Unit 10.9 – Determining Absolute or Conditional Convergence BC ONLY
AP® Calculus BC | Understanding the Strength of Convergence
Why This Matters: Not all convergent series are created equal! Absolute convergence is the strongest form of convergence—series that converge absolutely behave nicely and can be rearranged freely. Conditional convergence is weaker—series converge but only because positive and negative terms cancel carefully. Understanding this distinction is crucial for Unit 10!
🎯 Absolute vs. Conditional Convergence
Fundamental Definitions
ABSOLUTE CONVERGENCE
A series \(\sum a_n\) converges absolutely if:
The series of absolute values converges
CONDITIONAL CONVERGENCE
A series \(\sum a_n\) converges conditionally if:
- \(\sum a_n\) converges, BUT
- \(\sum |a_n|\) diverges
Converges, but NOT absolutely
⭐ The Fundamental Theorem
Absolute Convergence Implies Convergence
THE KEY THEOREM
Absolute convergence is STRONGER than regular convergence!
⚠️ IMPORTANT: The converse is NOT true! \(\sum a_n\) can converge without \(\sum |a_n|\) converging (that's conditional convergence).
📝 Logic Flow:
📊 Convergence Hierarchy
Strength of Convergence
From Strongest to Weakest:
- \(\sum |a_n|\) converges
- Can rearrange terms freely
- Most robust form of convergence
- \(\sum a_n\) converges but \(\sum |a_n|\) diverges
- CANNOT rearrange terms!
- Convergence depends on cancellation
- \(\sum a_n\) diverges
- No convergence at all
🔍 How to Determine Type of Convergence
Step-by-Step Procedure:
- Test \(\sum |a_n|\) first (absolute values)
- Use ratio test, comparison test, p-series, etc.
- If \(\sum |a_n|\) converges:
- Series converges ABSOLUTELY
- Done! No need to test original series
- If \(\sum |a_n|\) diverges:
- Now test original series \(\sum a_n\)
- If original series converges:
- Series converges CONDITIONALLY
- If original series also diverges:
- Series DIVERGES
💡 Pro Tip: Always test absolute convergence FIRST. If it converges absolutely, you're done—that implies regular convergence too!
📖 Comprehensive Worked Examples
Example 1: Absolute Convergence
Problem: Determine if \(\sum_{n=1}^{\infty} \frac{(-1)^n}{n^2}\) converges absolutely, conditionally, or diverges.
Solution:
Step 1: Test absolute convergence
This is a p-series with \(p = 2 > 1\)
Therefore \(\sum \frac{1}{n^2}\) CONVERGES
Since \(\sum |a_n|\) converges, the series converges ABSOLUTELY
(This also means the original series converges)
Example 2: Conditional Convergence (Classic!)
Problem: Determine if \(\sum_{n=1}^{\infty} \frac{(-1)^{n+1}}{n}\) converges absolutely, conditionally, or diverges.
Step 1: Test absolute convergence
This is the harmonic series, which DIVERGES
So the series does NOT converge absolutely
Step 2: Test original series
\(\sum \frac{(-1)^{n+1}}{n} = 1 - \frac{1}{2} + \frac{1}{3} - \frac{1}{4} + \cdots\)
This is alternating harmonic series
Check AST: \(b_n = \frac{1}{n}\) is positive, decreasing, and \(\lim b_n = 0\) ✓
By Alternating Series Test, it CONVERGES
Series converges but NOT absolutely → CONDITIONALLY CONVERGENT
(This is the classic example of conditional convergence!)
Example 3: Divergent Series
Problem: Classify \(\sum_{n=1}^{\infty} \frac{(-1)^n n}{n+1}\).
Check nth-term test:
Since limit doesn't go to zero, series DIVERGES by nth-term test
Series DIVERGES
Example 4: Using Ratio Test
Problem: Classify \(\sum_{n=1}^{\infty} \frac{(-1)^n 3^n}{n!}\).
Test absolute convergence using Ratio Test:
By Ratio Test, \(\sum |a_n|\) converges
Series converges ABSOLUTELY by Ratio Test
Example 5: Alternating p-Series
Problem: For what values of \(p\) does \(\sum_{n=1}^{\infty} \frac{(-1)^n}{n^p}\) converge:
(a) Absolutely?
(b) Conditionally?
Part (a): Absolute convergence
This is p-series: converges when \(p > 1\)
Answer (a): Converges absolutely for \(p > 1\)
Part (b): Conditional convergence
Need: original converges BUT absolute doesn't
Original \(\sum \frac{(-1)^n}{n^p}\) converges by AST when \(p > 0\)
Absolute \(\sum \frac{1}{n^p}\) diverges when \(p \leq 1\)
Answer (b): Converges conditionally for \(0 < p \leq 1\)
📊 Complete Classification Guide
| Condition | Classification | Can Rearrange? |
|---|---|---|
| \(\sum |a_n|\) converges | Absolutely Convergent | YES ✓ |
| \(\sum a_n\) conv., \(\sum |a_n|\) div. | Conditionally Convergent | NO ✗ |
| \(\sum a_n\) diverges | Divergent | N/A |
⭐ Famous Series Classifications
| Series | Classification | Reason |
|---|---|---|
| \(\sum \frac{(-1)^{n+1}}{n}\) | Conditional | AST works, harmonic diverges |
| \(\sum \frac{(-1)^n}{n^2}\) | Absolute | p-series p=2 converges |
| \(\sum \frac{(-1)^n}{\sqrt{n}}\) | Conditional | AST works, p=1/2 diverges |
| \(\sum \frac{(-1)^n}{n^{3/2}}\) | Absolute | p-series p=3/2 converges |
| \(\sum \frac{(-1)^n \cdot n!}{2^n}\) | Diverges | Ratio test L > 1 |
💡 Essential Tips & Strategies
✅ Success Strategies:
- Test absolute FIRST: If converges, you're done!
