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This test models geometric and economic optimisation situations. Students construct an objective function, determine its feasible domain, use derivatives to find an extremum and interpret the result in context.
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Define the variable and feasible values from the context. Build the objective function using the constraints. Find candidates, compare relevant values and check the result and units.
Let one side be x and the other P/2 − x. Area S(x) = x(P/2 − x), for 0 < x < P/2. Setting S′(x) = P/2 − 2x = 0 gives x = P/4; a square maximizes area.
Volume V = x²h, so h = V/x² for x > 0. An open-top box has one base and four walls: S(x) = x² + 4xh = x² + 4V/x. Do not include a top.
For a > 0 and x > 0, f′(x) = 1 − a/x². Setting it to zero gives x = √a. The derivative is negative before this point and positive after, giving a minimum.
Volume V = x²h, so h = V/x² for x > 0. An open-top box has one base and four walls: S(x) = x² + 4xh = x² + 4V/x. Do not include a top.
For a > 0 and x > 0, f′(x) = 1 − a/x². Setting it to zero gives x = √a. The derivative is negative before this point and positive after, giving a minimum.
Two sides perpendicular to the wall have length x; the parallel side is f − 2x. Area S(x) = x(f − 2x), for 0 < x < f/2. Setting S′ = f − 4x = 0 gives x = f/4.
P′(x) = −2ax + b, giving critical point x = b/(2a). For a > 0, the parabola opens downward, so this is a maximum. Check the feasible domain.
Define the variable and feasible values from the context. Build the objective function using the constraints. Find candidates, compare relevant values and check the result and units.
On a closed interval, evaluate the function at both endpoints and all critical points inside it. Compare function values, not x values. For positive m, m(x − r)² is greatest at the endpoint farther from r.
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https://www.catestia.com/en/mathematics/12th-grade/optimisation-problems-test/115/