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Exploring Integer Solutions: A Mathematical Journey

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Chapter 1: Introduction to the Problem

Recently, a reader posed a thought-provoking mathematical challenge related to one of my earlier articles. The task is to identify all integers x>3 and y>0 that satisfy the equation:

Mathematical equation representation

After several months, I decided to tackle this problem and have come up with three distinct solutions. I believe there are potentially more methods, and I encourage others to share their findings. The solutions I present range from simple to complex, illustrating the significance of foundational number theory knowledge.

Section 1.1: Solution 1 – Applying Fermat’s Little Theorem

Upon analyzing the problem, my first instinct was to utilize Fermat’s Little Theorem (FLT). Recall that FLT states that for a prime number p and an integer a that is not divisible by p (meaning a and p are coprime), the following holds:

Fermat's Little Theorem formula

The only limitation in using FLT arises when y is a multiple of 17. However, this scenario is impossible because it implies that 2^x would also be a multiple of 17, which is clearly not the case. We will demonstrate this explicitly in our second solution.

Applying FLT, we derive:

Result from applying Fermat's theorem

For those less familiar with number theory, the calculations above may seem a bit perplexing. This confusion is understandable, as we employed modular arithmetic, a fundamental concept encountered early in number theory studies. The key takeaway here is that we can swiftly conclude that x=2k for some integer k. In the next solution, we will bypass modular arithmetic and work a bit harder to reach the same conclusion.

Now, returning to the original equation, we can rewrite it as follows:

Rewritten original equation

Given that 17 is prime, we can ascertain that:

Conclusion from prime number analysis

Consequently, we can conclude that our equation yields the unique solution (x,y) = (6,3).

Section 1.2: Solution 2 – Remainder Comparisons

In this approach, we again utilize modular arithmetic, but this time we will focus on comparing remainders rather than applying FLT directly. We start with the observation that:

Initial observation for remainder calculation

Next, we compute the remainders for both sides of the equation to determine when they can be equal:

Remainders from both sides of the equation Further breakdown of remainders

By examining the remainders, we can clarify which values satisfy our equation:

Values satisfying the equation

It is crucial to note that only every second value from the left side's remainders matches those from the right side. Therefore, a solution is only possible if x is even, confirming that x=2k for some integer k, just as found in Solution 1. We can then complete this solution similarly to the previous one.

Chapter 2: Solution 3 – Basic Algebra Approach

For this final solution, we will employ basic algebra. There are various ways to approach this, but I will illustrate my method through the properties of even and odd number multiplication.

To begin, we can re-express our equation as follows:

Rewritten equation using algebra

From here, we can deduce that y²-1 and y²+1 are both even, and since they share a common factor of 2, one must be divisible by 8 while the other is divisible by 2. Additionally, the odd factor on the left side must divide either y²-1 or y²+1, leading us to four cases to explore.

Case 1:

Case 1 evaluation

This case yields no solutions.

Case 2:

Case 2 evaluation

Similarly, this case does not provide a valid solution.

Case 3:

Case 3 evaluation

Again, no solutions arise from this case.

Case 4:

Case 4 evaluation

Thus, we arrive at the same unique solution (x,y) = (6,3), confirming our previous findings. While this solution required the least technical expertise, it demanded a clever application of basic principles.

If anyone has alternative intriguing solutions, I would be delighted to hear them! Thank you for reading, and I extend my gratitude to Bogumił Kamiński for proposing this captivating problem.

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