Abstract
In this paper, we state an algorithm that checks whether a given second-order linear differential equation can be reduced to the tri-confluent Heun’s equation. The algorithm provides a method for finding solutions of the form where the parameters the functions and f are not constant.
1. Introduction
The tri-confluent Heun’s function, is a solution for the tri-confluent Heun’s differential equation [1]
where The equation corresponds to the following differential operator:
where There are many applications for the Heun’s functions in different fields of science such as quantum mechanics, gravitational physics, astrophysics, nuclear physics, chemical dynamics, mathematical chemistry, mathematical physics, etc. [2,3,4].
Applying the change of variables transformation [5], which is the substitution
where and f is not constant, on gives a second-order differential operator Note that has a solution of the form Also, applying the exp-product transformation [5], which is
where on produces a second-order differential operator From the definition of the transformations, the operator L has a solution of the form
If L is obtained from by and we write , and the operator L is denoted by
Consider the second-order linear differential equations with solutions of the form
where , and y is a special function (e.g., Bessel, Kummer, and the hypergeometric functions and ) that satisfies a second-order linear differential equation (see [6]). These kinds of equations are studied by many authors (e.g., [7,8,9,10,11]). In the general case, where y is not a special function, Algorithm 17 in [12] reduces the second-order linear differential equations with solutions of the form to the same order with solutions of the form y by detecting the change of variable transformation Our algorithm in [13] studies the second-order differential equations with solutions of the form
where is the confluent Heun’s function.
Let be an irreducible second-order differential operator with coefficients in The goal of this paper is to reduce L “if and only if it is possible” to , by detecting the parameters of the transformations and The main contribution of this paper is an algorithm that reduces L to if L is obtained from by and The algorithm will extend the ability of the existing software that solves the tri-confluent Heun’s equations to solve second-order differential equations in terms of the tri-confluent Heun’s function.
Example 1.
Given
The algorithm in this paper reduces L to by computing the parameter of the transformations
By use of the command dsolve in Maple software 2021, the functions
are solutions of Therefore, the functions
where are solutions of L.
The importance of this paper lies in the application of the exp-product and the change of variable transformations or choosing certain values of the parameters of a well-known differential equation that could lead to another well-known differential equation. For example, the differential equation is obtained by substituting the quartic potential where and into , which is the one-dimensional Schrödinger equation. The solutions of the equation can be expressed in terms of the tri-confluent Heun’s functions [14]. Also, some forms of the one-dimensional Schrödinger equation can be solved by transforming them to the confluent and bi-confluent Heun equations [15,16,17]. A class of the quantum two-state problem models can be solved in terms of the tri-confluent Heun’s functions, and the class is symmetric for some values of the parameters of the class and the change of variable transformation (some second-order linear differential equations have Lie point symmetries which can be interpreted as the change of variables transformations of the form where a and b are constants) [4,18].
2. Preliminaries
A differential operator of order n with coefficients in takes the form where and It corresponds to the homogeneous linear differential equation
A function is a solution of if
Let , where and are in A point is a singular point of L if c is a pole of or If c is a pole of or it is an irregular singular point of otherwise, it is a regular singular point. The point is a singular point of L if 0 is a singular point of which is obtained from L by applying on L and The local parameter of is if and if
The operator L has two generalized series solutions at of the form
where and such that and for as shown in Definition 1 in [10]. In and are called the generalized exponents of L at and and are called the formal solutions of L at If c is not a singular point of L, then the generalized exponents of L at c are and [19]. At the regular singularities of the generalized exponents are constants [20]. If c is an irregular singular point of then at least one of the generalized exponents of L at c is non-constant [11].
