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Sequences and Series

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A sequence is a list of numbers made by a rule. A series is the sum of its terms. The sequence 1, 2, 3, 4 has four terms; the series 1 + 2 + 3 + 4 is 10. A sequence question asks for a term. A series question asks for a total.

What is the nth term, and how do you find it?

The nth term is a formula that gives any term from its position: put in n = 100 and it gives the hundredth term. A term-to-term rule such as "add 3" needs 499 steps to reach term 500. See Term-to-Term Rules.

3, 7, 11, 15. The gaps are all the same size, so the rule is add 4. Full lesson: Term-to-Term Rules

When a sequence rises by the same amount each time, that amount is the common difference, and it is the coefficient of n. In 5, 8, 11, 14 the common difference is 3, so start from 3n, which gives 3, 6, 9, 12. Every term is 2 more than that, so the nth term is 3n + 2. The first term only fixes the constant, and you find the constant by subtracting. See The nth Term.

The 4 times table grows the same way, one dot ahead of ours each time. Full lesson: The nth Term

Some sequences are recognized rather than worked out: the squares 1, 4, 9, 16, the triangle numbers 1, 3, 6, 10, the powers of two 1, 2, 4, 8, and Fibonacci 1, 1, 2, 3, 5, 8, where each term is the sum of the two before it. See Sequences Worth Knowing.

1, 4, 9, 16 are the square numbers, each one a square you can draw. Full lesson: Sequences Worth Knowing

Now you

2, 8, 14, 20, … what is the nth term?

7, 16, 25, 34, … what is the nth term?

When the differences are not constant

If the first differences are not constant but the second differences are, the sequence is quadratic and its nth term contains . The coefficient of is half the second difference.

The gaps go 5, 7, 9. Their gaps are a steady 2, which is the signal. Full lesson: Quadratic Sequences

Here the second difference is 2, so the coefficient of is 1. Subtract from each term and 2, 4, 6, 8 is left, which is 2n. The nth term is n² + 2n. See Quadratic Sequences.

If instead each term is a fixed multiple of the one before, the sequence is geometric and that multiple is the common ratio. For 3, 6, 12, 24, with ratio 2, the nth term is 3 × 2ⁿ⁻¹. The exponent is n − 1 because the first term has been multiplied by the ratio zero times. See Geometric Sequences.

Divide any term by the one before and you always get the same 2 — the common ratio. Full lesson: Geometric Sequences

A recurrence relation writes the term-to-term rule in symbols, with a first term: uₙ₊₁ = uₙ + 4 and u₁ = 3 gives 3, 7, 11, 15. Without the first term the rule names no sequence. See Recurrence Relations.

Run it: from u₁ = 2, doubling and subtracting 1 walks out 2, 3, 5, 9. Full lesson: Recurrence Relations

Now you

2, 6, 12, 20, … the coefficient is…?

3, 8, 15, 24, … what comes next?

How do you add up a long list?

To add an arithmetic series, pair the terms from the outside in: first with last, second with second-last. Every pair has the same total, and there are half as many pairs as terms.

Fold the list in half: 1 with 10, 2 with 9, 3 with 8 — every pair makes the same 11. Full lesson: The Sum of an Arithmetic Series
The pairing works for any arithmetic series, because as one end rises by the common difference the other falls by the same amount. The formula S = n/2 × (first + last) is that pairing written down. See The Sum of an Arithmetic Series.

Sigma notation writes a sum in one line. The letter under the Σ is the counter, the numbers below and above it are where the counter starts and stops, and the expression to the right is the term to add. Σ 2n from n = 1 to 4 is 2 + 4 + 6 + 8 = 20. See Sigma Notation.

The little numbers are the limits: start at n = 1, stop at 4. Four terms, no more. Full lesson: Sigma Notation

A geometric series needs a different move. Write S = 3 + 6 + 12 + 24, multiply by the common ratio to get 2S = 6 + 12 + 24 + 48, and subtract the first line from the second, leaving S = 48 − 3 = 45. In letters the same subtraction gives S = a(rⁿ − 1)/(r − 1). See The Sum of a Geometric Series.

Double the sum and subtract the original: the overlapping terms wipe each other out. Full lesson: The Sum of a Geometric Series

Now you

Folding 1 + 2 + … + 10 works because…

2 + 4 + 6 + … + 20 has 10 terms. What is its sum?

Why can an infinite sum be finite?

Because the terms can shrink fast enough that the running total closes in on a limit. Add 1/2, then 1/4, then 1/8: the totals are 0.5, 0.75, 0.875. Each term covers exactly half of the gap that is left, so the total never passes 1, and the sum to infinity is that limit, 1.

The halving story again: 1/2 + 1/4 + 1/8 + … fills the bar toward 1, never past it. Full lesson: The Sum to Infinity

For a geometric series with first term a and common ratio r, the sum to infinity is a/(1 − r), and it exists only when r is strictly between −1 and 1. 8 + 4 + 2 + 1 + … has a = 8 and r = 1/2, so its sum is 8/(1 − 1/2) = 16. See The Sum to Infinity.

