How To Solve Lim ⁡ N → ∞ ∏ K = 1 N Π Φ ( K ) ∏ K = 2 N ( Π K − 1 ) Φ ( K ) / K \lim_{n \to \infty} \frac{\prod_{k=1}^n \pi^{\varphi(k)}}{\prod_{k=2}^n \left( \pi^k - 1 \right)^{\varphi(k)/k}} Lim N → ∞ ​ ∏ K = 2 N ​ ( Π K − 1 ) Φ ( K ) / K ∏ K = 1 N ​ Π Φ ( K ) ​ ??

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This article delves into the fascinating problem of evaluating the limit of a product involving the totient function. Specifically, we aim to solve the following limit:

limnk=1nπφ(k)k=2n(πk1)φ(k)/k\lim_{n \to \infty} \frac{\prod_{k=1}^n \pi^{\varphi(k)}}{\prod_{k=2}^n \left( \pi^k - 1 \right)^{\varphi(k)/k}}

where φ\varphi denotes the Totient function (also known as Euler's totient function), and φ(1)=1\varphi(1) = 1. This problem elegantly combines concepts from number theory, summation, and the properties of the totient function, making it a rich and rewarding mathematical exploration.

Understanding the Totient Function

Before diving into the solution, let's take a moment to understand the totient function, denoted by φ(n)\varphi(n). The totient function counts the number of positive integers less than or equal to nn that are relatively prime to nn. In other words, φ(n)\varphi(n) gives the number of integers kk in the range 1kn1 \le k \le n for which the greatest common divisor (GCD) of nn and kk is 1. The totient function is a cornerstone of number theory, with applications in cryptography, computer science, and various other fields.

For example, φ(8)=4\varphi(8) = 4 because the numbers 1, 3, 5, and 7 are relatively prime to 8. Similarly, φ(1)=1\varphi(1) = 1, φ(2)=1\varphi(2) = 1, φ(3)=2\varphi(3) = 2, φ(4)=2\varphi(4) = 2, φ(5)=4\varphi(5) = 4, and so on. A crucial property of the totient function is its multiplicativity: if mm and nn are relatively prime, then φ(mn)=φ(m)φ(n)\varphi(mn) = \varphi(m)\varphi(n). This property is instrumental in deriving formulas and simplifying expressions involving the totient function. Another essential identity is the formula for calculating φ(n)\varphi(n) based on the prime factorization of nn. If n=p1k1p2k2prkrn = p_1^{k_1} p_2^{k_2} \cdots p_r^{k_r} is the prime factorization of nn, then

φ(n)=npn(11p)\varphi(n) = n \prod_{p|n} \left( 1 - \frac{1}{p} \right)

where the product is taken over all distinct prime numbers pp that divide nn. This formula provides an efficient way to compute the totient function for any given integer nn. Furthermore, the summation property of the totient function, dnφ(d)=n\sum_{d|n} \varphi(d) = n, is particularly useful in many number-theoretic contexts. Understanding these fundamental properties of the totient function is crucial for tackling problems like the one presented in this article.

Transforming the Limit: The Logarithmic Approach

To tackle the given limit, a common and often effective strategy is to take the natural logarithm of the expression. This transforms the product into a sum, which is generally easier to manipulate. Let's denote the expression inside the limit as LnL_n:

Ln=k=1nπφ(k)k=2n(πk1)φ(k)/kL_n = \frac{\prod_{k=1}^n \pi^{\varphi(k)}}{\prod_{k=2}^n \left( \pi^k - 1 \right)^{\varphi(k)/k}}

Taking the natural logarithm of both sides, we get

ln(Ln)=ln(k=1nπφ(k)k=2n(πk1)φ(k)/k)\ln(L_n) = \ln \left( \frac{\prod_{k=1}^n \pi^{\varphi(k)}}{\prod_{k=2}^n \left( \pi^k - 1 \right)^{\varphi(k)/k}} \right)

Using the properties of logarithms, we can rewrite this as

ln(Ln)=k=1nφ(k)ln(π)k=2nφ(k)kln(πk1)\ln(L_n) = \sum_{k=1}^n \varphi(k) \ln(\pi) - \sum_{k=2}^n \frac{\varphi(k)}{k} \ln(\pi^k - 1)

Now, we can further manipulate the second term by using the logarithm property ln(ab)=ln(a)+ln(b)\ln(ab) = \ln(a) + \ln(b) and the approximation ln(1x)x\ln(1-x) \approx -x for small xx. We can rewrite ln(πk1)\ln(\pi^k - 1) as ln(πk(1πk))=kln(π)+ln(1πk)\ln(\pi^k(1 - \pi^{-k})) = k\ln(\pi) + \ln(1 - \pi^{-k}). Therefore,

ln(Ln)=k=1nφ(k)ln(π)k=2nφ(k)k(kln(π)+ln(1πk))\ln(L_n) = \sum_{k=1}^n \varphi(k) \ln(\pi) - \sum_{k=2}^n \frac{\varphi(k)}{k} \left( k\ln(\pi) + \ln(1 - \pi^{-k}) \right)

Expanding the second summation, we have

ln(Ln)=k=1nφ(k)ln(π)k=2nφ(k)ln(π)k=2nφ(k)kln(1πk)\ln(L_n) = \sum_{k=1}^n \varphi(k) \ln(\pi) - \sum_{k=2}^n \varphi(k) \ln(\pi) - \sum_{k=2}^n \frac{\varphi(k)}{k} \ln(1 - \pi^{-k})

The first two summations almost cancel out. Notice that the first sum includes the term for k=1k=1, which is φ(1)ln(π)=ln(π)\varphi(1)\ln(\pi) = \ln(\pi). Thus, we can rewrite the expression as

ln(Ln)=ln(π)k=2nφ(k)kln(1πk)\ln(L_n) = \ln(\pi) - \sum_{k=2}^n \frac{\varphi(k)}{k} \ln(1 - \pi^{-k})

This transformation has significantly simplified the problem, converting the original limit of a product into a limit of a sum. Now, we can focus on analyzing the behavior of the remaining summation as nn approaches infinity.

