← Unit 5

The Existence Theorems

5.1 · 5.2  —  the Mean Value Theorem and the Extreme Value Theorem. Two quiet guarantees that the things you’re about to hunt for — a max, a min, a tangent with a given slope — are actually there to be found.
Most of Unit 5 is a hunt: for peaks, for valleys, for the best possible answer. Before the hunt, two theorems promise the quarry exists. The Extreme Value Theorem says a continuous function on a closed interval always reaches a highest and a lowest point. The Mean Value Theorem says that somewhere your instantaneous rate must equal your average rate — a tangent line running parallel to the secant. Nail these and the rest of the unit is just carrying it out.

Fill it yourself: the level catches the average

Water trickles in at a perfectly steady pour — but the vase is narrow here and wide there, so the level races up through the narrows and crawls through the belly. Over the whole fill there’s one average rise-rate, and MVT swears the level hit exactly that rate at some instant. Pour it, and watch the needle land on the line.

average rise rate
rising right now
rate = average at height

Why there’s always a parallel tangent

It feels like it could fail — surely you could dodge that exact average? You can’t, and the reason is beautifully simple. It’s Rolle’s Theorem wearing a tilt.

The Mean Value Theorem, precisely

Two hypotheses, one guarantee. Both hypotheses matter — drop either and the promise can break.

The hypotheses the price of admission

Continuous on the closed interval [a, b] — no breaks, jumps, or holes.

Differentiable on the open interval (a, b) — a smooth tangent at every interior point (no corners or cusps).

The conclusion the guarantee

There is at least one point c in (a, b) where the instantaneous rate equals the average rate:

It promises such a c exists — not where, and not how many. There can be several.

The Extreme Value Theorem

The other guarantee. It’s the reason “find the absolute maximum” is even a fair question — something has to be the biggest.

If f is continuous on a closed interval [a, b], then f attains an absolute maximum and an absolute minimum somewhere on [a, b]. Each of them lands either at a critical point (where ) or at an endpoint — which is exactly the short list you’ll test to find them.

Both words in “continuous on a closed interval” are load-bearing. Remove either and the max can slip through your fingers:

Drop “closed”

On the open interval (0, 1), f(x) = x gets closer and closer to 1 but never arrives. There is no single highest value — the max escaped through the open end.

Drop “continuous”

Punch a jump into the graph and the peak can vanish into the gap — the function approaches a value it never actually takes. No continuity, no guarantee.

Four cards to keep

Rolle’s Theorem MVT, level

The special case where the endpoints sit at the same height. If f is continuous on [a,b], differentiable on (a,b), and f(a) = f(b), then somewhere the tangent is flat:

Critical points candidates

Interior points where f′(x) = 0 or f′(x) does not exist. Every local extremum hides at one — but not every critical point is an extremum.

Local vs. absolute don’t confuse

A local (relative) extremum is the biggest/smallest nearby. An absolute (global) extremum is the biggest/smallest on the whole interval. EVT is about the absolute ones.

The candidates test how to actually find them

EVT guarantees the absolute max/min exist. To locate them: list every critical point and both endpoints, evaluate f at each, and pick the largest and smallest values.

Practice

Quick check

Where it goes wrong

Skipping the hypotheses

MVT and Rolle need continuity on [a,b] and differentiability on (a,b). On \(|x|\) over \([-1,1]\) the corner at 0 kills differentiability — no guaranteed c.

Looking for c at the endpoints

The guaranteed point c lives in the open interval \((a,b)\) — strictly between the ends, never at a or b.

Forgetting the endpoints for absolute extrema

The candidates test checks critical points and both endpoints. An absolute max often sits at an endpoint, where \(f'\ne 0\).

“f′ = 0” only

A critical point is where \(f'=0\) or \(f'\) is undefined. Cusps and corners are critical points too — don’t miss them.

Carry these into the unit