Intuition What this page is
The parent note built the five series. Here we use them across every kind of situation they can appear in — plugging positive and negative x , hitting the edge of where a series is allowed to live, substituting new expressions, multiplying/dividing series, taking limits, and a real-world word problem. Guess before you compute; that habit catches errors.
Each example below is tagged with the cell it fills. The goal: no reader ever meets a situation we skipped.
Cell
What makes it different
Example
A · positive x , fast series
plug small x > 0 into e x
Ex 1
B · negative x , sign bookkeeping
e − x , watch alternating signs
Ex 2
C · substitution
replace x by x 2 / 2 x inside a known series
Ex 3
D · trig, odd input & parity check
sin of a scaled angle
Ex 4
E · edge of convergence
ln ( 1 + x ) at x = 1 (allowed) vs x = − 1 (forbidden)
Ex 5
F · non-integer power (binomial)
( 1 + x ) 1/3 , an infinite series
Ex 6
G · limit via series (the payoff)
lim x → 0 x 2 1 − c o s x
Ex 7
H · combine two series
multiply e x sin x , collect terms
Ex 8
I · real-world word problem
pendulum small-angle approximation
Ex 9
J · exam twist / degenerate
lim x → 0 x 2 e x − 1 − x mixing cells
Ex 10
e 0.2 using terms up to x 3 .
Forecast: guess the answer will be a bit above 1.2 — write your guess down.
Steps.
Write the series: e x = 1 + x + 2 ! x 2 + 3 ! x 3 + ⋯ .
Why this step? e x has every derivative equal to 1 at 0 , so all coefficients are n ! 1 — no sign or parity worries here.
Put x = 0.2 : 1 + 0.2 + 2 0.04 + 6 0.008 .
Why this step? We just substitute; the factorials in the denominator make later terms tiny, so truncating is safe.
Add: 1 + 0.2 + 0.02 + 0.0013 3 = 1.2213 3 .
Why this step? We sum the four numbers to collapse the truncated series into a single estimate; the running total stabilises fast because each new term is roughly 10 × smaller than the last, so four terms already fix three decimals.
Verify: true e 0.2 = 1.221402 … ; our error is about 0.00007 — smaller than the first dropped term 24 0. 2 4 ≈ 0.0000 6 . ✓
Worked example Find the series for
e − x and estimate e − 0.5 to four terms.
Forecast: since e − x < 1 for x > 0 , guess the answer sits below 1 , near 0.6 .
Steps.
Replace x by − x in e x : e − x = 1 + ( − x ) + 2 ! ( − x ) 2 + 3 ! ( − x ) 3 + ⋯ .
Why this step? A substitution into a valid-for-all-x series is always legal — no convergence question for e .
Simplify the signs: ( − x ) 2 = + x 2 , ( − x ) 3 = − x 3 , giving e − x = 1 − x + 2 ! x 2 − 3 ! x 3 + ⋯ (signs alternate ).
Why this step? Odd powers of − 1 are − 1 , even powers are + 1 — this is the whole source of the alternation.
Put x = 0.5 : 1 − 0.5 + 2 0.25 − 6 0.125 = 1 − 0.5 + 0.125 − 0.0208 3 = 0.6041 6 .
Verify: true e − 0.5 = 0.606531 … ; our four-term value 0.60417 is close, and lies just below because the next term + 24 0. 5 4 ≈ + 0.0026 would push it up. ✓
Worked example Write the first three nonzero terms of
cos ( x 2 ) .
Forecast: guess the powers will be even and doubled — so 1 , x 4 , x 8 , … .
Steps.
Start from cos u = 1 − 2 ! u 2 + 4 ! u 4 − ⋯ .
Why this step? cos is even, so only even powers of its input appear.
Substitute u = x 2 : cos ( x 2 ) = 1 − 2 ! ( x 2 ) 2 + 4 ! ( x 2 ) 4 − ⋯ = 1 − 2 x 4 + 24 x 8 − ⋯ .
Why this step? ( x 2 ) 2 = x 4 and ( x 2 ) 4 = x 8 — substitution multiplies the exponents.
Verify: at x = 0.5 , x 2 = 0.25 , so cos ( 0.25 ) = 0.968912 … . Our terms: 1 − 2 0.2 5 2 + 24 0.2 5 4 = 1 − 0.03125 + 0.000163 = 0.968913 . ✓
Worked example Series for
sin ( 3 x ) to three nonzero terms; estimate sin ( 0.3 ) from it (so 3 x = 0.3 , x = 0.1 ).
Forecast: only odd powers survive (sin is odd); guess sin ( 0.3 ) ≈ 0.2955 .
Steps.
sin u = u − 3 ! u 3 + 5 ! u 5 − ⋯ .
