Pointwise convergence of functions

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 function sequence on one domain converges pointwise when its value sequence converges at each fixed x; the witness N may depend on x and epsilon.

mko-pointwise-convergence-of-functions · definition · v0.10.0

Mathematical statement

This slice uses a complete finite domain and the symbolic tail f_n(x)=f(x)+c_x/(n+s). Supply an exact epsilon witness for each x. A maximum of the finitely many witnesses gives uniform convergence for this finite model, not for an arbitrary infinite domain. A finite prefix is insufficient.

Representative formula (exact TeX)

P(F)

Assumptions

  • All f_n and f use the same explicitly specified finite domain and codomain.
  • Epsilon is a positive rational and the tail certificate holds for every n≥N.

Symbol scope

  • P — pointwise convergence
  • F — function sequence

Intuition, definition, and misconceptions

N may depend on both x and epsilon.

A finite domain permits the finite maximum of all pointwise witnesses.

A finite prefix does not prove convergence, and the finite-domain implication does not extend automatically to infinite domains.

Do not exchange quantifiers to infer uniform convergence in general, or infer a limit from finitely many terms.

Adopted derivation guide

Pointwise tail certificates on a finite domain

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 explicit finite domains and symbolic rational tails are handled.

not_formalized

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

Next obligation

Add uniform convergence and conditions for interchanging limits.

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