most of the FSLPs presented at the beginning of fractional Sturm–Liouville theory, first-order derivatives in a standard Sturm–Liouville problem were replaced with fractional order derivatives. The resulting equations were solved using some numerical schemes [
1,
2,
3,
4]. However, in these works, the essential properties, such as the orthogonality of the eigenfunctions of the fractional operator, were not investigated. In addition, the question of whether the associated eigenvalues are real or not is not addressed. Some results concerning these properties have been obtained in papers [
5,
6], where the discussed equations contain a classical SLO extended by including a sum of the left and the right derivatives. Then, in paper [
7], we proposed the construction of a fractional Sturm–Liouville operator which preserves the orthogonality of the eigenfunctions corresponding to distinct eigenvalues and provides real eigenvalues. The FSLO contains both the left and right derivatives and is a symmetric operator on function space restricted by fractional boundary conditions which generalize conditions (
1).
A fractional version of Bessel SLO has been developed and applied to anomalous diffusion in [
8], where the space-fractional differential operator has a form analogous to the FSLO proposed in a general form in [
7]. Some special cases of singular fractional Sturm–Liouville problems were also studied in [
9,
10], where exact solutions and eigenvalues were calculated.
In our earlier works [
7,
11,
12,
13,
14], we focused on the construction of a fractional version of operator
, which includes standard fractional derivatives. The characteristic feature of the proposed approach is the mixture of the left and right fractional derivatives in the fractional Sturm–Liouville operator (FSLO). This construction provides eigenvalue problems with orthogonal eigenfunctions and discrete spectra under the appropriate homogeneous boundary conditions.
In recent years, fractional eigenvalue problems have also been discussed within the framework of tempered and conformable fractional calculus. In the papers [
15,
16], a fractional Sturm–Liouville operator is built by using the left and right tempered derivatives. Next, in [
17,
18], an FSLO is constructed as a composition of conformable fractional derivatives. In addition, in paper [
19], the authors show how to build an FSLO with composite fractional derivatives.
Here, we add the generalization of fractional eigenvalue problems to problems with operators, including Prabhakar derivatives. The regular fractional and fractional Prabhakar Sturm–Liouville operators considered here include the left and the right derivatives, and the derived equations are in fact of a variational nature; i.e., they are Euler–Lagrange equations for respective actions (compare [
11,
20] and the references therein for FSLE). The properties of the spectra and eigenfunctions’ systems of FSLP can be studied by applying the variational method [
12,
21]. Here, we shall develop the transformation method for FSLP and PSLP with Dirichlet boundary conditions, which means that we rewrite the FSLP/PSLP as the equivalent integral eigenvalue problem.
The paper is organized as follows. In the next section, we present the necessary definitions and properties of fractional and fractional Prabhakar operators, as well as the formulation of a regular fractional Sturm–Liouville problem with its generalization to the Prabhakar Sturm–Liouville problem. In
Section 3, we define the problems with homogeneous Dirichlet boundary conditions and derive equivalence results for both types of fractional eigenvalue problems. It appears that by applying composition rules for derivatives and integrals, they can be converted into the equivalent integral ones. Spectral properties of integral versions of fractional and fractional Prabhakar Sturm–Liouville operators are discussed in
Section 4. We shall prove that these operators are Hilbert–Schmidt integral operators, which are compact and self-adjoint on the
space. Applying the spectral Hilbert–Schmidt theorem, we derive results on discrete spectra both for fractional and fractional Prabhakar Sturm–Liouville operators. The equivalence of differential and integral versions of eigenvalue problems leads to the corresponding spectral results for differential operators.
The paper closes with a brief discussion of results and future investigations. The
Appendix A contains two parts. First, we present results on Hölder continuity of kernels defining integral Sturm–Liouville operators. Then, we prove a useful theorem on the convergence of convolutions’ series in a general case, which is applied in the construction of integral Sturm–Liouville operators.
