4.1.10 · D5Calculus I — Limits & Derivatives

Question bank — Derivative from first principles — difference quotient definition

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This is the conceptual companion to the parent note. Nothing here needs heavy algebra; it is all about what the symbols mean.


True or false — justify

Every one of these is a statement you might hear in a study group. Decide, then give the reason.

The difference quotient is the slope of a tangent line.
False — it is the slope of the secant line through two distinct points; it only becomes the tangent slope after taking the limit . See Secant and Tangent lines.
Setting in the difference quotient gives the derivative.
False — it gives , an indeterminate form. You must cancel algebraically first, then let .
The limit asks what the quotient equals at .
False — a limit asks what value the quotient approaches as gets near ; the quotient is undefined at , and that is fine. See Limits — formal definition and one-sided limits.
must be a positive number for the difference quotient to make sense.
False — can be negative (the buddy point sits to the left) or positive. For the derivative to exist, the limit from both sides must agree; that is the two-sided limit condition.
If , then is just a smaller version of .
False — measures rate of change, not size. At , but ; they are different quantities with different units (output vs. output-per-input).
The average rate of change and the instantaneous rate of change are the same for a straight line.
True — for the difference quotient is for every , so the average never depends on and equals the instant. See Average vs Instantaneous Rate of Change.
A function can have a derivative at a point where it has a sharp corner.
False — at a corner the left-hand and right-hand slopes disagree, so the two-sided limit fails and does not exist there. See Continuity and Differentiability.
If is continuous at , then is differentiable at .
False — continuity is necessary but not sufficient. is continuous at yet has no derivative there (corner). See Continuity and Differentiability.
If is differentiable at , then is continuous at .
True — differentiability requires the numerator as (otherwise the quotient blows up), and that limit is the statement that is continuous.
The derivative of a constant function is .
False — it is . The numerator is , so the quotient is for all ; a flat line has zero slope.

Spot the error

Each line contains one flawed step. Name the mistake.

", so ." What went wrong?
Only the first was replaced. Every becomes the block : .
"." What went wrong?
Only one term was divided by . Divide both terms: .
" has no on top, so the limit doesn't exist." What went wrong?
The is hidden. Multiply by the conjugate to surface it: , which has a fine limit.
"For we get , and dividing by leaves still." What went wrong?
Dividing by cancels the : . The in the numerator must be crossed out.
"Since the two points merge, the run is , so we can never define a slope." What went wrong?
The points never actually merge approaches but stays nonzero, so the run stays nonzero throughout the limit. The limit captures the trend, not the forbidden endpoint.
", but only because we plugged ." What is subtly wrong with the wording?
The substitution shortcut is legal only because is now a continuous, well-defined expression (no in a denominator). It's the safe re-plug of Step 4, not the illegal Step-1 plug.

Why questions

Say why, in the sense the topic demands.

Why do we introduce a second point at instead of using calculus "at" one point directly?
Slope is defined as rise-over-run, which needs a change; one point gives no change. The buddy point manufactures a run we can later shrink. See Average vs Instantaneous Rate of Change.
Why must we factor and cancel the before taking the limit?
Before cancelling, plugging gives , which carries no information. Cancelling removes the shared zero and reveals the finite limit hiding underneath — the whole point of Indeterminate forms 0 over 0.
Why does the secant line "become" the tangent as ?
As the buddy point slides toward , the cutting line pivots about until it only touches the curve. Its slope, the difference quotient, settles on the tangent's slope — the derivative.
Why is the derivative called an instantaneous rate of change even though it uses two points?
The two points are a scaffold; the limit erases the gap between them, so the surviving number describes the rate at a single instant, not over an interval. See Average vs Instantaneous Rate of Change.
Why does the conjugate trick work only for square-root (and similar) expressions?
It exploits , which turns a stubborn difference of roots into a plain difference that contains the we need to cancel. Without roots there is nothing for the conjugate to rationalise.
Why does a straight line's first-principles slope not depend on ?
The rise of a line is exactly proportional to its run, so simplifies to the constant slope before any limit is taken — every secant is the tangent.

Edge cases

Boundary and degenerate inputs the algorithm must survive.

What happens to the difference quotient of as ?
blows up to ; the function isn't even defined at , so no derivative exists there. The formula silently excludes .
What is for , and why is it special?
as ; the tangent is vertical, so no finite slope exists at even though is defined there. See Continuity and Differentiability.
Can approach from only one side for a one-sided derivative?
Yes — at an endpoint of a domain (e.g. at ) only is available, giving a one-sided derivative via a one-sided limit.
For , what do the left and right difference quotients give at ?
The right side () gives , the left side () gives ; since they disagree, the two-sided limit fails and does not exist — a corner.
What is the derivative of exactly at the vertex ?
— the slope is zero because the bottom of the parabola is momentarily flat, matching the geometry.
If does not go to as , what does that tell you?
is discontinuous at ; then blows up and no derivative exists — a concrete illustration of "differentiable continuous." See Continuity and Differentiability.
Is the difference quotient ever exactly equal to the derivative for some nonzero ?
Yes for linear (it equals the slope for all ); for curved a specific nonzero can match by the Mean Value Theorem, but in general the quotient only approaches the derivative. See Average vs Instantaneous Rate of Change.

Connections