Decide whether a geometric series with a=0 converges, using ∣r∣<1
Find its sum with S=1−ra
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 n you like, is stop early and
add the first n terms. That is an ordinary finite sum, and it has a name: the n-th partial sum,
written Sn.
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 1. The gap
between Sn and 1 is exactly (21)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,… . Suppose
those partial sums close in on a single number S, meaning they get and then stay as near to S as you
care to demand. Then we say the series converges, and we define its sum to be S. 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.
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+⋯ is written
n=1∑∞arn−1.
The ∞ 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 n-th partial sum Sn=4−3n4, so S1=38, S2=932, S3=27104, and so on. What is the sum of the series?
The sum of a series is whatever number its partial sums close in on, so look at how Sn is built. It is the fixed number 4, minus the piece 3n4, and that piece runs 34,94,274,…, shrinking toward nothing.
Sn=4−3n4closes in on4−0=4
No partial sum equals 4, and that is not a problem. The sum is the number they close in on, not one of them.
The partial sums of a geometric series
A geometric series is one whose terms have a constant ratio r:
a+ar+ar2+ar3+⋯,n-th term arn−1.
The previous lesson already did the hard finite work. For r=1,
Sn=a+ar+⋯+arn−1=1−ra(1−rn).
That formula is exact for every n, 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 n and one of which does
not:
Sn=1−ra−1−ra⋅rn.
Read that carefully, because the rest of the lesson is already visible in it. The first piece,
1−ra, is a fixed number: it is the same for S1 and for S1,000,000. The second
piece is that same fixed number multiplied by rn. So the question “what do the partial sums do?”
has collapsed into a single much smaller question: what does rn do as n grows?
The one fact we borrow from calculus
Everything now rests on the behavior of the powers of r, and here we have to be honest with you.
The Powers Fact. Let r be a real number.
If ∣r∣<1, the powers rn close in on 0 as n grows.
If ∣r∣>1, the sizes ∣rn∣ pass every bound as n grows.
Watch it happen. Multiplying repeatedly by a number smaller than 1 in size drives the size down;
multiplying repeatedly by a number larger than 1 in size drives it up. The values below are rounded.
n
(1/2)n
(0.9)n
(1.1)n
1
0.5
0.9
1.1
5
0.031
0.590
1.611
10
0.00098
0.349
2.594
20
0.00000095
0.122
6.727
50
8.9×10−16
0.0052
117.4
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+n1 shrink at every step too, and they close in on 1, not on 0. What is
special about rn when ∣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:
∣rn∣=∣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 0” 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=1−ra−crn,where c=1−ra.
The first piece never changes with n. The second piece is that same fixed number c times rn,
and the Powers Fact says rn closes in on 0 whenever ∣r∣<1. A fixed number times something
closing in on 0 also closes in on 0, so the whole second piece vanishes and the partial sums close
in on 1−ra−0=1−ra. By the definition of an infinite sum, that is the series’
sum.
Convergence formula. If ∣r∣<1, then
a+ar+ar2+⋯=1−ra.
One more thing falls out of the split for free. Writing S=1−ra, the split above says
Sn=S(1−rn), so stopping after n terms leaves an error of exactly
S−Sn=Srn.
That leftover is not merely small: it is a known number, and its size, ∣S−Sn∣=∣S∣∣r∣n,
shrinks by a factor of ∣r∣ with every extra term. It is the same thing you saw in the cake, where
S=1 and r=21: after n cuts the uneaten leftover is (21)n, exactly the
size of the piece you just took.
Worked example 1Sum 12+6+3+23+⋯
First find the ratio by dividing a term by the one before it, and check that it really is constant:
126=21,63=21,33/2=21.
So a=12 and r=21. Since 21<1, the series converges and the formula
applies:
S=1−ra=1−2112=2112=24.
The partial sums 12,18,21,22.5,23.25,… are indeed creeping up on 24, and by the error
formula the gap after n terms is exactly 24(21)n.
