Topic 10.9 Notes – Determining Absolute or Conditional Convergence
Absolute, Conditional, or Divergent
For a series , there are three possible outcomes:
- Absolutely convergent
- Conditionally convergent
- Divergent
Here’s what each one actually means.
Absolutely Convergent
A series is absolutely convergent if
That means even after removing all signs, the series still converges.
Two facts you need locked in:
- If a series is absolutely convergent, then it converges.
- Rearranging or regrouping its terms does not change the sum.
Absolute convergence is the “strongest” kind. It’s stable and predictable.
Conditionally Convergent
A series is conditionally convergent if:
- converges,
- but diverges.
This almost always shows up with alternating series.
Here’s the key idea: the series converges only because the positive and negative terms cancel in a delicate way.
Important consequence:
- Rearranging the terms can actually change the sum.
Also, wording matters on tests. If you just say “convergent,” that implies absolute convergence. If it’s conditional, say so clearly.
Divergent
A series is divergent if does not converge.
If the original series diverges, you’re done. No classification beyond that.
The Decision Process You Should Use
When you’re asked to classify a series, the order matters.
Step 1: Check Absolute Convergence
Look at
Then apply any test you know:
- Comparison or Limit Comparison
- p-series recognition
- Ratio Test
- Root Test
- Integral Test
If converges →
✔️ Absolutely convergent (and therefore convergent). Stop.
Step 2: If Absolute Convergence Fails
If diverges:
Now test the original series .
Often this means using the Alternating Series Test (AST).
- If the original converges → ✔️ Conditionally convergent
- If the original diverges → ✔️ Divergent
This two-step structure is exactly how FRQs expect your reasoning to flow.
The Alternating Series Situation
Most conditional convergence problems look like:
The Alternating Series Test requires:
- is decreasing
If all three are true, the series converges.
Now here’s the crucial move:
- Take the absolute value.
- The alternating sign disappears.
- You’re left testing .
If that new series diverges (for example, it behaves like ), then the original is conditionally convergent.
If it converges (like a -series with ), then the original was actually absolutely convergent the whole time.
The Ratio or Root Test often confirms absolute convergence quickly, especially when factorials or exponentials are involved.
When , you immediately know the series is absolutely convergent. When , it diverges. If , the test does not decide, so you try something else.
Example Patterns You Should Recognize
Example 1
- Absolute value gives , a -series with , which diverges.
- Alternating Series Test works.
✔️ Conditionally convergent
Example 2
Use the inequality .
Since converges, the original is:
✔️ Absolutely convergent
Notice this one isn’t alternating in a clean way. Absolute convergence doesn’t require neat sign patterns.
Why Absolute Convergence Is Stronger
Here’s the big structural idea.
If a series is absolutely convergent:
- It converges.
- Any rearrangement has the same sum.
If a series is only conditionally convergent:
- Rearranging can change the value.
- The convergence depends on cancellation.
That rearrangement fact is explicitly testable. It’s not trivia.