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Partial derivative

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.

A partial derivative fixes every other coordinate and takes the one-variable derivative along one coordinate slice as h tends to zero.

mko-partial-derivative · definition · v0.10.0

Mathematical statement

The x-partial derivative of a bivariate function f at (x,y) fixes y and is defined by the difference-quotient limit as nonzero h tends to 0; the y-partial is analogous. This slice differentiates quadratic polynomials symbolically and exactly, rather than replacing the limit with a single finite difference.

Representative formula (exact TeX)

D_i(f)

Assumptions

  • Coefficients have fixed order [1,x,y,x²,x*y,y²]; exercises use integer coefficients and integer points.
  • Polynomial slices are globally defined, but the existence of partials is not used to infer continuity or total differentiability of general functions.

Symbol scope

  • D_i — coordinate partial derivative
  • f — bivariate real-valued function

Intuition, definition, and misconceptions

The x-partial fixes y; the y-partial fixes x.

The coordinate gradient here is the ordered collection of coordinate partials.

A finite difference is an approximation or a sampled quotient, not automatically the partial derivative.

Do not vary both coordinates at once or use one nonzero-h quotient to claim the existence of a partial derivative.

Adopted derivation guide

Partial derivative: deriving the partial-derivative formulas of a quadratic from the difference-quotient limit, and computing a gradient

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

Prerequisites

Verification boundary

Existence of partials does not imply general continuity, total differentiability or interchangeability of mixed partials.

not_formalized

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

Next obligation

Add gradients, total derivatives and regularity conditions for higher partials.

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