4.3.16 · D2Calculus III — Sequences & Series

Visual walkthrough — Taylor series — derivation from power series

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Step 1 — What a polynomial even is, as a picture

Before we touch anything infinite, let us agree what the pieces are.

WHAT. A polynomial is a sum of power terms. A power term is a coefficient (a fixed number) multiplied by a power of a variable:

  • is the input we slide around.
  • is a fixed point we call the centre — the place we build our approximation around.
  • is the displacement: how far has moved from the centre. It is exactly when .
  • is the coefficient — a dial we are allowed to turn to shape the curve.

WHY start here. The entire derivation is about finding the right value for each dial . So we must first see what each dial physically controls.

PICTURE. Below, the same centre is fixed. Each term is drawn on its own: a flat line (), a straight ramp (), a parabola (), a cubic (). Notice they all pass through zero-height at except the flat one. That single fact is the seed of the whole proof.

Figure — Taylor series — derivation from power series

Step 2 — The one move that makes displacement vanish: set

WHAT. Substitute the centre itself, , into the series.

WHY this move and not another? Look at any term with : it contains the factor . At that factor is , and times anything is . So substituting is a term-killer: it deletes every term except the flat one, . We are choosing the one input value that silences everybody but a single survivor.

PICTURE. Watch the vertical line slice through the stacked terms. Every curved/ramped term is caught exactly at its zero-height crossing; only the flat line has any height left. That height is .

Figure — Taylor series — derivation from power series

Step 3 — Why we need a NEW tool: the derivative

We have . But setting again would just give once more — we learn nothing new. We are stuck.

WHAT. We introduce the derivative : the slope (steepness) of the curve at each point.

WHY the derivative specifically? We need a machine that (a) deletes the constant so it stops blocking our view, and (b) drags the next dial down into the "flat" slot so that setting can catch it. Differentiation does exactly both:

  • the derivative of a constant is (deletes ),
  • the derivative of is (turns the ramp into a new flat line).

This is the only elementary tool that lowers every power by one — see Linear approximation & differentials for the picture in isolation.

PICTURE. The top panel shows the ramp tilting upward; the bottom panel shows its derivative — a flat line at height . The derivative "reads off the steepness" and reports it as a constant.

Figure — Taylor series — derivation from power series

Step 4 — Fire the term-killer again: set in

WHAT. Now substitute into .

WHY. Same logic as Step 2, one level up. Every term in that still carries dies; only the freshly-flattened survives.

PICTURE. The vertical line slices the derivative graph. All the curved leftovers are caught at zero-height; only the flat line has height. That height is , the slope of at the centre.

Figure — Taylor series — derivation from power series

We now see the rhythm: differentiate to flatten the next term, then set to catch it. Repeat.


Step 5 — Differentiate twice: where the factorial is born

WHAT. Differentiate again to reach . Watch the number that falls out of the quadratic term.

WHY watch the number? This is the crux of the whole page. The term does not flatten in one step — it needs two. And each step multiplies by the current exponent:

  • The first derivative peels off the exponent .
  • The second derivative peels off the new exponent .
  • Their product rides in front of .

So after two derivatives:

PICTURE. A "peeling staircase": the parabola at the top, its first derivative in the middle (the "" now visible as a slope), its second derivative at the bottom (a flat line at height ). The falling exponents then are labelled in red as they drop.

Figure — Taylor series — derivation from power series

Step 6 — The general term: differentiate times, catch

WHAT. Do the peeling for a general term .

WHY. We want a single formula covering every dial at once, so we track all the peeled exponents.

Each differentiation lowers the exponent by one and multiplies by the old exponent:

  • After exactly derivatives, all exponents have been peeled and multiplied together.
  • Their product is the factorial .
  • Lower terms (powers ) have differentiated down to and vanished; higher terms still carry and will be killed by .

Set to catch the lone survivor:

Here means " differentiated times."

PICTURE. A ladder of exponents falling: , each rung labelled with the factor it contributes, and the running product accumulating on the right. The division bar at the bottom shows the factorial getting cancelled out of the dial.

Figure — Taylor series — derivation from power series

Step 7 — Edge case: what if ?

WHAT. Suppose some derivative is zero at the centre, e.g. for at the odd derivatives all give .

WHY cover this. A dial being zero is not an error — it means that term is simply absent, and the curve has no ramp/kink of that order at the centre. The formula handles it automatically: .

PICTURE. near is perfectly flat-topped and symmetric — no left/right tilt — so no odd (asymmetric) term is allowed. The even terms build the symmetric dome; the odd dials are switched off.

Figure — Taylor series — derivation from power series

Step 8 — Edge case: centre not at zero ()

WHAT. Redo the peeling when the centre is, say, for .

WHY. The killer move needs the factor to vanish at the centre. If we lazily wrote powers of instead of , plugging would not zero them, and the whole term-killing machine breaks. The basis must be .

PICTURE. The approximating polynomial hugs tightly near and drifts away far from it — the accuracy is anchored at the centre, exactly where is tiny.

Figure — Taylor series — derivation from power series

The one-picture summary

Everything above compresses into a single loop, repeated for :

Figure — Taylor series — derivation from power series
Recall Feynman: retell the whole walkthrough in plain words

We guessed our curvy function is secretly a giant polynomial with a row of adjustable dials. To find the first dial, we plugged in the centre point — this is like reading the height of the slide right where you're standing; every wobbly part is momentarily flat there, so only the base height shows. To find the next dial we measured the slope (the derivative), which erases the base height and turns the ramp into a new readable height — then plugged in the centre again. To reach dial number three we measured how the slope changes (differentiate twice), and so on. Each time we differentiate, the powers "peel off" as multiplying numbers that pile up into ; so we divide by to keep the dials honest. If a dial comes out zero, that shape simply isn't part of the curve. And we always measure powers of "distance from the centre," , so that plugging in the centre truly silences everyone but the one dial we're after.


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