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We discuss the antiderivative at a conceptual level before we dive into the mechanics.
We’ve spent a lot of time now developing the theory of derivatives, and then looking at a number of applications. But
there is an obvious question we should consider; can we reverse this process? Even if we could, would that be
useful?
Video Lecture
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Let’s consider the position function . We know that, using derivatives, we can get a function for velocity, , and a function for
acceleration, . But what if we started with the acceleration function?
If all we know is that the acceleration is , then we could try and deduce what velocity function that acceleration came from. Some
consideration might lead one to realize that we get constant functions like after taking the derivative of a line. After all, the
acceleration being a constant is telling us that the slope of the velocity graph should be for every point - thus it is a line with a
slope of , i.e. .
1 : But wait, this doesn’t quite match our previous velocity function, which was . Why not?
Because we did something
wrong when figuring out the velocity function from the acceleration function.Because there is a flaw in our logic, not every
constant function comes from a line.Because the derivative of a constant is zero - which makes it difficult to know if there was a
constant in the velocity function when all you have is the acceleration function.Uh... something, something ... math reasons?
Indeed, since taking a derivative of a constant results in zero, there is no way to tell what the constant in the velocity
function was before a derivative converted it to the acceleration function. The difference between the we deduced
from , and the real we started with, is that one of them had a constant of and one of them had a constant of
.
This is a demonstration of one of the flaws in trying to reverse the process of differentiation. Indeed, although we can kind of
reverse the process of differentiation, we can’t quite do it perfectly. Some information is lost when we take a derivative, like in this
example the value of the constant added to was lost when we took a derivative to get . This lost information is often referred to as
initial conditions and we will see more about this (including why it has that name), and how to handle this, in future
segments.
When we reverse the process of differentiation to get a function whose derivative is the original function, we call this new function
an antiderivative. Explicitly:
Antiderivative Fix as some function. Then, if is a function such that , then we call an antiderivative of .
So we’ve seen that the process of taking a derivative can be reversed, but not fully. The process of taking a derivative is a
destructive process - obliterating some initial condition information. As a result, reversing this process inevitably runs into the
problem that any answer is then missing that initial condition information... unless we can get it from somewhere
else.