Three candidate plurality is stablest for small correlations
Forum of Mathematics, Sigma, Tome 9 (2021)

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Using the calculus of variations, we prove the following structure theorem for noise-stable partitions: a partition of n-dimensional Euclidean space into m disjoint sets of fixed Gaussian volumes that maximise their noise stability must be $(m-1)$-dimensional, if $m-1\leq n$. In particular, the maximum noise stability of a partition of m sets in $\mathbb {R}^{n}$ of fixed Gaussian volumes is constant for all n satisfying $n\geq m-1$. From this result, we obtain: (i) A proof of the plurality is stablest conjecture for three candidate elections, for all correlation parameters $\rho $ satisfying $0\rho \rho _{0}$, where $\rho _{0}>0$ is a fixed constant (that does not depend on the dimension n), when each candidate has an equal chance of winning.(ii) A variational proof of Borell’s inequality (corresponding to the case $m=2$).The structure theorem answers a question of De–Mossel–Neeman and of Ghazi–Kamath–Raghavendra. Item (i) is the first proof of any case of the plurality is stablest conjecture of Khot-Kindler-Mossel-O’Donnell for fixed $\rho $, with the case $\rho \to L1^{-}$ being solved recently. Item (i) is also the first evidence for the optimality of the Frieze–Jerrum semidefinite program for solving MAX-3-CUT, assuming the unique games conjecture. Without the assumption that each candidate has an equal chance of winning in (i), the plurality is stablest conjecture is known to be false.
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     author = {Steven Heilman and Alex Tarter},
     title = {Three candidate plurality is stablest for small correlations},
     journal = {Forum of Mathematics, Sigma},
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Steven Heilman; Alex Tarter. Three candidate plurality is stablest for small correlations. Forum of Mathematics, Sigma, Tome 9 (2021). doi: 10.1017/fms.2021.56

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