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How to Find the Largest Box You Can Fold From a Square Sheet

Identify critical, stationary and extreme points, classify local maxima and minima with the first and second derivative tests, and solve optimisation problems by finding absolute maxima and minima on a closed interval.

How does calculus find the best possible value?

Businesses want the greatest profit, engineers the least material, and travellers the shortest route. At a highest or lowest point of a smooth graph the tangent is flat, so derivatives locate the candidates — and further tests decide which is a maximum and which a minimum.

This lesson covers critical and extreme points, the first derivative test, the second derivative test, and optimisation on closed intervals.

What are the critical points, stationary points and extreme points of a function?

**A critical point is a point of the domain where or does not exist, a stationary point is one where , and an extreme point is where f has a local maximum or minimum — every local extreme occurs at a critical point, but not every critical point is an extreme.

Definitions:

-
Local maximum at c** — for all x near c
- Local minimum at c for all x near c
- Point of inflection — where the graph changes the way it bends, as does at 0

Worked example. For , gives the stationary points and , with and .

Worked example 2. For , does not exist, so is a critical point — and it gives the minimum value 0.

An everyday example. The highest point reached by a ball thrown straight up is a stationary point: for an instant its vertical velocity, the derivative of its height, is zero.

The substance. ** is necessary, not sufficient** — has a stationary point at 0 that is neither a maximum nor a minimum.

How does the first derivative test classify local maxima and minima?

**At a critical point c, if changes from positive to negative as x increases through c, f has a local maximum there; if it changes from negative to positive, a local minimum; and if its sign does not change, c is neither.

Worked example.** Classify the critical points of .

-
- Near : and , so a local maximum,
- Near : and , so a local minimum,

When this test is essential. For , is undefined at 0, negative for and positive for , so 0 is a local minimum — a case the second derivative test cannot handle.

An everyday example. A trekker crossing a hill in the Western Ghats climbs, reaches the top and descends — the slope changes from positive to negative at the summit, a local maximum.

The substance. A local maximum need not be the greatest value overall is a local maximum, yet exceeds 5 for large x.

How does the second derivative test classify local maxima and minima?

**At a stationary point c, where , f has a local maximum if and a local minimum if ; if , the test gives no conclusion and the first derivative test must be used.

Worked example.** For , .

- , so gives the local maximum 5
- , so gives the local minimum 1

Worked example 2, where the test fails. For , and , yet the first derivative test shows a minimum at 0; for , as well, but 0 is neither a maximum nor a minimum.

An everyday example. The dip at the bottom of a skate-park bowl bends upward, so its lowest point has a positive second derivative — a minimum.

The substance. The second derivative test is quicker but less powerful — it is silent when and unusable when does not exist.

How do you solve optimisation problems by finding absolute maxima or minima on a closed interval?

**On a closed interval , a continuous function reaches its absolute maximum and minimum either at a critical point inside the interval or at an end point, so evaluate f at all of these points and pick the largest and smallest values.

Worked example (closed interval).** Find the absolute extremes of on . The candidates are , , and . The absolute maximum is 21 at , and the absolute minimum is 1, at and .

Worked example (box). An open box is made from an 18 cm square sheet by cutting a square of side x from each corner. Its volume is for .



Since gives , the volume is greatest at : cm³.

An everyday example. A sweet shop owner choosing the price that gives the greatest daily profit is solving exactly this kind of problem.

The substance. End points can beat critical points — on the local maximum 5 is not the absolute maximum, which occurs at the end point.
Exam tip

What earns full marks on maxima and minima?

In optimisation questions, write the quantity as a function of one variable, state its domain, find the critical points, and justify maximum or minimum with a test — the justification carries marks.

- Critical points: or undefined
- First derivative test: a change from positive to negative gives a maximum
- Second derivative test: maximum, minimum
- Closed interval: compare critical points with end points

The trap. Reporting a local maximum as the greatest value. On a closed interval, always check the end points too.
Did you know

Why are honeycomb cells hexagonal?

Bees build wax cells that must hold honey while using as little wax as possible. The cells must also fit together without gaps.

Only three regular shapes tile a flat surface — triangles, squares and hexagons. Of these, the hexagon is closest to a circle, the shape with the least perimeter for a given area, so a hexagonal comb encloses the most space for the least wall.

Nature is full of such solutions: a soap bubble is round because a sphere holds a given volume with the least surface area.
Exam relevance

How are maxima and minima tested in JEE Main and JEE Advanced?

Application of Derivatives is a recurring JEE Main chapter, and optimisation problems are common in JEE Advanced.

What gets asked. Local and absolute extremes of polynomial and trigonometric functions, optimisation of areas, volumes and distances, and the number of critical points of a function containing a parameter.

Question types. Numerical-value questions asking for a greatest or least value, and multiple-choice questions on critical points.

The trap that costs marks. Ignoring the domain — a critical point outside the allowed interval is not a valid answer.
Key takeaways

What must you be able to do from this lesson?

- Critical points: where or does not exist; extremes occur only there or at end points
- First derivative test: positive to negative gives a maximum, negative to positive a minimum
- Second derivative test: maximum, minimum, no conclusion when zero
- Optimisation: write a one-variable function and compare critical and end-point values

What are the dimensions of the rectangle with the greatest area for a perimeter of 36 cm?

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