2. Preliminaries
We start with a summary of definitions and properties of fractional integrals and derivatives which shall be applied in the construction of fractional and fractional Prabhakar eigenvalue problems. First, we recall the left and right Riemann–Liouville fractional derivatives of order
[
22,
23]:
where the operators
and
are respectively the left and the right fractional Riemann–Liouville integrals of order
defined by the following formulas
Next, we have Caputo fractional derivatives:
and we note that when
, both types of derivatives coincide, i.e.,
We also recall some of the composition rules of fractional operators for the case of order
; namely, for the left-sided Caputo derivative and left-sided fractional integral, we have
while for the right-sided Riemann–Liouville derivatives, the following relations are valid
All of the above rules are fulfilled for all points
when function
y is a continuous one. Let us note that for the continuous function fulfilling condition
, rules (
6) and (
8) look as follows:
The fractional operators, described above, are generalized to Prabhakar integrals and derivatives. They are defined using a three-parameter Mittag–Leffler function [
22,
24]:
and Prabhakar function [
24,
25]:
both defined on the complex space when
and
.
These functions lead to the left and right Prabhakar derivatives [
24]:
where operators
and
are respectively the left and the right fractional Prabhakar integrals:
Similar to Caputo derivatives, given in (
5), we have Caputo-type Prabhakar derivatives defined as follows
coinciding with Prabhakar derivatives (
13) when
or
, respectively. Restricting function space to continuous functions fulfilling condition
, we arrive at composition rules of Prabhakar operators analogous to (
7), (
9), and (
10):
Now, we shall quote the general formulation of the fractional eigenvalue problem, introduced and investigated in papers [
7,
11,
12,
13,
14,
21].
Definition 1 (compare Definition 5 in [
7]).
Let . With the notationconsider the fractional Sturm–Liouville equation (FSLE)where , functions are real-valued continuous functions in and boundary conditions are:with and The problem of finding number λ (eigenvalue) such that the BVP has a non-trivial solution, (eigenfunction) will be called the regular fractional Sturm–Liouville eigenvalue problem (FSLP). We include Prabhakar derivatives into the construction of FSLO and formulate below the Prabhakar Sturm–Liouville problem.
Definition 2. Let . With the notationconsider the fractional Prabhakar Sturm–Liouville equation (PSLE)where , functions are real-valued continuous functions in and boundary conditions are:with and The problem of finding number λ (eigenvalue) such that the BVP has a non-trivial solution, (eigenfunction) will be called the regular fractional Prabhakar Sturm–Liouville eigenvalue problem (PSLP). 3. Formulation of the Problem and Methods
In this section, we shall focus on fractional eigenvalue problems subjected to the homogeneous Dirichlet boundary conditions. We choose values in Definitions 1 and 2 and formulate the corresponding definitions of FSLP and PSLP. First, we have the fractional Sturm–Liouville problem with Dirichlet boundary conditions.
Definition 3. Let . With the notationconsider the fractional Sturm–Liouville Equation (23), where , functions are real-valued continuous functions in and the boundary conditions are: The problem of finding number λ (eigenvalue) such that the BVP has a non-trivial solution, (eigenfunction) will be called the regular fractional Sturm–Liouville eigenvalue problem (FSLP) with homogeneous Dirichlet boundary conditions.
Next, we formulate the definition of the Prabhakar Sturm–Liouville problem with Dirichlet boundary conditions.
Definition 4. Let . With the notationconsider the fractional Prabhakar Sturm–Liouville Equation (27), where , , functions are real-valued continuous functions in and the boundary conditions are: The problem of finding number λ (eigenvalue) such that the BVP has a non-trivial solution, (eigenfunction) is the regular fractional Prabhakar Sturm–Liouville eigenvalue problem (PSLP) with homogeneous Dirichlet boundary conditions.
We shall study the spectral properties of the eigenvalue problems described in the above definitions. Let us point out that an FSLP with a Dirichlet boundary condition spectrum was investigated in papers [
12,
21] using variational methods. Here, we extend the study to the Prabhakar Sturm–Liouville problem and develop the results by transforming both differential fractional problems into the respective equivalent integral ones. Then, we analyse properties of the integral versions of fractional Sturm–Liouville operators (
22) and (
26) and apply the Hilbert–Schmidt spectral theorem to prove that their spectrum is purely discrete. Equivalence of the respective differential and integral fractional eigenvalue problems yields the theorems on spectra of the differential fractional and fractional Prabhakar eigenvalue problems given by Definitions 3 and 4. We begin our considerations with the case when
.
3.1. Equivalence Results for Differential and Integral FSLP, PSLP: Case
Here, we shall prove equivalence results for the FSLP/PSLP with an equation containing the fractional differential operators (
22) and (
26) and investigate the properties of the integral eigenvalue problem connected to the FSLE/PSLE in the case of order
fulfilling condition
and solutions’ space restricted by the homogeneous Dirichlet boundary conditions.
