Intuition The one core idea
Right next to a point, a smooth curve and its straight tangent line are almost the same thing — so you can trade hard curve-math for easy line-math for a short distance. Everything on this page is just the vocabulary (points, slopes, changes, limits) you need before that sentence makes sense.
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.
f ( x )
A function is a machine: you feed it a number x , it returns exactly one number, written f ( x ) . The letter f is the machine's name; x is the number you put in.
Picture it as a curve on a grid. The horizontal axis is the input x ; the vertical axis is the output f ( x ) . Each input x marks one dot at height f ( x ) ; join all the dots and you get the curve.
Worked example What figure 1 shows
The cyan curve is f ( x ) = x . The amber dashed lines pick out one input on the horizontal axis and trace it up to the curve, then across to the vertical axis — that height is the output f ( x ) . Read it as "input across, output up."
Intuition Why the topic needs this
Linear approximation is entirely about one curve near one input . If you can't picture "curve = all the output-heights above the inputs," none of the later symbols land.
a
a is just a chosen fixed input — one particular spot on the horizontal axis where we plant our feet. It is a number, not a variable; we pick it and keep it fixed.
f ( a )
Feed the machine that fixed input a : the output f ( a ) is the height of the curve exactly above a . The dot ( a , f ( a )) sits on the curve.
Intuition Why a fixed base point?
The whole trick is "start from a place I already know exactly." a is that place. Good choices are inputs where f ( a ) comes out clean — like 4 = 2 — so we never do hard arithmetic at the start.
Before slope of a curve , get slope of a straight line .
Definition Slope of a line
Slope = rise over run . Pick two points on the line. Run is how far you move sideways (change in x ). Rise is how far you move up (change in output). Slope = run rise : the up-per-across number.
A slope of 2 means "for every 1 step right, go 2 up." A slope of 0 is flat; negative slope points downhill.
Worked example What figure 2 shows
The amber horizontal bar is the run (how far you move across); the white vertical bar is the rise (how far you move up over that run). The line's slope is the white bar divided by the amber bar — here 1.8 ÷ 3 = 0.6 . Steeper line ⇒ taller rise for the same run.
Common mistake Not every tangent has a finite slope
Rise-over-run assumes the line isn't perfectly vertical. Some curves have a vertical tangent at a point — the tangent points straight up, so the "run" is 0 and rise-over-run blows up (0 rise is undefined). Example: f ( x ) = 3 x at x = 0 has an infinitely steep tangent. Linear approximation needs a finite slope, so watch for these spots — they are the one place the whole method breaks down.
Intuition Why we need slope
The tangent line is defined by where it starts and which way it points . "Which way it points" is exactly its slope. Without slope there is no direction to walk.
A curve bends, so it has no single slope. But you can measure the slope of the straight line joining two points on it.
Definition Difference quotient
Take our base input a and a nearby input x . The straight line through ( a , f ( a )) and ( x , f ( x )) (a secant line ) has slope
x − a f ( x ) − f ( a ) .
Top = rise (difference of outputs); bottom = run (difference of inputs). This is just "rise over run" for those two curve-points.
Worked example What figure 3 shows
Two amber dots sit on the curve: the fixed base a on the left, a nearby input x on the right. The amber dashed line through them is the secant . The white bars are its run (x − a ) and rise (f ( x ) − f ( a ) ); their ratio is the difference quotient. Slide the right dot toward a and this secant will tip toward the tangent — that motion is the whole point of the next section.
Intuition Why this shape of fraction?
It is the only honest way to say "average steepness of the curve between a and x ." We use this tool because slope means rise-over-run, and these are the two heights and two positions we actually have.
lim x → a ( something with x )
reads: "the value that something gets closer and closer to as x slides toward a — without ever needing x to equal a ." The arrow x → a means "x creeps up to a ."
Definition One-sided limits and where they must exist
x can creep toward a from two directions : from the right (inputs bigger than a , written x → a + ) and from the left (inputs smaller than a , written x → a − ). The plain two-sided limit lim x → a only exists when both sides agree on the same value. If the function isn't even defined on one side — for example x has no inputs below 0 , so lim x → 0 x can only be a right-hand limit — then you can talk about the one-sided limit only. Never assume a two-sided limit exists just because you wrote one down; check that a has curve on both sides first.
Intuition Why a limit and not just "plug in
x = a "?
In the difference quotient, plugging x = a gives 0 0 — nonsense. The limit dodges that: it asks what the fraction approaches as the secant's two points slide together, without ever colliding. That approached number is the slope of the curve itself.
The tool exists precisely to turn a secant (two points) into a tangent (one point) by a controlled squeeze. See Derivative as a limit .
Definition Derivative at a point
f ′ ( a ) = lim x → a x − a f ( x ) − f ( a ) .
Read the tick mark ′ as "prime." f ′ ( a ) is the slope of the curve exactly at a — the slope of the tangent line that just kisses the curve there (provided that limit exists and is finite; recall §3's vertical-tangent warning).
