Infinite Geometric Series

Learning goals

  • Define an infinite sum through its partial sums
  • Decide whether a geometric series with a≠0a \ne 0 converges, using ∣r∣<1|r| < 1
  • Find its sum with S=a1−rS = \tfrac{a}{1-r}
  • Distinguish two ways a series can diverge, running away and never settling
  • Turn any repeating decimal into an exact fraction

An infinite sum needs a definition

You cannot perform infinitely many additions. What you can do, for any nn you like, is stop early and add the first nn terms. That is an ordinary finite sum, and it has a name: the nn-th partial sum, written SnS_n.

For the cake, the partial sums are

S1=12,S2=12+14=34,S3=78,S4=1516,S10=10231024.S_1 = \tfrac12, \qquad S_2 = \tfrac12 + \tfrac14 = \tfrac34, \qquad S_3 = \tfrac78, \qquad S_4 = \tfrac{15}{16}, \qquad S_{10} = \tfrac{1023}{1024}.

Each of these is a perfectly ordinary number, computed with finitely many additions. Nothing infinite has happened. But look at what the list is doing: the partial sums are marching toward 11. The gap between SnS_n and 11 is exactly (12)n\left(\tfrac12\right)^n, the size of the piece you just took. The cake still on the plate always matches the last slice you cut, and that leftover shrinks as fast as you please.

That observation is what we promote into a definition.

Definition. Given an endless list of terms, form its partial sums S1,S2,S3,…S_1, S_2, S_3, \ldots . Suppose those partial sums close in on a single number SS, meaning they get and then stay as near to SS as you care to demand. Then we say the series converges, and we define its sum to be SS. If the partial sums do not close in on any single number, the series diverges and it has no sum at all.

This is a definition, not a fact to prove: we are deciding what “infinite sum” will mean, and choosing it so that it agrees with ordinary addition on any finite list. The phrase “close in on” stands in for the precise idea of a limit, which calculus will define carefully. Here we use it in the everyday sense: gets close, and stays close.

Halving the cake foreverA bar of length 1 split into pieces 1/2, 1/4, 1/8, 1/16 and so on. The partial sums 1/2, 3/4, 7/8 are marked below the bar and close in on 1.1/21/41/8…01/23/47/81partial sums
The pieces of the cake and the partial sums they build. After n cuts you have taken 1 minus (1/2)^n of the cake, so the leftover is exactly the size of the piece you just took. No partial sum ever reaches 1, and they close in on nothing else.

There is a notation for the series itself. The endless sum a+ar+ar2+⋯a + ar + ar^2 + \cdots is written

∑n=1∞a r n−1.\sum_{n=1}^{\infty} a\,r^{\,n-1}.

The ∞\infty on top is not a number, and nothing is ever substituted for it. The whole symbol names the series itself, the endless list of terms being added. When its partial sums close in on a single number, that same symbol also stands for that number, the sum. When they do not, the series diverges, and the symbol still names the series, just one with no sum.

Check your understanding

A series has nn-th partial sum Sn=4−43nS_n = 4 - \dfrac{4}{3^n}, so S1=83S_1 = \tfrac{8}{3}, S2=329S_2 = \tfrac{32}{9}, S3=10427S_3 = \tfrac{104}{27}, and so on. What is the sum of the series?

Answer choices

The partial sums of a geometric series

A geometric series is one whose terms have a constant ratio rr:

a+ar+ar2+ar3+⋯ ,n-th term ar n−1.a + ar + ar^2 + ar^3 + \cdots, \qquad \text{$n$-th term } a r^{\,n-1}.

The previous lesson already did the hard finite work. For r≠1r \neq 1,

Sn  =  a+ar+⋯+ar n−1  =  a(1−r n)1−r.S_n \;=\; a + ar + \cdots + ar^{\,n-1} \;=\; \frac{a\left(1 - r^{\,n}\right)}{1 - r}.