In the first part, we transformed the differential fractional Sturm–Liouville problem (Definition 3) into the integral one on the subspace of the continuous functions defined below:
Let us note that the composition rules of fractional operators (
7) and (
9) allow us a to write a fractional Sturm–Liouville Equation (
23) on the
space in the case of
as follows:
which leads to the integral equation
Constants
and
are determined by the homogeneous Dirichlet boundary conditions
The above calculations lead to the integral form of FSLE (
23) with
where linear integral operator
is built using the left and right Riemann–Liouville integrals and acts as follows:
Similar considerations yield the integral form of PSLE (
27) when
where linear integral operator
is constructed using the left and right Prabhakar integrals and acts as follows
We note that the above integral operators (
35) and (
37) can be rewritten as operators indexed by the arbitrary continuous function
r (here,
) and determined by the corresponding kernels—
for FSLP and
for PSLP:
where kernels are of the form:
It is easy to check the following properties of kernels. First, they are symmetric functions on square
and, in addition, we have
In our results developed in this paper, we apply two types of assumptions.
Hypothesis 1 (H1). , and function be positive on or negative.
Hypothesis 2 (H2). , and function be positive on or negative. In addition, let the real parameters fulfil the conditions: Proposition 1. If (H1) is fulfilled and function , then its image for any function and operator defined by kernel (39). If (H2) is fulfilled and function , then its image for any function and operator defined by kernel (40). Proof We sketch here the proof of the first part of the discussed proposition and omit the proof of the second one as it is analogous. By Corollary A1, kernel
fulfills the Hölder condition; therefore, we find
and we infer that image
is a continuous function and is even uniformly continuous on interval
.
We check that it obeys the homogeneous Dirichlet boundary conditions as well, because kernel
fulfils the conditions (
44):
□
For functions belonging to the space, we can prove the equivalence of the differential and integral form of the FSLP and PSLP, respectively. That is, the following two propositions are valid when . The first one concerns differential and integral fractional Sturm–Liouville problems.
Proposition 2. If (H1) is fulfilled and , then the following equivalence is valid on the spacewhere operator is defined in (22) and operator contains kernel (39). Proof Assuming that
is an eigenfunction corresponding to eigenvalue
:
we act with the
operator on both sides of this equation:
and by applying composition rules (
10), we obtain the integral eigenvalue equation
Next, we assume that function
is an eigenfunction of the integral FSLP, i.e., Equation (
47) is fulfilled. According to Proposition 1, eigenfunction
y is a continuous one and belongs to the
space. Then, we calculate composition
using the composition rules (
7) and (
9)
and by applying Equation (
47), we arrive at the implication
Therefore, we conclude that on the space, the equivalence of the differential and integral FSLP is valid. □
Below, we formulate the extended version of Proposition 2, where we describe the appropriate equivalence for Prabhakar Sturm–Liouville operators. Its proof is analogous to that presented above.
Proposition 3. If (H2) is fulfilled and , then the following equivalenceis valid on the space, where the operator is defined in (26) and the operator contains kernel (40). Equivalence of the integral and differential fractional and fractional Prabhakar eigenvalue problems is an important step in deriving results on the spectrum for the problems described in Definitions 3 and 4. In the next section, we shall extend the equivalence results to the case where .
3.2. Equivalence Results for Differential and Integral FSLP, PSLP: General Case
We begin our discussion with the fractional Sturm–Liouville problem. We write Equation (
23) in the following form
and apply composition rules for fractional operators (
7) and (
9)
The fractional differential Sturm–Liouville Equation (
23) now takes the form of integral equation
where constants are determined by the homogeneous Dirichlet boundary conditions; namely,
are given by (
33) and for
, we have
To conclude, Equation (
23) is now an integral equation
where the
operator is given in (
35) and the
operator is given by the formula below
Let us point out that, similar to the calculations presented in the previous part, both of the above integral operators can also be rewritten as integral operators (
38) with kernel (
39) for
and
, respectively.
