This page is a drill hall. The parent note the number $e$ told you what e is . Here we hit every kind of problem that definition can produce — growth, decay, the sign of the rate, the degenerate "rate zero" case, the limiting behaviour, a real-world word problem, and an exam-style trap. Nothing will surprise you after this.
Intuition One idea to carry through everything below
Every single example is secretly the same formula:
e x = lim n → ∞ ( 1 + n x ) n .
The only things that change are what x means (a total growth exponent, a rate times a time, a positive or negative number) and what we solve for . Learn to spot "x " and you have solved them all.
Before working anything, here is the full landscape. Each row is a case class — a genuinely different situation the topic can hand you. Every worked example below is tagged with the cell it fills.
Cell
Case class
What is special about it
Covered by
A
Bare limit, plug-in
Just evaluate ( 1 + 1/ n ) n for finite n
Ex 1
B
Growth, x > 0
Exponent positive → factor > 1
Ex 2
C
Decay, x < 0
Exponent negative → factor between 0 and 1
Ex 3
D
Degenerate, x = 0
Rate zero → nothing grows, answer must be 1
Ex 4
E
Limiting behaviour, x → ± ∞ (in time)
Long-run: blow-up vs. vanish
Ex 5
F
Solve for the unknown inside the exponent
Requires the inverse, ln
Ex 6
G
Real-world word problem
Extract x = r t from English
Ex 7
H
Exam-style twist (1 ∞ in disguise)
A limit that looks like it goes to 1 or ∞
Ex 8
I
Comparing discrete vs. continuous
Same money, two compounding schemes
Ex 9
We now clear the whole board.
Worked example Example 1 (Cell A) — Convergence in a table
Compute ( 1 + n 1 ) n for n = 1 , 5 , 50 , 500 and describe the trend.
Forecast: guess before reading — does the sequence rise, fall, or wobble? By how much does it change from n = 50 to n = 500 ?
n = 1 : ( 1 + 1 ) 1 = 2 .
Why this step? Start at the crudest possible compounding (one lump) — the smallest value the sequence ever takes.
n = 5 : ( 1 + 5 1 ) 5 = ( 1.2 ) 5 = 2.48832 .
Why this step? Splitting into 5 chunks already gains ~0.49 — interest is now earning interest.
n = 50 : ( 1.02 ) 50 = 2.69159 .
Why this step? Shows the sequence increasing but slowing — the gap to the next row will be tiny.
n = 500 : ( 1.002 ) 500 = 2.71557 .
Why this step? We are now 0.0027 short of e = 2.71828 ; the sequence is crawling up to its ceiling.
Verify: the values increase 2 < 2.488 < 2.692 < 2.716 and stay below e ≈ 2.71828 . A monotone-increasing sequence bounded above must converge — exactly the behaviour the definition promises. ✓
Worked example Example 2 (Cell B) — A growth factor greater than 1
Evaluate the growth factor e 0.15 and interpret it.
Forecast: since 0.15 > 0 , will the factor be above or below 1? Roughly how far above?
Recognise x = 0.15 in e x = lim n → ∞ ( 1 + x / n ) n .
Why this step? The sign of x decides everything: x > 0 means every chunk multiplies by something > 1 , so the product climbs above 1.
Use the series to get intuition: e 0.15 = 1 + 0.15 + 2 0.1 5 2 + ⋯ = 1 + 0.15 + 0.01125 + ⋯ .
Why this step? The first two terms already say "a bit more than 1.15 " — a fast mental sanity guess.
Summing more terms: e 0.15 ≈ 1.16183 .
Why this step? Later terms (0.1 5 3 /6 ≈ 0.00056 ) are tiny, so three terms nail it.
Verify: ln ( 1.16183 ) ≈ 0.15 , and since $\ln$ is the inverse of e x , this confirms the exponent. The factor 1.16 > 1 ✓ — positive rate really does grow the quantity.
Worked example Example 3 (Cell C) — When the rate is negative
A radioactive sample decays continuously at rate r = − 0.1 per year, starting at 200 g. Mass after 5 years?
Forecast: rate is negative . Will e r t be above or below 1? Should the mass end up more or less than 200 g?
Total exponent x = r t = ( − 0.1 ) ( 5 ) = − 0.5 .
Why this step? Same recipe as growth — we still form x = r t — but now x < 0 .
