Sequences, Exponential, and Logarithmic Functions Comprehensive Study Notes
Course Schedule and Curriculum Overview: Unit 2 (Fall 2026)
Course Topic: Unit 2 — Sequences, Exponential and Logarithmic Functions
Student / Author Record: Keegan Whitaker, Dated 8/31/26
Fall 2026 Daily Schedule and Topic Breakdown:
Monday, 8/31: Exponential Expressions and Manipulations (Exponent Rules) — Worksheet #1
Tuesday, 9/1: Exponential Expressions and Manipulations Continued
Wednesday, 9/2: Arithmetic and Geometric Sequences with Focus on Rate of Change (ROC), Convergence, and Divergence — Worksheet #2
Thursday, 9/3: Exponential Functions with Transformations, End Behavior, and Exponential in Context (Best Fit) — Worksheet #3
Friday, 9/4: Residuals — Worksheet #4
Tuesday, 9/8: Review and Practice — Worksheet #5
Wednesday, 9/9: Quiz #1
Thursday, 9/10: Inverses and Compositions — Worksheet #6
Friday, 9/11: Review and Free Response Question (FRQ) #2
Monday, 9/14: Inverses of Exponential Functions — Worksheet #7
Tuesday, 9/15: Quiz #2
Wednesday, 9/16: Introduction to Logarithmic Functions and Graphing Logarithmic Functions with Characteristics (including End Behavior) — Worksheet #8
Thursday, 9/17: DeltaMath Quiz Review Opens
Friday, 9/18: Properties of Logarithms and Review — Worksheet #9
Monday, 9/28: Solving Logarithmic and Exponential Equations — Worksheet #10
Tuesday, 9/29: Solving Logarithmic and Exponential Inequalities — Worksheet #11
Wednesday, 9/30: Applications and Graphing with Semi-Log Paper — Worksheet #12
Fall Break Block: Unit 2 Test, AP Classroom Review, Optional DeltaMath Test Review/Classwork, Notebook Submissions Due
Exponent Rules, Rational Exponents, and Expression Manipulations
Core Mathematical Rules for Exponents and Radicals:
Rational Exponent Definition: a^{m/n} = \n\sqrt[n]{a^m} = (\sqrt[n]{a})^m
Negative Exponent Rule:
Product of Powers Rule:
Quotient of Powers Rule:
Power of a Power Rule:
Power of a Product Rule:
Power of a Quotient Rule:
Numerical Simplifications Without Calculators:
; or
Variable and Radical Expression Manipulations:
Simplifications Rewritten with Single Positive Exponent:
Simplifications Involving Radicals and Absolute Values:
Rational Algebraic Simplifications:
Exponential Functions, Transformations, and End Behavior
Parent Function Characteristics and Key Points:
: Key points at , , , , ; Horizontal Asymptote at .
: Key points at , , , , ; Horizontal Asymptote at .
: Horizontal shift right by unit. Key points at , , , ; Horizontal Asymptote at .
: Horizontal shift left by units. Key points at , , ; Horizontal Asymptote at .
: Exponential decay graph. Key points at , , , ; Horizontal Asymptote at .
: Vertical reflection across the x-axis. Key points at , , ; Horizontal Asymptote at .
: Vertical reflection across the x-axis. Key points at , , , ; Horizontal Asymptote at .
: Vertical reflection across the x-axis. Key points at , , ; Horizontal Asymptote at .
Evaluated Function Tables:
For :
When ,
When ,
When ,
For :
When ,
When ,
When ,
When ,
For :
When ,
When ,
When ,
When ,
When ,
Transformation Descriptions from Parent Functions:
: Shifted right units.
: Vertically compressed by a factor of .
: Vertically stretched by a factor of , shifted left unit, shifted down units. Horizontal Asymptote at .
: Reflected across the x-axis, vertically stretched by a factor of , shifted left units, shifted up units. Horizontal Asymptote at .
: Shifted right units, shifted down units. Horizontal Asymptote at .
: Horizontally compressed by a factor of , shifted down units. Horizontal Asymptote at .
Growth/Decay Classification and Limit End Behavior:
: Exponential Decay.
: Exponential Decay.
: Exponential Growth.
Demonstration of Function Equivalence:
Showing is identical to .
Showing is identical to .
Showing is identical to .
Natural Exponential Functions:
Parent natural exponential function:
Transformed natural exponential function:
Transformations: Vertically stretched by , shifted right units, shifted up unit. Horizontal asymptote at
Exponential Growth, Decay, and Real-World Modeling
Identifying Constant Percentage Growth and Decay Rates:
: Exponential Growth; constant rate (
: Exponential Growth; constant rate (
: Exponential Decay; constant rate (
: Exponential Decay; constant rate (
: Exponential Growth; constant rate (
: Exponential Decay; constant rate (
Constructing Exponential Functions from Conditions:
Initial value , increasing at per year:
Initial value , decreasing at per month:
Initial value , decreasing at per week:
Initial height , growing at per week:
Constructing Exponential Formulas from Numerical Tables:
Given table for :
Data points: , , , ,
Constant multiplier ; Initial value
Formula:
Given table for :
Data points: , , , ,
Constant multiplier ; Initial value
Formula:
Constructing Exponential Formulas from Coordinate Graphs:
Graph passing through and :
Initial value
Solve for :
Formula:
Graph passing through and :
Initial value
Solve for :
Formula:
Real-World Modeling Applications:
Jacksonville, Florida Population Model:
In 2020 (), population , growing at per year.