Analyzing the Summation and Approximations

We now have the expression

ln(Ln)=ln(π)k=2nφ(k)kln(1πk)\ln(L_n) = \ln(\pi) - \sum_{k=2}^n \frac{\varphi(k)}{k} \ln(1 - \pi^{-k})

To evaluate the limit as nn \to \infty, we need to analyze the behavior of the summation term. Since π>1\pi > 1, the term πk\pi^{-k} approaches 0 as kk increases. This allows us to use the approximation ln(1x)x\ln(1 - x) \approx -x for small xx. In our case, x=πkx = \pi^{-k}, so we have ln(1πk)πk\ln(1 - \pi^{-k}) \approx -\pi^{-k}. Substituting this approximation into the summation, we get

k=2nφ(k)kln(1πk)k=2nφ(k)kπk\sum_{k=2}^n \frac{\varphi(k)}{k} \ln(1 - \pi^{-k}) \approx - \sum_{k=2}^n \frac{\varphi(k)}{k} \pi^{-k}

Thus, our expression for ln(Ln)\ln(L_n) becomes

ln(Ln)ln(π)+k=2nφ(k)kπk\ln(L_n) \approx \ln(\pi) + \sum_{k=2}^n \frac{\varphi(k)}{k} \pi^{-k}

Now, we need to investigate the convergence of the series k=2φ(k)kπk\sum_{k=2}^{\infty} \frac{\varphi(k)}{k} \pi^{-k}. To do this, we can use the fact that φ(k)k\varphi(k) \le k, which implies that φ(k)k1\frac{\varphi(k)}{k} \le 1. Therefore,

φ(k)kπkπk\frac{\varphi(k)}{k} \pi^{-k} \le \pi^{-k}

The series k=2πk\sum_{k=2}^{\infty} \pi^{-k} is a geometric series with a common ratio of 1π\frac{1}{\pi}, which is less than 1 since π>1\pi > 1. Therefore, the geometric series converges. By the comparison test, the series k=2φ(k)kπk\sum_{k=2}^{\infty} \frac{\varphi(k)}{k} \pi^{-k} also converges. Let's denote the sum of this series as SS:

S=k=2φ(k)kπkS = \sum_{k=2}^{\infty} \frac{\varphi(k)}{k} \pi^{-k}

As nn approaches infinity, the summation k=2nφ(k)kπk\sum_{k=2}^n \frac{\varphi(k)}{k} \pi^{-k} approaches SS. Therefore, the limit of ln(Ln)\ln(L_n) as nn approaches infinity is

limnln(Ln)=ln(π)+S\lim_{n \to \infty} \ln(L_n) = \ln(\pi) + S

where SS is the convergent series k=2φ(k)kπk\sum_{k=2}^{\infty} \frac{\varphi(k)}{k} \pi^{-k}.

Evaluating the Limit

To find the original limit, we need to exponentiate both sides of the equation:

limnLn=limneln(Ln)\lim_{n \to \infty} L_n = \lim_{n \to \infty} e^{\ln(L_n)}

Since the exponential function is continuous, we can write

limnLn=elimnln(Ln)\lim_{n \to \infty} L_n = e^{\lim_{n \to \infty} \ln(L_n)}

Substituting the limit of ln(Ln)\ln(L_n) that we found earlier, we get

limnLn=eln(π)+S=eln(π)eS=πeS\lim_{n \to \infty} L_n = e^{\ln(\pi) + S} = e^{\ln(\pi)} e^S = \pi e^S

where S=k=2φ(k)kπkS = \sum_{k=2}^{\infty} \frac{\varphi(k)}{k} \pi^{-k}. Thus, the final answer is

limnk=1nπφ(k)k=2n(πk1)φ(k)/k=πek=2φ(k)kπk\lim_{n \to \infty} \frac{\prod_{k=1}^n \pi^{\varphi(k)}}{\prod_{k=2}^n \left( \pi^k - 1 \right)^{\varphi(k)/k}} = \pi e^{\sum_{k=2}^{\infty} \frac{\varphi(k)}{k} \pi^{-k}}

This result provides a closed-form expression for the limit, expressing it in terms of π\pi and an infinite series involving the totient function. The convergence of the series ensures that the limit is well-defined.

Conclusion

In this article, we successfully evaluated the limit of a product involving the totient function by employing a combination of logarithmic transformations, approximations, and series analysis. The key steps included taking the natural logarithm of the expression, simplifying the resulting summation using logarithmic properties, approximating ln(1x)\ln(1 - x) with x-x for small xx, and analyzing the convergence of the resulting series. The final result expresses the limit in terms of π\pi and an infinite series involving the totient function. This problem showcases the power and elegance of number theory, highlighting the importance of understanding fundamental concepts and employing appropriate techniques to solve complex mathematical problems. The process of converting the product into a sum via logarithms, and then leveraging approximations and series analysis, is a valuable strategy applicable to a wide range of mathematical problems. Furthermore, this exploration reinforces the significance of the totient function in number theory and its applications in various mathematical contexts. This problem not only provides a specific solution but also offers insights into general problem-solving techniques that are invaluable in mathematical research and education.