Average rate of change between distinct inputs
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This English edition is an AI candidate and does not yet have an OCME Atlas (GPT-6) Twin closure receipt.
Average rate of change is an endpoint difference quotient with a nonzero input difference, not an instantaneous derivative.
mko-rate-of-change · definition · v0.10.0
Mathematical statement
For two permitted inputs x0≠x1 of the same specified function f, with f(x0)=y0 and f(x1)=y1, the average rate of change is (y1−y0)/(x1−x0). Equal inputs fail this entry's eligibility condition; do not replace their quotient with zero or 0/0. For f(x)=mx+b on R it equals m. For q(x)=a(x−h)²+k with a≠0 it equals a(x0+x1−2h). This finite endpoint quotient is not a derivative.
Representative formula (exact TeX)
\frac{b-a}{d-c}Assumptions
- Both endpoints must be permitted inputs of the same specified function. Direct two-point exercises use only the explicitly provided output values.
- Except in denominator-eligibility questions, the input difference must be nonzero. Integer endpoints and coefficients yield reduced fractions with positive denominators.
- The quadratic slice requires a≠0. In the representative fraction, a,b are outputs y0,y1 and c,d are corresponding inputs x0,x1, not vertex-form coefficients.
Symbol scope
a— first output y0b— second output y1c— first input x0d— second input x1
Intuition, definition, and misconceptions
Subtract outputs and inputs in matching endpoint order. Reversing both differences leaves the quotient unchanged; reversing only one changes its sign.
This quotient describes a change across two distinct inputs, not a limiting process or an instantaneous derivative. Equal inputs fail the nonzero-denominator teaching condition.
A constant affine function has zero average rate. For a quadratic, the constant k cancels and the result is a(x0+x1−2h). Distinct inputs symmetric about h give zero average rate without making the quadratic function constant.
Common errors include reversing only one difference, dividing by a zero input difference, or treating an endpoint average as a derivative.
Adopted derivation guide
Average rate of change between distinct inputs: eligibility, swapping endpoints, the affine and quadratic formulasThe original MKO is retained. The guide has its own append-only revision and verification boundaries, not a new Lean proof.
Prerequisites
- Ratio and proportion — Fix the meaning of a quotient with a nonzero denominator.
- Graphs of real-valued functions — The endpoints belong to the same specified function.
- Affine functions and degree-one functions — Use the average-rate slice for an affine expression.
- Quadratic functions in vertex form — First fix the vertex form for the quadratic slice.
Verification boundary
Finite endpoint quotients can be checked exactly; no derivative or limit proof is claimed.
not_formalized
This does not mean the content is false; it means no replayable computational or formal evidence is registered yet.
Next obligation
Bind the pinned slope API with an explicit nonzero input difference; Mathlib total division at zero does not discharge this teaching condition.
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