Our aim is to reformulate the intermediate integral Equation (
50) to the form of an eigenvalue equation. We apply Theorem A1 to invert the operator on the left-hand side. First, we check the assumption of Theorem A1, particularly when condition (H1) is fulfilled and
. We then apply Corollary A1, denoting
, and obtain:
Next, we write condition (
A8) in the explicit form:
All the above considerations lead to the proposition on convergence of the series associated with the intermediate fractional integral eigenvalue problem given in (
50) and (
A5). Analogous convolutions’ series were also studied on the
and
function spaces for FSLPs with homogeneous mixed and Robin boundary conditions, respectively [
13,
14].
Proposition 4. Let (H1) be fulfilled, and function w be positive. If condition (52) is fulfilled, then for any function series on the right-hand side of the formula below is uniformly convergent on interval :where operators are defined in (A6) and (A7) with . In addition, series (A9) determining the kernel of integral operator T in (53) is uniformly convergent on square Δ and kernel G is continuous on Δ. Proof Let us observe that the composition of operators
is an integral operator
where the kernel is defined by the following convolution:
We shall prove that the compositions
are also defined by convolutions of kernels
and
. We start with the induction hypothesis:
and we prove that this formula is valid for the next step
as well:
We begin with the left-hand side, applying the induction hypothesis and associativity property of the convolutions of continuous functions:
As inductive hypothesis (
54) leads to the validity of the next step
; we infer that formula (
54) holds for any natural number
.
Now, we apply Theorem A1 and calculate kernel
G for integral operator
:
The above calculations lead to the thesis of Proposition 4; namely, operator
T, defined by series (
53), is correctly defined on space
as an integral operator with a continuous kernel
G:
□
Having constructed operator T, we now prove the equivalence result, connecting the differential and integral fractional Sturm–Liouville problems in the general case.
Proposition 5. If (H1) and condition (52) are fulfilled, and function w is positive, then the following equivalence is valid on the spacewhere the operator is defined in (22) and the T operator is given in (53) with a kernel determined by series (A9) with . Proof We recall that for any function
, we have (proof of Proposition 2)
and we extend this equality to the analogous formula for operators
T and
where we calculate the corresponding formulas for series by using the fact that operator
T is a uniformly convergent series (Proposition 4) when acting on the
space. For differential FSLE,
after calculating the image of the
T operator of functions on both sides of FSLE
we obtain the integral fractional Sturm–Liouville equation in the form of
In the next step, we assume that the above integral FSLE is fulfilled. Then, function
. We apply the differential operator
to both sides of the integral FSLE
For the composition of operators on the left-hand side, we get for continuous functions
Applying Proposition 4 again, we obtain the following result for the composition of the
and
T operators
From this relation, we derive the differential fractional eigenvalue equation
which leads to the differential fractional Sturm–Liouville equation:
and this ends the proof of equivalence (
55). □
Now, we generalize the Sturm–Liouville operator
by introducing Prabhakar derivatives and we move on to the Prabhakar Sturm–Liouville problem (PSLP) determined in Definitions 2 and 4 and discussed in [
26] in the case when the solutions’ space is restricted by the mixed homogeneous boundary conditions.
We obtain the intermediate form of the integral fractional Prabhakar eigenvalue equation applying composition rules (
18)–(
21)
where integral operator
is given in Formula (
37) and operator
looks as follows:
Similar to the previous calculations for FSLP, operators (
37) and (
57) can be rewritten as integral operators (
38), with kernel
given in (
40) for
and
, respectively. Again, we apply Theorem A1 to invert operator
. First, we check the assumption of Theorem A1, assuming that (H2) is fulfilled and applying Corollary A1 with
:
Next, we write condition (
A8) in the explicit form:
In the proposition below, we describe the inverse operator
connected to the intermediate Equation (
56). We omit the proof as it is a straightforward corollary of Theorem A1, and the full proof is analogous to that of Proposition 4.
Proposition 6. Let (H2) be fulfilled, and function w be positive. If condition (58) is fulfilled, then for any function series on the right-hand side of the formula below is uniformly convergent on interval :where operators are defined in (A6) and (A7) with . In addition, series (A9) determining kernel of integral operator T in (59) is uniformly convergent on square Δ and kernel G is continuous on Δ. Similar to Proposition 5, we formulate the equivalence result for integral and differential version of eigenvalue equations corresponding to PSLP. The proof is based on the composition rules (
18) and (
19) and on Proposition 6, which describes inverse integral operator
. We omit the proof as it is analogous to the proof of Proposition 5.
