Analyzing the Setup
The hiker's altitude is defined by the function f(x)=max{sint:0≤t≤x}. This function acts as a "memory" of the maximum value attained by the sine function over the interval [0,x].
To understand the behavior of f(x), we must partition the domain into distinct phases based on the properties of the sine function.
Phase 1
The Ascent
For the interval 0≤x≤2π, the sine function is strictly increasing. Because the hiker is constantly reaching new heights, the running maximum is always equal to the current altitude.
Thus, for
0≤x≤2π, we have:
f(x)=sinx
Phase 2
The Plateau
As x moves from 2π to π, the sine function begins to descend. However, the device only updates when a new record is set.
Since the hiker reached a maximum altitude of
1 at
x=2π, and the altitude decreases thereafter, the record remains fixed. Therefore, for
2π<x≤π:
f(x)=1
Phase 3
The New Path
For x>π, the function definition transitions to f(x)=2+cosx. We must verify the continuity and differentiability at the transition points to ensure the path is seamless.
At x=2π, the left-hand limit is sin(2π)=1, and the right-hand limit is 1. Since these match, the function is continuous.
For differentiability at x=2π, the left-hand derivative is cos(2π)=0, and the right-hand derivative of the constant 1 is 0. The function is perfectly smooth at this point.
Phase 4
The Final Transition
At
x=π, we check the continuity again. The left-hand limit is
1, and the right-hand limit is:
2+cos(π)=2−1=1
Because the limits match, the function is continuous at x=π.
To check differentiability, we compare the derivatives. The left-hand derivative is
0, and the right-hand derivative is the derivative of
2+cosx, which is
−sinx. At
x=π:
−sin(π)=0
Since the derivatives match, the transition is seamless.
Conclusion
We have analyzed the entire journey of the hiker. From the initial climb to the plateau and the final path, the function f(x) remains continuous and differentiable.
The function f(x) is differentiable everywhere in (0,∞). This problem demonstrates that breaking a complex function into its geometric components allows the underlying calculus to reveal its inherent elegance.