← Return to results

Catalan numbers

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.

With C_0=1, the convolution recurrence and two exact closed forms define the same zero-based Catalan sequence.

mko-catalan-numbers · definition · v0.10.0

Mathematical statement

C_(n+1)=sum over i=0..n of C_i*C_(n−i), and C_n=binomial(2n,n)/(n+1)=binomial(2n,n)−binomial(2n,n+1). Before division, certify that n+1 divides the central binomial coefficient; integer truncation is not a substitute. The domain is n≥0 and the C_0/C_1 indexing conventions must not be mixed.

Representative formula (exact TeX)

C_n

Assumptions

  • n is a bounded nonnegative safe integer.
  • Closed forms use exact BigInt arithmetic with a remainder-zero certificate.

Symbol scope

  • C_n — zero-based Catalan number

Intuition, definition, and misconceptions

The base value is C_0=1.

The recurrence sums every split.

Closed forms need exact divisibility and cross-checks.

Do not begin at C_1 while using a C_0 formula, or silently truncate the quotient.

Adopted derivation guide

Catalan convolution and a divisibility certificate

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

Prerequisites

Verification boundary

Negative indices are outside the domain; this slice does not automatically prove every Catalan combinatorial bijection.

not_formalized

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

Next obligation

Add analytic generating functions.

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