In-depth Study of Eigenvalues in a Boundary Value Problem for a given
Partial -Differential Equation
ELISABETA PETI, ENKELEDA ZAJMI KOTONAJ, VERA HOXHA
Department of Mathematics,
University of Tirana,
Bulevardi Zogu I,
ALBANIA
Abstract: - In this paper, we are focused on studying a boundary values problem of the second-order differential
equation of Euler-type in the classical version of Calculus, given by the following expression:
󰇡
󰇢
(1)
and includes the above boundary conditions: 󰇛󰇜󰇛󰇜(2)
Firstly, we have proposed the construction of a new function with the intention of transforming the equation
(1) into an Euler-type equation. Since all of these problems are too difficult to solve in Classical Calculus, this
study aims to convert them into equations of this type for the ease of study in -Calculus. Then, we proposed a
transformation method for both the equation and the boundary conditions. Thus, the boundary value problem
consists of a second-order partial differential equation and boundary conditions dependent on the eigenvalues.
By using the procedure of -difference over a time scale , we obtained a second-order Euler -difference
equation with Dirichlet boundary conditions. Also, we have analyzed the exact number of eigenvalues for all
cases that arise from the study of our problem. Here, we have presented three theorems, two of which show the
correct number of eigenvalues of two issues with eigenvalues derived from our principal problem. The last one
shows a relation between two eigenvalues of a problem for
and
. We also have given some examples
that prove the above conclusions.
Key-Words: - Time Scale, Quantum Calculus, -Differential Equation, Difference Equation, Eigenvalues,
Eigenfunctions.
Received: August 13, 2023. Revised: March 23, 2024. Accepted: April 17, 2024. Published: May 15, 2024.
1 Introduction
The theory of quantum calculus, or calculus, has
been attracting the attention of many researchers,
and the interest in this subject is still growing for its
practical applications, especially in the physical
sciences, specifically within the domain
of “Quantum Physics.” It is seen as a connection
between mathematics and physics, operating
independently of the concept of limits. Jackson was
the first to present some applications of calculus
by introducing -analogs of derivatives and
integrals, -derivatives and integrals. Therefore,
the physical meaning of -deformation can be better
understood in terms of the Jackson -derivative,
which corresponds to difference equations, than
in terms of continuous derivatives and continuous
differential equations. The basic rules and exciting
definitions of this calculus in comparison with
classical Newton-Leibnitz calculus were studied
among others in [1], [2], [3]. In particular, some
significant results of -calculus, where the
smoothness of a function is no longer a requirement,
are presented in [4].
At [5], the idea of generalizing the concept of -
derivative from a real function with one variable
to a two-variable function is given, and a -
directional derivative of a function is constructed.
In ordinary classical calculus, we focus on studying
differential equations, whereas in discrete calculus,
our concentration is on difference equations. In
calculus, we explore the concept of -derivative or
-difference equations (-derivative or -difference
equations, -derivative or -difference equations),
which have applications across various
mathematical areas such as number theory, quantum
theory, combinatorics, orthogonal polynomials, and
essential hypergeometric functions. Recently, there
has been significant interest in applying quantum
calculus to differential transform methods to obtain
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analytical approximate solutions for both ordinary
and partial differential equations. By using
calculus, solutions can be generated for certain
differential equations. The reduced transform
techniques were presented in the literature to
approach several different linear or nonlinear
differential systems, such as ordinary differential
equations, functional differential equations,
impulsive differential equations, and partial
differential equations, among others [6], [7].
Mainly when the solutions correspond to the
classical version of the provided initial value
problem solving partial differential equations in
some Euler-type boundary value problems. In [8]
and [9] is studied a boundary value problem which
