Analyzing the Setup
Imagine you are standing at the edge of a vast mathematical landscape. You have been given a function h(x)=f(x)−(f(x))2+(f(x))3 and asked to determine its behavior based on the behavior of f(x).
At first glance, this might look like a daunting algebraic mess, but let us peel back the layers together. This problem is not about brute force; it is about understanding the elegant relationship between a function and its composition.
The Derivative
Our Compass
To understand if a function is increasing or decreasing, we must look at its rate of change. We need the derivative, h′(x).
Applying the derivative operator to our definition, we get:
h′(x)=dxd[f(x)−(f(x))2+(f(x))3]
This is where the Chain Rule becomes our best friend. When we differentiate each term, we must remember to multiply by the derivative of the inner function, f′(x).
The result is:
h′(x)=f′(x)−2f(x)f′(x)+3(f(x))2f′(x)
The Power of Factoring
Now, look closely at that expression. Do you see the hidden pattern? The term f′(x) is common to every single part of the equation.
By factoring it out, we transform our expression into:
h′(x)=f′(x)[3(f(x))2−2f(x)+1]
This is a pivotal moment. We have separated the derivative into two distinct parts: the rate of change of the original function, f′(x), and a quadratic expression in terms of f(x). Let us define this quadratic as Q(y)=3y2−2y+1, where y=f(x).
The Quadratic Mystery
The behavior of h′(x) now hinges entirely on the sign of Q(y). Can this quadratic ever be negative?
To find out, we calculate the discriminant D=b2−4ac. With a=3, b=−2, and c=1, we find:
Because the discriminant is negative and the leading coefficient a=3 is positive, the parabola Q(y) never touches the horizontal axis and stays strictly above it. This means Q(y)>0 for all real values of y.
The Final Synthesis
We have reached the climax of our journey. We know that h′(x)=f′(x)⋅Q(f(x)).
Since Q(f(x)) is always positive, it acts like a positive multiplier that does not change the sign of f′(x). Therefore, the sign of h′(x) is identical to the sign of f′(x).
If f(x) is increasing, f′(x)>0, which forces h′(x)>0, meaning h(x) is also increasing. They move in perfect harmony.
We have successfully navigated the complexity and found that h is increasing whenever f is increasing. Mathematics is not just about solving for x; it is about finding the beautiful, underlying connections that govern the behavior of functions.