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Differentiation Techniques and Applications in Calculus

Study Guide - Smart Notes

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§1.5 - Differentiation Techniques: The Power and Sum-Difference Rules

Leibniz Notation

Leibniz notation is a standard way to denote derivatives in calculus. If y = f(x), the derivative of y with respect to x is written as . The derivative evaluated at a specific value can be written as or .

  • Derivative Operator: placed next to an expression denotes its derivative.

  • Examples:

The Power Rule

The Power Rule is a fundamental technique for differentiating functions of the form .

  • Theorem: For any real number n, if , then .

  • Examples:

The Derivative of a Constant Function

The derivative of a constant function is always zero, as the slope of its graph is flat.

  • Theorem: for any constant c.

The Derivative of a Constant Times a Function

When differentiating a constant times a function, the constant can be factored out.

  • Theorem:

  • Examples:

The Derivative of a Sum or a Difference

The derivative of a sum or difference of functions is the sum or difference of their derivatives.

  • Theorem:

    • Sum:

    • Difference:

  • Example:

Slopes of Tangent Lines

To find points where the tangent line has a specific slope, set the derivative equal to the desired value and solve for x.

  • Example: For , find where the tangent is horizontal (set ) or has slope 9 (set ).

Applications: Population Growth and Ticket Prices

Derivatives are used to model rates of change in real-world scenarios, such as population growth and pricing.

  • Example: Population growth rate: , .

  • Example: Super Bowl ticket prices: .

Graph of Super Bowl ticket price function

§1.6 - Differentiation Techniques: The Product and Quotient Rules

The Product Rule

The Product Rule is used to differentiate products of two functions.

  • Theorem: If , then .

  • Example:

The Quotient Rule

The Quotient Rule is used to differentiate quotients of two functions.

  • Theorem: If , then

  • Example:

Application: Average Cost, Revenue, and Profit

In business, average cost, revenue, and profit are important for analyzing performance. These are defined as follows:

Quantity

Formula

Average Cost

Average Revenue

Average Profit

Definition of average cost, revenue, and profit

§1.7 - Differentiation Techniques: The Chain Rule

The Extended Power Rule

The Extended Power Rule generalizes the Power Rule to functions raised to a power.

  • Theorem: If , then

  • Example:

Composition of Functions and the Chain Rule

The Chain Rule is used to differentiate compositions of functions.

  • Definition: The composition is .

  • Theorem:

  • Example: If and , then

§1.8 - Higher Order Derivatives

Higher Order Derivatives

Higher order derivatives are derivatives of derivatives, representing rates of change of rates of change.

  • Notation: is the second derivative, is the third, and is the nth derivative.

  • Leibniz Notation: , , etc.

  • Example: For ,

Velocity and Acceleration

When a function describes position over time, its first derivative is velocity and its second derivative is acceleration.

  • Velocity:

  • Acceleration:

  • Example: For , ,

§2.2 - Derivatives of Exponential (Base-e) Functions

Derivatives of Exponential Functions

The exponential function with base e, , is unique in that its derivative is itself.

  • Theorem:

  • Chain Rule for Exponential Functions:

  • Example:

§2.3 - Derivatives of Natural Logarithmic Functions

Derivatives of Natural Logarithmic Functions

The natural logarithm function, , has a simple derivative.

  • Theorem:

  • Chain Rule for Logarithms:

  • Example:

Applications

Logarithmic functions are used in models of learning, advertising, and other social sciences.

  • Example: Learning model:

  • Example: Advertising response:

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