Why this step? Derivatives of sin cycle 0 , 1 , 0 , − 1 at 0 — killing every even power.
Substitute u = 3 x : sin ( 3 x ) = 3 x − 6 ( 3 x ) 3 + 120 ( 3 x ) 5 − ⋯ = 3 x − 6 27 x 3 + 120 243 x 5 − ⋯ .
Why this step? ( 3 x ) 3 = 27 x 3 ; the scale factor gets amplified by the power — a common exam trap.
Tidy: sin ( 3 x ) = 3 x − 4.5 x 3 + 2.025 x 5 − ⋯ .
Why this step? We divide out the factorials to get clean decimal coefficients: 6 27 = 4.5 and 120 243 = 2.025 . Simplifying now makes the numeric substitution in the next step arithmetic-free of fractions.
Put x = 0.1 : 0.3 − 4.5 ( 0.001 ) + 2.025 ( 0.00001 ) = 0.3 − 0.0045 + 0.00002025 = 0.29552 .
Verify: true sin ( 0.3 ) = 0.295520 … . ✓ Parity check: only odd powers of x appear, as an odd function demands. ✓
The figure below plots the true sin ( 3 x ) (teal) against our odd-power polynomial (dashed orange): the two curves are indistinguishable near x = 0 and only peel apart out toward ∣ x ∣ ≈ 1 , which is exactly why truncating at x 5 is safe for the small input x = 0.1 (the plum dot). It also makes the parity visible — the polynomial is antisymmetric about the origin, mirroring the odd function.
ln 2 from the ln ( 1 + x ) series (set x = 1 ). Then explain why x = − 1 is forbidden.
Forecast: guess ln 2 ≈ 0.69 ; guess x = − 1 blows up.
Steps.
ln ( 1 + x ) = x − 2 x 2 + 3 x 3 − ⋯ , valid for − 1 < x ≤ 1 .
Why this step? This came from integrating the geometric series 1 + x 1 = 1 − x + x 2 − ⋯ , which only converges for ∣ x ∣ < 1 ; the right endpoint x = 1 survives (alternating series), the left one does not.
Put x = 1 : ln 2 = 1 − 2 1 + 3 1 − 4 1 + ⋯ (the alternating harmonic series ).
Why this step? x = 1 is included (x ≤ 1 ), and alternating shrinking terms converge.
Ten terms give 1 − 0.5 + 0.3 3 − 0.25 + 0.2 − 0.1 6 + 0.142857 − 0.125 + 0.1 1 − 0.1 = 0.645635 .
Why this step? This series converges slowly — expect only ~1 digit right, and error below the next term 11 1 ≈ 0.091 .
Left endpoint x = − 1 : the series becomes − 1 − 2 1 − 3 1 − ⋯ , the negative harmonic series , which diverges — matching ln ( 1 + ( − 1 )) = ln 0 = − ∞ .
Why this step? The interval of convergence mirrors the function's own domain trouble.
Verify: true ln 2 = 0.693147 … ; our 10-term partial sum 0.645635 is within one term's size of it (slow convergence, but on the right track). ✓
Worked example First three terms of
( 1 + x ) 1/3 ; estimate 3 1.03 .
Forecast: an infinite series (since 1/3 ∈ / Z ≥ 0 ); guess 3 1.03 ≈ 1.0099 .
Steps.
Use ( 1 + x ) n = 1 + n x + 2 ! n ( n − 1 ) x 2 + ⋯ with n = 3 1 .
Why this step? For non-integer n the series never terminates, but the coefficient rule is identical to the integer case.
Coefficients: n = 3 1 ; 2 n ( n − 1 ) = 2 3 1 ⋅ ( − 3 2 ) = 2 − 2/9 = − 9 1 .
Why this step? n − 1 = − 3 2 , so the product is negative — the correction term subtracts.
So ( 1 + x ) 1/3 = 1 + 3 1 x − 9 1 x 2 + ⋯ , valid ∣ x ∣ < 1 .
Put x = 0.03 : 1 + 0.01 − 9 0.0009 = 1 + 0.01 − 0.0001 = 1.0099 .
Verify: true 3 1.03 = 1.009902 … . ✓
x → 0 lim x 2 1 − cos x .
Forecast: at x = 0 this is 0 0 — indeterminate. Guess the answer is 2 1 .
Steps.
Replace cos x by its series: cos x = 1 − 2 x 2 + 24 x 4 − ⋯ .
Why this step? Series turn a mysterious 0 0 into honest algebra — this is the series route to limits .
Then 1 − cos x = 2 x 2 − 24 x 4 + ⋯ .
Why this step? The 1 's cancel; the leading surviving term is 2 x 2 , which matches the x 2 downstairs.
Divide by x 2 : x 2 1 − cos x = 2 1 − 24 x 2 + ⋯ .