That formula is exact for every nn, and it is the whole reason geometric series are the ones we can handle. Now split the single fraction into two pieces, one of which contains nn and one of which does not:

Sn  =  a1−r  −  a1−r⋅r n.S_n \;=\; \frac{a}{1-r} \;-\; \frac{a}{1-r}\cdot r^{\,n}.

Read that carefully, because the rest of the lesson is already visible in it. The first piece, a1−r\tfrac{a}{1-r}, is a fixed number: it is the same for S1S_1 and for S1,000,000S_{1{,}000{,}000}. The second piece is that same fixed number multiplied by r nr^{\,n}. So the question “what do the partial sums do?” has collapsed into a single much smaller question: what does r nr^{\,n} do as nn grows?

The one fact we borrow from calculus

Everything now rests on the behavior of the powers of rr, and here we have to be honest with you.

The Powers Fact. Let rr be a real number.

Watch it happen. Multiplying repeatedly by a number smaller than 11 in size drives the size down; multiplying repeatedly by a number larger than 11 in size drives it up. The values below are rounded.

nn(1/2)n(1/2)^n(0.9)n(0.9)^n(1.1)n(1.1)^n
110.50.50.90.91.11.1
550.0310.0310.5900.5901.6111.611
10100.000980.000980.3490.3492.5942.594
20200.000000950.000000950.1220.1226.7276.727
50508.9×10−168.9 \times 10^{-16}0.00520.0052117.4117.4

A table is not an argument, and it is easy to over-claim from one. Shrinking is not enough on its own: the numbers 1+1n1 + \tfrac1n shrink at every step too, and they close in on 11, not on 00. What is special about r nr^{\,n} when ∣r∣<1|r| < 1 is that it shrinks by the same factor every step, which is strong enough to beat any tolerance you name, however small. A negative ratio needs no extra care: ∣r n∣=∣r∣ n\left|r^{\,n}\right| = |r|^{\,n}, so only the size of the power is ever in question, and the sign just flips back and forth.

The table is evidence, not proof. “Closes in on 00” has not been given a precise meaning anywhere in this course; supplying that meaning is the definition of a limit, and proving the Powers Fact from it is a calculus result you will meet later. We are borrowing the fact here, out in the open, and calculus is where the borrowing gets paid back.

The sum formula

Grant the Powers Fact, and the rest is short. Recall the split from before:

Sn=a1−r−c r n,where c=a1−r.S_n = \frac{a}{1-r} - c\,r^{\,n}, \qquad \text{where } c = \frac{a}{1-r}.

The first piece never changes with nn. The second piece is that same fixed number cc times r nr^{\,n}, and the Powers Fact says r nr^{\,n} closes in on 00 whenever ∣r∣<1|r| < 1. A fixed number times something closing in on 00 also closes in on 00, so the whole second piece vanishes and the partial sums close in on a1−r−0=a1−r\tfrac{a}{1-r} - 0 = \tfrac{a}{1-r}. By the definition of an infinite sum, that is the series’ sum.

Convergence formula. If ∣r∣<1|r| < 1, then

a+ar+ar2+⋯=a1−r.a + ar + ar^2 + \cdots = \frac{a}{1-r}.

One more thing falls out of the split for free. Writing S=a1−rS = \tfrac{a}{1-r}, the split above says Sn=S(1−r n)S_n = S\left(1 - r^{\,n}\right), so stopping after nn terms leaves an error of exactly

S−Sn=S r n.S - S_n = S\,r^{\,n}.

That leftover is not merely small: it is a known number, and its size, ∣S−Sn∣=∣S∣ ∣r∣ n|S - S_n| = |S|\,|r|^{\,n}, shrinks by a factor of ∣r∣|r| with every extra term. It is the same thing you saw in the cake, where S=1S = 1 and r=12r = \tfrac12: after nn cuts the uneaten leftover is (12)n\left(\tfrac12\right)^n, exactly the size of the piece you just took.

