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(L12) Derivatives of Exponential and Logarithmic Functions in Business Calculus

Study Guide - Smart Notes

Tailored notes based on your materials, expanded with key definitions, examples, and context.

Exponential Functions and Their Derivatives

Definition and Properties

Exponential functions are of the form f(x) = a^x, where a is a positive constant. These functions are fundamental in modeling growth and decay in business applications.

  • Key Property: The rate of change of an exponential function is proportional to its value.

  • Special Base: The number e (Euler's number, approximately 2.71828) is defined as .

Derivative of Exponential Functions

The derivative of f(x) = a^x can be found using the limit definition and the chain rule.

  • General Formula:

  • Special Case: For a = e,

  • Chain Rule for Exponential Functions: If f(x) = a^{g(x)}, then

Examples

  • Example 1:

  • Example 2:

Logarithmic Functions and Their Derivatives

Definition and Properties

Logarithmic functions are the inverses of exponential functions. The natural logarithm is denoted ln(x), and the logarithm with base a is loga(x).

  • Key Property: for a = e

  • Logarithmic Differentiation: Useful for differentiating complicated products, quotients, or powers.

Derivative of Logarithmic Functions

  • Natural Logarithm:

  • Logarithm with Base a:

  • Chain Rule for Logarithmic Functions: If f(x) = \ln(g(x)), then

  • Generalization with Absolute Values: for

Examples

  • Example 1: , where k is a constant

  • Example 2:

Inverse Functions and Their Derivatives

General Strategy

If g(x) is the inverse of f(x), and you know f'(x), then:

Example

  • Example: If g(x) = \sqrt{x} is the inverse of f(x) = x^2, then

Logistic Functions in Business Applications

Definition and Application

Logistic functions model growth that starts slowly, increases rapidly, and then levels off as it approaches a maximum (carrying capacity). Common in population dynamics and sales modeling.

  • General Form:

  • Parameters:

    • P_0: Initial population or sales

    • m: Maximum population (carrying capacity)

    • k: Positive constant

  • Long-term Behavior: As ,

Summary Table: Derivatives of Exponential and Logarithmic Functions

Function

Derivative

Additional info:

  • These notes cover the essential calculus rules for exponential and logarithmic functions, including the chain rule and applications to business models such as logistic growth.

  • Examples and step-by-step differentiation are provided for both simple and composite functions.

  • Generalization to absolute values is included for logarithmic derivatives.

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