Worked example 2Sum 9−3+1−31+⋯
The terms alternate in sign, which means r is negative:
r=9−3=−31,check: −31=−31.
Here ∣r∣=31<1, so the series converges. The one place to be careful is the denominator,
where subtracting a negative turns into adding:
S=1−(−31)9=1+319=349=9⋅43=427.
A sign slip here is the single most common error in this lesson. The denominator is 34, not
32. Sanity check the answer against the partial sums 9,6,7,6.6,…, which are
closing in on 6.75 from both sides.
Check your understanding
What is the sum of 8+2+21+81+⋯?
The ratio is a term divided by the one before it, so r=82=41 (and 21/2=41 confirms it). The first term is a=8, and 41<1, so the series converges.
S=1−418=438=332
The distractors come from the usual slips: dividing by 1+41, or taking the ratio upside down as r=4.
Exactly when does a geometric series converge?
The formula needed ∣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=1. Every term equals a, so Sn=na. (The partial-sum formula is not even available
here: it divides by 1−r=0.) If a=0, the sizes ∣Sn∣=n∣a∣ pass every bound. The partial
sums run away.
Case r=−1. The terms are a,−a,a,−a,…, so the partial sums are a,0,a,0,… .
If a=0 those are two different numbers, and the partial sums hop between them forever. Nothing
runs away here; every partial sum is a or 0, 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. Split the partial sum again, Sn=1−ra−crn with
c=1−ra. The first piece is fixed. If a=0 then c=0, and by the Powers Fact the
sizes ∣rn∣ pass every bound, so the sizes ∣crn∣=∣c∣∣rn∣
do too. A fixed number minus something unbounded is unbounded, so, when a=0, the partial sums run
away again.
The degenerate case a=0. The previous lesson required a1=0 for a geometric sequence, so
the all-zeros list 0,0,0,… was never one of those. But the seriesa+ar+ar2+⋯
is just an algebraic expression, defined for any real a and r, and setting a=0 is a legal thing
to do to that expression even though it produces no genuine geometric sequence underneath. Every term is
0⋅rn−1=0, every partial sum is 0, and the partial sums close in on 0 about as
convincingly as anything ever has. The all-zeros series converges to 0no matter what r is, even
r=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.” As stated, it is false. The forward half holds: ∣r∣<1
does force convergence, for every a. The other half fails, and the all-zeros series with r=10 is
the counterexample: it converges while ∣r∣≥1. One hypothesis repairs the statement.
Convergence criterion. Let a=0. The infinite geometric series a+ar+ar2+⋯
converges if and only if∣r∣<1, and in that case its sum is 1−ra.
Both directions are now in hand. If ∣r∣<1, the theorem above builds the sum. If ∣r∣≥1, one of
the three cases above applies (r=1, r=−1, or ∣r∣>1), and in each of them the partial sums
fail to settle, so the series diverges. The hypothesis a=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=0 for a genuine
geometric sequence, for the same reason as a1=0: it keeps the ratio an+1/an defined. Plug
r=0 into the series expression anyway and it reads a+0+0+⋯, whose sum is plainly a,
and the formula agrees: 1−0a=a. No special case is needed.
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?
Read off the ratio in each case and compare its size with 1. The first has r=34, so ∣r∣>1 and the partial sums run away. The second has r=−1, so the partial sums are 7,0,7,0,… and never settle. The fourth has r=1, so Sn=2n, which passes every bound.
Third series: r=6−5,∣r∣=65<1
Only the third has ∣r∣<1, so only it converges, to 1+656=6116=1136.
Every repeating decimal is a geometric series
Decimal notation is an infinite sum in disguise. Writing 0.4444…means
104+1004+10004+⋯,
which is geometric with a=104 and r=101. Since ∣r∣<1 the series
converges, and the sum is 9/104/10=94. 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.
Every partial sum here, 0.9, 0.99, 0.999, is less than 1. Every single one. And the sum is
exactly 1, computed directly from the formula above. That can look like a contradiction: how can a
sum equal 1 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 Sn and 1
is exactly (101)n, a gap that shrinks past any positive amount you could name.