Worked example 1 Sum 12+6+3+32+⋯12 + 6 + 3 + \tfrac{3}{2} + \cdots

First find the ratio by dividing a term by the one before it, and check that it really is constant:

612=12,36=12,3/23=12.\frac{6}{12} = \frac12, \qquad \frac{3}{6} = \frac12, \qquad \frac{3/2}{3} = \frac12 .

So a=12a = 12 and r=12r = \tfrac12. Since ∣12∣<1\left|\tfrac12\right| < 1, the series converges and the formula applies:

S=a1−r=121−12=1212=24.S = \frac{a}{1-r} = \frac{12}{1 - \tfrac12} = \frac{12}{\tfrac12} = 24 .

The partial sums 12,18,21,22.5,23.25,…12, 18, 21, 22.5, 23.25, \ldots are indeed creeping up on 2424, and by the error formula the gap after nn terms is exactly 24(12)n24\left(\tfrac12\right)^n.

Worked example 2 Sum 9−3+1−13+⋯9 - 3 + 1 - \tfrac{1}{3} + \cdots

The terms alternate in sign, which means rr is negative:

r=−39=−13,check: 1−3=−13.r = \frac{-3}{9} = -\frac13, \qquad \text{check: } \frac{1}{-3} = -\frac13 .

Here ∣r∣=13<1|r| = \tfrac13 < 1, so the series converges. The one place to be careful is the denominator, where subtracting a negative turns into adding:

S=91−(−13)=91+13=943=9⋅34=274.S = \frac{9}{1 - \left(-\tfrac13\right)} = \frac{9}{1 + \tfrac13} = \frac{9}{\tfrac43} = 9 \cdot \frac34 = \frac{27}{4} .

A sign slip here is the single most common error in this lesson. The denominator is 43\tfrac43, not 23\tfrac23. Sanity check the answer against the partial sums 9,6,7,6.6‾,…9, 6, 7, 6.\overline{6}, \ldots, which are closing in on 6.756.75 from both sides.

Check your understanding

What is the sum of 8+2+12+18+⋯8 + 2 + \tfrac{1}{2} + \tfrac{1}{8} + \cdots?

Answer choices

Exactly when does a geometric series converge?

The formula needed ∣r∣<1|r| < 1. What happens when that fails? The series has no sum, but it is worth seeing how the partial sums fail, because they fail in two genuinely different ways.

Case r=1r = 1. Every term equals aa, so Sn=naS_n = na. (The partial-sum formula is not even available here: it divides by 1−r=01 - r = 0.) If a≠0a \neq 0, the sizes ∣Sn∣=n∣a∣|S_n| = n|a| pass every bound. The partial sums run away.

Case r=−1r = -1. The terms are a,−a,a,−a,…a, -a, a, -a, \ldots, so the partial sums are a,0,a,0,…a, 0, a, 0, \ldots . If a≠0a \neq 0 those are two different numbers, and the partial sums hop between them forever. Nothing runs away here; every partial sum is aa or 00, so they stay in a bounded pen. They simply never settle on one number, and the definition demands one number. Diverging does not mean blowing up. It means not settling, and this is the case that proves the two are different.

Case ∣r∣>1|r| > 1. Split the partial sum again, Sn=a1−r−c r nS_n = \tfrac{a}{1-r} - c\,r^{\,n} with c=a1−rc = \tfrac{a}{1-r}. The first piece is fixed. If a≠0a \neq 0 then c≠0c \neq 0, and by the Powers Fact the sizes ∣r n∣\left|r^{\,n}\right| pass every bound, so the sizes ∣c r n∣=∣c∣∣r n∣\left|c\,r^{\,n}\right| = |c|\left|r^{\,n}\right| do too. A fixed number minus something unbounded is unbounded, so, when a≠0a \neq 0, the partial sums run away again.

