Calculus - Derivatives of Composite, Implicit, Inverse Trigonometric, Exponential and Logarithmic Functions
Review the key concepts, formulae, and examples before starting your quiz.
🔑Concepts
Chain Rule for Composite Functions: When a function is nested within another, such as , the derivative is calculated as the derivative of the outer function multiplied by the derivative of the inner function, expressed as . Visually, this process is like peeling an onion; you differentiate the outermost layer first and work your way inward. On a graph, the steepness of the composite curve is determined by the compounding rates of change of its individual components.
Implicit Differentiation: This technique is used for equations where is not explicitly isolated, such as . We differentiate every term with respect to , and whenever we differentiate a term involving , we multiply by as per the chain rule. Geometrically, implicit differentiation allows us to find the slope of the tangent line to curves that may not be functions (like circles or ellipses) at any point on the curve.
Derivatives of Exponential Functions: The natural exponential function is unique because its slope at any point is exactly equal to its y-value. Visually, the graph of becomes steeper as it moves to the right, and the rate of this steepening is the function itself. For a general base , the derivative of is , where the factor acts as a scaling constant for the growth rate.
Logarithmic Differentiation: This is a powerful method used for complex products, quotients, or functions of the form . By taking the natural logarithm of both sides, we use log properties to turn powers into products and products into sums. After differentiating implicitly, we solve for . This method linearizes the relationship between the base and the exponent, making the differentiation of variable-power functions manageable.
Derivatives of Inverse Trigonometric Functions: Functions like and have derivatives that are algebraic fractions. For example, the derivative of is . Visually, the inverse tangent function has horizontal asymptotes at and is strictly increasing; its derivative represents a bell-shaped curve that peaks at , reflecting the steepest part of the original function's graph.
Logarithmic Functions: The derivative of is for . Visually, the natural log curve grows slower and slower as increases, which is reflected in its derivative approaching zero. If the base of the log is not , we use the change of base formula, resulting in .
📐Formulae
💡Examples
Problem 1:
Find if .
Solution:
- Take the natural log of both sides:
- Use log properties:
- Differentiate both sides with respect to using the Product Rule on the right:
- Compute derivatives:
- Simplify:
- Multiply by :
- Substitute original :
Explanation:
This problem uses logarithmic differentiation because the function has a variable in both the base and the exponent. Taking converts the exponentiation into a product, which is then solvable via the Product Rule and Chain Rule.
Problem 2:
Find for the implicit equation .
Solution:
- Differentiate both sides with respect to :
- Apply the Product Rule to and Chain Rule to :
- Group terms containing :
- Factor out :
- Solve for :
Explanation:
This example demonstrates implicit differentiation. Since cannot be easily isolated, we differentiate term-by-term. The term requires the product rule, and requires the chain rule (multiplying by ).