Mean value theorem

On this page
  1. Mathematical statement
  2. Representative formula (exact TeX)
  3. Assumptions
  4. Symbol scope
  5. Intuition, definition, and misconceptions
  6. Adopted derivation guide
  7. Prerequisites
  8. Verification boundary
  9. Next obligation
  10. Same-source structured data

This English edition is an AI candidate and does not yet have an OCME Atlas (GPT-6) Twin closure receipt.

If a<b, f is continuous on [a,b] and differentiable on (a,b), some interior c has derivative equal to the endpoint secant slope.

mko-mean-value-theorem · theorem · v0.10.0

Mathematical statement

Question parameters A/B/C explicitly encode f(t)=A*t^2+B*t+C. Require a<b, continuity on the closed interval and differentiability on the open interval. The witness satisfies a<c<b and f'(c)=(f(b)−f(a))/(b−a). It need not be unique: affine and constant cases can have many witnesses. Finite samples, a=b, a jump or an interior cusp do not supply the required theorem hypotheses.

Representative formula (exact TeX)

D(f,c)=\frac{f(b)-f(a)}{b-a}

Assumptions

  • Positive families declare the integer-coefficient polynomial f(t)=A*t^2+B*t+C, so global continuity and differentiability hold.
  • Endpoints and witnesses are checked with exact integer/rational arithmetic.

Symbol scope

  • D — derivative evaluation
  • f — real function
  • c — interior witness
  • a — left endpoint
  • b — right endpoint

Intuition, definition, and misconceptions

A/B/C are the quadratic, linear and constant coefficients in order.

Continuity and differentiability concern different parts of the interval.

a<b makes the secant denominator nonzero; witness existence does not imply uniqueness.

Finite samples that look smooth do not establish differentiability; c may not be an endpoint.

Adopted derivation guide

The mean-value point of a quadratic

The original MKO is retained. The guide has its own append-only revision and verification boundaries, not a new Lean proof.

Prerequisites

Verification boundary

Exact families cover declared polynomials and named boundary cases, not a sampling proof of general differentiability.

not_formalized

This does not mean the content is false; it means no replayable computational or formal evidence is registered yet.

Next obligation

Add Taylor polynomials and remainders.

Same-source structured data

This page and the interactive view use the same object and existing language edition; this adds no proof or human review.

Canonical MKO JSON · Plain Markdown