3. The Effects of the Transformations on the Singularities and the Generalized Exponents of the Tri-Confluent Heun’s Operator
Let L be a second-order differential operator with coefficients in such that
where , and f is not constant. In the operator is called a proper pullback of by and the operator L is called a weak pullback of by f (Definition in [9]). If and we can rewrite as follows:
where
and , where The operator is called the normal form of and it is used to remove the singularities of L that are not singularities of
Let be as in To reduce L to we need to compute f and in Algorithm 17 in [12] reduces to by computing the pullback function if Therefore, we need to compute in to have a complete method for reducing weak pullback operators of For this, we study the effects of the transformations on the singularities and the generalized exponents of
The operator has only one singular point, which is and the singular point is irregular. The generalized exponents (we use the command gen_exp in Maple software to compute them) of at ∞ are and and the generalized exponents of at any other point in are 0 and
Lemma 1.
Let be a proper pullback of by and f be not constant.
- If c is a root of f with multiplicity then c is a regular singular point of L, and the generalized exponents of at c are and
- If c is a pole of f of order then c is an irregular singular point of , and the generalized exponents of L at c are and , where
The proof is similar to the proof of Theorem 2 [5].
Let be as in and let be the set of the generalized exponents of at If e is the generalized exponent of at then is the set of the generalized exponents of at c (Lemma 4 in [5]). If where is the set of the generalized exponents of at then the Laurent series of at c is (see Section 3.5 in [21] and Lemma in [22]). Therefore, the set of the generalized exponents of at c is
because the generalized exponent of at c is .
Lemma 2.
Let L be a weak pullback of by Then, the set of the generalized exponents of at a singular point is of the form or
Proof.
Let be the proper pullback of by Then, Since the set of the generalized exponents of at a singular point c is of the form or (Lemma the generalized exponents of at c are of the form or , and it is computed by substituting the generalized exponents of at c in □
4. Reducing a Weak Pullback of the Tri-Confluent Heun’s Operator
Let L be a weak pullback of by f such that
The generalized exponents of at its singularities can be used to compute the parameter of the exp-product transformation that transfers to (Lemmas 1 and 2). If c is a regular singular point of and is the set of the generalized exponents of at the generalized exponents of the operators and at c are 0 and Also, if c is an irregular singular point of and is the set of the generalized exponents of at and the operators and have the same set of generalized exponents at
Let and be the sets of the regular and irregular singularities of respectively. If and is the set of the generalized exponents of at we take if and if (if the constant parts of the generalized exponents of are equal to the constant parts of the generalized exponents at each finite singular point, the constant parts of the generalized exponents of the operators at ∞ are equal (Fuchs’s relation, shown in [21,23])). If and are the set of the generalized exponents of at we take
if and
if The parameter of the exp-product transformation that reduces to is a function of the form
for Therefore, the operator in is equal to one of the operators
for
Notation 1.
Let L be in , where is a field of characteristic Let be the denominator of L such that and is an irreducible in If and are the roots of , the sets of the generalized exponents of L at and are the same. Also, the sets of the generalized exponents of at , and are the same is the trace of over the field extension and it is the sum of and its conjugates. Note that
5. The Algorithm
Given a monic second-order differential operator, where In this section, we state an algorithm that reduces L to if L is a weak pullback of by f and
Example 2.
Given
The commands dsolve and Heunsols in Maple software 2021 do not find solutions for L. However, Algorithm 1 finds that L is a weak pullback of by and finds such that
so the solutions of L can be computed by using the solutions of and the parameters of the transformations. Since the functions
are solutions of the functions
are solutions of L.
| Algorithm 1 Reduce weak proper pullback of tri-confluent Heun’s operator to LHT and find the pullback function f. |
|
6. Conclusions
We have provided an algorithm that reduces second-order differential operators, whose solutions are in the form
where and to the tri-confluent Heun’s operator, The algorithm detects the parameters of the transformations and by using the generalized exponents of the given differential operators. Related work for the other forms of Heun’s equations is in progress.
Funding
This work is supported by Researchers Supporting Project number (RSPD2024R839), King Saud University, Riyadh, Saudi Arabia.
Data Availability Statement
Data are contained within the article.
Acknowledgments
This work is supported by Researchers Supporting Project number (RSPD2024R839), King Saud University, Riyadh, Saudi Arabia.
Conflicts of Interest
The author declares no conflict of interest.
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