Skip to main content
Back

Calculus Exam 1 & 2 Review: Limits, Differentiation, and Exponential/Logarithmic Functions

Study Guide - Smart Notes

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

Limits and Continuity

/ Numerical, Algebraic, and Graphical Approaches to Limits

Limits are foundational in calculus, describing the behavior of functions as inputs approach specific values. Understanding limits is essential for defining derivatives and continuity.

  • Numerical Approach: Evaluating limits by substituting values increasingly close to the point of interest.

  • Algebraic Approach: Manipulating expressions to simplify and find limits analytically.

  • Graphical Approach: Observing the behavior of a function's graph near the point of interest.

  • Continuity: A function is continuous at a point if the limit exists and equals the function's value at that point.

Key Formula: Example: Find .

  • Algebraic simplification: for .

  • Thus, .

Average Rates of Change

Definition and Application

The average rate of change of a function over an interval quantifies how the function's output changes per unit input.

  • Definition: For a function over , the average rate of change is:

  • Application: Used to approximate instantaneous rates and analyze trends.

Example: For , the average rate of change from to is:

Differentiation Using Limits of Difference Quotients

Definition of the Derivative

The derivative measures the instantaneous rate of change of a function. It is defined as the limit of the difference quotient.

  • Difference Quotient:

  • Derivative Definition:

  • Interpretation: Slope of the tangent line to the curve at point .

Example: For :

Leibniz Notation and Differentiation Rules

Leibniz Notation, Power Rule, and Sum-Difference Rule

Leibniz notation expresses derivatives as , facilitating clear communication of differentiation.

  • Power Rule: For ,

  • Sum-Difference Rule: The derivative of a sum/difference is the sum/difference of the derivatives.

Example:

Product and Quotient Rules

Rules for Differentiating Products and Quotients

When differentiating products or quotients of functions, specific rules apply.

  • Product Rule:

  • Quotient Rule:

Example:

The Chain Rule

Differentiating Composite Functions

The chain rule is used to differentiate functions composed of other functions.

  • Chain Rule: If , then

Example:

Higher Order Derivatives

Second and Higher Derivatives

Higher order derivatives represent the rate of change of previous derivatives, such as acceleration (second derivative of position).

  • Notation: for the second derivative, for the th derivative.

  • Application: Used in physics, engineering, and mathematical modeling.

Example: For , ,

Exponential and Logarithmic Functions

Properties and Definitions

Exponential and logarithmic functions are essential in modeling growth, decay, and many natural phenomena.

  • Exponential Function:

  • Natural Exponential Function:

  • Logarithmic Function:

  • Natural Logarithm:

Example: ,

Derivatives of Exponential and Logarithmic Functions

Base-e Exponential and Natural Logarithm Derivatives

Special rules apply for differentiating exponential and logarithmic functions, especially those with base .

  • Derivative of :

  • Derivative of :

  • Derivative of :

  • Derivative of :

Example: (using the chain rule)

Summary Table: Differentiation Rules

Rule

Formula

Example

Power Rule

Sum-Difference Rule

Product Rule

Quotient Rule

Chain Rule

Exponential Rule

Logarithmic Rule

Additional info: Some topic headings were fragmented or repeated; they have been logi/Ically grouped and expanded for clarity. The summary table was inferred to provide a concise reference for differentiation rules.

Pearson Logo

Study Prep