4.3.15 · D1Calculus III — Sequences & Series

Foundations — Term-by-term differentiation and integration of power series

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This page assumes nothing. Every letter, symbol and picture the parent note parent topic leans on is built here from the ground up, in an order where each block rests on the one before it.


0. The alphabet we are about to use

Before any formula, here is the plain-words meaning of each symbol. We earn each one properly in its own section below.

Symbol Plain words Section
"add up a whole list" §1
a counter: §1
a generic term — the -th item on the list §1
"keeps going forever" — the list never stops §1
the number weight on the -th piece §2
the input we plug in §2
, a machine turning input into an output number §2
the -th building block, centred at §3
the centre point of the series §3
absolute value: size of a number, sign dropped §4
radius: half-width of the safe zone §4
"the biggest value a wobbly list keeps returning to" §5
slope machine (derivative) §6
area machine (integral) §7
unknown constant of integration §7

1. , the counter , and — "add up a list"

Read it out loud as: "for from to , add up each ." Each is one term — one item on the shopping list.

Look at Figure s01. The cyan dots are the running total after terms of . The white arrows show each dot creeping toward the amber dashed line at height — a picture of "homing in" (convergence).

Figure — Term-by-term differentiation and integration of power series

2. The weights , the input , and the function

Now we make each term depend on a number we get to choose.

A simple example: if every , the terms are and This is the Geometric series — the friendliest power series there is, and the parent note builds everything from it.


3. The building block and the centre

So the general power series in the parent note is

where (from §2) is the number the whole sum lands on when you feed in .

Look at Figure s02. The amber curve is the true total ; the cyan/white curves are what you get by stopping after a few terms of . Each extra term hugs the amber curve over a wider stretch — an infinite polynomial is the smooth function, in the limit.

Figure — Term-by-term differentiation and integration of power series

4. Absolute value and the radius

Plug in a big and the powers explode; the running totals run off to infinity (diverge). Plug in a small and the terms shrink; the running totals settle (converge). There is a cutoff distance — and distance ignores direction, which is what absolute value is for.

Figure — Term-by-term differentiation and integration of power series

Look at Figure s03. The cyan band is the safe zone of half-width around the amber centre dot ; the white squares mark the two edges , flagged "test by hand."


5. — reading the radius off the coefficients

How do we find ? The Cauchy–Hadamard theorem does it from the weights alone:

Two new pieces here.

Look at Figure s04. The cyan dots are a wobbly list of values; the amber dashed line is the — the ceiling the peaks keep returning to even though individual dots dip below it.

Figure — Term-by-term differentiation and integration of power series

The parent's whole radius proof rests on one fact: multiplying weights by the counter barely nudges this -th-root scale, because . We can sanity-check that number: even at , — already almost .


6. and — the slope machine

Look at what that rule does to a term: it multiplies the weight by and knocks the power down by one. That is precisely why the parent's differentiated series reads — every term got hit by the same rule. The term (a constant) has slope zero and vanishes, which is why the sum restarts at .


7. — the area machine

The (the constant of integration) is an unknown constant: many functions share the same slope-pattern, differing only by a fixed vertical shift, so integration leaves that shift undetermined until you pin it with one known value (like ). This is exactly why the parent fixes using and .

Applied to every term, this gives the parent's integrated series : each weight divided by , each power bumped up one.


Prerequisite map

Sigma sum, counter n, infinity

Convergence and divergence of running totals

Weights an times powers of x

Building block x minus c to the n

Power series f of x

Absolute value distance and radius R

nth root of size of an

limsup persistent ceiling

Cauchy Hadamard finds R

Derivative the slope machine

Term by term theorem

Integral the area machine

Uniform convergence and Weierstrass M test

Derive arctan and ln series, solve ODEs


Equipment checklist

Test yourself — say the answer before revealing.

What does mean in plain words?
Add up the never-ending list ; it may still land on a finite number if terms shrink fast enough.
What precisely does it mean for a series to converge?
Its running totals get and stay arbitrarily close to one fixed number as grows; if they never settle on a single number, it diverges.
What is a polynomial, and how does a power series differ?
A polynomial is a finite sum of whole-number powers of with fixed weights (e.g. ); a power series is the same idea with no last term.
In , which part is fixed in advance and which do you choose?
(the weight) and (the centre) are fixed; is the input you plug in.
What does measure, and why absolute value?
The distance from to ; absolute value strips the sign so only size (distance), not direction, matters.
What is the radius of convergence geometrically, and what happens at ?
The half-width of the safe interval ; the series always converges at the centre (it equals there), even if .
Why use rather than a plain limit?
Because may wobble forever and a plain limit need not exist; the ceiling always exists and pins down where the series first breaks.
State the one-block rules for and .
(power down, times ); (power up, divide by ).
Why does the constant appear after integrating?
Many functions share the same slope-pattern, differing by a vertical shift; stays unknown until fixed by a known value like .
What single limit makes both radius proofs work?
(and likewise ), so multiplying/dividing weights by leaves the -th-root scale unchanged.