Sequences and Series - Examples and Constructions
Convergence tests provide systematic methods for determining whether series converge without computing exact sums. These tests are essential tools for analysis and applications throughout mathematics.
Let be a continuous, positive, decreasing function on with . Then: either both converge or both diverge.
The p-series converges if and diverges if .
Proof: Use the integral test with :
- If : , so the integral converges to
- If : the integral diverges
Therefore converges, but diverges.
Suppose for all .
- If converges, then converges
- If diverges, then diverges
Test for convergence.
For : , so .
Since converges (p-series with ), by comparison, converges.
Suppose for all and where .
Then and either both converge or both diverge.
Test for convergence.
Compare with (which diverges):
Since the limit is positive and finite, and diverges, diverges.
Let and .
- If , then converges
- If (or ), then diverges
- If , the test is inconclusive
Test for convergence.
Since , the series converges.
Let and .
- If , then converges
- If , then diverges
- If , the test is inconclusive
If is a decreasing sequence with , then converges.
The series converges by the Alternating Series Test:
- is decreasing
(The sum is , though the test doesn't give us this value.)
A series is:
- Absolutely convergent if converges
- Conditionally convergent if converges but diverges
Absolute convergence implies convergence, but not conversely.
converges (Alternating Series Test) but diverges (harmonic series).
Therefore it is conditionally convergent.
These convergence tests form a comprehensive toolkit for analyzing infinite series across mathematics and applications.