Review the key concepts, formulae, and examples before starting your quiz.
🔑Concepts
Optimization involves finding the maximum or minimum value of a function, which occurs at stationary points where the first derivative is zero: .
The first step in an optimization problem is to define the variables and establish a function for the quantity to be optimized (e.g., Area , Volume , or Cost ).
If the function contains two variables, use a constraint equation (a given constant value like total length or volume) to substitute one variable so the function is in terms of a single variable.
To determine if a stationary point is a maximum or a minimum, use the second derivative test: if , it is a local minimum; if , it is a local maximum.
In the IB AI syllabus, optimization often relates to real-world shapes like cylinders, cuboids, and rectangles, as well as economic functions like profit and cost.
Consider the domain of the variable; for example, lengths and radii must be positive ().
📐Formulae
💡Examples
Problem 1:
A rectangular garden is to be fenced using m of fencing. One side of the garden is a straight stone wall and does not need fencing. Find the maximum possible area of the garden.
Solution:
Let the width of the garden perpendicular to the wall be and the length parallel to the wall be .
- Constraint (total fencing):
- Area function:
- Differentiate:
- Set derivative to zero:
- Find :
- Max area:
- Verification: . Since , the area is a maximum.
Explanation:
We expressed the area in terms of one variable using the perimeter constraint, found the critical point using the derivative, and verified it was a maximum using the second derivative.
Problem 2:
A closed cylindrical can must have a volume of . Show that the surface area is given by , and find the value of that minimizes this area.
Solution:
- Volume constraint:
- Surface Area:
- Substitute :
- Differentiate:
- Set to zero:
- Solve for : cm
Explanation:
First, the height was expressed in terms of the radius using the volume formula. This was substituted into the surface area formula. The derivative was set to zero to find the radius that provides the minimum surface area.