Review the key concepts, formulae, and examples before starting your quiz.
🔑Concepts
The derivative, denoted as or , represents the instantaneous rate of change of a function with respect to .
Geometrically, is the gradient (slope) of the tangent line to the curve at the point where .
A stationary point occurs where the gradient is zero, i.e., . These points can be local maxima, local minima, or points of horizontal inflexion.
The normal to a curve at a given point is the line perpendicular to the tangent at that point. Its gradient satisfies .
In IB AI, differentiation is frequently used for optimization problems, such as finding the dimensions that maximize area or minimize cost.
📐Formulae
💡Examples
Problem 1:
Given the function , find the coordinates of the stationary points.
Solution:
First, find the derivative: . Set the derivative to zero for stationary points: This gives and . Substitute these back into to find the -coordinates: For , . For , . The stationary points are and .
Explanation:
To find stationary points, we calculate the derivative and solve for when . We then find the corresponding values using the original function.
Problem 2:
Find the equation of the tangent to the curve at the point where .
Solution:
- Find the -coordinate when : . Point is .
- Find the derivative:
- Calculate the gradient () at : .
- Use the point-slope formula: .
Explanation:
The gradient of the tangent is the value of the derivative at that specific . Once we have the gradient and the point, we use the linear equation formula.