Application of Derivatives: Common Mistakes and Fixes (3)

hard 3 min read

Question

Find the maximum and minimum values of f(x)=2x315x2+36x+1f(x) = 2x^3 - 15x^2 + 36x + 1 on the closed interval [1,5][1, 5]. A student finds critical points at x=2x = 2 and x=3x = 3, evaluates ff at those, and reports f(2)=29f(2) = 29 as max and f(3)=28f(3) = 28 as min. Where did they go wrong?

Solution — Step by Step

f(x)=6x230x+36=6(x25x+6)=6(x2)(x3)f'(x) = 6x^2 - 30x + 36 = 6(x^2 - 5x + 6) = 6(x-2)(x-3)

Critical points: x=2x = 2 and x=3x = 3. Both lie inside [1,5][1, 5].

This is where the student went wrong. On a closed interval, we always check critical points and both endpoints.

f(1)=215+36+1=24f(1) = 2 - 15 + 36 + 1 = 24.

f(2)=1660+72+1=29f(2) = 16 - 60 + 72 + 1 = 29 (local max).

f(3)=54135+108+1=28f(3) = 54 - 135 + 108 + 1 = 28 (local min).

f(5)=250375+180+1=56f(5) = 250 - 375 + 180 + 1 = 56.

Values: 24, 29, 28, 56. Maximum is at the right endpoint, not at the critical point!

Maximum value = f(5)=56f(5) = 56. Minimum value = f(1)=24f(1) = 24.

The student missed both. They reported a local max at 29 instead of the global max at 56, and a local min at 28 instead of the global min at 24.

Why This Works

The Extreme Value Theorem guarantees that a continuous function on a closed bounded interval attains its absolute max and min. Those extrema occur at either (a) interior critical points where f(x)=0f'(x) = 0 or undefined, or (b) the endpoints. So the search list always has both kinds.

A local max/min from the derivative test is not the same as the absolute max/min on the interval. Endpoints can easily beat interior critical points — especially for cubic and higher-degree polynomials whose end behaviour shoots up.

Alternative Method

Sketch the function. f(x)f(x) is a cubic with positive leading coefficient. ff' has roots at 2 and 3, with f>0f' > 0 on (,2)(3,)(-\infty, 2) \cup (3, \infty) and f<0f' < 0 on (2,3)(2, 3). So ff is increasing-decreasing-increasing. On [1,5][1, 5]: increasing from f(1)=24f(1) = 24 to f(2)=29f(2) = 29, decreasing to f(3)=28f(3) = 28, then increasing again to f(5)=56f(5) = 56. Sketch confirms 56 is the absolute max.

Common Mistake

The error in the question is the most common one in JEE Main on AOD: forgetting endpoints on a closed interval. Always make a list with ff evaluated at every critical point plus both endpoints. Pick the largest and smallest — those are the answers. This single habit fixes 90% of careless mistakes in optimisation problems.

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