- Remove absolute value signs: When testing \(\sum |a_n|\)
- Alternating series often conditional: Check both tests
- Ratio test gives absolute: If it shows convergence
- State type clearly: "Absolutely" or "conditionally"
- Remember hierarchy: Absolute → Conditional → Divergent
- Can't rearrange conditional: Important property!
- p-series boundary: p > 1 absolute, 0 < p ≤ 1 conditional
🔥 Quick Decision Tree:
- Does \(\sum |a_n|\) converge? → YES = Absolute, done!
- Does \(\sum |a_n|\) converge? → NO = not absolute
- Does \(\sum a_n\) converge? → YES = Conditional
- Does \(\sum a_n\) converge? → NO = Divergent
❌ Common Mistakes to Avoid
- Mistake 1: Thinking convergence implies absolute convergence (NO!)
- Mistake 2: Not testing \(\sum |a_n|\) for absolute convergence
- Mistake 3: Saying "conditionally divergent" (no such thing!)
- Mistake 4: Forgetting to remove absolute value when testing \(\sum |a_n|\)
- Mistake 5: Testing original series when absolute convergence found
- Mistake 6: Not stating which type of convergence on exams
- Mistake 7: Thinking conditional convergence is weaker than divergence
- Mistake 8: Rearranging conditionally convergent series
- Mistake 9: Not recognizing alternating harmonic as conditional
- Mistake 10: Confusing which implication works (absolute → convergence only)
📝 Practice Problems
Classify each series as absolutely convergent, conditionally convergent, or divergent:
- \(\sum_{n=1}^{\infty} \frac{(-1)^n}{n^3}\)
- \(\sum_{n=1}^{\infty} \frac{(-1)^{n+1}}{\sqrt{n}}\)
- \(\sum_{n=1}^{\infty} \frac{(-1)^n n}{n^2+1}\)
- \(\sum_{n=1}^{\infty} \frac{(-1)^n 2^n}{n!}\)
- \(\sum_{n=1}^{\infty} \frac{(-1)^{n+1}}{n \ln n}\) (n ≥ 2)
Answers:
- Absolutely convergent (p-series p=3 converges)
- Conditionally convergent (AST works, p=1/2 diverges)
- Conditionally convergent (AST works, absolute diverges by LCT with 1/n)
- Absolutely convergent (Ratio Test: L=0)
- Conditionally convergent (AST works, integral test shows absolute diverges)
✏️ AP® Exam Success Tips
What AP® Graders Look For:
- Test absolute convergence first: Show \(\sum |a_n|\)
- State test used: "By p-series test..." or "By Ratio Test..."
- Show work for absolute test: Don't skip steps
- If absolute diverges: Then test original series
- State conclusion clearly: "Absolutely convergent" or "Conditionally convergent"
- Justify both parts: Why absolute diverges AND why original converges
- Use proper notation: \(\sum |a_n|\) with absolute value bars
- Don't say "conditionally divergent": Not a thing!
💯 Exam Strategy:
- Always test absolute convergence FIRST
- Write \(\sum |a_n|\) explicitly
- Apply appropriate convergence test to absolute series
- If converges: state "absolutely convergent" and STOP
- If diverges: now test original series \(\sum a_n\)
- If original converges: "conditionally convergent"
- If original diverges: "divergent"
- State which tests you used for each step
⚡ Quick Reference Guide
ABSOLUTE VS CONDITIONAL CONVERGENCE
Absolute Convergence:
- \(\sum |a_n|\) converges
- Implies \(\sum a_n\) converges
- Strongest form
- Can rearrange terms
Conditional Convergence:
- \(\sum a_n\) converges
- \(\sum |a_n|\) diverges
- Weaker form
- CANNOT rearrange!
Testing Procedure:
- Test \(\sum |a_n|\) first
- If converges → absolutely convergent
- If diverges → test \(\sum a_n\)
- If converges → conditionally convergent
- If diverges → divergent
Remember:
- Always test absolute FIRST!
- Absolute ⇒ Convergent (not reverse!)
- Alternating harmonic = classic conditional!
Master Absolute vs Conditional Convergence! Absolute convergence: \(\sum |a_n|\) converges (strongest form)—implies regular convergence and allows term rearrangement. Conditional convergence: \(\sum a_n\) converges but \(\sum |a_n|\) diverges (weaker)—convergence depends on cancellation, cannot rearrange terms. Key theorem: absolute convergence ⇒ convergence (but NOT reverse!). Testing procedure: (1) test \(\sum |a_n|\) first; if converges → absolutely convergent (done!); if diverges → (2) test \(\sum a_n\); if converges → conditionally convergent; if diverges → divergent. Classic example: alternating harmonic \(\sum \frac{(-1)^{n+1}}{n}\) converges conditionally (to ln 2) because AST works but \(\sum \frac{1}{n}\) diverges. Alternating p-series: absolutely convergent for p > 1, conditionally for 0 < p ≤ 1, divergent for p ≤ 0. This distinction is crucial—appears on every BC exam! Master the testing hierarchy! 🎯✨