This page is a drill through every kind of problem the rational-index binomial theorem can throw at you. We do not introduce new theory — see the parent note for the derivation. Here we make sure that no matter what the exam hands you , you have already seen its twin.
Before we compute, one reminder in plain words:
Definition The tool, in one breath
To estimate ( 1 + x ) n for a fraction or negative power n , when the small number x obeys the convergence condition ∣ x ∣ < 1 , we use
( 1 + x ) n ≈ 1 + n x + 2 n ( n − 1 ) x 2 + ⋯
Here x = "how far the base is from 1 ", and n = "the power". Every problem below is really the same problem in disguise: force the thing into the shape ( 1 ± small ) n , read off x and n , then add a few terms.
Every problem this topic can throw lives in exactly one row of this table. The last column tells you which worked example nails it.
Cell
What makes it different
The hidden danger
Example
A. Root, x > 0
base slightly above 1, fractional n
none — easiest case
Ex 1
B. Reciprocal, x > 0
negative n , base above 1
signs alternate
Ex 2
C. Base slightly below 1 (x < 0 )
must set x negative
forgetting the minus sign propagates
Ex 3
D. Base far from 1
naive x would be > 1
series diverges unless you factor first
Ex 4
E. Two-term product / correction
keep x 2 term for accuracy
dropping it too early
Ex 5
F. Large integer-ish power, tiny x
first-order only is enough
over-computing
Ex 6
G. Word problem (physics/percentage)
you must build x and n
wrong small quantity
Ex 7
H. Exam twist — solve for unknown
approximation used backwards
direction of inequality
Ex 8
I. Degenerate / limiting
x = 0 , or x → 1 −
knowing when it breaks
Ex 9
How to read the figure below. It is a number line of the base value 1 + x . The amber dashed line at 1 is the anchor (x = 0 , where the approximation is exact). The shaded cyan band from 0 to 2 is the region where ∣ x ∣ < 1 and the series is allowed to converge; the amber bands outside it are where the series diverges and you must factor first (Cell D). The four white dots are the actual bases from Examples 1, 2, 3 and 5 — notice they all huddle close to the anchor, which is why keeping two or three terms suffices for them, while Cell D's base (1004 ) sits far off the right of this window and needs the factoring trick.
1.06 to 4 decimal places.
Forecast: 1.06 should be a bit above 1 — half of 0.06 is 0.03 , so guess ≈ 1.03 and expect a tiny downward correction.
Step 1. Write it in shape: 1.06 = ( 1 + 0.06 ) 1/2 , so x = 0.06 , n = 2 1 .
Why this step? The series only exists in the ( 1 + x ) n form; here ∣ x ∣ = 0.06 < 1 so we may expand.
Step 2. Apply ( 1 + x ) 1/2 ≈ 1 + 2 1 x − 8 1 x 2 :
1 + 2 1 ( 0.06 ) − 8 1 ( 0.06 ) 2 = 1 + 0.03 − 0.00045 = 1.02955.
Why this step? Two correction terms give ~4 correct decimals when x ≈ 0.06 .
Verify: true 1.06 = 1.029563 … — our 1.02955 matches to 4 dp. The forecast "just above 1.03 "? Actually just below 1.03 , because the − 8 1 x 2 term pulled it down. ✓
1.04 1 to 4 decimal places.
Forecast: dividing by something slightly bigger than 1 gives slightly less than 1 — guess ≈ 0.96 .
Step 1. 1.04 1 = ( 1 + 0.04 ) − 1 , so x = 0.04 , n = − 1 .
Why this step? A reciprocal is just the power − 1 . Recognising this converts division into addition.
Step 2. Use ( 1 + x ) − 1 = 1 − x + x 2 − x 3 + ⋯ :
1 − 0.04 + 0.0016 − 0.000064 = 0.961536.
Why this step? Here n = − 1 makes the signs alternate ; that is the tell-tale of a reciprocal.
Verify: true 1/1.04 = 0.9615384 … — matches to 5 dp. ✓
0.98 to 4 decimal places.
Forecast: 0.98 is below 1, so its root is below 1 too — subtract half of 0.02 ⇒ ≈ 0.99 .
Step 1. 0.98 = ( 1 − 0.02 ) 1/2 = ( 1 + x ) 1/2 with x = − 0.02 .
Why this step? We must set x = − 0.02 , not + 0.02 . The base is 1 minus something.