The degenerate case a=0a = 0. The previous lesson required a1≠0a_1 \neq 0 for a geometric sequence, so the all-zeros list 0,0,0,…0, 0, 0, \ldots was never one of those. But the series a+ar+ar2+⋯a + ar + ar^2 + \cdots is just an algebraic expression, defined for any real aa and rr, and setting a=0a = 0 is a legal thing to do to that expression even though it produces no genuine geometric sequence underneath. Every term is 0⋅r n−1=00 \cdot r^{\,n-1} = 0, every partial sum is 00, and the partial sums close in on 00 about as convincingly as anything ever has. The all-zeros series converges to 00 no matter what rr is, even r=10r = 10.

That last case is exactly why you must not repeat the slogan you will hear everywhere, that “a geometric series converges exactly when ∣r∣<1|r| < 1.” As stated, it is false. The forward half holds: ∣r∣<1|r| < 1 does force convergence, for every aa. The other half fails, and the all-zeros series with r=10r = 10 is the counterexample: it converges while ∣r∣≥1|r| \geq 1. One hypothesis repairs the statement.

Convergence criterion. Let a≠0a \neq 0. The infinite geometric series a+ar+ar2+⋯a + ar + ar^2 + \cdots converges if and only if ∣r∣<1|r| < 1, and in that case its sum is a1−r\dfrac{a}{1-r}.

Both directions are now in hand. If ∣r∣<1|r| < 1, the theorem above builds the sum. If ∣r∣≥1|r| \geq 1, one of the three cases above applies (r=1r = 1, r=−1r = -1, or ∣r∣>1|r| > 1), and in each of them the partial sums fail to settle, so the series diverges. The hypothesis a≠0a \neq 0 is not decoration: it is the whole difference between a true biconditional and a false one.

One harmless edge deserves a mention. The previous lesson also required r≠0r \neq 0 for a genuine geometric sequence, for the same reason as a1≠0a_1 \neq 0: it keeps the ratio an+1/ana_{n+1}/a_n defined. Plug r=0r = 0 into the series expression anyway and it reads a+0+0+⋯a + 0 + 0 + \cdots, whose sum is plainly aa, and the formula agrees: a1−0=a\tfrac{a}{1-0} = a. No special case is needed.

Converging hops versus a permanent bounceNumber line one shows shrinking hops closing in on 2/3. Number line two shows equal hops between 0 and 1 that never settle.r = -1/2, hops shrink, the sums converge01S = 2/3r = -1, hops never shrink, the sums diverge01partial sums 1, 0, 1, 0, … forever
Two ways to fail, and one way to succeed. With r = -1/2 the partial sums overshoot and undershoot, but each hop is half the last, so they close in on 2/3. With r = -1 the hops never shrink, so the partial sums bounce between 1 and 0 forever. Both stay bounded; only the first converges.

Check your understanding

Exactly one of these infinite geometric series converges. Which one?

Answer choices

Every repeating decimal is a geometric series

Decimal notation is an infinite sum in disguise. Writing 0.4444…0.4444\ldots means

410+4100+41000+⋯ ,\frac{4}{10} + \frac{4}{100} + \frac{4}{1000} + \cdots,

which is geometric with a=410a = \tfrac{4}{10} and r=110r = \tfrac{1}{10}. Since ∣r∣<1|r| < 1 the series converges, and the sum is 4/109/10=49\tfrac{4/10}{9/10} = \tfrac49. So a repeating decimal is a fraction, always, and now you know why: repetition is exactly what makes the digit blocks form a geometric series.

The famous case is 0.999…0.999\ldots . By the same reading,

0.999…=910+9100+91000+⋯=9101−110=910910=1.0.999\ldots = \frac{9}{10} + \frac{9}{100} + \frac{9}{1000} + \cdots = \frac{\tfrac{9}{10}}{1 - \tfrac{1}{10}} = \frac{\tfrac{9}{10}}{\tfrac{9}{10}} = 1 .

