Abstract
A Boolean function g is said to be an optimal predictor for another Boolean function f if it minimizes the probability that f(Xn) = g(Y n) among all functions, where Xn is uniform over the Hamming cube and Y n is obtained from Xn by independently flipping each coordinate with probability δ. This paper is about self-predicting functions, which are those that coincide with their optimal predictor.
Original language | English |
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Pages (from-to) | 665-693 |
Number of pages | 29 |
Journal | SIAM Journal on Discrete Mathematics |
Volume | 33 |
Issue number | 2 |
DOIs | |
State | Published - 2019 |
Keywords
- Boolean functions
- Fourier analysis
- Optimal prediction
- Stability
All Science Journal Classification (ASJC) codes
- General Mathematics