Factor e − 0.5 = e 0.5 1 = 1.64872 1 = 0.60653 .
Why this step? A negative exponent is a reciprocal : e − x = 1/ e x , which is always between 0 and 1 , i.e. shrinkage.
Mass = 200 × 0.60653 = 121.31 g.
Why this step? Multiply the start by the shrink-factor.
Verify: 121.31 < 200 ✓ (decay lost mass, as a negative rate must). Units: g × ( dimensionless factor ) = g ✓. This is d t d N = k N with k = − 0.1 — see Differential equations dy/dx = ky .
Worked example Example 4 (Cell D) — Rate of zero
A savings account pays 0% continuously. £1000 after 3 years?
Forecast: no growth at all — what must the answer be, without any calculation?
Exponent x = r t = 0 × 3 = 0 .
Why this step? A zero rate kills the exponent regardless of the time — this is the degenerate corner of the matrix.
Factor e 0 = lim n → ∞ ( 1 + 0/ n ) n = lim n → ∞ 1 n = 1 .
Why this step? With x = 0 the inside is exactly 1 for every n , so there is no indeterminacy here — it is a genuine 1 , not the tricky 1 ∞ .
Amount = 1000 × 1 = £1000 .
Verify: money unchanged ✓. Note the contrast with the 1 ∞ trap: there the base only tends to 1 while the exponent explodes; here the base is 1, so no fight, no drama. See Limits and indeterminate forms .
e 0 vs. ( 1 + 1/ n ) n
Do not confuse e 0 = 1 (a solid, non-indeterminate value) with the definition limit, where the base 1 + n 1 never actually equals 1. Zero exponent = no growth. Small-but-nonzero base-excess with huge exponent = the number e .
Worked example Example 5 (Cell E) — Long-run futures
For continuous change A ( t ) = A 0 e r t , describe A ( t ) as t → + ∞ for (a) r > 0 and (b) r < 0 .
Forecast: one of these runs to infinity, one to zero. Which is which?
(a) r > 0 : exponent r t → + ∞ , so e r t → ∞ , hence A ( t ) → ∞ .
Why this step? Positive rate compounds forever — unbounded growth is the limiting truth.
(b) r < 0 : exponent r t → − ∞ , so e r t = 1/ e ∣ r ∣ t → 0 , hence A ( t ) → 0 .
Why this step? Negative rate is repeated shrinking; the reciprocal of a blowing-up denominator vanishes.
Boundary r = 0 : A ( t ) = A 0 forever (from Cell D) — the knife-edge between the two behaviours.
Verify (numeric probe): take A 0 = 1 , r = 1 : e 10 ≈ 22026 (rising fast) and with r = − 1 : e − 10 ≈ 0.0000454 (vanishing). Both match the claimed limits ✓.
Worked example Example 6 (Cell F) — Doubling time
Money grows continuously at r = 0.08 /yr. How long to double ?
Forecast: roughly, is it nearer 5, 9, or 15 years? (Try the "72 rule" in your head first.)
Doubling means A / P = 2 , so e 0.08 t = 2 .
Why this step? We are no longer evaluating e x — the unknown t is trapped inside the exponent, so plain arithmetic can't reach it.
Apply ln to both sides: 0.08 t = ln 2 .
Why this step? ln is the inverse of e x (see Exponential function e^x and its derivative ); it is the only tool that "pulls the exponent down". Nothing else undoes an exponential.
t = 0.08 ln 2 = 0.08 0.69315 = 8.6643 years.
Verify: put it back — e 0.08 × 8.6643 = e 0.69315 = 2.0000 ✓. And the rule-of-72 estimate 72/8 = 9 yr is close, confirming the ballpark ✓.
Worked example Example 7 (Cell G) — Reading
x = r t out of English
"A bacterial culture grows continuously, tripling every 6 hours. It starts at 400 cells. How many after 15 hours?"
Forecast: 15 hours is 2.5 tripling-periods. Between 3 2 = 9 and 3 3 = 27 times the start — guess a number now.
Find the rate r from "triples every 6 h": e 6 r = 3 ⇒ r = 6 ln 3 = 6 1.09861 = 0.18310 /h.
Why this step? The English gives a ratio over a time , not a rate directly — we must invert with ln (Cell F skill) to extract r .
