The diagonalization method and Brocard's problem
Theophilus Agama

TL;DR
This paper introduces a diagonalization technique for functions and applies it to demonstrate that certain equations related to Brocard's problem have finitely many solutions for fixed parameters.
Contribution
The paper develops a new diagonalization method for functions and uses it to analyze the finiteness of solutions to specific equations connected to Brocard's problem.
Findings
Equations of the form Γ_r(n)+k=m^2 have finitely many solutions for fixed k,r.
The diagonalization method provides a novel approach to studying these equations.
Application to Brocard's problem offers new insights into the solution structure.
Abstract
In this paper, we introduce and develop the method of diagonalization of functions . We apply this method to show that the equations of the form has a finite number of solutions with for any fixed , where denotes the truncated Gamma function.
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Taxonomy
TopicsMathematical functions and polynomials · Iterative Methods for Nonlinear Equations · Analytic and geometric function theory
The diagonalization method and Brocard’s problem
Theophilus Agama
Department of Mathematics, African institute for mathematical sciences, Ghana, Cape-coast
[email protected]/[email protected]
Abstract.
In this paper we introduce and develop the method of diagonalization of functions . We apply this method to show that the equations of the form has a finite number of solutions with for any fixed , where denotes the truncated Gamma function.
1. Introduction and problem statement
Brocard’s problem is an unsolved problem which - roughly speaking - asks if the set of integers whose factorials are unit left translate of a square is either finite or infinite. As the origin of the problem suggests, it was first formulated by the French mathematician Henri Brocard around 1876 and 1885 and subsequently rediscovered by the Indian mathematician Srinivasa Ramanujan in 1913. More formally the problem states
Problem 1.1*.*
Does the equation has integer solutions other than ?
It is widely believed any other solutions to Brocard’s equation - if they exist - must be finite. In fact, Paul Erdős conjectured that no further solution to Brocard’s equation exists. It has also been verified computationally for numbers up to for a possible solution to the equation and within this threshold no further solution to Brocard’s problem has been found [4]. Albeit the problem remains unsolved, a good number of theoretical progress has been made. The first major progress has been made by M. Overholt, who showed that there are only a finite number of integer solutions to the Brocard equation by assuming the ABC conjecture [1]. These result has also been extended to equations with arbitrary shifts of the form [2]. A further extension has been made in [3] where it is shown that the equation , where is a polynomial of degree at least two, also has a finite number of solution by assuming the ABC conjecture. It is important to recognize that Brocard’s equation is equivalent to the equation for , where denotes the Gamma function.
In this paper we apply the method of diagonalization of functions to show that the equations of the form has a finite number of solutions for , where denotes the truncated Gamma function.
2. The notion of diagonalization
In this section we introduce and study the notion of diagonalization of a function. We study this notion together with associated statistics and explore some applications.
Definition 2.1**.**
Let . Then we say is - step diagonalizable at the spot if there exists some such that
[TABLE]
We call the set of all spots such that is - step diagonalizable the - step diagonal of and denote by . We call the set of all truncated spots the scale diagonal. We call the set of all squares
[TABLE]
the -step diagonal squares. We write the length of this diagonal as
[TABLE]
It is easy to see that .
2.1. The -level trace of the diagonal
In this section we introduce the notion of the trace of the diagonal. We launch and examine the following languages.
Definition 2.2**.**
By the level trace of the diagonal , denoted , we mean the partial sum
[TABLE]
Let us suppose that is a function with continuous derivative on for with , then by applying the Stieltjes integration by parts, we can write the level trace of the diagonal in the form
[TABLE]
Theorem 2.3** (Diagonal inequality).**
Let be a function with continuous derivative on for with . If
[TABLE]
for all then the inequality holds
[TABLE]
Proof.
By appealing to the ensuing discussion, we obtain the upper bound
[TABLE]
so that by appealing to the Cauchy-Schwartz inequality, we obtain further the upper bound
[TABLE]
so that by exploiting the bound
[TABLE]
rearranging terms, appealing to the conditions we obtain the inequality
[TABLE]
and the claimed inequality holds immediately. ∎
Theorem 2.3 supplies a useful inequality to study Brocard’s problem, which ask whether there exists a finite number of solutions to the equation . The current development can be leveraged to study a much more general version of the problem. By applying the Diagonal inequality we obtain
Proposition 2.1** (The Diagonal method).**
Let
[TABLE]
for all . If
[TABLE]
then the equation has only a finite number of solutions in for a fixed .
Proof.
Appealing to Theorem 2.3, it follows under the requirements that , and the claim follows immediately since
[TABLE]
with
[TABLE]
∎
Remark 2.4*.*
The upper bound derived in Proposition 2.3 supplies a somewhat useful tool to study the size of the quantity
[TABLE]
and in particular Brocard’s problem which asks if the set of integers whose factorials are unit left translate of a square is either an infinite set or a finite set. It is worth noting that the upper bounds we have derived do not depend on the size of the shift but on the underlying function. This uniformity does suggest the actual size of the quantity
[TABLE]
will mostly be influenced by the function under consideration. In various circumstances the ease with which to verify the underlying conditions will inform the category of bounds to exploit. Now we apply the Diagonal method to study Brocard’s problem.
2.2. Analogous Brocard problem
In this section we apply the diagonalization method to an analogue of Brocard’s problem. We first introduce a certain truncation of the Euler Gamma function.
Definition 2.5** (The truncated Gamma function).**
Let be fixed. Then by the truncated Gamma function , we mean the function
[TABLE]
It follows the Definition of the truncated Gamma function that for then
[TABLE]
It follows similarly that
[TABLE]
since and
[TABLE]
since and so on. The truncated Gamma function for smaller arguments can be obtained in a similar manner.
Lemma 2.6**.**
For all , we have
[TABLE]
Proof.
It follows naturally from the definition of the truncated Gamma function that so that
[TABLE]
and the claimed upper bound is an easy consequence. ∎
Theorem 2.7** (Variational Brocard).**
The equation has finite number of solutions with for a fixed , where is the truncated Euler Gamma function.
Proof.
It suffices to check that
[TABLE]
and that
[TABLE]
with
[TABLE]
so that for any fixed . ∎
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] Overholt, Marius The Diophantine equation n!+ 1= m 2 , Bulletin of the London Mathematical Society, vol. 25(2), Oxford University Press, 1993, pp. 104–104.
- 2[2] Dabrowski, Andrzej On the Diophantine Equation x!+ A= y^ 2 , Nieuw Archief Voor Wiskunde, vol. 14, STICHTING MATHEMATISCH CENTRUM, 1996, 321–324.
- 3[3] Luca, Florian The Diophantine equation P (x)= n! and a result of M. Overholt , Glasnik matematički, vol. 37(2), Hrvatsko matematičko društvo i PMF-Matematički odjel, Sveučilišta u Zagrebu, 2002, 269–273.
- 4[4] Berndt, Bruce C and Galway, William F On the Brocard–Ramanujan Diophantine equation n!+ 1= m 2 , The Ramanujan Journal, vol. 4(1), Springer, 2000, pp. 41–42.
