Limit Of Integral: Proving Convergence To Pi

by Elias Adebayo 45 views

Hey guys! Let's dive into a fascinating problem from real analysis. We're going to explore how to prove that the integral βˆ«βˆ’11arccos⁑∣arctan⁑x∣αdx\int_{-1}^1\arccos |\arctan x|^\alpha dx converges to Ο€\pi as Ξ±\alpha approaches infinity. This is a cool example that combines trigonometric functions, absolute values, and limits, so buckle up!

Understanding the Problem

Before we jump into the solution, let's make sure we understand what the problem is asking. We have an integral where the integrand is arccos⁑(∣arctan⁑x∣α)\arccos(|\arctan x|^\alpha), and we're integrating with respect to xx from -1 to 1. The parameter Ξ±\alpha is a real number, and we want to see what happens to the value of this integral as Ξ±\alpha gets incredibly large. Our goal is to show that the integral's value gets closer and closer to Ο€\pi. To really break this down, we need to consider the behavior of each part of the integrand as Ξ±\alpha changes.

  • arctan⁑x\arctan x: This is the inverse tangent function. As xx varies from -1 to 1, arctan⁑x\arctan x varies from βˆ’Ο€4-\frac{\pi}{4} to Ο€4\frac{\pi}{4}.
  • ∣arctan⁑x∣|\arctan x|: Taking the absolute value means we're only considering the magnitude, so ∣arctan⁑x∣|\arctan x| ranges from 0 to Ο€4\frac{\pi}{4}. This part is crucial because it ensures we're dealing with non-negative values.
  • ∣arctan⁑x∣α|\arctan x|^\alpha: This is where Ξ±\alpha comes into play. When Ξ±\alpha is large, raising a number between 0 and 1 to the power of Ξ±\alpha makes it much smaller. This shrinking effect is key to understanding the limit.
  • arccos⁑(∣arctan⁑x∣α)\arccos(|\arctan x|^\alpha): Finally, we take the arccosine. Remember that arccos⁑\arccos is the inverse cosine function, and it's defined for values between -1 and 1. As ∣arctan⁑x∣α|\arctan x|^\alpha gets closer to 0, arccos⁑(∣arctan⁑x∣α)\arccos(|\arctan x|^\alpha) gets closer to arccos⁑(0)\arccos(0), which is Ο€2\frac{\pi}{2}. However, our main focus is on understanding how this whole expression behaves within the integral as Ξ±\alpha tends to infinity. We need to see how this convergence to Ο€\pi occurs across the interval of integration, not just at a single point. The interplay between the shrinking magnitude of ∣arctan⁑x∣α|\arctan x|^\alpha and the behavior of the arccosine function is the heart of the problem. By carefully analyzing these components, we can build a rigorous argument to prove the limit.

Strategy for the Proof

Okay, so how do we actually prove this? Here's the plan:

  1. Pointwise Limit: First, we'll look at what happens to the integrand, arccos⁑(∣arctan⁑x∣α)\arccos(|\arctan x|^\alpha), for a fixed xx as Ξ±β†’βˆž\alpha \to \infty. We'll find the pointwise limit of the integrand.
  2. Dominated Convergence Theorem (DCT): To justify bringing the limit inside the integral, we'll use the Dominated Convergence Theorem. This theorem is a powerful tool in real analysis that allows us to interchange limits and integrals under certain conditions. We'll need to find a function that "dominates" our integrand, meaning it's always greater than or equal to the absolute value of our integrand, and is also integrable.
  3. Evaluate the Limit of the Integral: Once we've justified using the DCT, we can take the limit inside the integral and evaluate the resulting integral, which should give us Ο€\pi.

Step 1: Pointwise Limit

Let's find the pointwise limit of f(x,Ξ±)=arccos⁑(∣arctan⁑x∣α)f(x, \alpha) = \arccos(|\arctan x|^\alpha) as Ξ±β†’βˆž\alpha \to \infty. We need to consider different cases for xx:

  • Case 1: x=0x = 0

    If x=0x = 0, then arctan⁑x=0\arctan x = 0, so ∣arctan⁑x∣α=0Ξ±=0|\arctan x|^\alpha = 0^\alpha = 0 for any Ξ±>0\alpha > 0. Thus, arccos⁑(∣arctan⁑0∣α)=arccos⁑(0)=Ο€2\arccos(|\arctan 0|^\alpha) = \arccos(0) = \frac{\pi}{2}. This is a straightforward case where the function value is constant regardless of Ξ±\alpha.

  • Case 2: x∈(βˆ’1,0)βˆͺ(0,1)x \in (-1, 0) \cup (0, 1)

    For any other xx in the interval (βˆ’1,1)(-1, 1) but not equal to 0, we have 0<∣arctan⁑x∣<Ο€4<10 < |\arctan x| < \frac{\pi}{4} < 1. As Ξ±β†’βˆž\alpha \to \infty, ∣arctan⁑x∣α|\arctan x|^\alpha will approach 0 because we're raising a number between 0 and 1 to a very large power. Therefore, limβ‘Ξ±β†’βˆžβˆ£arctan⁑x∣α=0\lim_{\alpha \to \infty} |\arctan x|^\alpha = 0. Consequently, limβ‘Ξ±β†’βˆžarccos⁑(∣arctan⁑x∣α)=arccos⁑(0)=Ο€2\lim_{\alpha \to \infty} \arccos(|\arctan x|^\alpha) = \arccos(0) = \frac{\pi}{2}. This is the crucial part where we see the integrand converging to a constant value for almost all xx in the interval. The rate at which ∣arctan⁑x∣α|\arctan x|^\alpha approaches 0 depends on both xx and Ξ±\alpha, but the limit is always 0 as long as 0<∣arctan⁑x∣<10 < |\arctan x| < 1.

