Abstract
In this work, an analytic approach for solving higher order ordinary differential equations (ODEs) is developed. The techniques offer analytic flexibility in many research areas such as physics, engineering, and applied sciences and are effective for solving complex ODEs.
1. Introduction
The solutions of differential equations (DEs) are of much interest to engineers, physicists, mathematicians and researchers since many physical phenomena are modeled by using differential equations. For example, in physics, Legendre DE [1], which is a self-adjoint ODE, arises in the solutions of Hydrogen atom wave functions and angular momentum in single-particle quantum mechanics. Their solutions form the polar angle part of the spherical harmonics basis for the multi pole expansion, which is used in both electromagnetic and gravitational statics. In engineering, for example, many difficult problems in the field of static and dynamic mechanics can be solved by computing the solutions self-adjoint Bessel equations (see [2]).
In general, solving higher order DEs is complex and numerical methods are usually needed to solve these equations with initial or boundary conditions. For instance, Khawaja et al. (2018) [3] used iterative power series of to solve nonlinear ordinary differential equations (ODEs). Vitoriano (2016) [4] also used the finite element method to solve partial differential equations (PDEs). Mariani and Tweneboah (2016); Mariani et al. (2016, 2018) and Habtemicael and SenGupta (2014) used Itô’s calculus to solve stochastic differential equations (SDEs) (see [5,6,7,8]). The above studies suggest that different numerical techniques are needed when solving complex DEs.
Leighton and Nehari (1958) [9] studied the oscillation properties of the solutions of fourth order self-adjoint DEs i.e.,
where and . In particular, the authors studied the case where the functions and do not change sign in . Barret [10] investigated a special case of Label (1), where and both and are positive and continuous on . The author extended this with the object of paralleling the self-adjoint DE of the second order with positive and continuous coefficients. In the paper by [11], the authors used change of variables to find the analytic solution to some self-adjoint DEs of the Fourth Order. In general, the solutions to self-adjoint equations are complex, hence we most often tend to solve them using numerical methods, which contain approximation errors. The solution technique proposed in this paper produces analytic solutions unlike numerical methods that have approximation errors. In this work, we extend the concept of self-adjoint equations to solve higher order differential equations including odd orders, arguing that this work may serve as a reference for solving other higher order self-adjoint type ODEs. According to the authors’ knowledge, no comprehensive work was dedicated to solving odd order self-adjoint type ODEs. Indeed, at present, general research in self-adjoint type ODEs are concerned with solving even orders ODEs (see [2,9,11], etc.). In addition, little work has been carried out to study integrating factor type techniques for solving higher order ODEs and previous works have only studied the integrating factor technique for solving first order ODEs [12]. An integrating factor is a function by which an ordinary differential equation can be multiplied in order to make it integrable.
In this paper, we provide two new analytic methods to solve some particular classes of higher order differential equations (ODEs), without the need of solving them numerically. The paper is outlined as follows: In Section 2, we will briefly review the background of self-adjoint operators and present some known results. In Section 3, we present the technique for solving higher order ODEs in the self-adjoint form. This section also discusses the conditions for a higher order ODEs to be in the self-adjoint form. Examples and applications are also presented. In Section 4, we discuss the integrating factor theory for solving higher order ODEs. Conclusions are contained in Section 5.
2. Second Order ODEs in the Self-Adjoint Form
This section presents background on the self-adjoint form and techniques for solving second order ODEs. We begin our discussion with the necessary conditions for a second order ODE to be in the self-adjoint form.
Consider the second order ODE:
Suppose we have an operator defined as
Using the substitution , we can rewrite Label (2) as
For a given operator , there exists a corresponding operator , known as the adjoint operator associated with . If the condition
is satisfied, we see that and we say that the operator is self-adjoint.
Definition 1.
A classical example of a second order self-adjoint ODE is the Legendre’s equation:
Definition 2.
A second-order ordinary differential equation is called a Sturm–Liouville Equation if it is of the form:
where λ is a constant and is a known function called either the density or weighting function.
The constant is called an eigenvalue and each eigenvalue has a corresponding eigenfunction. The solutions of (7) satisfy important mathematical properties under appropriate boundary conditions. See [1,2,13,14,15,16,17] and the references therein for more background on the self-adjoint approach.
