4.1.27 · D4Calculus I — Limits & Derivatives

Exercises — Mean Value Theorem — proof, Rolle's theorem

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Before we start, a reminder of the two engines, in plain words:


Level 1 — Recognition

Exercise 1.1

For on , check whether all three Rolle hypotheses hold. Do not find yet — just verify (or reject) each condition.

Recall Solution

What "check the hypotheses" means: go down the list of three requirements and tick each. Why bother before solving? Rolle only promises a flat tangent when all three hold; skip the check and any you compute could be a fluke of the algebra, not a guarantee of the theorem.

  1. Continuous on ? is a polynomial. Polynomials are continuous everywhere, so yes. ✔ (See Continuity.)
  2. Differentiable on ? Polynomials are differentiable everywhere, so yes. ✔ (See Differentiability.)
  3. Equal endpoints, ? Both equal , so . ✔ All three hold — Rolle guarantees a flat tangent inside , even though we haven't located it.

Exercise 1.2

For on , identify the secant slope that MVT's must match. (Just compute the number the theorem promises the derivative will equal.)

Recall Solution

The MVT's target number is the secant slope — total rise over total run. Why this number? MVT says the derivative equals the average rate of change somewhere; that average rate is exactly this secant slope, so computing it tells us in advance what value is promised to hit. So MVT promises some with . (Note is continuous on and differentiable on the open interval — the derivative blows up at , but is an endpoint, not required to be differentiable.)


Level 2 — Application

Exercise 2.1

on . Find every guaranteed by MVT.

Recall Solution

Step 1 — target (secant slope). Why: MVT says equals the average rate of change over , so we first compute that average — it is the number the derivative must hit. Step 2 — set derivative equal. Why set secant slope? Because that equation is literally the MVT conclusion; solving it locates the promised point. , so solve : Step 3 — check it's inside. Why: MVT only guarantees in the open interval, so a valid answer must satisfy . Is ? Yes. ✔ Exactly one here.

Exercise 2.2

on . Rolle applies (check quickly). Find all points with .

Recall Solution

Hypotheses: polynomial ⇒ continuous and differentiable; , , so . ✔ Rolle applies. Find : Why set here (not a secant slope)? Rolle is the special case of MVT with equal endpoints, so the secant slope is ; the promised point is where the tangent is flat, i.e. . , so Both and lie in . This is a live example of the "at least one, maybe more" rule — here there are two flat tangents: the cubic dips to a valley near and rises to a hump near , and at each turning point the tangent is horizontal, matching the slope- secant that joins the equal-height endpoints.

Exercise 2.3

on . Find from the MVT.

Recall Solution

Step 1 — secant slope. Why the natural log's endpoints: , , and this average rate is the value MVT forces to equal. Step 2 — derivative. Why set equal to that? Solving secant slope is the MVT conclusion applied to . , so gives Step 3 — inside? Why: only an interior counts. since and . ✔


Level 3 — Analysis

Exercise 3.1

Does Rolle's theorem apply to on ? If a with exists, find it; if not, say precisely which hypothesis fails and why.

Recall Solution

Endpoints: , . Equal. ✔ Continuity: absolute value is continuous everywhere. ✔ Differentiability on ? Why this is the decisive check: Rolle's guarantee is voided the instant even one hypothesis breaks, so we hunt for a break. The graph is a "V" with its corner at . At a corner the left slope is and the right slope is — they disagree, so does not exist. Hypothesis 2 fails. Conclusion: Rolle does not apply, and indeed never equals . No such exists. Moral: all other boxes ticked is not enough — one broken hypothesis voids the guarantee.

Exercise 3.2

on . Someone writes ", and , so gives : no real ! MVT is broken." Explain what actually went wrong.

Recall Solution

The flaw is not in MVT — it's that MVT was never allowed to run. Why the check matters: MVT's conclusion is only promised when its hypotheses hold, so before trusting any equation we must verify them. MVT demands be continuous on the whole closed interval . But has a vertical asymptote at , which lies inside : the function isn't even defined there, let alone continuous. So hypothesis 1 fails and the theorem makes no promise. The "contradiction" is exactly what you'd expect when you apply a theorem outside its domain — the algebra correctly reports that no interior tangent has slope , because the graph jumps from to across the gap. Fix: first scan for any point where is undefined or discontinuous. If one exists, stop — MVT is inapplicable.

Exercise 3.3

Suppose is differentiable on and for every . Use the MVT to prove is constant.

