Monotonic Function Analysis
A function is monotonic on an interval when it moves in a single direction across that interval — either always rising or always falling, never doubling back. Derivatives give us a clean, mechanical way to detect this, which is why monotonicity is one of the first applications of the derivative.
Increasing, Decreasing, Monotonic
On an interval I, a function f is:
- increasing if x1<x2⇒f(x1)≤f(x2),
- strictly increasing if x1<x2⇒f(x1)<f(x2),
- decreasing if x1<x2⇒f(x1)≥f(x2),
- strictly decreasing if x1<x2⇒f(x1)>f(x2).
A function that is either increasing throughout I or decreasing throughout I is called monotonic on I.
The Derivative Test
The slope of the tangent tells you the direction of travel. If f is differentiable on an open interval I:
f′(x)>0 on I⟹f is strictly increasing on I
f′(x)<0 on I⟹f is strictly decreasing on I
f′(x)=0 on I⟹f is constant on I
The idea is intuitive: a positive slope means the graph climbs as you move right, a negative slope means it falls.
How to Analyse Monotonicity
- Compute f′(x).
- Solve f′(x)=0 (and note where f′ is undefined). These critical points split the domain into intervals.
- Test the sign of f′ in each interval.
- Read off where f increases (f′>0) and decreases (f′<0).
Example. For f(x)=x2−4x+1, f′(x)=2x−4. So f′(x)<0 for x<2 and f′(x)>0 for x>2: the function decreases on (−∞,2) and increases on (2,∞). …