A second order differential equation can always be presented in a self-adjoint formulation by using the Sturm–Liouville theory. Refer to [11] for details of transforming a non self-adjoint differential operator into the self-adjoint form.
Next, we state the following results in [11].
Theorem 1.
If a second order self-adjoint ODE
verifies the condition
then the solution to Label (8) is
where and are arbitrary constants.
We now present an example.
Example 1.
Consider the third order ODE
To obtain a solution for this equation, we let . Thus, (11) reduces to the form:
which is a second order ODE for v. Next, we obtain a solution for v using the second order self-adjoint technique. From (12), we observe that and . We observe that (9) is satisfied:
Equation (13) is a linear differential equation that can easily be solved.
3. Higher Order ODEs in the Self-Adjoint Form
In this section, we develop a technique that gives conditions for higher order ODEs to be in a self-adjoint form, providing an analytic solution.
We begin with a third order self-adjoint ODE.
3.1. Third Order ODEs in the Self-Adjoint Form
A third order linear differential operator is defined as
where on , and are continuous functions on . If the operator in (14) acts on , and taking into account that
we have:
To define the self-adjoint operator, we now assume the following conditions:
where , , and are continuous functions on . Using these conditions, we define an adjoint operator corresponding to in (16) as follows:
The second term of (18) can be written as:
Thus, (18) can be rewritten as:
Therefore, we see that based on the conditions (17), and we say that the operator is self-adjoint.
Definition 3.
A third order ODE is said to be in the self-adjoint form if and only if:
where and conditions (17) are satisfied.
We present a theorem for solving higher order self-adjoint type ODEs.
Theorem 2.
If a third order self-adjoint ODE
verifies the conditions and then the solution to (22) is
where , , are continuous differentiable functions, and , , are arbitrary constants.
Proof.
The third order self-adjoint ODE
can be written as:
which implies that
Considering the change of variable for in (23), where and are continuous and differentiable functions, we obtain
Assuming that the coefficient of is zero, we can solve for as follows:
Then, without loss of generality, the corresponding solution to (25) is
Next, we also assume that the coefficients of and u are both zero i.e.,
3.2. Fourth Order ODEs in the Self-Adjoint Form
A fourth order linear differential operator acting on a function y is given by
where on , and are continuous functions on . Then, using the same approach discussed in the previous subsection, we state the following definition:
Definition 4.
A fourth order ODE is said to be in the self-adjoint form if and only if:
and the conditions
are satisfied and where , , , and are continuous functions on .
An example of a fourth order self adjoint ODE is given below:
3.3. Examples and Applications
In this subsection, we present applications and examples of self-adjoint ordinary differential equations.
Example 2.
Consider the equation
We observe that the conditions are satisfied, hence we can obtain the analytic solution from Theorem 2 as:
Example 3.
Consider a third order ODE,
Since the conditions of Theorem 2 are satisfied, we can obtain the analytic solution of our ODE as
4. Integrating Factor Approach for Solving Higher Order ODEs
In this section, we present an integrating factor methodology for solving ODEs. The aim is to develop a technique for solving higher order differential equations. To proceed, we present the definition of a Ricatti ODE of the first order.
Definition 5.
A Ricatti ODE of the first order is any equation of the form
where and are continuous functions and is a real number.
4.1. Integrating Factor Technique for Second Order ODEs
In order to solve a second order ODE, we propose a first order Ricatti ODE for a variable b. In fact, this Ricatti equation is obtained by using the coefficients of the second order ODE and the particular solution for this equation helps to obtain the integrating factor of the second order ODE. Using integrating type techniques, we obtain a particular solution of the second order differential equation. We proceed with the methodology as follows.
Consider a general second order ODE,
We can express the second order ODE as:
where u is an integrating factor. This equation can be rewritten as:
We then simplify the above two equations and obtain the Ricatti equation for b:
If we know the homogeneous solution of (42), then is a solution of the Ricatti equation and if u in (45) is given by , we obtain that u is an integrating factor of (42) and this allows us to obtain a particular solution. We also observe that, from (45) and (46), it is possible to obtain the second order differential equation for the integrating factor, which is . As , it implies that . Therefore, .
Next, we present an example.
Example 4.
Consider a second order ODE,
where k is any even number.
In particular, we consider the case where i.e.,
Comparing this equation with (42), we observe that , , and .