Proposition 7. If (H2) and condition (58) are fulfilled, and function w is positive, then the following equivalence is valid on the spacewhere the operator is defined in (26), T operator is given in (59) with the kernel determined by the series (A9) and . 4. Results on the Spectrum of Integral and Differential Fractional and Fractional Prabhakar Sturm–Liouville Problems
In the previous section, we discussed and proved the results on the equivalence of differential and integral forms of fractional eigenvalue problems. First, Propositions 2 and 3 describe the equivalence for fractional and fractional Prabhakar Sturm–Liouville problems when fractional differential operators are respectively and , i.e., . In this case, the corresponding integral operators are with kernels and . We prove the spectral results for these operators by applying the Hilbert–Schmidt theorem.
4.1. Case:
Theorem 1. If (H1) is fulfilled and is a positive function, then the spectrum of operator defined by (38) and (39) is a discrete one, enclosed in the interval , with 0 being its only limit point. Eigenfunctions belong to the space and form an orthogonal basis in the space. If (H2) is fulfilled and is a positive function, then the spectrum of operator defined by (38) and (39) is a discrete one, enclosed in the interval , with 0 being its only limit point. Eigenfunctions belong to the space and form an orthogonal basis in the space. Proof Let us observe that when weight function fulfils the assumptions of the theorem, we have for functions spaces
The integral Hilbert–Schmidt operator , defined by kernel , is a compact one, as this kernel is a function continuous on square and .
It is also a self-adjoint operator on
, because kernel
is a symmetric function on square
, and for an arbitrary pair of functions
, we obtain:
The thesis is a straightforward result of the Hilbert–Schmidt spectral theorem. We omit the proof of the second part as it is analogous to the one presented above. □
The spectral theorem for integral fractional and Prabhakar Sturm–Liouville operators together with the equivalence results, included in Propositions 2 and 3, lead to the theorem on the spectrum of differential fractional eigenvalue problems subjected to the homogeneous Dirichlet boundary conditions in the case when .
Theorem 2. If (H1) is fulfilled and is a positive function, then the spectrum of operator defined by (22) and considered on the space is a discrete one, and . Eigenfunctions belonging to the space form an orthogonal basis in the space. If (H2) is fulfilled and is a positive function, then the spectrum of operator , defined by (26) and considered on the space is a discrete one and . Eigenfunctions belonging to the space form an orthogonal basis in the space. 4.2. General Case
We observe that the analogous equivalence of differential and integral FSLP holds in the general case as well. This result is given by Proposition 5. Analogously, Proposition 7 gives the equivalence relation of both versions of the fractional Prabhakar Sturm–Liouville problem. The results, included in the mentioned propositions, allow us to rewrite eigenvalue equations, replacing the differential FSLO and PSLO with the corresponding integral operators T. These operators, first determined as operator series with convergence described in Propositions 4 and 6, are in fact integral Hilbert–Schmidt operators. Their kernels—sums of a uniformly convergent series of convolutions—are continuous functions on square . The theorem below describes the spectrum of fractional integral operators T with kernel G, determined by kernels and , respectively.
Theorem 3. If (H1) and condition (52) are fulfilled, and w is a positive function; then the spectrum of operator T defined by (53) with kernel G given in (A9) with is a discrete one, enclosed in interval , with 0 being its only limit point. Eigenfunctions belong to the space and form an orthogonal basis in the space. If (H2) and condition (58) are fulfilled, and w is a positive function, then the spectrum of operator T is defined by (59), with kernel G given in (A9) and with is a discrete one, enclosed in interval , with 0 being its only limit point. Eigenfunctions belong to the space and form an orthogonal basis in the space. Proof Let us again observe that when the weight function fulfils assumptions of the theorem; we have for spaces considered as sets of functions
Integral Hilbert–Schmidt operator T, defined by kernel G, is a compact one as this kernel is a continuous function on square and .
We recall (proof of Theorem 1) that on the
space, the following equality holds for the arbitrary pair of functions
:
because kernel
is a symmetric function on square
. Next, for the composition of operators
, we obtain the relation
Now, we apply the mathematical induction principle to prove that such relations hold for arbitrary
natural. We formulate an induction hypothesis in the form of
and for step
, we achieve
Applying the mathematical induction principle, we infer that Formula (
61) is valid for all natural numbers
. We use this formula in the proof of the fact that integral operator
T is a self-adjoint one. Remembering that it is represented by a series, uniformly convergent on the Hilbert space (Proposition 4), we calculate the scalar product term by term
To conclude, the integral operator
T with a kernel
G given in (
A9) with
is a compact and self-adjoint operator on Hilbert space
. Therefore, the thesis of the first part of the theorem holds by the Hilbert–Schmidt spectral theorem.
