Finite martingale

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.

An integrable finite process adapted to the same filtration is a martingale when the next value's conditional expectation equals the current value almost surely at every step.

mko-martingale · definition · v0.10.0

Mathematical statement

On one common finite probability space, completely check filtration nesting, adaptedness, integrability and E[X_(t+1)|F_t]=X_t for every t. On zero-mass information blocks conditional values are determined only almost surely. No independent-increment, Markov, optional-stopping or convergence conclusion follows.

Representative formula (exact TeX)

M(X,F)

Assumptions

  • Exact rational masses, the partition filtration and process values belong to the same finite sample space.
  • The main conditioning models use positive-mass blocks; zero mass records only the almost-sure boundary.

Symbol scope

  • M — finite martingale
  • F — same filtration

Intuition, definition, and misconceptions

Check filtration and adaptedness first.

For each time block compute the conditional mean of the next value.

Expectation invariance is a consequence, not the complete martingale definition.

Constant total expectation does not by itself define a martingale, and independent increments or optional stopping do not follow automatically.

Adopted derivation guide

A complete two-coin martingale audit

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 the specified finite-time model is handled; no convergence or stopping theorem is asserted.

not_formalized

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

Next obligation

Add submartingales, stopping times and optional-stopping boundaries.

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