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Phi-Mixing


Phi-mixing is a strong asymptotic independence condition for a stationary sequence (X_t)_(t in Z). If F_(-infty)^0 and F_n^infty are the sigma-algebras generated by the past and the future separated by n steps, define

 phi(n)=sup_(A in F_(-infty)^0,P(A)>0,B in F_n^infty)|P(B|A)-P(B)|.

The sequence is phi-mixing when phi(n)->0. This controls conditional probabilities uniformly over past events of arbitrarily small positive probability. An independent sequence has phi(n)=0 for every n>=1.

The Ibragimov-Iosifescu conjecture asks whether this mixing condition, finite variance, and divergence of the variance of partial sums suffice for a central limit theorem without an additional rate assumption on phi(n).


See also

Central Limit Theorem, Conditional Probability, Ibragimov-Iosifescu Conjecture, Sigma-Algebra, Stationary Time Series

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References

Adamczewski, T. "Ibragimov-Iosifescu Phi-Mixing CLT Conjecture." 2026. https://github.com/tadamcz/phi-mixing-clt.

Cite this as:

Weisstein, Eric W. "Phi-Mixing." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/Phi-Mixing.html

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