Total exponent over 15 h: x = r t = 0.18310 × 15 = 2.74653 .
Why this step? Now assemble the standard exponent x = r t for the actual question window.
Population N = 400 e 2.74653 = 400 × 15.5885 = 6235.4 , i.e. about 6235 cells .
Verify: cross-check via ratios only — 15 h = 2.5 periods, so factor = 3 2.5 = 15.588 , giving 400 × 15.588 = 6235 ✓. Matches to the cell. Also 9 < 15.6 < 27 as forecast ✓.
Worked example Example 8 (Cell H) — A limit disguised as "obviously 1 or ∞"
Evaluate L = n → ∞ lim ( 1 + n 3 ) 2 n .
Forecast: the inside → 1 , the power → ∞ . The trap says "answer is 1" or "answer is ∞". It is neither — guess the finite value.
Spot the form: base → 1 , exponent → ∞ — a genuine 1 ∞ indeterminate form , so we may not evaluate the two parts separately.
Why this step? Recognising the indeterminacy is what stops you writing the wrong "1". See Limits and indeterminate forms .
Rewrite to match the template e x = lim ( 1 + x / n ) n . First ( 1 + n 3 ) 2 n = [ ( 1 + n 3 ) n ] 2 .
Why this step? Splitting the exponent isolates the exact block ( 1 + 3/ n ) n we know converges — to e 3 .
Take limits: ( 1 + n 3 ) n → e 3 , so L = ( e 3 ) 2 = e 6 .
Why this step? Powers pass through the limit for a convergent bracket. Numerically e 6 = 403.43 .
Verify: test n = 10000 : ( 1 + 0.0003 ) 20000 = e 20000 l n ( 1.0003 ) = e 20000 × 0.00029996 = e 5.9991 ≈ 403.2 , hugging e 6 = 403.43 ✓ — decisively not 1 and not infinite.
1 ∞ shortcut
If you meet ( 1 + n a ) bn → ?, the answer is e ab . (Here a = 3 , b = 2 ⇒ e 6 .) Base-excess times exponent-multiplier, exponentiate.
Worked example Example 9 (Cell I) — Does "continuous" really beat "monthly"?
£1000 at 12% for 1 year, compared: (a) compounded monthly , (b) compounded continuously .
Forecast: how many pence apart will they be — 0p, a few pounds, or tens of pounds?
Monthly: A = 1000 ( 1 + 12 0.12 ) 12 = 1000 ( 1.01 ) 12 .
Why this step? Discrete compounding uses a finite n = 12 in ( 1 + x / n ) n — no limit taken.
Compute: ( 1.01 ) 12 = 1.126825 , so A = £1126.83 .
Continuous: A = 1000 e 0.12 = 1000 × 1.127497 = £1127.50 .
Why this step? Continuous is the n → ∞ limit — the ceiling of the same process, so it must be slightly larger .
Verify: 1127.50 > 1126.83 ✓ (continuous is the limit, hence the maximum). The gap is only £0.67 — confirming the parent note's point that ever-finer compounding adds ever-smaller amounts. See Compound interest .
Recall Which cell is which? (open after attempting)
What is the only tool that "solves for a trapped exponent"? → ln , the inverse of e x .
What is ( 1 + n a ) bn in the limit? → e ab .
Why is e 0 = 1 not an indeterminate form? → The base is exactly 1 for all n ; nothing fights.
r < 0 : does e r t sit above or below 1? → Below 1 (a reciprocal), so decay.
As t → ∞ , A 0 e r t tends to? → ∞ if r > 0 , 0 if r < 0 , constant if r = 0 .
Term to reveal:
Growth factor for total exponent x e x , which is > 1 for x > 0 , between 0 and 1 for x < 0 , and exactly 1 for x = 0 .
Natural logarithm ln x — the inverse used in Cells F and G to free the exponent
Exponential function e^x and its derivative — why e r t solves growth exactly
Compound interest — the discrete-vs-continuous contrast of Cell I
Differential equations dy/dx = ky — the source of A 0 e r t (growth and decay)
Binomial theorem — the series intuition used in Cell B
Limits and indeterminate forms — the 1 ∞ machinery behind Cells A, D, H
Cell F solve for exponent
Cell H one to the infinity twist
Cell I discrete vs continuous