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Shotgun Assembly of Random Jigsaw Puzzles

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abstract

In a recent work, Mossel and Ross considered the shotgun assembly problem for a random jigsaw puzzle. Their model consists of a puzzle - an $n\times n$ grid, where each vertex is viewed as a center of a piece. They assume that each of the four edges adjacent to a vertex, is assigned one of $q$ colors (corresponding to "jigs", or cut shapes) uniformly at random. Mossel and Ross asked: how large should $q = q(n)$ be so that with high probability the puzzle can be assembled uniquely given the collection of individual tiles? They showed that if $q = \omega(n^2)$, then the puzzle can be assembled uniquely with high probability, while if $q = o(n^{2/3})$, then with high probability the puzzle cannot be uniquely assembled. Here we improve the upper bound and show that for any $\eps > 0$, the puzzle can be assembled uniquely with high probability if $q \geq n^{1+\eps}$. The proof uses an algorithm of $n^{\Theta(1/\eps)}$ running time.

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math.CO 1

years

2019 1

verdicts

UNVERDICTED 1

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Shotgun reconstruction in the hypercube

math.CO · 2019-07-16 · unverdicted · novelty 6.0

Almost every random 2-coloring of the hypercube is reconstructible from multisets of radius-2 ball colorings; for sufficiently many colors, radius-1 suffices.

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  • Shotgun reconstruction in the hypercube math.CO · 2019-07-16 · unverdicted · none · ref 6 · internal anchor

    Almost every random 2-coloring of the hypercube is reconstructible from multisets of radius-2 ball colorings; for sufficiently many colors, radius-1 suffices.