Real bilinear form

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 bilinear form on a real vector space preserves addition and real scalar multiplication separately in each input.

mko-real-bilinear-form · definition · v0.10.0

Mathematical statement

B:V×V→R is bilinear when fixing either input leaves a linear map in the other. This slice uses the integer-coefficient matrix formula B(x,y)=x^T A y as a universal coordinate certificate and for exact evaluation.

Representative formula (exact TeX)

B(x,y)

Assumptions

  • Every vector and matrix dimension is fully compatible, and exercise coordinates are safe integers.
  • Matrix expansion is a universal algebraic certificate of bilinearity; finite samples alone do not prove that an arbitrary black-box function is bilinear.

Symbol scope

  • B — real bilinear form
  • A — coordinate matrix
  • x — first input
  • y — second input

Intuition, definition, and misconceptions

Linearity in the first and second slots are separate obligations.

Every real matrix defines a bilinear form in compatible coordinates.

Symmetry, positive definiteness, nondegeneracy and inner-product qualification are additional conditions.

Checking B(x,y)=B(y,x), or addition in a few examples, does not establish bilinearity or an inner product.

Adopted derivation guide

Real bilinear form: proving bilinearity slot by slot from x^T A y, with exact evaluation

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

Prerequisites

Verification boundary

The matrix formula certifies bilinearity, not automatically symmetry, positive definiteness, nondegeneracy or an inner product.

not_formalized

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

Next obligation

Add real inner-product spaces and inner-product-induced norms.

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