Analyzing the Setup
Imagine you are standing on a gentle, rolling hill. You start at point x=0 and end at point x=1, and the problem states that you are at the exact same elevation at both ends.
This is the physical reality of our function f(x) where f(0)=f(1). This condition serves as the foundation for our exploration.
The Rolle's Theorem Spark
When a function starts and ends at the same height, it must have turned around somewhere. If you climb a hill and then descend to the same level, there must be a peak or a valley where your path is perfectly flat for an instant.
This is the intuitive heart of Rolle's Theorem. Since our function f(x) is continuous and differentiable, there must exist at least one point c in the interval (0,1) where the slope is zero.
Mathematically, we express this as:
f′(c)=0
This point c acts as our anchor, providing a reference point amidst the variables.
The LMVT Bridge
To understand the slope at any arbitrary point x, we connect it to our known slope at c using the Lagrange Mean Value Theorem (LMVT). We apply this theorem not to f(x), but to the derivative function g(x)=f′(x).
By applying LMVT to f′(x) on the interval between c and x, we analyze the rate of change of the slope itself. The theorem guarantees an intermediate point ξ between c and x such that:
The Elegance of Substitution
This equation is the key to the derivation. Substituting the known value f′(c)=0 into our LMVT equation yields:
This simplifies beautifully to:
We have now expressed the first derivative f′(x) as the product of the second derivative f′′(ξ) and the distance (x−c).
The Final Bound
The problem provides the constraint ∣f′′(x)∣<1 for all x. This implies that for any ξ, the magnitude ∣f′′(ξ)∣ is strictly less than 1.
Furthermore, since both x and c reside in the interval [0,1], the distance ∣x−c∣ must also be strictly less than 1. Taking the absolute value of our derived equation, we obtain:
Since both factors on the right side are strictly less than 1, their product must also be strictly less than 1. Thus, we conclude:
∣f′(x)∣<1
This result demonstrates how constraints on the curvature of a function dictate the limits of its slope.