Step 2. Substitute into 1 + 2 1 x − 8 1 x 2 :
1 + 2 1 ( − 0.02 ) − 8 1 ( − 0.02 ) 2 = 1 − 0.01 − 0.00005 = 0.98995.
Why this step? The linear term flips sign (good), but the x 2 term stays negative because ( − 0.02 ) 2 = + 0.0004 multiplied by − 8 1 . This is the exact trap in the parent's "sign errors" mistake.
Verify: true 0.98 = 0.9899495 … — matches to 5 dp. Below 0.99 as forecast. ✓
( 1004 ) 1/2 , i.e. 1004 .
Forecast: 1004 is just above 1000 ≈ 31.6 ... but cleaner: 1024 = 32 , so guess a touch below 32 , near 31.7 .
Step 1. Never write ( 1 + 1004 ) 1/2 — here x = 1003 , and ∣ x ∣ < 1 fails, so the series diverges . Instead factor out the nearest easy square. 1004 = 1024 ( 1 − 1024 20 ) = 1024 ( 1 − 0.01953 ) .
Why this step? 1024 = 3 2 2 is a perfect square right next door, so factoring it out leaves a base inside ( 1 ± small ) .
Step 2. 1004 = 32 ( 1 − 0.01953 ) 1/2 with x = − 0.01953 :
32 [ 1 + 2 1 ( − 0.01953 ) − 8 1 ( − 0.01953 ) 2 ] = 32 ( 1 − 0.009766 − 0.0000477 ) .
= 32 ( 0.990186 ) = 31.6860.
Why this step? Now ∣ x ∣ = 0.0195 < 1 , so expansion is legal and fast.
Verify: true 1004 = 31.68596 … — matches to 4 dp, and lands just below 32 as forecast. ✓
( 1.1 ) 1/3 . Compare keeping 2 terms vs 3 terms.
Forecast: cube root of 1.1 — a third of 0.1 is ≈ 0.033 , so guess ≈ 1.033 .
Step 1. ( 1.1 ) 1/3 = ( 1 + 0.1 ) 1/3 , x = 0.1 , n = 3 1 . Note ∣ x ∣ = 0.1 is not tiny , so the x 2 term matters.
Why this step? Bigger x ⇒ slower shrinking ⇒ we cannot drop x 2 .
Step 2. Two terms: 1 + 3 1 ( 0.1 ) = 1.03333 .
Three terms: add 2 3 1 ( 3 1 − 1 ) x 2 = 2 3 1 ⋅ ( − 3 2 ) ( 0.01 ) = − 9 1 ( 0.01 ) = − 0.001111 .
So 1.03333 − 0.001111 = 1.032222 .
Why this step? The x 2 term is ≈ 0.0011 — big enough to change the 3rd decimal, showing why "2 terms" is not always safe.
Verify: true ( 1.1 ) 1/3 = 1.032280 … — the 3-term answer 1.03222 is right to 4 dp; the 2-term 1.03333 is off in the 3rd decimal. ✓
( 1.002 ) 40 using one correction term.
Forecast: 40 × 0.002 = 0.08 , so guess ≈ 1.08 .
Step 1. x = 0.002 , n = 40 . First order: ≈ 1 + n x = 1 + 40 ( 0.002 ) = 1.08 .
Why this step? n x = 0.08 dominates; the next term is 2 40 ⋅ 39 ( 0.002 ) 2 = 780 × 0.000004 = 0.00312 , small but not negligible for 3 dp.
Step 2. Add it for safety: 1.08 + 0.00312 = 1.08312 .
Why this step? When n is large, 2 n ( n − 1 ) can partly offset the tiny x 2 ; check before dropping.
Verify: true ( 1.002 ) 40 = 1.083137 … — first order 1.08 good to 2 dp; two-term 1.08312 good to 4 dp. ✓
Worked example A spherical balloon's radius grows by
2% . By roughly what percent does its volume grow? (V = 3 4 π r 3 .)
Forecast: volume goes like r 3 , and 3 × 2% = 6% — guess ≈ 6% .
Step 1. New radius = r ( 1 + 0.02 ) , so new volume = 3 4 π r 3 ( 1 + 0.02 ) 3 . The ratio is ( 1 + 0.02 ) 3 with x = 0.02 , n = 3 .
