CALCULUS · INFINITE PROCESSES

Sequences & series

Sequences describe ordered values. Series add those values. The central question is whether an infinite process approaches a finite limit — and, if it does, how fast and why.

\[a_n\to L\qquad\sum_{n=1}^{\infty}a_n=\lim_{N\to\infty}\sum_{n=1}^{N}a_n\]limits turn infinite processes into precise mathematics

1. Sequences and convergence

A sequence is a function whose input is a positive integer: \(a_1,a_2,a_3,\ldots\). We say \(a_n\) converges to \(L\) if its terms can be made arbitrarily close to \(L\) by taking \(n\) sufficiently large.

\[a_n\to L\quad\Longleftrightarrow\quad \forall\varepsilon>0\ \exists N\ \text{such that}\ n\ge N\Rightarrow |a_n-L|<\varepsilon.\]
Convergent

\(a_n=1/n\to0\).

Divergent

\(a_n=n\) grows without bound.

Oscillatory

\(a_n=(-1)^n\) has no single limit.

Useful facts: sums, products and quotients of convergent sequences behave like ordinary limits when denominators stay away from zero. A bounded monotone sequence always converges.

2. Infinite series and partial sums

An infinite series is defined through its partial sums.

\[S_N=\sum_{n=1}^{N}a_n,\qquad \sum_{n=1}^{\infty}a_n=S\ \text{if}\ S_N\to S.\]
Necessary condition. If \(\sum a_n\) converges, then \(a_n\to0\). The converse is false: the harmonic series has terms tending to zero but still diverges.

Absolute convergence means \(\sum |a_n|\) converges. Absolute convergence guarantees convergence of \(\sum a_n\), while some alternating series converge only conditionally.

3. Benchmark series worth knowing

Geometric series

\[\sum_{n=0}^{\infty}ar^n=\frac{a}{1-r}\quad\text{for }|r|<1.\]

If \(|r|\ge1\), the geometric series diverges.

p-series

\[\sum_{n=1}^{\infty}\frac1{n^p}\quad\text{converges iff }p>1.\]

The harmonic series corresponds to \(p=1\) and diverges.

Telescoping series

Cancellation can reduce a long partial sum to just a few boundary terms. For example,

\[\sum_{n=1}^{N}\left(\frac1n-\frac1{n+1}\right)=1-\frac1{N+1}\to1.\]

4. Choosing a convergence test

TestBest used whenDecision
nth-term testFirst check for every seriesIf \(a_n\not\to0\), the series diverges.
ComparisonPositive terms resemble a known benchmarkCompare with convergent/divergent positive series.
Limit comparisonSame asymptotic size as a benchmarkIf \(a_n/b_n\to c\in(0,\infty)\), both behave alike.
Ratio testFactorials or exponentialsFor \(L=\lim|a_{n+1}/a_n|\): converge if \(L<1\), diverge if \(L>1\).
Root testTerms raised to the nth powerFor \(L=\limsup\sqrt[n]{|a_n|}\): same threshold as ratio test.
Alternating-series testSigns alternateIf magnitudes decrease to zero, the series converges.
Integral test\(a_n=f(n)\) with positive decreasing \(f\)\(\sum a_n\) and \(\int f\) converge or diverge together.
Strategy: identify structure before calculating. Geometric? p-series-like? Factorial? Alternating? A good pattern match usually reveals the shortest proof.

5. Worked examples

A — geometric series

Evaluate \(\sum_{n=0}^{\infty}3(1/4)^n\).

\[\frac{3}{1-1/4}=4.\]

B — limit comparison

Consider \(\sum_{n=1}^{\infty}\frac{3n+2}{n^2+1}\). Compare with \(1/n\):

\[\lim_{n\to\infty}\frac{(3n+2)/(n^2+1)}{1/n}=3.\]

Because the harmonic series diverges, the given series diverges too.

C — ratio test

For \(\sum n!/3^n\),

\[\left|\frac{a_{n+1}}{a_n}\right|=\frac{n+1}{3}\to\infty>1,\]

so the series diverges.

D — alternating error bound

For an alternating series with decreasing terms \(b_n\to0\), the error after \(N\) terms satisfies

\[|S-S_N|\le b_{N+1}.\]

6. Power series and Taylor series

A power series centered at \(c\) has the form

\[\sum_{n=0}^{\infty}a_n(x-c)^n.\]

There is a radius of convergence \(R\): the series converges absolutely for \(|x-c|R\), and endpoints must be checked separately.

Taylor series

If a function is represented by its Taylor series near \(c\), then

\[f(x)=\sum_{n=0}^{\infty}\frac{f^{(n)}(c)}{n!}(x-c)^n.\]

Important Maclaurin examples include

\[e^x=\sum_{n=0}^{\infty}\frac{x^n}{n!},\qquad \sin x=\sum_{n=0}^{\infty}(-1)^n\frac{x^{2n+1}}{(2n+1)!}.\]

A Taylor polynomial is a finite approximation; the remainder controls its error.

7. Interactive partial-sum explorer

Compare the first \(N\) partial sums of a geometric series, a p-series or an alternating harmonic series.

8. Common mistakes

  • Assuming \(a_n\to0\) is enough for \(\sum a_n\) to converge.
  • Using the ratio or root test and forcing a conclusion when the limit equals \(1\); those tests are then inconclusive.
  • Forgetting to test endpoints of a power series separately.
  • Confusing sequence convergence with series convergence.
  • Claiming conditional convergence without first checking that the alternating conditions hold.

9. Practice

  1. Determine whether \(a_n=(2n+1)/(n+4)\) converges and find its limit.
  2. Evaluate \(\sum_{n=0}^{\infty}5(1/3)^n\).
  3. Determine whether \(\sum 1/n^{3/2}\) converges.
  4. Use the ratio test on \(\sum 2^n/n!\).
  5. Find the radius of convergence of \(\sum_{n=1}^{\infty}(x-2)^n/n\).
Solutions

1) \(2\). 2) \(15/2\). 3) Converges because \(p=3/2>1\). 4) Ratio tends to \(0\), so it converges absolutely. 5) \(R=1\); endpoints require separate analysis.