Mean value theorem
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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 evaluationf— real functionc— interior witnessa— left endpointb— 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 quadraticThe original MKO is retained. The guide has its own append-only revision and verification boundaries, not a new Lean proof.
Prerequisites
- Real derivatives at a point and finite difference quotients — Use the open-interval derivative.
- Point values and continuity of real functions — Require continuity on the closed interval.
- Average rate of change between distinct inputs — The endpoint quotient is the secant slope.
- Usual order on the real numbers — Endpoints are ordered and the witness is interior.
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