Taylor & Maclaurin Series - Complete Interactive Lesson
Part 1: Core Concepts
Taylor & Maclaurin Series — The General Formula
Part 1 of 7 — Taylor Polynomial Construction
Taylor Series Centered at
Maclaurin Series (Special Case: )
Taylor Polynomials
The th-degree Taylor polynomial is the partial sum:
| Degree | Polynomial | Approximation Quality |
|---|---|---|
| Constant (matches value) | ||
| Linear (matches slope) | ||
| Quadratic (matches concavity) |
AP Tip: "Write the th-degree Taylor polynomial" means . "Write the first four nonzero terms of the Taylor series" may give a higher-degree polynomial.
Example: Taylor Series for at
for all
Example: Taylor Series for at
| 0 | ||
| 1 | ||
| 2 | ||
| 3 | ||
| 4 |
Pattern repeats with period 4:
Taylor Polynomial Basics
Building Taylor Polynomials
Derivative Extraction
Summary
- Taylor series:
- Maclaurin series: Taylor at
- = partial sum through degree
- Know the difference between "degree " and "first nonzero terms"
Next: Part 2 — Computing Taylor Series from Scratch.
Part 2: Worked Examples
Taylor & Maclaurin Series — Computing from Scratch
Part 2 of 7 — Derivative Tables & Non-Zero Centers
Method: Derivative Table
To build the Taylor series at :
- Compute
- Form coefficients
- Write
Example: at
| 0 | |||
| 1 | |||
| 2 | |||
| 3 |
AP Tip: This is the method for functions NOT in the "big six" list. You compute derivatives until a pattern emerges or until you have enough terms.
Taylor Series at Non-Zero Centers
Example: centered at
for all .
Example: centered at
| 0 | |
| 1 | |
| 2 | |
| 3 |
Notice this looks like , which makes sense since !
Computing Taylor Series
Derivative Computation
Taylor at Non-Zero Center
Summary
- Build Taylor series via derivative tables
- Non-zero centers: evaluate at , use
- Look for patterns in derivatives (cyclic, factorial, powers)
- On the AP exam, you typically need 3-4 terms, not the general formula
Next: Part 3 — Known Series and Manipulation Techniques.
Part 3: Problem-Solving Patterns
Taylor & Maclaurin — Known Series & Manipulation
Part 3 of 7 — Using Known Series to Build New Ones
The Big Six (Must Memorize)
Manipulation Toolkit
| Technique | Example |
|---|---|
| Substitution | : replace with in |
| Multiplication | : multiply series by |
| Differentiation | : differentiate |
| Integration | : integrate |
| Addition | : add two series |
AP Tip: Building from known series is MUCH faster than computing derivatives from scratch. Always try this first.
Worked Examples
Example 1:
Example 2: (using identity)
Wait:
Key Insight: Using trig identities + known series is often the fastest approach.
Manipulation Practice
Series Construction
Quick Coefficient
Summary
- Always try manipulating known series before computing derivatives
- Substitution, multiplication, and differentiation/integration are the main tools
- Trig identities can simplify series construction
- Only even/odd powers? Pay attention to symmetry
Next: Part 4 — Taylor's Theorem and the Remainder.
Part 4: Graphs and Interpretation
Taylor & Maclaurin — Taylor's Theorem & Remainder
Part 4 of 7 — The Lagrange Error Bound
Taylor's Theorem
If has continuous derivatives, then:
where the remainder (error of approximation).
The Lagrange Error Bound
where on the interval between and .
Comparison of Error Bounds
| Bound | When to Use | Formula |
|---|---|---|
| Lagrange | Any Taylor polynomial | $M |
| AST | Alternating Taylor series | $ |
AP Tip: Use the AST error bound when the series alternates — it's simpler. Use Lagrange when it doesn't alternate or when specifically asked.
Example: Bound the Error of at
For the Lagrange bound:
Actual: , error . The bound () is correct and conservative.
