Review the key concepts, formulae, and examples before starting your quiz.
🔑Concepts
Optimization is the process of finding the maximum or minimum value of a function, often subject to constraints.
A stationary point occurs where the first derivative of the function is zero: .
To verify the nature of a stationary point, use the second derivative test: if , the point is a local minimum; if , it is a local maximum.
In real-world problems, you must often use a constraint equation (e.g., fixed volume or perimeter) to substitute one variable and express the objective function in terms of a single variable.
Always check the endpoints of the domain if the function is defined on a closed interval , as the absolute maximum or minimum might occur there.
📐Formulae
💡Examples
Problem 1:
A closed rectangular box has a square base of side length cm and a height of cm. The total surface area of the box is . Find the maximum volume of the box.
Solution:
- Express the surface area: .
- Solve for : .
- Express Volume : .
- Find the derivative: .
- Set : (since ).
- Check second derivative: . For , , which is , confirming a maximum.
- Calculate Max Volume: .
Explanation:
First, we use the surface area constraint to eliminate . Then, we differentiate the volume function and solve for the critical value of . Finally, we verify it is a maximum using the second derivative test.
Problem 2:
A farmer wants to enclose a rectangular paddock using an existing straight stone wall as one side. He has m of fencing for the other three sides. Find the dimensions that provide the maximum area.
Solution:
- Let be the width perpendicular to the wall and be the length parallel to the wall.
- Constraint: .
- Area .
- Differentiate: .
- Set to zero: .
- Find : .
- Dimensions are by .
Explanation:
Since one side is a wall, the fencing only covers three sides (). We substitute the constraint into the area formula to create a quadratic function and find its vertex/maximum.