Proof of the second part for operator T, associated with the integral PSLP with homogeneous Dirichlet boundary conditions, is analogous. □
Now, we apply the above spectral theorem for integral fractional eigenvalue problems, with equivalence results enclosed in Propositions 5 and 7 to formulate a theorem on discrete spectra for differential fractional and fractional Prabhakar Sturm–Liouville problems.
Theorem 4. If (H1) and condition (52 ) are fulfilled, and w is a positive function, then the spectrum of operator defined by (22) and considered on the space is a discrete one, and . Eigenfunctions, belonging to the space, form an orthogonal basis in the space. If (H2) and condition (58) are fulfilled, and w is a positive function; then the spectrum of operator defined by (26) and considered on the space, is a discrete one and . Eigenfunctions, belonging to the space, form an orthogonal basis in the space. 5. Discussion
In this paper, we presented results on the discrete spectrum of fractional and fractional Prabhakar Sturm–Liouville problems in a case when eigenfunctions’ space is subjected to the homogenous Dirichlet boundary conditions. First, we extended the idea of the fractional to the fractional Prabhakar eigenvalue problem, where the Sturm–Liouville operator was constructed by using the left and right Prabhakar derivatives.
Prabhakar derivatives, with respect to time, were recently applied in anomalous diffusion models [
27,
28]. The derived spectral results for regular PSLP with Dirichlet boundary conditions will be used in developing equations with fractional partial derivatives with respect to the space–variable.
It appears that the method of converting the differential eigenvalue problem into the equivalent integral one can be applied to both types of Sturm–Liouville operator. This approach, developed in [
13,
14] for fractional eigenvalue problems subject to the homogeneous mixed and Robin boundary conditions, is extended to the case of FSLP with Dirichlet boundary conditions and generalized to PSLP with the same type of conditions.
Let us point out that the spectrum and eigenfunctions of fractional eigenvalue problems with Dirichlet boundary conditions were also studied in [
11,
16] by applying variational methods. The first of these papers describes the spectrum of FSLP for a fractional order in the range
, and the spectral result was extended to range
in [
16]. Comparing both of the methods—the variational one and the transformation into integral FSLP/PSLP—we observe that in the case of Dirichlet boundary conditions, the range of order is wider in the variational method. Nevertheless, the approach proposed here has an advantage of providing the spectral results for regular PSLP as well. Simultaneously, we obtain eigenfunctions’ systems for both types of eigenvalue problems, which provide orthogonal bases in the corresponding Hilbert spaces. Such bases are a meaningful tool in applications in constructing and solving partial differential fractional equations, for example, space-fractional diffusion equations in the finite domain, as well as fractional equations governing control systems (compare references and examples in [
29]).
6. Conclusions
The results developed in this paper describe the spectrum and eigenfunctions properties for FSLP and PSLP subjected to homogeneous Dirichlet boundary conditions. It seems that the conversion method can also be easily applied to other Prabhakar Sturm–Liouville problems; in particular, we shall construct the corresponding mixed, Robin, and Neumann boundary conditions and develop the equivalence results. Then, we will construct the integral PSLO with kernels analogous to those from the papers [
13,
14] and study the spectral properties, both for the integral and differential PSLPs.
Regarding the extension of the range of fractional order for the conversion method, we observe that so far we proved equivalence results on the space of continuous solutions. This restriction is connected to the version of Hölder condition for kernels, as discussed in Lemma A1 and Corollary A1. Thus, the aim of our future work will be to weaken this condition and to extend the range of fractional order.
Further, our investigations will include numerical simulations in order to derive approximate values of eigenvalues and eigenfunctions. As was shown in the papers [
13,
14], the integral form of the fractional Sturm–Liouville eigenvalue equation is particularly useful as a first step of the numerical method of solving FSLP. Thus, our aim will be to discretize integral eigenvalue problems and apply the equivalence results, enclosed in Propositions 2 and 3 for the case
, and in Propositions 5 and 7, when
. In this way, we shall arrive at numerical solutions of differential FSLP and PSLP with Dirichlet boundary conditions.