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Multivariable real-valued function

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 multivariable real-valued function maps inputs in an explicitly declared real-vector domain to real numbers; coordinate roles and domain are function data.

mko-multivariable-real-function · definition · v0.10.0

Mathematical statement

This entry initially restricts attention to explicit slices of bivariate real polynomials f:R²→R, with coefficients ordered as [1,x,y,x²,x*y,y²]. Function qualification requires a declared domain and coordinate roles; continuity, differentiability and vector-valued codomains are not automatically asserted.

Representative formula (exact TeX)

f(x,y)

Assumptions

  • Exercises use six integer coefficients and integer coordinate points.
  • Rectangle-domain audits check only an explicitly declared closed rectangle. Although polynomial expressions can be globally defined, the exercise still follows its declared domain.

Symbol scope

  • f — bivariate real-valued function
  • x — first coordinate
  • y — second coordinate

Intuition, definition, and misconceptions

A fixed coefficient order is necessary for exact recomputation.

Rectangle-domain membership requires checking the x and y bounds separately.

Fixing y gives only one x-slice; a finite slice table does not determine the full function.

Do not swap x and y coefficients or use a few point values to establish global function equivalence, continuity or differentiability.

Adopted derivation guide

Multivariable real-valued function: coefficient order, declared domain, slices and point values of a bivariate 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

Only R²→R polynomial slices are checked; partial derivatives and general regularity are not established.

not_formalized

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

Next obligation

Add partial derivatives, gradients and PDEs.

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