There is no room left between 0.999… and 1: they are two names for one number.
Worked example 3Write 0.54 as a fraction
The repeating block is 54, two digits long, so read the decimal as a sum of blocks:
0.54=10054+10,00054+1,000,00054+⋯.
Each block is worth 1001 of the one before it, since it sits two decimal places further
right. So this is geometric with a=10054 and r=1001, and ∣r∣<1:
S=1−100110054=1009910054=9954=116.
The 100s 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 4Write 0.16 as a fraction
Here the repetition starts late: the decimal is 0.16666…, so the 1 is a one-off and only the
6s repeat. Split the number into the part that repeats and the part that does not:
0.16=101+(1006+10006+10,0006+⋯).
The bracket is geometric with a=1006 and r=101, so it sums to
1−1011006=1091006=1006⋅910=151.
Add back the stray tenth:
0.16=101+151=303+302=305=61.
And indeed 61=0.1666…, which is a good check to run whenever you do one of these.
Check your understanding
What fraction equals 0.27?
The repeating block is 27, two digits long, so this is geometric with a=10027 and r=1001.
S=1−1/10027/100=99/10027/100=9927=113
10027 is only the first term, not the sum. 99927 uses three nines for a block that is only two digits long, and 9027 divides by 90 instead of the 99 that actually matches a two-digit block.
Common mistakes
Practice
Multiple Choice Questions (MCQ)
Progressively harder sets of questions. Each opens on its own page.
Practice problems at the level of the course, to be worked out on paper. Hints one at a
time, then the answer or the full worked solution, with your progress kept in this browser.
You can skip this and keep going. Read it if you want to know more.
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 0. Here is that step made precise.
If a=0 every term is 0, every partial sum is 0, and the formula returns 1−r0=0 as
well, so that case is settled. Take a=0 from here on.
Because ∣r∣<1 we certainly have r=1, so the partial-sum formula applies to every n, and
splitting it as above gives
Sn=1−ra−crn,where c=1−ra=0.
The first piece never changes with n. The second piece is the fixed number c times rn, and by
the Powers Fact rn closes in on 0. Multiplying by c does not spoil that. To force
∣crn∣ below any tolerance you name, force ∣rn∣ below that
tolerance divided by ∣c∣, which the Powers Fact says you can do. So the second piece closes in on 0
too, and the partial sums close in on 1−ra−0.
By the definition of an infinite sum, that settles it. The series converges, and its sum is
1−ra.
∎
How many terms are enough to land within a target distance of the sum
Because the error after n terms is exactly Srn, you can answer a question no table could: how
many terms are enough? Logarithms turn the demand into an inequality about n, and you solve it.
Worked exampleHow many terms of 5+4+3.2+⋯ land within 0.01 of the sum?
The ratio is r=54=0.8 and the first term is a=5, so the series converges and
S=1−0.85=0.25=25.
The error after n terms is Srn=25(0.8)n, and you want it under 0.01:
25(0.8)n<0.01⟺(0.8)n<0.0004.
Take logarithms. Both sides are positive, and log is increasing, so the inequality survives intact:
nlog(0.8)<log(0.0004).
Since log(0.8)≈−0.0969 is negative, dividing by it flips the inequality:
n>log(0.8)log(0.0004)≈−0.0969−3.3979≈35.06.
So the fewest that works is n=36, and every n beyond that works too. Checking the boundary is
worth the ten seconds: 25(0.8)35≈0.0101, still a hair too big, while
25(0.8)36≈0.0081, comfortably inside. Notice how slow this is compared with the cake, where
r=21 and the same tolerance needs only seven terms, since (21)7≈0.0078
while (21)6≈0.0156. The closer ∣r∣ sits to 1, 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, 21+41+81+⋯.
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+⋯ amounts to. Bracket the terms one way and the answer is 0. Bracket them the
other way and it is 1. Substitute r=−1 into the geometric formula and it is 21. 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 1 and 0 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.