So, the pointwise limit is Ο€2\frac{\pi}{2} for all xx in (βˆ’1,1)(-1, 1). Mathematically, we can write this as:

limβ‘Ξ±β†’βˆžarccos⁑(∣arctan⁑x∣α)={Ο€2,ifΒ x∈(βˆ’1,1)\lim_{\alpha \to \infty} \arccos(|\arctan x|^\alpha) = \begin{cases} \frac{\pi}{2}, & \text{if } x \in (-1, 1) \\ \end{cases}

Step 2: Dominated Convergence Theorem (DCT)

Now, let's use the Dominated Convergence Theorem (DCT). The DCT states that if we have a sequence of functions fn(x)f_n(x) that converge pointwise to a function f(x)f(x), and if there exists an integrable function g(x)g(x) such that ∣fn(x)βˆ£β‰€g(x)|f_n(x)| \leq g(x) for all nn and xx, then we can interchange the limit and the integral:

lim⁑nβ†’βˆžβˆ«fn(x)dx=∫lim⁑nβ†’βˆžfn(x)dx\lim_{n \to \infty} \int f_n(x) dx = \int \lim_{n \to \infty} f_n(x) dx

In our case, f(x,Ξ±)=arccos⁑(∣arctan⁑x∣α)f(x, \alpha) = \arccos(|\arctan x|^\alpha). We need to find a dominating function g(x)g(x) such that ∣arccos⁑(∣arctan⁑x∣α)βˆ£β‰€g(x)|\arccos(|\arctan x|^\alpha)| \leq g(x) and βˆ«βˆ’11g(x)dx\int_{-1}^1 g(x) dx is finite.

Since the range of arccos⁑(u)\arccos(u) is [0,Ο€][0, \pi], we know that 0≀arccos⁑(∣arctan⁑x∣α)≀π0 \leq \arccos(|\arctan x|^\alpha) \leq \pi. So, we can choose g(x)=Ο€g(x) = \pi as our dominating function. This works because the arccosine function always returns a value between 0 and Ο€\pi, regardless of the input. Choosing a constant function like Ο€\pi simplifies the domination argument significantly.

Now, we need to check that g(x)g(x) is integrable over the interval [βˆ’1,1][-1, 1]. This is easy since it's just a constant function:

βˆ«βˆ’11g(x)dx=βˆ«βˆ’11Ο€dx=Ο€[x]βˆ’11=Ο€(1βˆ’(βˆ’1))=2Ο€\int_{-1}^1 g(x) dx = \int_{-1}^1 \pi dx = \pi [x]_{-1}^1 = \pi(1 - (-1)) = 2\pi

Since 2Ο€2\pi is finite, g(x)=Ο€g(x) = \pi is indeed integrable. We've successfully found a dominating function that meets the conditions of the DCT. This is a crucial step because it rigorously justifies our next move of interchanging the limit and the integral.

Step 3: Evaluate the Limit of the Integral

Now that we've satisfied the conditions of the Dominated Convergence Theorem, we can interchange the limit and the integral:

limβ‘Ξ±β†’βˆžβˆ«βˆ’11arccos⁑(∣arctan⁑x∣α)dx=βˆ«βˆ’11limβ‘Ξ±β†’βˆžarccos⁑(∣arctan⁑x∣α)dx\lim_{\alpha \to \infty} \int_{-1}^1 \arccos(|\arctan x|^\alpha) dx = \int_{-1}^1 \lim_{\alpha \to \infty} \arccos(|\arctan x|^\alpha) dx

We already found the pointwise limit in Step 1, which is Ο€2\frac{\pi}{2} for x∈(βˆ’1,1)x \in (-1, 1). So, we can substitute this into the integral:

βˆ«βˆ’11Ο€2dx=Ο€2βˆ«βˆ’11dx=Ο€2[x]βˆ’11=Ο€2(1βˆ’(βˆ’1))=Ο€2(2)=Ο€\int_{-1}^1 \frac{\pi}{2} dx = \frac{\pi}{2} \int_{-1}^1 dx = \frac{\pi}{2} [x]_{-1}^1 = \frac{\pi}{2} (1 - (-1)) = \frac{\pi}{2} (2) = \pi

And there you have it! We've shown that:

limβ‘Ξ±β†’βˆžβˆ«βˆ’11arccos⁑(∣arctan⁑x∣α)dx=Ο€\lim_{\alpha \to \infty} \int_{-1}^1 \arccos(|\arctan x|^\alpha) dx = \pi

Conclusion

We successfully proved that the integral βˆ«βˆ’11arccos⁑(∣arctan⁑x∣α)dx\int_{-1}^1 \arccos(|\arctan x|^\alpha) dx converges to Ο€\pi as Ξ±\alpha approaches infinity. We did this by first finding the pointwise limit of the integrand, then using the Dominated Convergence Theorem to justify interchanging the limit and the integral, and finally evaluating the resulting integral. This problem highlights the power of real analysis tools like the DCT and the importance of understanding the behavior of functions as parameters change. Great job, guys! This was a fun one to tackle together.