Recall Solution

Goal: show for any two inputs , which is exactly what "constant" means. Apply MVT on (continuous + differentiable everywhere, so hypotheses hold). Why MVT here? It is the one tool that converts the difference into a single derivative value we already control. There is a with But by assumption. Why this finishes it: the left side is forced to , so the right side (the average change) is , meaning no net change between any two points. So Since were arbitrary, takes the same value everywhere — it's constant. This is the backbone of "zero derivative ⇒ flat function," the tool behind Increasing and Decreasing Functions.


Level 4 — Synthesis

Exercise 4.1

Show that the equation has exactly one real root. (Hint: existence from continuity, uniqueness from Rolle.)

Recall Solution

Let . Existence (at least one root) — Intermediate Value Theorem. The Intermediate Value Theorem (IVT) says: if is continuous on and takes values of opposite sign at the endpoints, then hits every value in between — in particular it must equal somewhere in . Why we need it: it manufactures a root out of a sign change. Check its hypotheses: is a polynomial, so continuous on ✔, and opposite signs ✔. Therefore IVT gives at least one root in . Uniqueness (no second root) — by contradiction using Rolle. Why Rolle: two roots would be two equal-height points ( at both), exactly Rolle's setup, forcing a flat tangent we can then rule out. Suppose there were two roots , so . Then is continuous on , differentiable on , and has equal endpoint values — Rolle applies, giving some with . But The derivative is never zero, contradicting . So two roots is impossible. Conclusion: exactly one real root.

Exercise 4.2

Prove that for all real , . (This shows is Lipschitz with constant .)

Recall Solution

Idea: MVT turns a difference of function values into a single derivative value we can bound. Why that helps: a difference like is hard to estimate directly, but one derivative value is easy to bound. Let , continuous and differentiable on all of . Case : apply MVT on the interval with endpoints . There is a between them with Take absolute values: Why the bound now drops out: , so , hence . Therefore Case : both sides are , so the inequality holds trivially.

Exercise 4.3

Let be differentiable on with and for all . What is the largest possible value of ? Justify with MVT.

Recall Solution

Apply MVT on : Why MVT: it links the unknown endpoint value to a derivative value we have a ceiling on. Some has Use the bound. Why this pins down the maximum: since every derivative value is , in particular , which caps the average change and hence : Largest possible value: , achieved by the straight line (which has , hitting the bound everywhere).


Level 5 — Mastery

Exercise 5.1 (Cauchy's MVT)

Cauchy's Mean Value Theorem states: if and are continuous on , differentiable on , and for all , then there exists with (The condition on also guarantees , so the right side is well-defined.) Take , on and find .

Recall Solution

Step 0 — check the hypotheses, especially on . Why: Cauchy's MVT requires throughout the open interval, otherwise the ratio could be undefined and could be . Both are polynomials, so continuous on and differentiable on ✔. And , so for we have : never vanishes. ✔ (Consistently, .) Cauchy's MVT is now licensed. Step 1 — right-hand side (the ratio of total changes). Why: this is the target value the derivative-ratio must equal. Step 2 — left-hand side (ratio of derivatives). Why differentiate first: the left side of Cauchy's conclusion is , a ratio of derivatives, not of original values. , , so Step 3 — set equal and solve. Why: equating the two sides is the Cauchy conclusion; solving it locates . Inside? . ✔ (Ordinary MVT is the special case , where and the ratio becomes the plain secant slope.)

Exercise 5.2 (A sharper bound via a second-order idea)

Let be twice differentiable with , , and for all . Show . (Hint: apply MVT to , then relate back to — this is the seed of Taylor's Theorem.)

Recall Solution

Step 1 — control the slope using the bound on . Why apply MVT to : we know a ceiling on (the derivative of ), and MVT is exactly the bridge from a derivative bound to the function itself — here the "function" is . For any , apply MVT to on : some has Rearranged, , so Why this is progress: we started knowing only and now have a bound on at every point of . Step 2 — accumulate that slope bound over to bound . Why integrate rather than use one more MVT: a single MVT would only give for one point , which is too weak. Integrating captures that starts at and grows gradually, halving the estimate. Since , so taking absolute values and using , Conclusion: . Why the extra care matters: this "bound the derivative, then accumulate it over the interval" move is precisely the logic of the Taylor remainder — the closer you look at how the derivative grows, the sharper the bound on the function.


Recall One-line summary of the whole ladder

Recognition (read the hypotheses) ::: check continuity, differentiability, and — for Rolle — equal endpoints. Application (find ) ::: set equal to the secant slope, solve, confirm . Analysis (why it fails) ::: locate the broken hypothesis — a corner, an asymptote, a jump. Synthesis (prove things) ::: MVT converts differences into single derivative values you can bound. Mastery (generalise) ::: Cauchy's MVT ratios two functions (needs ); accumulating a derivative bound over the interval seeds Taylor's theorem.