Sequences, Series, Convergence, and Power Series
When an infinite sum has a finite value, the tests that decide it, and power series - the bridge from geometric discounting to Taylor expansions.
Leads to: Power series formalize Taylor expansions (2.4); geometric series price perpetuities and annuities and recur throughout fixed income.
Learning Objectives
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- Define convergence of a series via its partial sums and evaluate a geometric series.
- Apply the n-th term, ratio, and comparison tests to decide convergence.
- Distinguish absolute from conditional convergence.
- Find the radius of convergence of a power series and connect geometric series to present value.
Key Vocabulary
- Series
- The formal infinite sum ∑ a_n; it converges to S if its partial sums s_N=∑_{n≤N} a_n → S.
- Geometric series
- ∑ ar^n; converges iff |r|<1, to a/(1−r).
- n-th term test
- If a_n does not → 0, the series diverges (a necessary, not sufficient, condition).
- Ratio test
- If lim|a_{n+1}/a_n|=L, the series converges (absolutely) for L<1, diverges for L>1.
- Absolute convergence
- ∑|a_n| converges; it implies convergence and permits rearrangement.
- Radius of convergence
- The R such that a power series ∑c_n(x−a)^n converges for |x−a|<R.
A series is the limit of its partial sums
The infinite sum \(\sum_{n=0}^{\infty} a_n\) means the limit of the partial sums \(s_N=\sum_{n=0}^{N}a_n\). If that limit exists and is finite, the series converges; otherwise it diverges. The cleanest example is geometric:
Tests for convergence
The n-th term test is the first filter: if \(a_n\not\to0\), the series diverges. But \(a_n\to0\) is not enough - the harmonic series \(\sum 1/n\) has terms going to 0 yet diverges. Two workhorses decide the rest:
- Ratio test: compute \(L=\lim|a_{n+1}/a_n|\); converges if \(L\lt 1\), diverges if \(L\gt 1\), inconclusive if \(L=1\).
- Comparison test: if \(0\le a_n\le b_n\) and \(\sum b_n\) converges, so does \(\sum a_n\) (and the contrapositive for divergence).
A series is absolutely convergent if \(\sum|a_n|\) converges; absolute convergence implies convergence and lets you rearrange terms freely. The alternating harmonic series \(\sum(-1)^{n+1}/n\) converges but only conditionally - a distinction that matters for rearrangement.
Power series and Taylor
A power series \(\sum_{n=0}^{\infty} c_n(x-a)^n\) converges on an interval \(|x-a|\lt R\), where the radius of convergence \(R\) often comes from the ratio test. Taylor series (2.4) are power series whose coefficients are \(c_n=f^{(n)}(a)/n!\); where they converge to \(f\), the function is analytic.
Finance link: an annuity as a geometric series
A stream of equal payments \(C\) at the end of each year for \(n\) years, discounted at per-period rate \(i\), is a finite geometric series with ratio \(v=1/(1+i)\):
Letting \(n\to\infty\) gives the perpetuity \(\mathrm{PV}=C/i\): the infinite geometric series converges precisely because the discount ratio satisfies \(|v|\lt 1\). Discounting is a geometric series.
Interactive: partial sums approaching the limit
- Concluding convergence from a_n→0; that is necessary only. The harmonic series is the standing counterexample.
- Applying the geometric formula a/(1−r) when |r|≥1, where the series diverges.
- Using the ratio test’s L=1 case as a verdict - it is inconclusive; switch tests.
- Rearranging a conditionally convergent series and expecting the same sum (it can be changed to anything).
- Run the n-th term test first - it is free and instantly kills many divergent series.
- The ratio test is the default for factorials and exponentials in the terms.
- Absolute convergence is the ‘safe’ kind: it survives rearrangement and underlies interchange of sum and integral.
- Recognize discounting as a geometric series; perpetuity C/i and annuity formulas fall straight out.
Practice this in the Euler Lab
Computational problems that exercise exactly this technique. Each opens in the Euler Lab with a Python workbench, a progressive hint ladder, and answer checking. Tier A/B run at full scale in the browser.
Warm-up:
#2 Even Fibonacci Numbers (1%, tier A) #6 Sum Square Difference (1%, tier A) #42 Coded Triangle Numbers (2%, tier A) #12 Highly Divisible Triangular Number (3%, tier A)
Applied:
#313 Sliding Game (16%, tier B) #323 Bitwise-OR Operations on Random In (18%, tier B) #713 Turán's Water Heating System (19%, tier B)
Challenge:
#208 Robot Walks (41%, tier C) #375 Minimum of Subsequences (41%, tier C)
183 Project Euler problems in total are mapped to this lesson. Open the Euler Lab to filter them all.
Knowledge Check
Practical Exercise
(a) Determine whether \(\sum_{n=1}^{\infty}\frac{2^n}{n!}\) converges, using the ratio test. (b) An annuity pays $1{,}000 at the end of each year for 5 years at \(i=8\%\). Compute its present value as a geometric sum.
(a) \(\dfrac{a_{n+1}}{a_n}=\dfrac{2^{n+1}/(n+1)!}{2^n/n!}=\dfrac{2}{n+1}\to0\). Since \(L=0\lt 1\), the series converges absolutely (its sum is in fact \(e^2-1\)).
(b) With \(v=1/1.08\):
So the five payments are worth about \(\$3{,}993\) today - a finite geometric series summed with the annuity formula.
Lesson Summary
Formula Sheet Additions
Retrieval Practice
Close the lesson and answer from memory before checking. This is deliberate, effortful recall - the single highest-yield study action.
A: If the terms did not vanish the partial sums could not settle, so a_n→0 is required; but the harmonic series ∑1/n has terms →0 and still diverges, showing it is not sufficient.
A: ∑_{n≥0} ar^n=a/(1−r) for |r|<1; with discount ratio v=1/(1+i) a perpetuity paying C forever is C·v/(1−v)=C/i, a convergent geometric series.
Completion Checklist
- I can explain the core ideas in my own words
- I worked the derivations/examples by hand
- I completed the interactive workbench(es)
- I passed the knowledge check