Why this step? Cancelling x 2 removes the 0 0 — the whole point.
Let x → 0 : every remaining term with x dies, leaving 2 1 .
Why this step? Once the indeterminacy is gone the expression is an ordinary polynomial, so the limit is just its value at 0 — the constant term 2 1 , since − 24 x 2 → 0 .
Verify: L'Hôpital twice gives lim 2 x s i n x = lim 2 c o s x = 2 1 . ✓ Numeric: at x = 0.01 , 0.0001 1 − c o s 0.01 = 0.499996 . ✓
Worked example First three nonzero terms of
e x sin x .
Forecast: since sin x starts at x , the product starts at x ; guess it begins x + x 2 + ⋯ .
Steps.
Write both to enough terms: e x = 1 + x + 2 x 2 + 6 x 3 + ⋯ , sin x = x − 6 x 3 + ⋯ .
Why this step? To get terms up to x 3 , keep everything up to x 3 in each factor.
Multiply and collect by power:
x 1 : 1 ⋅ x = x .
x 2 : x ⋅ x = x 2 .
x 3 : 2 x 2 ⋅ x + 1 ⋅ ( − 6 x 3 ) = 2 x 3 − 6 x 3 = 3 x 3 .
Why this step? We gather every way to reach each total degree — the discrete "convolution" of coefficients.
Result: e x sin x = x + x 2 + 3 x 3 + ⋯ .
Verify: at x = 0.1 , product of series ≈ 0.1 + 0.01 + 0.000333 = 0.110333 ; direct e 0.1 sin ( 0.1 ) = 1.105171 × 0.099833 = 0.110331 . ✓
Worked example A pendulum's true period involves
sin θ ; the "small-angle" model replaces sin θ by θ . For θ = 1 0 ∘ , what is the relative error of that swap?
Forecast: 1 0 ∘ is small — guess the error is a fraction of a percent.
Steps.
Convert: 1 0 ∘ = 180 10 π = 0.174533 rad.
Why this step? Series for sin require the angle in radians — its derivative rules assume radians.
Series: sin θ = θ − 6 θ 3 + ⋯ , so the small-angle model drops 6 θ 3 .
Why this step? Replacing sin θ by θ literally throws away the − 6 θ 3 term and beyond.
Relative error ≈ sin θ θ − sin θ ≈ θ θ 3 /6 = 6 θ 2 .
Why this step? The leading error over the leading value gives a clean 6 θ 2 rule of thumb.
Plug in: 6 0.17453 3 2 = 6 0.030462 = 0.005077 , i.e. about 0.51% .
Verify: direct: sin ( 0.174533 ) = 0.173648 ; 0.173648 0.174533 − 0.173648 = 0.005097 , i.e. ≈ 0.51% . ✓ The 6 θ 2 estimate nails it — small angle, tiny error.
x → 0 lim x 2 e x − 1 − x .
Forecast: again 0 0 ; guess 2 1 (the leftover e x term after removing 1 + x ).
Steps.
Expand: e x = 1 + x + 2 x 2 + 6 x 3 + ⋯ .
Why this step? Both the "− 1 " and "− x " in the numerator are exactly the first two terms of e x — designed to cancel.
Subtract: e x − 1 − x = 2 x 2 + 6 x 3 + ⋯ .
Why this step? Removing 1 + x exposes 2 x 2 as the leading survivor, matching the x 2 below.
Divide by x 2 : x 2 x 2 /2 + x 3 /6 + ⋯ = 2 1 + 6 x + ⋯ → 2 1 .
Why this step? Cancelling x 2 kills the indeterminacy; the constant term is the limit.
Verify: L'Hôpital twice: lim 2 x e x − 1 = lim 2 e x = 2 1 . ✓ Numeric at x = 0.01 : 0.0001 e 0.01 − 1 − 0.01 = 0.501671 . ✓
Recall Which cell was which? (self-test)
Positive small-x estimate ::: Ex 1 (Cell A, e 0.2 )
Alternating signs from e − x ::: Ex 2 (Cell B)
Substituting x 2 inside cos ::: Ex 3 (Cell C)
Scaled trig angle & parity ::: Ex 4 (Cell D)
Endpoint x = 1 works, x = − 1 fails ::: Ex 5 (Cell E)
Non-integer power infinite series ::: Ex 6 (Cell F)
x 2 1 − c o s x → 2 1 ::: Ex 7 (Cell G)
Multiplying e x sin x ::: Ex 8 (Cell H)
Pendulum small-angle error ::: Ex 9 (Cell I)
x 2 e x − 1 − x → 2 1 ::: Ex 10 (Cell J)
Mnemonic The universal move
"Expand → cancel/collect → let x → 0 (or plug x )." Every example above is this one dance; only the series and the cell change.