The Anatomy of a Composite Function
Imagine you are standing before a complex machine. It has gears within gears, and levers that trigger other levers. In mathematics, we call this a composite function.
The problem at hand, g(x)=[f(2f(x)+2)]2, is exactly that—a mathematical machine. When you first look at it, it is easy to feel intimidated.
But remember, every complex machine is just a collection of simple parts working in harmony. Our goal is to find the rate of change, g′(0), which tells us how the output of this machine shifts when we nudge the input x at the zero mark.
The Pipeline of Derivatives
To solve this, we use the Chain Rule, which I like to think of as a relay race. Each function in the composition is a runner, and the derivative is the baton being passed from one to the next.
We start with the outermost runner: the square function. The derivative of u2 is 2u. So, our first step is to write:
g′(x)=2[f(2f(x)+2)]⋅dxd[f(2f(x)+2)]
We have successfully passed the baton!
Now, we look at the next runner: the function f with the inner argument v=2f(x)+2. The derivative of f(v) is f′(v)⋅v′.
This gives us the next piece of our puzzle: f′(2f(x)+2)⋅dxd(2f(x)+2). Finally, we reach the innermost runner, the linear expression 2f(x)+2. Its derivative is simply 2f′(x).
The Grand Assembly
Now, we bring all our runners together. Multiplying these pieces, we get the complete expression for the derivative:
g′(x)=2[f(2f(x)+2)]⋅f′(2f(x)+2)⋅2f′(x)
Simplifying the constants, we get:
g′(x)=4f(2f(x)+2)⋅f′(2f(x)+2)⋅f′(x)
This is the master formula for our machine. It looks intimidating, but notice how structured it is. It is just a product of the function's value, its derivative at the transformed point, and the derivative at the original point.
The Moment of Clarity
Now, we evaluate this at x=0. We are given f(0)=−1 and f′(0)=1.
Let's look at that inner argument: 2f(0)+2. Substituting f(0)=−1, we get 2(−1)+2=0.
This is the moment of magic! The entire complex nested argument collapses into zero. Our expression becomes:
Substituting the known values, we have 4⋅(−1)⋅1⋅1, which equals −4.
The machine has been decoded, and the final answer is −4. You see, the complexity was just a veil; by breaking it down step by step, we found the elegant simplicity hidden underneath.