Limits describe approach. Derivatives describe instantaneous rate. Both start from the
same idea: look at nearby values, then shrink the neighborhood.
Limits
We write
x→alimf(x)=L
when f(x) can be forced arbitrarily close to by taking close enough to
(but not necessarily equal to ). The value itself may be missing or different —
the limit only cares about the approach.
References and further study
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Before you continue
Lesson close · Basic Calculus
Consolidate Limits & Derivative Language
Use this checkpoint to recall the lesson before marking it complete. The concepts below come from this lesson's authored sections.
Key concepts covered
01Limits
02Continuity checklist
03Derivative as a limit
04Pitfalls
05Checkpoint
What you should know now
□Explain Limits & Derivative Language in your own words and state the assumptions.
□Reproduce the main argument, derivation, or implementation without copying the lesson.
□Check one example against units, boundary conditions, or edge cases.
Stuck? Send a blocker
One sentence on what stopped you (definition, derivation, lab control, time). This feeds Module-1 product metrics — not a public comment thread.
Progress
□Name one modeling or implementation limitation and when it matters.
Sequence
Continue to Chain Rule & Nested Logs, the next prerequisite step in this course.
One-sided limits matter when left and right disagree:
x→a−limf(x),x→a+limf(x).
The two-sided limit exists only when those match. Infinite limits (vertical asymptotes)
say the values grow without bound as x approaches a; that is still useful language
even though L is not a real number.
Continuity checklist
f is continuous at a when all three hold:
f(a) is defined,
limx→af(x) exists (finite),
limx→af(x)=f(a).
Break any one and you get a jump, hole, or asymptote. Quants meet the same checklist when
a payoff or payoff-like map is discontinuous at a barrier — pricing jumps with the
function, not with a hand-waved “average.”
Derivative as a limit
The derivative at a is
f′(a)=h→0limhf(a+h)−f(a),
when that limit exists. The numerator is a change in output; the denominator is a change
in input. Shrink h and you get instantaneous rate.
Worked check: f(x)=x2 at a=3.
h(3+h)2−9=h6h+h2=6+hh→06.
So f′(3)=6. Same answer from the power rule f′(x)=2x, but the limit is the definition
the rule is summarizing.
Pitfalls
Saying “the limit is f(a)” without checking continuity — that is a theorem, not a definition.
Mixing one-sided behavior into a two-sided claim.
Treating a numerical slope between two far points as the derivative (large h).
Canceling h before confirming the difference quotient is defined for h=0.
Checkpoint
Write the three continuity checks for a function at a=1.
Compute f′(2) from the limit definition for f(x)=3x.
Give an example where limx→af(x) exists but f is not continuous at a.
Interactive · difference quotient → derivative
f(x)=x² at x₀=2 · [f(x₀+h)−f(x₀)]/h = 4.5000 · true f′=4
Further development
Thompson's opening move, in Chapter I of Calculus Made Easy (1914), is not an epsilon-delta argument. He defines the two symbols that scare students: d means "a little bit of," so dx is a little bit of x, and the integral sign is a long S, "the sum of" those bits. The whole of x is the sum of its little bits.
Chapter II ranks smallness. A minute is small beside a day, and a second is small beside a minute. A product of two little bits is small beside either bit alone, so in a relative growth it is dropped. If y grows by dy when x grows by dx, the ratio dy/dx is what remains after those second-order bits are discarded. That ratio is the derivative.
His falling-body example is s=16t2 feet. A little extra time dt adds
ds=16(t+dt)2−16t2=32tdt+16(dt)2.
Drop the square of the little bit. Then ds/dt=32t feet per second. At t=2, the speed is 64 feet per second. The limit above is the same discard, stated so that "little" has a precise meaning.
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