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Mathematics and Statistics · Ch 4 — Applications of Derivatives

Increasing and Decreasing Functions

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Increasing and Decreasing Functions

Once we can differentiate a function, the derivative becomes a powerful tool for describing how the function behaves — whether its values are rising or falling, where it turns, and where it reaches a largest or smallest value. These questions matter directly in commerce, where a cost, a revenue or a profit is a function of the quantity produced, and a manager wants to know exactly where that quantity should be set.

The first and most basic behaviour is whether a function is increasing or decreasing over an interval.

A function ff is said to be increasing on an interval II if, whenever x1<x2x_1 < x_2 in II, we have f(x1)≤f(x2)f(x_1) \le f(x_2) — larger inputs give larger (or equal) outputs. It is strictly increasing if x1<x2⇒f(x1)<f(x2)x_1 < x_2 \Rightarrow f(x_1) < f(x_2). Similarly ff is decreasing on II if x1<x2⇒f(x1)≥f(x2)x_1 < x_2 \Rightarrow f(x_1) \ge f(x_2), and strictly decreasing if the inequality is strict.

The derivative test. The sign of the derivative f′(x)f'(x) tells us the direction of change, because f′(x)f'(x) is the slope of the tangent — the instantaneous rate at which ff is changing. On an interval II where ff is differentiable:

  • if f′(x)>0f'(x) > 0 for every xx in II, then ff is strictly increasing on II;
  • if f′(x)<0f'(x) < 0 for every xx in II, then ff is strictly decreasing on II;
  • if f′(x)=0f'(x) = 0 throughout II, then ff is constant on II.

A positive slope means the curve rises as we move to the right; a negative slope means it falls.

Method for finding the intervals. To find where a function increases or decreases:

  1. Compute f′(x)f'(x).
  2. Solve f′(x)=0f'(x) = 0 to find the critical points — the values of xx where the curve may change direction.
  3. These critical points divide the number line into open intervals. Test the sign of f′(x)f'(x) in each interval (pick any convenient test value inside it).
  4. Where f′(x)>0f'(x) > 0 the function is increasing; where f′(x)<0f'(x) < 0 it is decreasing.

For example, for f(x)=x2f(x) = x^2 we have f′(x)=2xf'(x) = 2x, which is negative for x<0x < 0 and positive for x>0x > 0; so ff decreases on (−∞,0)(-\infty, 0) and increases on (0,∞)(0, \infty), exactly matching the U-shape of its parabola. A function whose derivative is a perfect square or a sum of squares — for instance f′(x)=3(2x−3)2f'(x) = 3(2x-3)^2 — is never negative, so such a function is increasing on the whole real line.

Definition 1Increasing / Decreasing Function

On an interval II, ff is increasing if x1<x2⇒f(x1)≤f(x2)x_1 < x_2 \Rightarrow f(x_1) \le f(x_2) and decreasing if x1<x2⇒f(x1)≥f(x2)x_1 < x_2 \Rightarrow f(x_1) \ge f(x_2); the inequalities are made strict for strictly increasing / strictly decreasing.

Definition 2Derivative Test for Monotonicity

On an interval where ff is differentiable: f′(x)>0f'(x) > 0 throughout ⇒\Rightarrow ff strictly increasing; f′(x)<0f'(x) < 0 throughout ⇒\Rightarrow ff strictly decreasing; f′(x)=0f'(x) = 0 throughout ⇒\Rightarrow ff constant.

Definition 3Critical Point

A value of xx in the domain at which f′(x)=0f'(x) = 0 (or f′(x)f'(x) does not exist). The curve can change from increasing to decreasing, or vice versa, only at a critical point.