Analyzing the Setup
Imagine you are standing on a mountain range defined by a mathematical function. You are looking for the absolute lowest point, the valley floor.
In this problem, our landscape is split into two distinct regions, joined at the coordinate x=1. Our goal is to ensure that this junction, x=1, is the absolute lowest point of the entire terrain.
Let us embark on this journey to find the values of b that make this possible.
The Right-Hand Slope
Let us first look at the right side of our landscape, where 1≤x≤3. Here, the function is defined as f(x)=2x−3.
If we plug in x=1, we find f(1)=2(1)−3=−1.
Because the slope is 2, which is positive, this path is constantly climbing as we move to the right. This means that for any x>1, the value of f(x) will always be greater than −1. The right side is already 'safe'—it will never dip below our target minimum.
The Left-Hand Descent
Now, turn your gaze to the left, where 0≤x<1. Here, the function is f(x)=−x3+C, where C is defined as:
This is a cubic function, but notice the negative sign in front of the x3. The derivative is −3x2, which is always non-positive.
This tells us that as we walk from x=0 toward x=1, we are constantly walking downhill. The lowest point on this segment will be the one closest to x=1. Mathematically, we look at the limit:
The Condition of Equilibrium
For x=1 to be the global minimum, the entire left branch must not dip below the value we found at the junction. We require that the 'floor' of the left branch, which is −1+C, must be greater than or equal to the value at the junction, f(1)=−1.
Setting up the inequality:
This simplifies beautifully to C≥0. The complexity of the constant C suddenly collapses into a simple requirement: the rational expression must be non-negative.
The Algebraic Resolution
Now we face the expression:
We must factorize this to see the roots. The numerator b3−b2+b−1 can be grouped as b2(b−1)+1(b−1), which gives us (b−1)(b2+1). The denominator is a classic quadratic: (b+1)(b+2).
Our inequality becomes:
Since b2+1 is always positive for any real b, we can safely divide it out, leaving us with the core of the problem:
The Final Victory
Using the Wavy Curve Method, we plot our critical points at b=−2,−1,1.
Testing the intervals, we find that the expression is positive in the interval (−2,−1) and in the interval [1,∞). We exclude −2 and −1 because they make the denominator zero, but we include 1 because the numerator being zero is perfectly acceptable.
Thus, we arrive at our solution: b∈(−2,−1)∪[1,∞).
You have successfully navigated the landscape, constrained the variables, and found the exact conditions for the minimum. This is the power of calculus—turning a complex, piecewise mystery into a clear, logical path.