A conditional 0-1 law for the symmetric sigma-field
Patrizia Berti, Pietro Rigo

TL;DR
This paper proves a 0-1 law for symmetric sigma-fields, showing that under certain conditions, the regular conditional distribution is almost surely degenerate on these fields, extending classical results.
Contribution
It establishes a new conditional 0-1 law for symmetric sigma-fields applicable to any probability measure with countably generated sigma-algebra.
Findings
Existence of a set in the sigma-field with probability one where the conditional distribution is degenerate.
The law applies regardless of the underlying probability measure, given certain regularity conditions.
The result generalizes classical 0-1 laws to symmetric and tail sigma-fields.
Abstract
Let (\Omega,\mathcal{B},P) be a probability space, \mathcal{A} a sub-sigma-field of \mathcal{B}, and \mu a regular conditional distribution for P given \mathcal{A}. For various, classically interesting, choices of \mathcal{A} (including tail and symmetric) the following 0-1 law is proved: There is a set A_0 in \mathcal{A} such that P(A_0)=1 and \mu(\omega)(A) is 0 or 1 for all A in \mathcal{A} and \omega in A_0. Provided \mathcal{B} is countably generated (and certain regular conditional distributions exist), the result applies whatever P is.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical and Theoretical Analysis · Advanced Topology and Set Theory · Stochastic processes and financial applications
