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A series is the sum of the terms of a sequence. An infinite series takes the form:
The partial sums are . If the sequence of partial sums converges to a finite limit , we say the series converges and . Otherwise, the series diverges.
Geometric Series: The series converges to when .
p-Series: The series converges when and diverges when .
Power Series: A series of the form that represents a function within its radius of convergence.
Taylor Series: The power series expansion of about :
When , this is called a Maclaurin series.
If , the series diverges. Note: if the limit is 0, the test is inconclusive.
Compute :
Compute . Same conclusion rules as the Ratio Test.
If where is positive, continuous, and decreasing for :
If for all :
The alternating series converges if:
| Function | Maclaurin Series | Radius |
|---|---|---|
| Test | Best For | Key Indicator |
|---|---|---|
| Divergence | Quick elimination | Terms clearly don't approach 0 |
| Ratio | Factorials, exponentials | or in terms |
| Root | nth powers | |
| Integral | Simple decreasing functions | easily integrated |
| Comparison | Terms resemble known series | Looks like p-series or geometric |
| Alternating | Sign-alternating series | factor |
A series converges if its partial sums approach a finite number as you add more terms. A series diverges if the partial sums grow without bound or oscillate without settling on a value.
Taylor series are used to approximate complicated functions with polynomials, making them easier to compute, differentiate, or integrate. They are fundamental in physics, engineering, and numerical analysis for approximating functions near a specific point.
The radius of convergence R is the distance from the center of a power series within which the series converges. For |x - a| < R the series converges absolutely, for |x - a| > R it diverges, and at |x - a| = R you must check endpoints individually.
No. The harmonic series, which is the sum of 1/n from n=1 to infinity, diverges. Even though the terms approach zero, they do not decrease fast enough for the sum to remain finite. This is a classic example showing that terms going to zero is necessary but not sufficient for convergence.
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