4.2.4 · D1Calculus II — Integration

Foundations — Fundamental Theorem of Calculus — Part 1 and Part 2 — full proofs

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This page assumes nothing. Before you read the proofs in the parent topic, every squiggle, letter, and idea it leans on is built here from the ground up, in an order where each piece rests on the one before it.


1. The function and its curve

Picture it. Pick an , walk up to the curve, read the height — that height is .

Why the topic needs it. The FTC is a statement about one continuous curve : it relates the area beneath that curve to the height of that curve. Both ideas live on the same picture.

Figure — Fundamental Theorem of Calculus — Part 1 and Part 2 — full proofs
means "all numbers from to , including and " — a closed interval, the horizontal stretch we work over.

2. Area under a curve, and the symbol

How do we measure a curvy area? We approximate it with thin rectangles, then let the rectangles get infinitely thin. That summing-up process is written with a special stretched-S symbol.

Picture it. A tall column of near-zero width, area , sliding from to ; add them all up and you get the total shaded area.

Why the topic needs it. The left side of FTC Part 2 is this symbol. To prove anything about it we must know it means "limit of rectangle sums" — that is exactly what Riemann Sums and the Definite Integral builds in full.

Figure — Fundamental Theorem of Calculus — Part 1 and Part 2 — full proofs
equals because the region from to has zero width.

3. The dummy variable vs. the real variable

Picture it. is a finger sliding along the base from rightward; is where you stop the finger. Change where you stop, and you change the shaded area — so the area is a function of , which is why we name it .

Why the topic needs it. — the "area-so-far" function — is the star of Part 1. Getting the two letters straight is the difference between a valid proof and nonsense.

in words
"the area under from the fixed left edge up to the moving right edge ."

4. Continuity — the one hypothesis both proofs need

Picture it. An unbroken pen-stroke versus a curve that suddenly leaps to a new height (a jump) — only the unbroken one is continuous.

Why the topic needs it. Both proofs quietly demand it:

  • The min/max rectangles (next section) only exist because is continuous on a closed interval.
  • The squeeze at the end works because "inputs close ⇒ outputs close" is literally continuity.

Master the precise meaning in Continuity.

Figure — Fundamental Theorem of Calculus — Part 1 and Part 2 — full proofs

5. The tools that trap the sliver: EVT and Squeeze

Picture it. On any closed stretch of an unbroken curve there is a genuine peak and a genuine valley — the curve can't "run off to a value it never quite hits."

Why the topic needs it. The thin sliver of area from to is squashed between the shortest possible rectangle and the tallest . EVT guarantees those two heights exist. See Extreme Value Theorem.

Picture it. A sandwich: press the top slice and bottom slice together and whatever is between them has no choice but to meet at the same spot.

Why the topic needs it. As , both and slide toward ; the Squeeze Theorem forces the difference quotient (the thing between them) to equal — that is Part 1. Detailed in Squeeze Theorem.

Figure — Fundamental Theorem of Calculus — Part 1 and Part 2 — full proofs

6. The derivative and the difference quotient

Picture it. is the slope of the line joining two nearby points on 's graph; as that line becomes the tangent, and its slope is .

Why the topic needs it. Part 1 claims . To prove it we must start from the definition of — this limit — and nothing else. The symbol just means "the value being approached as shrinks to ."

in words
"how much the area grew, divided by how much wider the region got" — the average height of the newly added strip.

7. Antiderivatives and the constant

Why the topic needs it. Part 2 says: to get , find any antiderivative and compute . Reversing the power/rules to find is the whole content of Antiderivatives and Indefinite Integrals.


8. The Mean Value Theorem — the honest hinge

Picture it. Draw the straight chord from the start point to the end point; somewhere in between, the curve runs parallel to that chord.

Why the topic needs it. Part 2 needs "if everywhere then is constant." That is not obvious — MVT proves it: with , the formula gives for any endpoints, so never changes. Full treatment in Mean Value Theorem.


9. The Chain Rule — for moving limits

Why the topic needs it. When the upper limit is not plain but something like or , e.g. , Part 1 handles the "" piece and the Chain Rule supplies the extra factor . Miss it and you get the wrong answer.


10. (Optional) When the region is infinite


Prerequisite map

Function f and its curve

Area under a curve

Definite integral sum of slivers

Continuity no breaks

Extreme Value Theorem min and max exist

Squeeze Theorem outer bounds collapse

Area-so-far function F of x

Difference quotient limit

Derivative F prime

FTC Part 1 F prime equals f

Antiderivative G prime equals f

FTC Part 2 endpoints only

Mean Value Theorem zero slope means constant

Chain Rule for moving limits

Derivatives with variable limits


Equipment checklist

Test yourself — reveal each only after answering aloud.

I can read piece by piece
= sum of slivers, = edges, = height, = width.
I know why is used inside but outside in
is the sweeping dummy point; is the moving right edge we differentiate against.
I can state what continuity means in one sentence
no breaks/jumps/holes — draw it without lifting the pen; close inputs give close outputs.
I know why EVT needs a closed interval
a continuous function on a closed interval actually attains a max and min .
I can state the Squeeze Theorem
if the middle is trapped between two things both tending to , the middle tends to too.
I can write the difference-quotient definition of a derivative
.
I know what an antiderivative is
a function with .
I know why never affects a definite integral
it cancels in .
I know which theorem gives "zero derivative means constant"
the Mean Value Theorem.
I know when the chain rule enters FTC
whenever the integration limit is a function of (like ), giving an extra factor.
I know
, because the region has zero width.