4.1.32 · D1Calculus I — Limits & Derivatives

Foundations — Linear approximation and differentials

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This page assumes you have seen none of the notation in Linear approximation and differentials. We build every symbol from the ground up, in the order the topic actually needs them.


1. A function and its graph

Picture it as a curve on a grid. The horizontal axis is the input ; the vertical axis is the output . Each input marks one dot at height ; join all the dots and you get the curve.

Figure — Linear approximation and differentials

2. The base point and the value


3. Slope — how steep the curve is

Before slope of a curve, get slope of a straight line.

A slope of means "for every step right, go up." A slope of is flat; negative slope points downhill.

Figure — Linear approximation and differentials

4. The difference quotient — slope of a curve you cheat toward

A curve bends, so it has no single slope. But you can measure the slope of the straight line joining two points on it.

Figure — Linear approximation and differentials

5. The limit — sliding into

The tool exists precisely to turn a secant (two points) into a tangent (one point) by a controlled squeeze. See Derivative as a limit.


6. The derivative — a slope for every input

Figure — Linear approximation and differentials

7. Naming the output: , then two kinds of change and

Now let's line up the input-symbols so nobody gets lost. Up to now was our fixed base and a nearby input. In this section we care about the step from a starting input to a slightly moved input, so we rename things to spotlight that step:


8. The "approximately equal" symbol


9. Putting the letters together:

Now every piece of is defined:


How these foundations stack up

The figure below is a study checklist made visual: each box is one section above, and each arrow means "you need the box behind the arrow before the box in front makes sense." Trace it from top to bottom to confirm you've met every prerequisite before tackling Linear approximation and differentials — if any box feels shaky, reread that section.

Figure — Linear approximation and differentials

Equipment checklist

Each line below is a mini flashcard: the part before the ::: is the question, the part after it is the answer. Cover the right side, answer out loud, then reveal to check yourself.

What does mean in one sentence?
The output a function-machine gives when fed input ; the height of the curve above .
What is , and what is ?
is a fixed chosen input; is the curve's height above it — our exact starting point.
State "slope" without any formula, then with one.
Rise over run — up-distance divided by across-distance; .
When does slope (rise over run) fail to give a number?
At a vertical tangent — the run is , so the slope is infinite/undefined; linear approximation can't be used there.
Write the difference quotient and say what it measures.
— the slope of the secant line between and .
Why can't you just plug into the difference quotient?
It gives ; the limit is needed to slide without the two points colliding.
What must be true for a two-sided limit to exist?
The left-hand and right-hand limits must exist AND agree; must have curve on both sides.
Define (not just ).
The slope machine: a function that returns the tangent slope of at whatever input you feed it, when that slope is finite.
What does say?
is a nickname for the output height; the value on the vertical axis.
Is the same size as ?
Yes — same chosen input step; the two names only flag "tangent-line change" vs "true-curve change" in the output.
Distinguish from .
= true change of along the curve; = change of along the straight tangent; they are only approximately equal.
What does silently promise?
Approximate equality that gets truer the smaller the step becomes.
Read as three plain words.
Start + Slope × Step.

Connections

  • Derivative as a limit — §5 and §6 are its whole content; this page is the on-ramp.
  • Tangent line — the geometric object traces.
  • Linear approximation and differentials — the parent topic every symbol here feeds.