Why this step? The constant 3 4 π r 3 cancels; only the growth factor matters, and it is exactly a binomial with a nice x .
Step 2. ( 1 + 0.02 ) 3 ≈ 1 + 3 ( 0.02 ) + 2 3 ⋅ 2 ( 0.02 ) 2 = 1 + 0.06 + 0.0012 = 1.0612 .
Why this step? Keeping x 2 captures the small extra beyond the naive 6% .
Step 3. Growth = 1.0612 − 1 = 0.0612 = 6.12% .
Why this step? Subtract the "1 " (original volume) to read off fractional increase.
Verify: exact ( 1.02 ) 3 = 1.061208 , i.e. 6.1208% . The linear estimate 6% is the textbook "for small changes, percent in volume ≈ 3 × percent in radius". ✓
x , ( 1 + x ) 1/2 ≈ 1 + 2 1 x − 8 1 x 2 . Given ( 1 + x ) 1/2 = 1.01 , use the series itself to solve for x (to 3 dp).
Forecast: if 1 + x = 1.01 then x should be a little above 2 × 0.01 = 0.02 .
Step 1. Set the approximation equal to the target: 1 + 2 1 x − 8 1 x 2 = 1.01 , i.e. 2 1 x − 8 1 x 2 = 0.01 .
Why this step? The task is to invert the series , not undo the square root — so we work with the truncated polynomial the theorem gives us.
Step 2 (first pass). Drop the tiny x 2 term: 2 1 x ≈ 0.01 ⇒ x 0 ≈ 0.02 .
Why this step? For small x the linear term dominates, giving a starting estimate to refine.
Step 3 (refine). Put x 0 = 0.02 back into the x 2 term: 2 1 x − 8 1 ( 0.02 ) 2 = 0.01 , so 2 1 x = 0.01 + 0.00005 = 0.01005 , giving x = 0.0201 .
Why this step? One iteration accounts for the correction we dropped; this is exactly how "solve the series backwards" works in an exam.
Step 4 (round). The question asks for 3 dp, so x = 0.0201 rounds to x = 0.020 .
Why this step? Always finish by matching the requested precision — the raw 0.0201 becomes 0.020 to 3 dp.
Verify: feed x = 0.0201 into the exact function: ( 1 + 0.0201 ) 1/2 = 1.010000 … ✓ — the series-inversion answer is correct.
Worked example (a) What is
( 1 + 0 ) n ? (b) What happens to ( 1 − x ) − 1 = 1 + x + x 2 + ⋯ as x → 1 − ?
Forecast: (a) obviously 1 . (b) the geometric sum 1 − x 1 blows up as x → 1 .
Step 1 (a). Set x = 0 : every term with x vanishes, leaving 1 + 0 + 0 + ⋯ = 1 . And directly ( 1 + 0 ) n = 1 n = 1 . The series is exact (all corrections zero).
Why this step? x = 0 is the only input where the approximation has zero error — it's the anchor point the whole Maclaurin build sits on. See Maclaurin & Taylor Series .
Step 2 (b). ( 1 − x ) − 1 = 1 + x + x 2 + ⋯ is a geometric series with ratio x . Its sum is 1 − x 1 only while ∣ x ∣ < 1 . As x → 1 − , the sum → 1 − 1 1 = + ∞ : the series diverges. Numerically at x = 0.9 , partial sums crawl toward 0.1 1 = 10 ; at x = 0.99 toward 100 .
Why this step? This is the boundary the parent's ∣ x ∣ < 1 condition guards — cross it and no finite number of terms helps. See Convergence of Series .
Verify: 1 − 0.9 1 = 10 and 1 − 0.99 1 = 100 confirm the blow-up; ( 1 + 0 ) n = 1 for any n . ✓
Recall One-line strategy per cell
Each line below is written as situation ::: what to do — read the left of the triple-colon as the prompt and the right as the answer.
Above 1, root ::: set x > 0 , small, expand directly.
Above 1, reciprocal ::: n = − 1 , signs alternate.
Below 1 ::: set x < 0 ; watch the x 2 term keeps its sign.
Far from 1 ::: factor out nearest perfect power first.
Need accuracy ::: keep the 2 n ( n − 1 ) x 2 term.
Word / percent ::: cancel constants, expand the growth factor, subtract 1.
Mnemonic The universal first move
"Bend it to ( 1 ± small ) n , then read x and n ." Every one of the nine cells starts here.