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Dual vector space

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.

The dual of a real vector space consists of all real-valued linear functionals; a covector coordinate row depends on a chosen basis.

mko-dual-vector-space · definition · v0.10.0

Mathematical statement

This slice uses finite-dimensional V=R^n. A row covector gives a symbolic linearity certificate, and a dual basis is checked by phi_i(v_j)=delta_ij. A primal vector and a dual functional are distinct; without extra structure no canonical identification V→V* is claimed.

Representative formula (exact TeX)

\varphi\in V^*

Assumptions

  • Fix a finite-dimensional real space and an explicit ordered basis.
  • Use exact rational arithmetic for matrices, functional values and changes of basis.

Symbol scope

  • V^* — dual vector space
  • \varphi — linear functional
  • V — finite real vector space

Intuition, definition, and misconceptions

A dual element is a function, not a primal vector.

Every dual-basis pairing must satisfy its Kronecker-delta condition.

Primal and covector coordinates follow opposite change laws; identifying their spaces requires a choice of extra structure.

Notation candidate: V* is the real dual space of linear functionals V→R; the representative formula declares membership,not an unspecified power or a canonical identification of vectors and functionals.

Equal-length coordinate arrays do not make vectors and functionals the same canonical object.

Adopted derivation guide

Dual basis and covector change

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 finite-dimensional R^n and explicit bases are handled; no infinite-dimensional continuous-dual or canonical-isomorphism claim is inferred.

not_formalized

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

Next obligation

Add annihilators, the double dual and adjoints.

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