The Ricatti equation for b is given by:
Knowing that is a solution of the homogeneous equation associated with (49) i.e., , as , then is a particular solution of (50). We now compare between Equations (42) and (44) and obtain:
Then,
Integrating both sides of (51), we have
Without loss of generality, .
Now plugging and R into (43) and integrating both sides, we obtain
This implies that
The solution to this last equation can be found by using first degree order integrating factor theory.
4.2. Integrating Factor Technique for Third Order ODEs
We begin this subsection with a theorem.
Theorem 3.
Given
if we know a solution to the associated integrating factor equation
or, alternatively, a solution to
then we can find a particular solution to (52).
Proof.
Expanding, we get
- (i)
- (ii)
- (iii)
From (i), we have that:
and from (ii):
Finally from (iii), we have and so
Combining with (59), we obtain
From (64), we obtain
Using the change of variable , we have that
Then, replacing into (66), we conclude that , and
Therefore, (70) represents the Ricatti equation associated with (52). On the other hand, if we replace (68) into (65) and use the relations and , we get:
which is the corresponding homogeneous equation associated with (65).
We recall from conditions (i) and (ii) that and , respectively. Thus, from (i), and replacing this into (ii), we have:
From condition (iii) , so, taking the derivative of (72), we obtain the integrating factor equation
Remark 1.
Example 5.
Consider the third order ODE
One solution for (74) is and another solution is .
Comparing (74) to the integrating factor equation (73), we observe that , and . Solving for and R, the corresponding equation for (52) is
Since from (59), we can solve for b using . Thus, and as solving for b we get . Now, from (61), since , replacing and , we get . Thus, replacing and a in (55) and integrating both sides we get:
Suppose , then
and we have that:
To find a solution for this last equation, we use Euler for the homogeneous equation or
Setting , we get the fundamental solutions to be and . Hence, the general solution for the homogeneous part is . To find a particular solution, we implement again the technique used in the previous example.
Consider
with . Using one of the fundamental solutions for example , since , then, from Equation (43) with instead of , we get:
Example 6.
Consider the second order ODE
If we assume , then . Here, we know that and . Next, since , replacing P and b, we get . Thus, we pick . By using (77) i.e.,: , if we have that , then
Then, integrating both sides, we obtain:
and from this last equation we can easily obtain the solution.
Recall from Section 4.1 and Section 4.2 that it is enough to know one solution either from the original homogeneous differential equation or the corresponding associated integrating factor differential equation in order to find a particular solution for the ODE.
4.3. Integrating Factor Technique for Fourth Order ODEs
We begin this subsection with a theorem.
Theorem 4.
Given the equation:
Proof.
We proceed the same way as with the case for degree 3. If we multiply (78) by u i.e.,
and propose that
Thus, we have
- (i)
- (ii)
- (iii)
- (iv)
Now from (i),
From (ii),
and then . Thus,
From (iii),
and so
Finally, from (iv),
and then .
Replacing the above equation in (86) and using (85), we get
and from (86), taking the derivative of (87) and using the fact that :
Solving for , we get
If we consider the homogeneous part of the original equation (78) i.e.,
using the change of variable , then
and
and finally computing the third derivative,
Thus, comparing (88) with (92), we have that and that are common for (88) and (92). Dividing (89) by y and substituting and rearranging terms, we obtain
Replacing (93) in (92) and using (90) and (91), and , we obtain:
which has four terms in common with (88). We observe that from (88) and (94) the corresponding terms are and . The other terms in both expressions suggest that for coefficient of and , respectively. Then, from (94), , , , , and . This suggests that as (94) comes doing from the homogeneous part of (78), then, similarly, (88) must come from doing on (80).
Example 7.
Consider the fourth order ODE
In this example, we have and . Therefore, and . Hence,
would be
One solution of this equation is . Replacing and since , then . Therefore, and as , this means . In addition, since , it implies that . Then, following the proof of Theorem 4, we have:
Replacing and c into the above equation and integrating we have:
To find this solution, we first note that can be converted to an Euler equation
Setting , we obtain and to be the solutions of the third order ODE
Thus, we can solve for (95) by using the same methodology as we did with degree 3.