consists into a second-order difference equation
together with Dirichlet boundary conditions reduced
to an eigenvalue problem for a second-order Euler
-difference equation by separation of variables.
On the other hand, the study of -derivatives on
discrete, continuous, and, more generally, on an
arbitrary nonempty closed set (i.e., a time scale) is a
well-known subject under current solid
development. For an introduction to the theory of
calculus on time scales, we refer to [10], [11], [12],
[13], [14] and [15]. As time scale calculus has
evolved, many authors have focused on integrating
methodologies from both time-scale
and calculus. The most famous examples of
calculus on time scales are differential calculus
󰇛) difference calculus 󰇛) and quantum
calculus󰇛󰇝󰇞where
󰇜. This paper includes the fundamental definitions
and characteristics of delta calculus󰇛)
and delta calculus on a time scale .
Due to the importance of this quantum calculus
on time scales and taking into account that the
oscillatory or asymptotic properties of the solutions
of -difference equations are essential to
understanding several physics phenomena better,
[15], [16], [17] introduced in the literature the
concept of determining the eigenvalues and their
count for the resulting eigenvalue problem defined
on the quantum time scale.
In order to solve a partial differential equation
(PDE) of the second order of form 
󰇛󰇜. The methods of solutions of this
equation depend on properties of function, as well
as the given boundary or initial conditions. This
equation, models a lot of real-life problems and
describe a lot of PDEs based on the nature of
󰇛), which will have a major effect on the
solution technique:
a) The equation reduces to a linear PDE with
constant coefficients if 󰇛󰇜 is a constant.
b) If 󰇛󰇜 is not constant, in most cases the
equation can not be solved analiticaly because it
can require numerical methods.
Since 󰇡
󰇢is widely used in
mathematical modeling, especially in complex
biological models.
The organization of this paper is as follows: in
section 2, we introduce some basic definitions and
preliminary facts used throughout the paper for delta
calculus and delta calculus on a time scale
compared to the classical Newton-Leibniz calculus.
Section 3 analyzes an equation with partial
derivatives of the second order according to various
cases and transforms it case by case into an Euler-
type difference equation. In the end, in Section
4, we determine the eigenvalues and their count for
the resulting eigenvalue problem and provide
examples to illustrate the effectiveness of the
proposed theorems.
2 Preliminaries
This section introduces some of the notations
used throughout the paper. We use the standard
notations found in [1], [2], [3] and [4].
Quantum calculus is a non-limits version of
calculus, where derivatives are differences and anti-
derivatives are sums, with the derivative of a
function 󰇛󰇜being defined as:
󰆒󰇛󰇜
󰇛󰇜
󰇛󰇜󰇛󰇜
related to the existence of the limit.
The -derivative is defined as:
󰇛󰇜󰇛󰇜󰇛󰇜
where is a non zero fixed scalar.
The -derivative is defined as:
󰇛󰇜󰇛󰇜󰇛󰇜
where is a fixed scalar different from 1.
The delta -derivative is defined by:
󰇛󰇜󰇛󰇜󰇛󰇜
󰇛󰇜
where is a fixed scalar different from 1.
Note that these types of derivatives do not use
the limit. So, there are different types of quantum
calculus. In this section, we recall some notations of
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-calculus with delta -derivative and some basic
facts and results on calculus and time scales.
Studyingcalculus on a time scale leads to
essential facts and results. Some well-known time
scales presented in other authors' works are as
follows:
󰇝󰇞󰇝󰇞 ,  (3)
This time scale is equivalent to:
󰇝󰇞, (4)
where,
󰇝󰇞
󰇝󰇞
or
󰇝󰇞(5)
As given in [17], the time scale is defined as a
set with zero Minkowski (or box-counting)
dimension. Moreover, it is a time scale where
󰇝󰇞is a monotonically decreasing sequence
converges to zero and is defined as:
󰇝󰇞󰇝󰇞
Its particular case time scale is defined by:
󰇝󰇞󰇝󰇞, for  (6)
The above collections are defined on (4) and (5)
are used in our study's other work. For symmetry,
we will focus on a time scale as follows.
Consider an arbitrary function with
 The Jackson’s delta -difference
operator of the function is given by:
󰇱󰇛󰇜󰇛󰇜󰇛󰇜
󰇛󰇜
󰇛󰇜
󰇛󰇜
(7)
so, this -derivative can be applied to functions not
contained in their domain of definition. If 󰇛󰇜is
differentiable, note that:
󰇛󰇜
󰇛󰇜
󰇛󰇜󰇛󰇜
 
