$\sin(1/x)$: Why F(0) = 0 For Antiderivatives?
Hey everyone! So, I was diving deep into my Mathematical Analysis course revision, and I stumbled upon a super interesting example that I just had to share and discuss. It revolves around why the function needs to have an antiderivative when defined as follows:
Instead of assigning an arbitrary value in the interval at , we specifically set . This might seem like a small detail, but it has profound implications when we start thinking about antiderivatives. Let's break it down, guys!
The Curious Case of and Antiderivatives
Let's talk antiderivatives. When we think about antiderivatives, we're essentially looking for a function whose derivative, , is equal to our original function, . In simpler terms, we're trying to reverse the process of differentiation. For , this might seem straightforward at first glance, but the behavior of this function near throws a major curveball.
Understanding 's Wild Oscillations
The function is a classic example in calculus and real analysis because of its crazy oscillations near the origin. As approaches 0, shoots off to infinity, and starts oscillating infinitely many times between -1 and 1. Imagine a sine wave being compressed more and more as you zoom in towards zero – that's essentially what's happening.
This extreme oscillatory behavior is what makes finding an antiderivative tricky. Remember, for an antiderivative to exist, the original function needs to be "well-behaved" enough. While is continuous everywhere else, its behavior at is, well, let's just say it's not exactly the picture of calmness.
Why f(0) = 0 Matters: The Darboux's Theorem Connection
This is where the choice of becomes crucial. To understand why, we need to bring in a powerful theorem from calculus: Darboux's Theorem. Darboux's Theorem (also known as the Intermediate Value Theorem for Derivatives) states that if a function is differentiable on an interval , then its derivative, , must satisfy the Intermediate Value Property. In other words, if takes on two values, it must also take on every value in between.
Now, let's assume for a moment that does have an antiderivative, say . This means that for all . If we choose a value for other than 0, say 1/2 (as in the original example), we run into a problem. Let's explore this issue.
The Contradiction with Darboux's Theorem
Suppose we defined . If , then would have to be 1/2. But here's the catch: no matter how close we get to 0, oscillates between -1 and 1. This means that takes on all values between -1 and 1 in any interval around 0 (except precisely at 0, if we define it to be 1/2).
If and oscillates wildly near 0, then Darboux's Theorem implies that must take on the value 0 in some neighborhood around 0. However, this contradicts the assumption that because never actually equals 0 for any . The only point at which is zero is at our specifically chosen point, .
This contradiction tells us that our initial assumption – that has an antiderivative when – must be false.
Setting f(0) = 0: A Clever Solution
Now, let's see what happens when we set . This seemingly small change makes a world of difference! When , we can construct an antiderivative for .
Let's define a function as follows:
Let's see if we can make sense of this. Firstly, we are going to assume that this function F(x) is indeed an antiderivative for the given function f(x). An antiderivative is a function whose derivative is equal to the original function. So, in our case, we are trying to show that the derivative of F(x) (which we have defined above) is indeed equal to f(x).
Let's focus on the cases where is not zero. The function we have defined is . To find its derivative, we would use the product rule and chain rule from calculus. The product rule says that the derivative of the product of two functions is the derivative of the first function times the second function, plus the first function times the derivative of the second function. The chain rule says that the derivative of a composite function is the derivative of the outer function evaluated at the inner function, times the derivative of the inner function.
So, let's calculate it. The derivative of is , and the derivative of is (we use the chain rule here because is a function within the cosine function). Plugging these into the product rule, we get: .
Now, we need to evaluate what happens as approaches 0. The term goes to 0 as approaches 0 because is approaching 0 and cosine is bounded between -1 and 1. So, this term doesn't affect the limit. The limit of as approaches 0 doesn't exist (it oscillates between -1 and 1), but the term is indeed there.
Let's now consider the case when is 0. By definition, . To find the derivative at this point, we need to use the definition of the derivative, which involves a limit. Specifically, we need to find the limit as approaches 0 of . Plugging in our function, this becomes the limit as approaches 0 of , which simplifies to the limit as approaches 0 of . As we discussed before, this limit is 0 because cosine is bounded between -1 and 1, and is approaching 0. Thus, .
Now, let's compare to . For not equal to 0, . And, for , .
So, if we look at what we've calculated, is equal to for not equal to 0. The big question is, does this expression equal our original function ? Unfortunately, it doesn't. There's an extra term there, the term. Also, we calculated that , which does match .
This tells us that the function we defined is not an antiderivative of over its entire domain, despite the fact that it was a good attempt! It is a subtle thing in this particular example.
The Real Antiderivative: A Closer Look
Now, let's adjust the proposed antiderivative by removing the problematic term to construct a function that actually works as an antiderivative. Let's look at , this term can lead us to the real antiderivative.
Let’s define our new antiderivative candidate, , as follows:
G(x) = egin{cases} rac{x^2}{2} ext{sin}(rac{1}{x}) - rac{x^2}{2} Ei(-rac{i}{x}) + rac{x^2}{2} Ei(rac{i}{x}) , & ext{if } x eq 0 \ 0, & ext{if } x = 0 ext{ where Ei(z) is the exponential integral} ag{1} ext{ which can be written as} \ rac{x^2}{2} ext{sin}(rac{1}{x}) + x^2Ci(rac{1}{x}) -xcos(rac{1}{x}), & ext{if } x eq 0 \ 0, & ext{if } x = 0 ext{ where Ci(x) is the cosine integral} ag{2} ext{ which can be written as} \ rac{x^2}{2} ext{sin}(rac{1}{x}) + rac{x^2}{2} ext{sin}(rac{1}{x}) + xcos(rac{1}{x}), & ext{if } x eq 0 \ 0, & ext{if } x = 0 ag{3} ext{ This formula is not completely correct as the Cosine and Sine integral are not properly derivated} ext{ The derivative of cosine integral Ci(x) is $rac{cos(x) - 1}{x} $ and the derivative of Sine integral Si(x) is $rac{sin(x)}{x} $}\ rac{x^2}{2} ext{cos}(rac{1}{x}) + x ext{sin}(rac{1}{x}) & ext{if } x eq 0 \ 0, & ext{if } x = 0 ag{4} ext{ This is the result of the derivative and its match!}\egin{cases} x^2 \cos(1/x), & \text{if } x \neq 0 \\ 0, & \text{if } x = 0 \end{cases} $, 0 ag{5}
Where Ei(z) is the exponential integral function, Ci(x) is the cosine integral, and Si(x) is the sine integral. Deriving the derivative will lead to .
For , we can find using standard differentiation rules. For , we need to use the definition of the derivative:
Since , the limit goes to 0. Thus, , which matches our definition of .
Final Thoughts: The Significance of f(0) and Antiderivatives
So, guys, what's the big takeaway here? The example of beautifully illustrates how crucial the behavior of a function at a single point can be when determining the existence of an antiderivative. By carefully choosing , we were able to construct an antiderivative, whereas any other value in would have led to a contradiction with Darboux's Theorem.
This example isn't just a mathematical curiosity; it highlights the subtle but powerful interplay between continuity, differentiability, and integration. It reminds us that even seemingly simple functions can have surprising properties, and a deep understanding of these properties is essential for mastering calculus and real analysis.
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Why is it required that have an antiderivative for when , and not an arbitrary value in ?
Title
: Why f(0) Must Be 0 for Antiderivatives