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Monotone bounded sequence convergence theorem

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 nondecreasing real sequence bounded above converges to the supremum of its terms; the nonincreasing bounded-below version converges to the infimum.

mko-monotone-sequence-convergence-theorem · theorem · v0.10.0

Mathematical statement

Keep whole-sequence monotonicity and the corresponding bound. If s=sup{a_n}, s−epsilon is not an upper bound, supplying an index N; monotonicity then controls every later term a_n. The supremum or infimum need not be a term. A finite prefix supplies no universal certificate, and an unbounded monotone sequence or a bounded nonmonotone one is outside the theorem's hypotheses.

Representative formula (exact TeX)

a_n\to s

Assumptions

  • The prototype uses the full symbolic tail a_n=L±c/(n+shift), c>0 and shift≥1; the denominator shift is separate from the theorem bound s.
  • Epsilon is a positive rational and the error witness is strict.

Symbol scope

  • a_n — monotone real sequence
  • s — supremum or infimum limit bound

Intuition, definition, and misconceptions

Pair nondecreasing with an upper bound, and nonincreasing with a lower bound.

The supremum or infimum need not be attained.

Finite prefixes or a missing hypothesis alone do not supply this theorem certificate.

A few monotone terms do not prove whole-sequence convergence, and a supremum is not always a maximum term.

Adopted derivation guide

A bounded monotone tail and the supremum argument

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

Prerequisites

Verification boundary

Exact exercises use declared whole symbolic tails; finite samples do not prove the general theorem. The theorem bound and prototype denominator shift are kept distinct.

not_formalized

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

Next obligation

Add Bolzano-Weierstrass and further compactness results.

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