Worked example What figure 4 shows
The two faint white lines are secants for inputs x still some distance from a . As x slides toward a (follow the arrow), those secants pivot and settle onto the single amber tangent line — whose slope is exactly f ′ ( a ) . The picture is the limit of §5 happening.
f ′ is itself a function
Nothing about that limit forced us to use the special base a . Pick any input where the tangent slope exists and you get a slope there too. So f ′ is a machine in its own right : feed it an input, it returns the slope of f at that input. That is why we may write f ′ ( a ) (slope at the base point) or f ′ ( x ) (slope at a general input) — all the same machine, different inputs.
Intuition Why the topic lives or dies on this
Linear approximation is "start at f ( a ) , point along the tangent." f ′ ( a ) is that pointing direction. This is the single most important symbol on the page.
Definition The output name
y
So far the output has been written f ( x ) . It is handy to give that output its own short name: we write y = f ( x ) . Read it as "y is the height of the curve above x ." y and f ( x ) mean the exact same number — y is just a nickname for "the output." Picture y as the value on the vertical axis .
Now let's line up the input-symbols so nobody gets lost. Up to now a was our fixed base and x 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:
a , x , Δ x and d x
Start at some input (call it x — it plays the same role a did: the place you already know).
Move it by a small amount. That move is the step .
Δ x = the step measured as a true, actual change: Δ x = ( new input ) − ( old input ) . It matches the run ( x − a ) from earlier sections, just written as a single symbol.
d x = the exact same step , but the name we use when we're going to ride the tangent line with it. In this whole topic d x and Δ x are the same chosen number ; we only keep two names to flag "true-curve change" vs "tangent-line change." So d x = Δ x .
Definition The change symbol
Δ
Δ (Greek capital "delta") means actual change in . So Δ x is how much the input actually moved, and — using our nickname y = f ( x ) — Δ y = f ( x + Δ x ) − f ( x ) is how much the true output height y actually moved as a result, measured along the curve .
Definition The differentials
d x and d y
d x is that same chosen small step in the input (equal to Δ x ). Then d y is the rise in y you'd get if you stayed on the straight tangent line for that step:
d y = f ′ ( x ) d x = ( slope at x ) × ( step ) .
Here f ′ ( x ) is the slope machine from §6 evaluated at the starting input x .
Δ y and d y are NOT the same
Both mean "change in the output y ," which is why they blur together. But Δ y follows the curve (bends away); d y follows the straight tangent (goes straight). Even though d x = Δ x (same input step), the outputs differ: they agree only for tiny steps — the gap between them is the approximation error. Never write Δ y = d y ; write Δ y ≈ d y .
Intuition Why we need both
Δ y is the truth (hard to compute). d y is the cheap stand-in (one multiply). The entire topic is the claim Δ y ≈ d y for small steps.
≈
Read "a ≈ b " as "a is approximately equal to b " — close but not promised exact. In this topic it always carries a hidden fine print: "...and the smaller the step, the truer this gets."
Now every piece of L ( x ) = f ( a ) + f ′ ( a ) ( x − a ) is defined:
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.
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 f ( x ) mean in one sentence? The output a function-machine gives when fed input x ; the height of the curve above x .
What is a , and what is f ( a ) ? a is a fixed chosen input; f ( a ) 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; slope = run rise .
When does slope (rise over run) fail to give a number? At a vertical tangent — the run is 0 , so the slope is infinite/undefined; linear approximation can't be used there.
Write the difference quotient and say what it measures. x − a f ( x ) − f ( a ) — the slope of the secant line between ( a , f ( a )) and ( x , f ( x )) .
Why can't you just plug x = a into the difference quotient? It gives 0 0 ; the limit is needed to slide x → a without the two points colliding.
What must be true for a two-sided limit lim x → a to exist? The left-hand and right-hand limits must exist AND agree; a must have curve on both sides.
Define f ′ (not just f ′ ( a ) ). The slope machine: a function that returns the tangent slope of f at whatever input you feed it, when that slope is finite.
What does y = f ( x ) say? y is a nickname for the output height; the value on the vertical axis.
Is d x the same size as Δ x ? Yes — same chosen input step; the two names only flag "tangent-line change" vs "true-curve change" in the output.
Distinguish Δ y from d y . Δ y = true change of y along the curve; d y = f ′ ( x ) d x = change of y along the straight tangent; they are only approximately equal.
What does ≈ silently promise? Approximate equality that gets truer the smaller the step becomes.
Read L ( x ) = f ( a ) + f ′ ( a ) ( x − a ) as three plain words. Start + Slope × Step.
Derivative as a limit — §5 and §6 are its whole content; this page is the on-ramp.
Tangent line — the geometric object L ( x ) traces.
Linear approximation and differentials — the parent topic every symbol here feeds.