ProofComplete

Complete Proof: Mean Value Theorem

This detailed proof of the MVT shows the chain of reasoning from compactness to the Extreme Value Theorem to Rolle's Theorem to the full Mean Value Theorem. Each step builds on fundamental properties of R\mathbb{R}.


Statement

Theorem5.1Mean Value Theorem

If f:[a,b]β†’Rf : [a, b] \to \mathbb{R} is continuous on [a,b][a, b] and differentiable on (a,b)(a, b), then there exists c∈(a,b)c \in (a, b) such that

fβ€²(c)=f(b)βˆ’f(a)bβˆ’a.f'(c) = \frac{f(b) - f(a)}{b - a}.


Complete Proof

ProofStep 1: Prove Rolle's Theorem

First, we prove Rolle's Theorem: if f:[a,b]β†’Rf : [a, b] \to \mathbb{R} is continuous on [a,b][a, b], differentiable on (a,b)(a, b), and f(a)=f(b)f(a) = f(b), then there exists c∈(a,b)c \in (a, b) with fβ€²(c)=0f'(c) = 0.

By the Extreme Value Theorem (which follows from Heine-Borel compactness of [a,b][a, b]), ff attains its maximum MM and minimum mm on [a,b][a, b].

Case 1: If M=mM = m, then ff is constant, so fβ€²(x)=0f'(x) = 0 everywhere. Any c∈(a,b)c \in (a, b) works.

Case 2: If M>mM > m, then at least one of MM or mm differs from f(a)=f(b)f(a) = f(b). Suppose M>f(a)M > f(a). Then MM is attained at some c∈(a,b)c \in (a, b) (not at the endpoints, since f(a)=f(b)<Mf(a) = f(b) < M).

At this interior maximum cc, for small h>0h > 0:

f(c+h)βˆ’f(c)h≀0(sinceΒ f(c+h)≀f(c)).\frac{f(c+h) - f(c)}{h} \leq 0 \quad \text{(since } f(c+h) \leq f(c)\text{)}.

Taking hβ†’0+h \to 0^+, fβ€²(c)≀0f'(c) \leq 0. Similarly, for h<0h < 0 small,

f(c+h)βˆ’f(c)hβ‰₯0(sinceΒ f(c+h)≀f(c)Β andΒ h<0).\frac{f(c+h) - f(c)}{h} \geq 0 \quad \text{(since } f(c+h) \leq f(c) \text{ and } h < 0\text{)}.

Taking hβ†’0βˆ’h \to 0^-, fβ€²(c)β‰₯0f'(c) \geq 0. Thus fβ€²(c)=0f'(c) = 0.

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ProofStep 2: MVT from Rolle

Now prove the MVT. Define

g(x)=f(x)βˆ’f(a)βˆ’f(b)βˆ’f(a)bβˆ’a(xβˆ’a).g(x) = f(x) - f(a) - \frac{f(b) - f(a)}{b - a}(x - a).

Then gg is continuous on [a,b][a, b], differentiable on (a,b)(a, b), and g(a)=g(b)=0g(a) = g(b) = 0. By Rolle's Theorem, there exists c∈(a,b)c \in (a, b) with gβ€²(c)=0g'(c) = 0.

Computing gβ€²(x)=fβ€²(x)βˆ’f(b)βˆ’f(a)bβˆ’ag'(x) = f'(x) - \frac{f(b) - f(a)}{b - a}, we get

gβ€²(c)=0β€…β€ŠβŸΉβ€…β€Šfβ€²(c)=f(b)βˆ’f(a)bβˆ’a.g'(c) = 0 \implies f'(c) = \frac{f(b) - f(a)}{b - a}.

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Summary

The MVT is proved using:

  1. Heine-Borel (compactness of [a,b][a, b]).
  2. Extreme Value Theorem (continuous functions on compact sets attain extrema).
  3. Rolle's Theorem (extrema in the interior have zero derivative).
  4. Auxiliary function technique (reduce MVT to Rolle).

See Mean Value Theorem for applications.