Almost every random 2-coloring of the hypercube is reconstructible from multisets of radius-2 ball colorings; for sufficiently many colors, radius-1 suffices.
Indistinguishable sceneries on the Boolean hypercube
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
We show that the scenery reconstruction problem on the Boolean hypercube is in general impossible. This is done by using locally biased functions, in which every vertex has a constant fraction of neighbors colored by $1$, and locally stable functions, in which every vertex has a constant fraction of neighbors colored by its own color. Our methods are constructive, and also give super-polynomial lower bounds on the number of locally biased and locally stable functions. We further show similar results for $\mathbb{Z}^n$ and other graphs, and offer several follow-up questions.
fields
math.CO 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
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Shotgun reconstruction in the hypercube
Almost every random 2-coloring of the hypercube is reconstructible from multisets of radius-2 ball colorings; for sufficiently many colors, radius-1 suffices.