How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Martingale submartingale and supermartingale
Definition
Assume AC The Axiom of Choice. An integrable adapted real process Adapted and integrable stochastic process is a martingale, submartingale, or supermartingale when, respectively, for every , These are three separate conditions, with the convention that a submartingale has conditional future mean at least its present value. The conditional expectations are the almost-sure classes of Conditional expectation as an ae class; that supplier inherits AC from its Radon–Nikodym existence proof. The definition itself selects no representative and assumes no completed filtration.
The condition is imposed at each adjacent pair of times. An all-pairs formulation requires a proof. No boundedness or independence is part of this definition, and no trivial or deterministic initial value is imposed.
Depends on
Used by
- Nonnegative predictable transforms preserve submartingale gains Corollary
- Submartingale doob decomposition has increasing compensator Corollary
- A submartingale need not have increasing sample paths Counterexample
- An adapted process need not be a martingale Counterexample
- An unbounded predictable transform may lose integrability Counterexample
- Compensator and doob decomposition Definition
- Predictable quadratic variation in discrete time Definition
- Partial sums of independent centered variables are a martingale Example
- Polya urn proportion martingale Example
- Product martingale from independent mean one factors Example
- Square of a martingale minus quadratic compensator Example
- Conditional expectation process is a martingale Lemma
- Multistep martingale characterization Lemma
- Bounded predictable transforms preserve martingales Theorem
- Convex functions of martingales are submartingales Theorem
- Martingales and martingale differences correspond Theorem
Dependency tree · two levels
12 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Durrett, Probability: Theory and Examples, fifth edition (standard reference, not scraped)