The condition is a shrinking multiplier: r strictly between −1 and 1. At r = 2 the sum diverges. Full lesson: The Sum to Infinity

Now you

First term 12, ratio 1/4. What is S∞?

A geometric series has a sum to infinity when…

How do you prove a formula holds for every n?

By induction. Prove the statement for n = 1, then prove that if it holds for one value of n it holds for n + 1. The first case is true, so the second is, so the third is, and the chain never stops.

Knock one domino over, and make sure each one topples the next. Full lesson: Proof by Induction: Summing 1 to n

Take 1 + 2 + … + n = n(n + 1)/2. At n = 1 both sides are 1, and adding n + 1 to both sides turns the case for n into the case for n + 1. See Proof by Induction: Summing 1 to n.

Add (n + 1) to both sides and it tidies to (n + 1)(n + 2)/2 — the very next case. Full lesson: Proof by Induction: Summing 1 to n

The inductive step assumes one instance of the statement to prove the next. It never assumes the statement itself, so it is not circular. The same two steps prove that 8ⁿ − 1 is a multiple of 7 for every n: check n = 1, then show that moving to the next case adds another multiple of 7. See Proof by Induction: Divisibility.

The first n squares and the first n cubes also have closed formulas; the cubes add to (1 + 2 + … + n)². See Sums of Squares and Cubes. The method of differences writes each term as a difference of two consecutive values: 1/(r(r + 1)) is 1/r − 1/(r + 1), so the sum from r = 1 to n collapses to 1 − 1/(n + 1). See The Method of Differences.

Written out, every piece meets its opposite in the next bracket and cancels. Full lesson: The Method of Differences

Does this series converge?

Start with the cheapest test. If the terms do not tend to zero, the series diverges. The terms of Σ n/(2n + 1) tend to 1/2, so that series diverges. This test only ever proves divergence: terms tending to zero are necessary for convergence, not sufficient. See The nth Term Test for Divergence.

The converse is false: 1/n does shrink to 0 and its sum still grows past every bound. Full lesson: The nth Term Test for Divergence

The p-series Σ 1/nᵖ converges exactly when p > 1, so Σ 1/n² converges and the harmonic series Σ 1/n, where p = 1, does not. The test compares the sum with the area under y = 1/xᵖ. See The p-Series.

Each term 1/n is a strip one wide, standing on the curve y = 1/x at its left edge. Full lesson: The p-Series

A comparison test uses a series you already know. A positive series whose terms stay below those of a convergent series converges too; one whose terms stay above those of a divergent series diverges too. Σ 1/(n² + 1) converges, because each term is below 1/n². See Comparison Tests for Series.

The ratio test handles factorials and powers. Let L be the limit of each term divided by the one before: L < 1 converges, L > 1 diverges, and L = 1 decides nothing. For Σ 2ⁿ/n! the ratio is 2/(n + 1), which tends to 0, so the series converges. See The Ratio Test.

When the signs alternate the conditions are lighter: sizes that decrease and tend to zero are enough, because the limit is trapped between consecutive partial sums. So 1 − 1/2 + 1/3 − 1/4 + … converges while the harmonic series does not. See The Alternating Series Test.

Partial sums of 1 − 1/2 + 1/3 − 1/4 + … jump over the limit, then back under it. Full lesson: The Alternating Series Test

Now you

By the ratio test, Σ 2ⁿ/n!

When L = 1, the ratio test

Turning a function into an infinite polynomial

A power series has terms containing powers of x, so it converges for some x and not others. The ratio test's condition L < 1 says x must lie within a distance R of the center, and R is the radius of convergence. The test says nothing at the two endpoints, so check each separately. For Σ xⁿ/n the radius is 1: at x = 1 it is the harmonic series and diverges, at x = −1 it alternates and converges, so the interval is −1 ≤ x < 1. See Radius and Interval of Convergence.

That is an interval: the center, and a distance R either side of it. Full lesson: Radius and Interval of Convergence

A Maclaurin series writes a function as a power series centered at 0. The nth coefficient is the nth derivative at 0 divided by n!, so the series and the function agree in value and in every derivative at 0. Know , sin x, cos x, ln(1 + x) and 1/(1 − x); the rest come from these by substituting, differentiating or integrating term by term. See The Standard Maclaurin Series.

Integrate both sides term by term and the series for ln(1 + x) appears. Full lesson: The Standard Maclaurin Series

A Taylor series uses a different center a: derivatives at a, and powers of x − a. ln x has no value at 0, so its series is built at x = 1. See Taylor Series About a Point.

Two terms already follow ln x closely near 1, and drift away as x moves further off. Full lesson: Taylor Series About a Point

Cutting a series after degree n leaves an error. The Lagrange error bound says it is at most M × |x − a|ⁿ⁺¹/(n + 1)!, where M is the largest size of the (n + 1)th derivative between a and x. For sin x to degree 3 on |x| ≤ 1, every derivative has size at most 1, so the error is at most 1/24. A bound is the most the error can be, not the error itself. See The Lagrange Error Bound.

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