󰇛󰇜
so, this analog derivative is reduced to the
ordinary derivative when . The -version of
the above derivation is the evident and plain ratio in
contrast with Leibniz's notation
󰇛󰇜 since it is
known that the latter is a ratio of two
"infinitesimals."
Now, we shortly describe the idea of studying
Euler-type equations. In particular, Euler-type
ordinary differential equations are defined by:
󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜󰆒󰇛󰇜
󰇛󰇜󰇛󰇜
where are real numbers. As is
known, the linear equation remains linear even after
each variable transformation. In the above equation,
if transform the independent variable using the
relation 󰇛󰇜, where 󰇛󰇜, is an arbitrary
function defined and times differentiable in an
interval 󰇠󰇟 corresponding to the change of in
the interval 󰇠󰇟and such that 󰇛󰇜 for every
󰇠󰇟
It is known that in these equations, the
substitution of the variable turns it into a
linear equation with constant coefficients, which is
easier to solve. What motivates us to use
calculus is the well-known fact that, as with the
ordinary derivative, the action of taking the
derivative of a function is a linear operator. In
other words, for any constants and , we have:
󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜
and a higher order of delta derivatives is as
follows:

󰇛󰇜󰇛󰇜
󰇛󰇜
󰇡
󰇛󰇜󰇢󰇛󰇜
In [8] and [9] is used the separation of variables
method for an Euler-type, second-order partial
differential equation with Dirichlet boundary
conditions to arrive at a particular eigenvalue
problem. Additionally, by-calculus for a function
, we define the Jackson derivatives
of concerning the first and the second variable,
respectively, by:
󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜
󰇛󰇜 

and
󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜
󰇛󰇜 

For convenience, in this paper, we will use symbols,


󰇛󰇜󰇛󰇜
󰇛󰇜
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When we expand the above equation, we obtain for

󰇛󰇜󰇛󰇜
󰇛󰇜 󰇛󰇜󰇛󰇜
󰇛󰇜
󰇛󰇜

󰇛󰇜
󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜
󰇛󰇜
(8)
Similarly, we can compute the partial derivative 
for

󰇛󰇜
󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜
󰇛󰇜
(9)
Note that,



We start with an analysis according to the cases of
an equation with partial derivatives of the second
order and, case by case, transform it into the
following Euler-type:
 󰇛󰇜󰇛󰇜
which is a second-order difference equation
combined with Dirichlet boundary conditions.
3 Main Results
3.1 Boundary Value Problem
Let and consider the boundary value
problem in ordinary calculus as follows:
󰇡
󰇢
 (10)
with boundary conditions:
󰇛󰇜󰇛󰇜 (11)
Its associated second-order -difference
equation, together with Dirichlet boundary
conditions, is:
󰇡
󰇢󰇛󰇜󰇛󰇜
 (12)
A generalized solution of the problem (12) is a
function 󰇛󰇜 that satisfies the equation and
Dirichlet boundary conditions.
First, let us solve the problem of constructing
the function such that equation (10) is of the Euler
type.
We define as follows:
󰇛󰇜󰇡
󰇢
 (13)
and depending on the constants
, we
divide the problem into three cases:
Case 1.
If  then function 󰇡
󰇢 is written
differently

󰇭󰇡
󰇢
󰇡
󰇢󰇮
󰇧󰇛󰇜󰇛󰇜
󰇛󰇜󰇛󰇜󰇨
󰇧󰇛󰇜
󰇛󰇜󰇨󰇡
󰇢
The equation (12) is now written in the form:
󰇡
󰇢󰇛󰇜󰇛󰇜 (14)
Case 2.
If  then we first consider the case
 󰇛󰇜 (15)
From this condition, we generate the algebraic
system 

which has a unique solution 󰇛󰇜󰇛󰇜. We
apply the following transformation:
 (16)
where 

and obtain in the same way as in Case 1:

󰇧󰇛󰇜󰇛󰇜
󰇛󰇜󰇛󰇜󰇨


Let us recall a relation between the derivatives from
classic calculus,

moreover, we take the boundary value problem in
ordinary calculus as follows:
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󰇡󰇢 󰇛󰇜󰇛󰇜
  (17)
Let us construct its associated equation in -calculus
 󰇡󰇢 
  (18)
Case 3.
If  then we consider the case
 (19)

Let us now assume that , so there
exists , such that , .
Since,
󰇛󰇜


the problem (10)-(11) is now written in the form:
󰇡
󰇢󰇛󰇜󰇛󰇜 (20)
which is a wave-problem, and its solutions are known.
This last case, Case 3, also includes the subcases when
or .
We are assuming that , while ,
so equation (10) has the form:


Then for the function we have:
󰇛󰇜

then
󰇡
󰇢󰇛󰇜󰇛󰇜 (21)
We are assuming that , while ,
equation (10) has the form


where, 󰇛󰇜
󰇡
󰇢
then
󰇡
󰇢󰇛󰇜󰇛󰇜 (22)
We are assuming that , while
; equation (10) has the form:

then
󰇛󰇜󰇛󰇜 (23)
Our work is based on these two problems (14) and
(18) respectively
󰇡
󰇢󰇛󰇜󰇛󰇜
 
 󰇛󰇜󰇛󰇜
3.2 Separation of Variables for Equation
(14)
In this section, we will look for a generalized
function 󰇛󰇜that satisfies the second-order -
difference equation in the problem (14):

which is equivalent to a second-order -recursion
relation
󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜
󰇛󰇜
󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜
󰇛󰇜
i.e., 󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜
󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜
(24)
Using the separation of variables, we derive a
specific eigenvalue problem with boundary
conditions.
So, let's have 󰇛󰇜󰇛󰇜󰇛󰇜 so that
󰇛󰇜󰇛󰇜󰇛󰇜 and 󰇛󰇜
󰇛󰇜󰇛󰇜. This is also applied to terms 󰇛󰇜
and 󰇛󰇜. We obtain that when we substitute
these values into the -difference equation (24), we
obtain that:
󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜
󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜
(25)
Now we divide each side of (25) by 󰇛󰇜󰇛󰇜
and then set both sides equal to a constant  to
obtain:
󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜
󰇛󰇜
󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜
󰇛󰇜 
(26)
and from boundary conditions of the problem (14):
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󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜 (27)
Hence, from (26) and (27), the eigenvalue problem
for the function is:
󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜
󰇛󰇜󰇛󰇜 (28)
We will use a similar substitution technique as
the one we use to convert the ordinary Euler-type
differential equation into an equation with constant
coefficients.
Suppose that 󰇛󰇜 and 󰇛󰇜
 It is obvious that
󰇛󰇜 
󰇛󰇜
and 󰇛󰇜󰇛󰇛󰇜󰇛󰇜󰇛󰇜
Now, we will make the following substitutions
into the Euler-type equation in (28), and we will get
󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜
with characteristic equation
󰇛󰇜󰇛󰇜 (29)
We solve (29) as below:
󰇛󰇜󰇛󰇜

Hence, we let:

󰇡
󰇢 and 
󰇡
󰇢
From the sign of 󰇡
󰇢 we have the
following three cases:
Case I. 
Case II. 
Case III. 
The eigenvalues and general solutions of the Euler-
type equation in problem (28) for each of these
cases are as follows:
Case I. 󰇡
󰇢
󰇛󰇜󰇛󰇜󰇛󰇜where 󰇛󰇜 and 󰇛󰇜
are linearly independent, so
󰇛󰇜 (30)
Our next step is to find the eigenvalues of (29).
We apply the first Dirichlet condition 󰇛󰇜 to
(30), and we obtain that:
󰇛󰇜
so that 
Now we will use the relationship between 
and  and apply it to the general solution (30), and
then we will use the other Dirichlet condition
󰇛󰇜
󰇛󰇜󰇡󰇢
󰇛󰇜
Since for  we obtain the trivial solution,
we shall discuss the following conditions for
This can occur for or for even
.
For we have that

󰇡
󰇢
󰇡
󰇢
i.e., 󰇡
󰇢
so that:
󰇡
󰇢
which is not a valid value for in Case I.
Next, for even   we have that

󰇡
󰇢
󰇡
󰇢
which leads us to , contradicting the
fact,. Thus, there are no eigenvalues in
this case.
Case II. 󰇡
󰇢
󰇛󰇜󰇛󰇜󰇛󰇜where 󰇛󰇜 and
󰇛󰇜 are linearly independent.
󰇛󰇜󰇛󰇜󰇡
󰇢 (31)
Now we look at the first Dirichlet condition in (31)
to find
󰇛󰇜󰇛󰇜

so 
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Let and then apply the second Dirichlet
condition, which gives us the following equality
󰇛󰇜


