4.1.19 · D5Calculus I — Limits & Derivatives

Question bank — Derivatives of eˣ and aˣ — proofs

1,714 words8 min readBack to topic

Before you start, three tools are assumed. If any feels shaky, revisit them:


The one picture behind every trap

Almost every trap on this page turns on one number. Let me build it here so you never have to leave the page.

Here is why that one number controls the whole derivative. Using the exponent law ,

The slides out because it has no in it. So the derivative of is just scaled by its slope-at-zero. And that scaling number turns out to be exactly the natural log:

because writing gives , whose derivative (chain rule) is .

The figure below shows what means geometrically: the tangent line drawn at tilts up more for bigger bases.

Figure — Derivatives of eˣ and aˣ — proofs

The second figure shows curvature — why decay curves () still bend upward.

Figure — Derivatives of eˣ and aˣ — proofs

True or false — justify

Each line: decide true or false, then give the reason. Bare "true/false" earns nothing.

is the only function equal to its own derivative.
False. Any constant multiple also satisfies ; the family (including ) is the full set, but is not alone.
If , then a bigger base always gives a steeper curve everywhere.
True. grows with and always, so a larger base makes the slope factor larger at every — the whole curve is steeper.
For the function is increasing.
False. Then , so everywhere (since ): the curve falls — this is decay.
The slope of at equals its height there.
False in general. Height at is , but slope is (the slope constant built above); they are equal only when , i.e. .
has derivative .
True. is a flat horizontal line, and , so its slope is everywhere — perfectly consistent.
The constant depends on both and .
False. The variable never enters this limit; is a pure number fixed by the base alone (it turns out to be ).
.
False. Inner function is with derivative , so by the chain rule — a decreasing curve.
can be negative for large negative .
False. for every real ; as it approaches from above but never touches or crosses it.

Spot the error

Each line states a "proof" or claim with a hidden flaw. Name the flaw in one sentence.

", by the power rule."
The power rule needs a fixed exponent and varying base; here the base is fixed and the exponent varies, the opposite situation, so it does not apply — the answer is .
" because is its own derivative."
The self-derivative rule holds only when the exponent is exactly ; here the inner function is , so the chain rule adds a factor , giving .
"Since , we get ."
The rewrite uses the natural log ( is only true with ), so the constant must be , not .
", just applying ."
The exponent here is , not , so this is not the plain rule; converting to and using the chain rule gives an extra inner derivative , so the answer is .
" is its own derivative, so its second derivative must be something new."
Differentiating again just returns ; every derivative of is , so nothing new ever appears.
" is because the numerator ."
The denominator too, so this is a indeterminate form; the ratio settles to , not — you cannot read it off from the numerator alone.
"Because , differentiating twice gives again."
Each differentiation multiplies by another factor , so the second derivative is , not .
"Rewriting ."
Powers do not turn into products; by multiplying exponents, not .

Why questions

Answer each in one or two sentences of genuine reasoning.

Why does slide out of the difference-quotient limit while stays inside?
Because , and carries no — it is constant as — so it factors out, leaving only the -dependent piece inside the limit.
Why is called the natural base rather than, say, ?
Because is the unique base whose slope-at-height-1 constant equals exactly , making its own derivative with no extra factor — the cleanest possible growth law.
Why must we convert to base before differentiating?
The chain rule only gives us clean derivatives through the known rule ; writing puts the expression in that form so the derivative machinery applies.
Why does a base slightly larger than give a slope constant slightly larger than ?
Because and is increasing with ; a base just above has just above , so the curve is a touch steeper at .
Why can't the power rule and the exponential rule ever agree for ?
The power rule would give , which grows without bound relative to , whereas the true derivative stays a fixed multiple of the function — they describe fundamentally different behaviours.
Why does the limit definition of () match the compound-interest definition ?
means for small , so ; setting and letting recovers exactly the compound-interest limit. See The number e — definitions.
Why is the constant the same as "the slope of at "?
Plugging into the general derivative gives , so literally is the slope at the origin point .

Edge cases

The degenerate and boundary scenarios the rules must survive.

What is when ?
is constant, and , so the derivative is — matching the flat line, no contradiction.
Is valid for ?
No; is not a well-defined positive exponential (undefined at and diverges to ), so the rule requires .
What happens to as from either side?
The slope factor continuously, so the derivative smoothly approaches sits as the single balance point where .
For between and , is the second derivative of positive or negative?
Positive: , and squaring makes it positive even though , so decay curves are convex (they flatten out, curving upward).
At , which is steeper, or ?
has slope ; has slope . So falls faster ( is more negative than ), i.e. it is steeper downward at the origin.
As , what is the slope of and does the curve ever flatten completely?
The slope equals the height , which ; the curve flattens toward horizontal but never reaches zero slope at any finite .
Does ever give a slope of exactly at a point other than through ?
Yes; for any base , set and solve — some satisfies it, since ranges over all positive values, but only makes it happen at .

Connections

  • Derivatives of eˣ and aˣ — proofs — the parent proof these traps stress-test.
  • Chain Rule — the tool behind every "forgot the inner derivative" trap.
  • Natural Logarithm ln x — why must be , not .
  • The number e — definitions — the two definitions cross-checked in the "why" section.
  • Exponential Growth and Decay — the sign-of- edge cases in context.
  • Power Rule — the rule these traps repeatedly warn not to misapply.