Common Values
| Function | on | |
|---|---|---|
| (or use as crude bound) | ||
| or | always! | |
| or | always! |
Lagrange Error Practice
Error Bound Decisions
Lagrange Computation
Summary
- Lagrange Error:
- Find by bounding on the interval
- For : always
- For : (or use crude bound like )
- Use AST when series alternates (it's tighter and easier)
Next: Part 5 — AP FRQ Strategies for Taylor Series.
Part 5: Applications
Taylor & Maclaurin — AP FRQ Strategies
Part 5 of 7 — Exam Techniques
The FRQ Taylor Series Question
This appears on virtually EVERY BC exam. The typical structure:
Part (a): Write the first 4 nonzero terms and the general term of the Taylor/Maclaurin series for .
Part (b): Find the interval/radius of convergence.
Part (c): Use the series to approximate a value or integral.
Part (d): Show the approximation has error less than some bound.
Part (a) Strategy
| If is... | Strategy |
|---|---|
| A known function (, , etc.) | Write the known series directly |
| A composition/product | Manipulate known series |
| An unfamiliar function | Compute derivatives at center |
| Given as a DE solution | Match coefficients |
AP Tip: "General term" means write notation with . This is where students lose the most points — verify your general term by checking it produces the first few terms correctly.
Part (b): Interval of Convergence
Always use Ratio Test → test endpoints.
Write your answer as an interval with proper notation: , not " to ."
Part (c): Approximation
Substitute the given value into your series:
Part (d): Error Bound
Choose between:
- AST Error Bound if the series alternates (simpler!)
- Lagrange Error Bound if not alternating or specifically asked
Template for AST: "Since the series is alternating with decreasing terms converging to , the error is bounded by the first omitted term: ."
Template for Lagrange: "By Taylor's theorem, where "
Scoring Insight
Each part is typically worth 2-3 points. Justification language matters — use precise mathematical statements.
AP Question Types
FRQ Decisions
FRQ Practice
Summary
- The Taylor FRQ has a predictable structure: series → IOC → approx → error
- Use known series when possible; compute derivatives as last resort
- For error bounds: AST when alternating, Lagrange otherwise
- Verify your general term reproduces the terms you wrote
- Show ALL work — the AP graders need to see your reasoning
Next: Part 6 — Problem-Solving Workshop.
Part 6: Exam Strategy
Taylor & Maclaurin — Problem-Solving Workshop
Part 6 of 7 — Mixed Practice
Workshop Focus
This workshop covers the full range of Taylor series tasks:
- Computing series from scratch
- Manipulating known series
- Finding intervals of convergence
- Error bound calculations
- Integrating/differentiating series
Workshop Problems
Series Identification
Derivative from Series
Workshop Takeaways
- Derivative table method for unfamiliar functions (like )
- Binomial series for when is not a positive integer
- Series evaluation by identifying the function
- Integration of series for functions with no elementary antiderivative
Next: Part 7 — Comprehensive Review.
Part 7: Mixed Review
Taylor & Maclaurin — Comprehensive Review
Part 7 of 7 — Complete Topic Review
Master Reference
| Concept | Key Formula |
|---|---|
| Taylor series | |
| Maclaurin | Taylor at |
| Partial sum through degree | |
| Lagrange error | $ |
| Coefficient ↔ derivative | ↔ |
The Six Essential Series
Key Fact: Taylor/Maclaurin series is the single most heavily tested BC topic. Expect 4+ MC questions and a full FRQ.
Comprehensive Review MC
More Review
Final Drill
Final Challenge
Taylor & Maclaurin — Complete Summary
You've mastered:
- Taylor formula —
- Computing from scratch — derivative tables
- Known series manipulation — substitution, products, differentiation, integration
- Lagrange error bound —
- AP FRQ strategies — the 4-part structure
- Coefficient-derivative connection —
Up Next: Lagrange Error Bound — deeper exploration of remainder estimation.