← Return to results

Finite filtration

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 finite-time filtration is a sequence of sigma-algebras on the same probability space whose information increases with time.

mko-finite-filtration · definition · v0.10.0

Mathematical statement

Represent each time's sigma-algebra by a partition of the same finite sample space. F_s being contained in F_t means the later partition refines the earlier one. A filtration specifies information nesting only: a process is not automatically adapted, and no natural-filtration, independence or Markov claim follows.

Representative formula (exact TeX)

F(t)

Assumptions

  • Every partition uses the same outcomes 0 through n−1; labels within a row indicate only block equivalence.
  • Refinement is checked completely at every pair of adjacent times; finitely sampled events do not establish sigma-algebra inclusion.

Symbol scope

  • F — finite filtration
  • t — time index

Intuition, definition, and misconceptions

A finer partition represents more information.

Every later block must be contained in an earlier block.

An event is measurable exactly when it is a union of current blocks; adaptedness is checked separately.

An arbitrary partition sequence is not necessarily a filtration, and a filtration does not automatically make a process adapted, independent or Markov.

Adopted derivation guide

Finite filtration: checking information nesting by partition refinement, and separating it from adaptedness and independence

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 complete finite partition sequences are handled; no natural-filtration or process-property claim 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

Together with conditional expectation, add martingales.

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