Population equation:
Predicted population in 2050 ():
Time to reach residents: (Year 2041).
Radioactive Decay Model:
Half-life ; Initial amount
Remaining mass equation:
Time when less than remains:
Bacterial Culture Growth Model:
Bacteria count formula:
Initial amount ():
Time to reach :
Carbon-14 Decay Model:
Mass equation:
Initial amount:
Half-life determination:
Arithmetic and Geometric Sequences and Series
Arithmetic Sequences:
Characteristics: Constant difference / constant rate of change .
Explicit Formula: or
Example 1:
Common difference
Tenth term
Explicit rule:
Example 2:
Common difference
Tenth term
Explicit rule:
Example 3:
Common difference
Tenth term
Explicit rule:
Example 4:
Common difference
Tenth term
Explicit rule:
Finding terms from given elements:
Arithmetic sequence with and :
Common difference
Zeroth term
Explicit rule:
Geometric Sequences:
Characteristics: Constant ratio / constant proportional change .
Explicit Formula:
Example 1:
Common ratio
Seventh term
Explicit rule:
Example 2:
Common ratio
Seventh term
Explicit rule:
Example 3:
Common ratio
Seventh term
Explicit rule:
Example 4:
Common ratio
Seventh term
Explicit rule:
Finding terms from given elements:
Geometric sequence with and :
Common ratio relation:
Zeroth term
Explicit rule:
Sequence Function Classification from Data Tables:
Bungy-Gungy Tree Growth in Amazon Rain Forest:
Time
Height
Function Type: Linear (Arithmetic sequence behavior)
Equation:
Thorium-232 Radioactive Decay (Half-life = 14 Billion Years):
Half-lives
Mass
Function Type: Exponential (Geometric sequence behavior)
Equation:
Sequence Convergence, Divergence, and Infinite Series
Summation Notation and Sum Evaluations:
Finite Series:
Sequence rule
Number of terms :
Summation notation:
Calculated sum:
Finite Series:
Sequence rule
Number of terms :
Summation notation:
Calculated sum:
Finite Series (8 terms):
Sequence rule
Summation notation:
Calculated sum:
Finite Geometric Sequence ():
Summation notation:
12th term
Calculated sum:
Convergence vs. Divergence Analysis of Infinite Series:
Infinite Geometric Series Convergence Rule: An infinite geometric series converges if and only if . The sum is given by .
Series 1:
First term , ratio
Converges
Sum:
Series 2:
Ratio
Diverges
Series 3:
Arithmetic series with
Terms do not approach zero Diverges
Series 4:
First term , ratio
Converges
Sum:
Series 5:
First term , ratio
Converges
Summation notation:
Sum:
Residual Analysis and Model Evaluation
Definition and Formula for Residuals:
A residual measures the vertical deviation of an actual data point from a modeled prediction.
Formula:
Case Study 1: Vertical Motion Ball Height Analysis:
Quadratic Predicted Height Model:
Alternative Exponential Fit: with
Complete Experimental Data Table:
: Actual Height , Predicted , Residual
: Actual Height , Predicted , Residual
: Actual Height , Predicted , Residual
: Actual Height , Predicted , Residual
: Actual Height , Predicted , Residual
: Actual Height , Predicted , Residual
: Actual Height , Predicted , Residual
: Actual Height , Predicted , Residual
: Actual Height , Predicted , Residual
Residual Plot Axes Window Settings: Domain , Range
Model Evaluation Conclusion: A distinct curved pattern in the residual plot confirms that an exponential regression model is NOT a good fit for quadratic trajectory data.
Case Study 2: Exponential Model Residual Evaluation:
Fitted Model:
Correlation Parameters: ,
Complete Data and Residual Table:
: Actual , Modeled , Residual
: Actual , Modeled , Residual
: Actual , Modeled , Residual
: Actual , Modeled , Residual
: Actual , Modeled , Residual
AP Test Preparation and Practice Questions
Practice Question 1 (Arithmetic Sequence):
Problem: The first two terms of an arithmetic sequence are and . What is the fourth term?
Derivation: Common difference . Fourth term
Multiple Choice Options: a. , b. , c.
Correct Answer: a. 20
Practice Question 2 (Geometric Sequence):
Problem: A geometric sequence begins with . What is the 5th term?
Derivation: Common ratio . Fifth term
Practice Question 3 (Exponential Growth Rate):
Problem: What is the constant percentage growth rate of ?
Derivation: Rate
Multiple Choice Options: a. , b. , c. , d.
Correct Answer: c. 4.9%
Practice Question 4 (Exponential Decay Rate):
Problem: What is the constant percentage decay rate of ?
Derivation: Decay rate
Multiple Choice Options: a. , b. , c. , d.
Correct Answer: b. 16.6%
Practice Question 5 (Cell Division / Population Growth):
Problem: A single-cell amoeba divides into two every . About how long will it take one amoeba to produce a population of ?
Derivation:
Multiple Choice Options: a. , b. , c. , d.
Correct Answer: d. 40 days