For this to be true either  or ,
from which we do not obtain any eigenvalues.
Hence, there are no eigenvalues.
Case III. 󰇡
󰇢 󰇛󰇜
So, we have
󰇛󰇜
󰇛󰇜
󰇛󰇜
󰇛󰇜󰇛󰇜
󰇛󰇜
󰇛󰇜


󰇛󰇜󰇛󰇜󰇛
󰇜
From substitutions 󰇛󰇜,
this leads to the subsequent result
󰇛󰇜
 (32)
where 󰇛󰇜󰇛󰇜 and
󰇡
󰇢 
At the end, we will look at the case where
󰇡
󰇢, we will use the equation (32) with the first
Dirichlet condition to find
󰇛󰇜

We let , and apply the other Dirichlet
condition to obtain:
󰇛󰇜󰇡󰇢
󰇛󰇜 (33)
Note that
󰇡
󰇢󰇡
󰇢 and
󰇡
󰇢 

Therefore, we obtain from (33) that:
󰇛󰇜󰇛󰇜 (34)
If we look at the conditions at (34), ,
it may be suitable because 󰇡
󰇢 is a
contradiction. So, we consider only that 󰇛󰇜
. This leads us to , which gives us the
values where
 

 (35)
Since the cosine function is an even function,
we do not lose anything if we continue to take
. Solving (35) for we have that:
󰇧
󰇡
󰇢󰇨 (36)
for 󰇛󰇜 if is an even integer
and 󰇛󰇜 if is an odd one.
Hence, we obtain the following main result.
Theorem 3.1
Let . The problem (14) has
exactly󰇣
󰇤where [·] denotes the greatest integer
function, eigenvalues, and they can be calculated
from the formula (36). The corresponding
eigenfunctions are given by
󰇛󰇜󰇡
󰇢 (37)
Example 3.1
Let . By (36), for  the
eigenvalue and corresponding eigenfunctions are:
󰇛󰇜

and 󰇛󰇜󰇡
󰇢󰇡
󰇢
For  the eigenvalue and its corresponding
eigenfunction are:
and 󰇛󰇜󰇛
󰇜󰇡
󰇢
󰇡
󰇢 and 󰇛󰇜󰇟󰇛
󰇜󰇠󰇡
󰇢
󰇡
󰇢 and 󰇛󰇜
󰇣󰇡
󰇢󰇤󰇡
󰇢
Next, for from (36), we will have that
 which does not lead us to an eigenvalue.
Similarly, we have that for and we
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conclude that . We will obtain the same
result as the above argument when the values of
grow. Hence, there are only two eigenvalues as
given above. In particular, if
, the eigenvalues
are

and
.
Theorem 3.2
Let be the set 󰇝󰇞󰇝󰇞, where,
and let󰇝󰇞 be the sequence of eigenvalues of
problem (14). Let be the set 󰇝󰇞,
where, and let󰇝󰇞 be the sequence
of eigenvalues of problem (14). Then,

Proof:
For  the eigenvalues are
and , (see
Bohner 2007). For
the eigenvalues are

and


󰇭
󰇡
󰇢󰇮
󰇡
󰇢




.
.
.
󰇭
󰇡
󰇢󰇮
󰇧
󰇡
󰇢󰇨
3.3 Separation of Variables for equation
(18)
 
 󰇛󰇜󰇛󰇜
We use the separation of variables to arrive at a
specific eigenvalue problem. So, let 󰇛󰇜
󰇛󰇜󰇛󰇜 and proceed as above, and by sign of
󰇡
󰇢, we have the following three cases:
Case I.
󰇡
󰇢and󰇛󰇜
(38)
Case II.
󰇡
󰇢and󰇛󰇜󰇛󰇜󰇡
󰇢
(39)
Case III.
󰇡
󰇢and󰇛󰇜
󰇡󰇢
(40)
where 󰇡
󰇢 dhe 
The eigenvalues and general solutions of the Euler-
type equation in problem (18) with Dirichlet
conditions: 
for each case are as follows:
Case I. 󰇡
󰇢 .
We apply the first Dirichlet condition 
to (38) and obtain that:
  
 so, we have that 󰇡
󰇢
Now we use the relationship between  and 
and apply it to the general solution (30), and after
that, we use the other Dirichlet condition
󰇛󰇜
  