5. Conclusions
In this work, we introduce two new analytic methods for solving some particular classes of higher order ODEs, without the need for solving them numerically. In particular, we developed a self-adjoint type formulation and integrating-factor approaches for solving higher order ODEs including odd order ODEs. The analytic solutions produced using these methodologies are exact unlike numerical solutions that have approximation errors. The methodologies presented in this work may serve as a reference for solving other higher order ODEs.
Author Contributions
M.P.B.-V. and M.C.M. contributed to the supervision and project administration, M.P.B.-V., M.C.M., M.A.M.B. and O.K.T. contributed to the conceptualization and methodology. All authors have read and approved the final manuscript.
Funding
This research received no external funding.
Acknowledgments
The authors would like to thank the reviewers for the careful reading of the manuscript and the fruitful suggestions that helped to improve this work.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Arfken, G. Self-Adjoint Differential Equations. Mathematical Methods for Physicists, 3rd ed.; Academic Press: Orlando, FL, USA, 1985; pp. 497–509. [Google Scholar]
- Delkhosh, M. The conversion a Bessel’s Qquation to a Self-Adjoint Equation and Applications. World Appl. Sci. J. 2011, 15, 1687–1691. [Google Scholar]
- Khawaja, U.A.; Mdallal, Q.M.A. Convergent Power Series of sech(x) and Solutions to Nonlinear Differential Equations. Int. J. Differ. Equ. 2018, 2018, 6043936. [Google Scholar]
- Ruas, V. Numerical Methods for Partial Differential Equations: An Introduction; Wiley: New York, NY, USA, 2016; ISBN 978-1-119-11135-1. [Google Scholar]
- Mariani, M.C.; Tweneboah, O.K. Stochastic differential equations applied to the study of geophysical and financial time series. Physica 2016, 443, 170–178. [Google Scholar] [CrossRef]
- Mariani, M.C.; Tweneboah, O.K.; Gonzalez-Huizar, H.; Serpa, L.F. Stochastic Differential Equation of Earthquakes Series. Pure Appl. Geophys. 2016, 173, 2357–2364. [Google Scholar] [CrossRef]
- Mariani, M.C.; Bhuiyan, M.A.M.; Tweneboah, O.K. Estimation of Stochastic Volatility by using Ornstein-Uhlenbeck Type Models. Physica 2018, 491, 167–176. [Google Scholar] [CrossRef]
- Habtemicael, S.; SenGupta, I. Ornstein-Uhlenbeck processes for geophysical data analysis. Physica 2014, 399, 147–156. [Google Scholar] [CrossRef]
- Leighton, W.; Nehari, Z. On the oscillation of solutions of self-ad joint linear differential equations of the fourth order. Trans. Am. Math. Soc. 1958, 89, 325–377. [Google Scholar] [CrossRef]
- Barrett, J.H. Disconjugacy of a self-adjoint differential equation of the fourth order. Pacific J. Math. 1961, 1, 25–37. [Google Scholar] [CrossRef]
- Delkhosh, M.; Delkhosh, M. Analytic Solutions of Some Self-Adjoint Equations by Using Variable Change Method and Its Applications. J. Appl. Math. 2012, 2012. [Google Scholar] [CrossRef]
- Bronson, R. Schaum’s Outline of Differential Equations; McGraw-Hill: New York, NY, USA, 2003. [Google Scholar]
- Gandarias, M.L. Weak Self-Adjoint Differential Equations. J. Phys. 2011, 44, 262001. [Google Scholar] [CrossRef]
- Javadpour, S.H. An Introduction to Ordinary and Partial Differential Equations; Wiley: New York, NY, USA, 1993. [Google Scholar]
- Bianca, C.; Pennisi, M.; Motta, S.; Ragusa, M.A. Immune system network and can- cer vaccine. AIP Conf. Proc. 2011, 1389, 945–948. [Google Scholar] [CrossRef]
- Bianca, C.; Pappalardo, F.; Motta, S.; Ragusa, M.A. Persistence analysis in a Kolmogorov-type model for cancer-immune system competition. AIP Conf. Proc. 2013, 1558, 1797–1800. [Google Scholar] [CrossRef]
- Ragusa, M.A.; Russo, G. ODEs approaches in modeling fibrosis. Comment on Towards a unified approach in the modeling of fibrosis: A review with research perspectives. Phys. Life Rev. 2016, 17, 112–113. [Google Scholar] [CrossRef]
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