It ain't over till it's over

Published on ● Video Link: https://www.youtube.com/watch?v=1QYgXen_vpE



Duration: 56:56
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Pei Wu (Institute for Advanced Study)
https://simons.berkeley.edu/talks/pei-wu-institute-advanced-study-2023-06-29
Beyond the Boolean Cube

In the talk, we discuss the probability of Boolean functions with small max influence to become constant under random restrictions. Let f be a Boolean function such that the variance of f is $\Omega(1)$ and all its individual influences are bounded by $\tau$. We show that when restricting all but a $\tilde{\Omega}((\log1/\tau)^{-1})$ fraction of the coordinates, the restricted function remains nonconstant with overwhelming probability. This bound is essentially optimal, as witnessed by the tribes function $AND_{n/C\log n} \circ OR_{C\log n}$.
We extend it to an anti-concentration result, showing that the restricted function has nontrivial variance with probability 1-o(1). This gives a sharp version of the ``it ain't over till it's over'' theorem due to Mossel, O'Donnell, and Oleszkiewicz.

Joint work with Avi Wigderson and Ronen Eldan







Tags:
Simons Institute
theoretical computer science
UC Berkeley
Computer Science
Theory of Computation
Theory of Computing
Beyond the Boolean Cube
Pei Wu