󰇛󰇜
Since for  we have obtained a
trivial solution, we shall discuss the following
condition for
This can occur for or  for even
.
For we have that:
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
󰇡
󰇢
󰇡
󰇢
i.e., 󰇡
󰇢 so that 󰇡
󰇢
which is not a valid value for in Case I.
Next, for  we have that:

󰇡
󰇢
󰇡
󰇢
where we obtain that, , contradicting the fact
that. Thus, there are no eigenvalues in
this case.
Case II. 󰇡
󰇢
Now we look at the first Dirichlet condition in (39)
to find:
󰇛󰇜

󰇛󰇜

which leads us to , and again contradict the
fact that. Let’s have  and then
apply the second Dirichlet condition, which gives
the following equality:
󰇛
󰇜



For this to be true, either  or ,
from which we do not obtain any eigenvalues.
Hence, also, in this case there are no eigenvalues.
Case III. 󰇡
󰇢 󰇛󰇜
Now, we will use the equation (40)with the first
Dirichlet condition to find:
󰇡
󰇢
󰇛󰇜󰇛󰇜
Let 󰇛󰇜󰇛󰇜 and apply the other
Dirichlet condition to obtain:
󰇡
󰇢 (41)
󰇡󰇛󰇜󰇛󰇜󰇢
󰇟󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜󰇠
󰇟󰇛󰇜󰇛󰇜
󰇛󰇜󰇛󰇜󰇠
󰇟󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜󰇠
󰇟󰇛󰇜󰇛󰇜
󰇛󰇜󰇛󰇜󰇠
󰇛󰇜󰇟󰇛󰇜󰇛󰇜󰇠
From the last equality, we have that 󰇛󰇜
󰇛󰇜 or 󰇛󰇜 If the first equality
is true, we have that:

󰇛󰇜󰇛󰇜
󰇛󰇜󰇧
󰇨
Then,  or 󰇛󰇜
So, we will consider only the other possible
solution, which is 󰇛󰇜. This leads us to
, which gives us the values ,
where  

 (42)
Since the cosine function is an even function, we do
not lose anything if we continue to take .
Solving for we find that
󰇧
󰇡
󰇢󰇨 (43)
for 󰇛󰇜 if is an even integer
and 󰇛󰇜 if is an odd integer.
Hence, we determine the following main result.
Theorem 3.3
Let . The problem (18) has exactly󰇛
󰇜where · denotes the greatest integer
function, eigenvalues, and they can be calculated
from the formula (43). The corresponding eigen
functions are given by
󰇛󰇜󰇡
󰇢 (44)
where,
󰇭
󰇡
󰇢󰇮
WSEAS TRANSACTIONS on MATHEMATICS
DOI: 10.37394/23206.2024.23.37
Elisabeta Peti, Enkeleda Zajmi Kotonaj, Vera Hoxha
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4 Conclusion
In this article, we have introducesd some basic
properties of delta -calculus and delta -calculus
on a time scale compared to the classical
Newton-Leibniz calculus. We have analyzed a non
classical -difference equation, by using a
transformation for the function which is involved in
it. To continue, we have determined and combined
some explicit formulas for eigenvalues and their
count for the resulting eigenvalue problem and we
have provided examples to illustrate the
effectiveness of the proposed theorems. The
obtained result will help us inour further study to
find a lower and upper bound for the -
eigenvalue to analyze the asymptotic behavior of
eigenvalues on a Time Scale These results will
be combined with some well-known properties of
oscillation theory to study the countability of these
eigenvalues.
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6.
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DOI: 10.37394/23206.2024.23.37
Elisabeta Peti, Enkeleda Zajmi Kotonaj, Vera Hoxha
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Volume 23, 2024
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The authors equally contributed in the present
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problem to the final findings and solution.
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Scientific Article or Scientific Article Itself
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Conflict of Interest
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WSEAS TRANSACTIONS on MATHEMATICS
DOI: 10.37394/23206.2024.23.37
Elisabeta Peti, Enkeleda Zajmi Kotonaj, Vera Hoxha
E-ISSN: 2224-2880
350
Volume 23, 2024