Every partial sum here, 0.90.9, 0.990.99, 0.9990.999, is less than 11. Every single one. And the sum is exactly 11, computed directly from the formula above. That can look like a contradiction: how can a sum equal 11 when no partial sum ever does? It is not one, because the sum was never defined to be one of the partial sums. It is defined to be the number they close in on, and the gap between SnS_n and 11 is exactly (110)n\left(\tfrac{1}{10}\right)^n, a gap that shrinks past any positive amount you could name. There is no room left between 0.999…0.999\ldots and 11: they are two names for one number.

Worked example 3 Write 0.54‾0.\overline{54} as a fraction

The repeating block is 5454, two digits long, so read the decimal as a sum of blocks:

0.54‾=54100+5410,000+541,000,000+⋯ .0.\overline{54} = \frac{54}{100} + \frac{54}{10{,}000} + \frac{54}{1{,}000{,}000} + \cdots .

Each block is worth 1100\tfrac{1}{100} of the one before it, since it sits two decimal places further right. So this is geometric with a=54100a = \tfrac{54}{100} and r=1100r = \tfrac{1}{100}, and ∣r∣<1|r| < 1:

S=541001−1100=5410099100=5499=611.S = \frac{\tfrac{54}{100}}{1 - \tfrac{1}{100}} = \frac{\tfrac{54}{100}}{\tfrac{99}{100}} = \frac{54}{99} = \frac{6}{11} .

The 100100s cancel, which is where the familiar shortcut “put the repeating block over as many nines as it has digits” comes from. It was never a trick; it is the sum of a geometric series.

Worked example 4 Write 0.16‾0.1\overline{6} as a fraction

Here the repetition starts late: the decimal is 0.16666…0.16666\ldots, so the 11 is a one-off and only the 66s repeat. Split the number into the part that repeats and the part that does not:

0.16‾=110+(6100+61000+610,000+⋯ ).0.1\overline{6} = \frac{1}{10} + \left(\frac{6}{100} + \frac{6}{1000} + \frac{6}{10{,}000} + \cdots\right).

The bracket is geometric with a=6100a = \tfrac{6}{100} and r=110r = \tfrac{1}{10}, so it sums to

61001−110=6100910=6100⋅109=115.\frac{\tfrac{6}{100}}{1 - \tfrac{1}{10}} = \frac{\tfrac{6}{100}}{\tfrac{9}{10}} = \frac{6}{100}\cdot\frac{10}{9} = \frac{1}{15}.

Add back the stray tenth:

0.16‾=110+115=330+230=530=16.0.1\overline{6} = \frac{1}{10} + \frac{1}{15} = \frac{3}{30} + \frac{2}{30} = \frac{5}{30} = \frac16 .

And indeed 16=0.1666…\tfrac16 = 0.1666\ldots, which is a good check to run whenever you do one of these.

Check your understanding

What fraction equals 0.27‾0.\overline{27}?

Answer choices

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Why a fixed number times a vanishing power still vanishes

The lesson states the result: once you grant the Powers Fact, the second piece of the split partial sum closes in on 00. Here is that step made precise.

If ∣r∣<1|r| < 1, then a+ar+ar2+⋯=a1−ra + ar + ar^2 + \cdots = \dfrac{a}{1-r}#

If a=0a = 0 every term is 00, every partial sum is 00, and the formula returns 01−r=0\tfrac{0}{1-r} = 0 as well, so that case is settled. Take a≠0a \neq 0 from here on.

Because ∣r∣<1|r| < 1 we certainly have r≠1r \neq 1, so the partial-sum formula applies to every nn, and splitting it as above gives

Sn=a1−r−c r n,where c=a1−r≠0.S_n = \frac{a}{1-r} - c\,r^{\,n}, \qquad \text{where } c = \frac{a}{1-r} \neq 0 .

The first piece never changes with nn. The second piece is the fixed number cc times r nr^{\,n}, and by the Powers Fact r nr^{\,n} closes in on 00. Multiplying by cc does not spoil that. To force ∣c r n∣\left|c\,r^{\,n}\right| below any tolerance you name, force ∣r n∣\left|r^{\,n}\right| below that tolerance divided by ∣c∣|c|, which the Powers Fact says you can do. So the second piece closes in on 00 too, and the partial sums close in on a1−r−0\tfrac{a}{1-r} - 0.

