Maxima, Minima and Optimisation: Quick Revision | StemPy Lab
Mathematics
Maxima, Minima and Optimisation: Quick Revision
A brief note on maxima, minima and optimisation: critical points, the first and the second derivative tests, extreme values on a closed interval, and the steps for optimisation problems. With a worked example, practice, a program and questions to check yourself.
A brief note on Maxima, Minima and Optimisation. Read it before a test. Try each question at the end before you open its answer.
Critical points and the first derivative test
Critical point: a value c where f′(c)=0 (a stationary point) or where f′(c) does not exist.
Local extreme values: only at critical points. Not every critical point is one, as x3 at 0 shows.
First derivative test:f′ from + to − at c is a local maximum. From − to + is a local minimum. No change is neither.
The second derivative test and intervals
Second derivative test: if f′(c)=0, then f′′(c)<0 is a local maximum and f′′(c)>0 is a local minimum. If f′′(c)=0, use the first derivative test.
Closed interval [a,b]: compare f at the end points and at the critical points inside. The largest is the greatest value and the smallest is the least value.
Open interval: the greatest or least value may not exist.
Optimisation steps
Steps: draw, name the variables, write the objective in one variable using the condition, find the domain, solve f′(x)=0, check with f′′ or the end points, answer with units.
Standard results: a rectangle of fixed perimeter has the greatest area when it is a square. A closed cylinder of fixed volume has the least surface when h=2r. An open box from a square sheet of side S has the greatest volume with a cut of 6S.
A worked example
Find the local extreme values of f(x)=x3−12x+5.
Differentiate.f′(x)=3x2−12=3(x−2)(x+2), so x=±2.
Second derivative.f′′(x)=6x. At x=−2, f′′=−12<0, a local maximum. At x=2, f′′=12>0, a local minimum.
The values.f(−2)=−8+24+5=21 and f(2)=8−24+5=−11.
Practice with new numbers
A program to try
The program finds the critical points of f(x)=x3−3x, shows the second derivative at each, and finds the greatest and least values on [−2,3].
Mistakes to avoid
Using the second derivative test when f′′(c)=0. It says nothing.
Forgetting the end points of a closed interval.
Forgetting a critical point where f′ does not exist.
Not showing that the answer is a maximum or a minimum in an optimisation problem.
Check yourself
Find the critical points of f(x)=x2−4x.
Classify the critical point of f(x)=3−x2 with f′′.
Find the greatest and least value of f(x)=x2 on [−1,2].
A rectangle has a perimeter of 24cm. What is its greatest area?
Why is x=0 not an extreme point of f(x)=x3?
Sources
NCERT, Mathematics Textbook for Class XII, Part I, Chapter 6 (Application of Derivatives).
OpenStax, Calculus Volume 1, Section 4.3 (Maxima and Minima), Section 4.5 (Derivatives and the Shape of a Graph) and Section 4.7 (Applied Optimization Problems).