In probability theory, a zero–one law is a result that states that an event must have probability 0 or 1 and no intermediate value. Sometimes, the statement is that the limit of certain probabilities must be 0 or 1.

It may refer to:

• Borel–Cantelli lemma
• Blumenthal's zero–one law for Markov processes,
• Engelbert–Schmidt zero–one law for continuous, nondecreasing additive functionals of Brownian motion,
• Hewitt–Savage zero–one law for exchangeable sequences,
• Kolmogorov's zero–one law for the tail σ-algebra,
• Lévy's zero–one law, related to martingale convergence.
• Topological zero–one law, related to meager sets,
• Gaussian process § Driscoll's zero-one law
• Zero-one law (logic) for sentences valid in finite structures.

Index of articles associated with the same name

This article includes a list of related items that share the same name (or similar names).
If an internal link incorrectly led you here, you may wish to change the link to point directly to the intended article.