By the definition of an infinite sum, that settles it. The series converges, and its sum is a1−r\tfrac{a}{1-r}.

How many terms are enough to land within a target distance of the sum

Because the error after nn terms is exactly S r nS\,r^{\,n}, you can answer a question no table could: how many terms are enough? Logarithms turn the demand into an inequality about nn, and you solve it.

Worked example How many terms of 5+4+3.2+⋯5 + 4 + 3.2 + \cdots land within 0.010.01 of the sum?

The ratio is r=45=0.8r = \tfrac{4}{5} = 0.8 and the first term is a=5a = 5, so the series converges and

S=51−0.8=50.2=25.S = \frac{5}{1 - 0.8} = \frac{5}{0.2} = 25 .

The error after nn terms is S r n=25(0.8)nS\,r^{\,n} = 25(0.8)^n, and you want it under 0.010.01:

25(0.8)n<0.01⟺(0.8)n<0.0004.25(0.8)^n < 0.01 \qquad \Longleftrightarrow \qquad (0.8)^n < 0.0004 .

Take logarithms. Both sides are positive, and log⁡\log is increasing, so the inequality survives intact:

nlog⁡(0.8)<log⁡(0.0004).n \log(0.8) < \log(0.0004).

Since log⁡(0.8)≈−0.0969\log(0.8) \approx -0.0969 is negative, dividing by it flips the inequality:

n>log⁡(0.0004)log⁡(0.8)≈−3.3979−0.0969≈35.06.n > \frac{\log(0.0004)}{\log(0.8)} \approx \frac{-3.3979}{-0.0969} \approx 35.06 .

So the fewest that works is n=36n = 36, and every nn beyond that works too. Checking the boundary is worth the ten seconds: 25(0.8)35≈0.010125(0.8)^{35} \approx 0.0101, still a hair too big, while 25(0.8)36≈0.008125(0.8)^{36} \approx 0.0081, comfortably inside. Notice how slow this is compared with the cake, where r=12r = \tfrac12 and the same tolerance needs only seven terms, since (12)7≈0.0078\left(\tfrac12\right)^7 \approx 0.0078 while (12)6≈0.0156\left(\tfrac12\right)^6 \approx 0.0156. The closer ∣r∣|r| sits to 11, the longer the tail takes to die.

A bit of history (optional)

Zeno of Elea, a Greek thinker of the fifth century BCE, maintained that you cannot walk across a room. First you must arrive at the halfway point. From there you must arrive at half of what remains, and after that at half of the remainder. The list of errands never finishes, so a journey with no final step can never be completed. Motion, he concluded, is an illusion.

The distances Zeno listed are precisely this lesson’s cake, 12+14+18+⋯\tfrac12 + \tfrac14 + \tfrac18 + \cdots. The modern reply is not that his list secretly stops, because it does not. The reply is that adding infinitely many numbers is not an act carried out one step after another. It is a definition about partial sums, and under that definition the distances total exactly one room.

Two thousand years later the definition still had not been written, and one series made the cost obvious. In 1703 Guido Grandi, an Italian priest and mathematician, asked what 1−1+1−1+⋯1 - 1 + 1 - 1 + \cdots amounts to. Bracket the terms one way and the answer is 00. Bracket them the other way and it is 11. Substitute r=−1r = -1 into the geometric formula and it is 12\tfrac12. All three answers had defenders, and the quarrel continued for the better part of a century. Nobody involved had made an arithmetic mistake; the flaw was assuming an endless sum could be regrouped like a finite one.

None of the three answers is actually the series’ sum. A series has a sum only when its partial sums settle on one number, and Grandi’s hop between 11 and 00 forever. That is the second kind of failure you met above, the one that never settles. It is why the definition had to arrive before any formula.