MATMaxima & Minima
Maxima and Minima
This subtopic uses derivatives to find the greatest and least values of a function, both locally (turning points) and globally (absolute extrema on a domain). The core method is to locate critical points where (or is undefined), then classify them using the first- or second-derivative test.
It is the highest-weight section of the chapter because of optimisation word-problems (boxes, cylinders, cones, windows, tanks) where you must build the objective function, reduce it to one variable using a constraint, and maximise or minimise it.
Stationary (critical) point
is a critical point of if or does not exist; extrema occur only among such points.
Second derivative test
is a critical point. If the test fails and you must use the first-derivative (sign-change) test.
First derivative (sign change) test
Examine the sign of just to the left and right of ; no sign change means is neither (point of inflection).
Absolute extrema on a closed interval
On , compare at all critical points inside and at the endpoints .
- Method for word problems: (1) draw a figure and name variables, (2) write the quantity to optimise, (3) use the given constraint to reduce it to ONE variable, (4) set the derivative to , (5) confirm max/min by the second-derivative test, (6) state the answer with units.
- Sphere–cylinder result: the cylinder of greatest volume inscribed in a sphere of radius has height .
- Cone of given slant height has maximum volume when its semi-vertical angle is .
- Cylinder inscribed in a cone (height , base radius ) has greatest volume at radius , and that volume is of the cone's volume.
- Local maximum value is not always greater than a local minimum value of the same function; 'local' is relative to a neighbourhood only.
- If , the second-derivative test is inconclusive — switch to the first-derivative test rather than guessing.
- Discard roots of that fall outside the physical domain (e.g. a negative length or a cut larger than half the sheet).
- For a sum constraint , optimise by substituting so the objective depends on a single variable.
- Stopping at without classifying the point — every critical point must be tested for max, min, or neither.
- Forgetting endpoint values: on a closed interval the absolute maximum/minimum may occur at or , not at an interior critical point.
- Maximising a quantity that should be minimised (or vice-versa) — read whether the problem wants greatest volume or least surface area.
- Keeping geometrically impossible roots, e.g. a corner cut for an cm sheet, instead of rejecting them.
- Applicationthe optimisation method for word problemsA closed right circular cylinder of given total surface area is to hold the maximum volume. Show that its height is equal to the diameter of its base.
- Numericalabsolute extrema on a closed intervalFind the absolute maximum and absolute minimum values of on the interval .
- Numericalfirst- and second-derivative test classificationFind all the points of local maxima and local minima of the function and the corresponding local extreme values.
- Applicationdiscarding roots outside the physical domainA square sheet of tin of side cm has a square of side cut from each corner; the flaps are folded up to form an open box. Find so that the volume of the box is maximum, and find that maximum volume.
- Derive / provecone inscribed in a sphere resultProve that the right circular cone of maximum volume that can be inscribed in a sphere of radius has altitude .
- Applicationthe sum-constraint substitution methodDivide the number into two positive parts such that the product of one part and the square of the other is a maximum.
Written for Sublevo. Question text quoted anywhere in these notes is the Council’s and carries its year and paper; the board’s own diagrams are not reproduced.