BackCalculus Exam 1 & 2 Review: Limits, Differentiation, and Exponential/Logarithmic Functions
Study Guide - Smart Notes
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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.