Reconstruction of hypermatrices from subhypermatrices

preprint2024arXivOpen access

Abstract

For a given nn, what is the smallest number kk such that every sequence of length nn is determined by the multiset of all its kk-subsequences? This is called the kk-deck problem for sequence reconstruction, and has been generalized to the two-dimensional case -- reconstruction of n×nn\times n-matrices from submatrices. Previous works show that the smallest kk is at most O(n12)O(n^\frac{1}{2}) for sequences and at most O(n23)O(n^\frac{2}{3}) for matrices. We study this kk-deck problem for general dimension dd and prove that, the smallest kk is at most O(ndd+1)O(n^\frac{d}{d+1}) for reconstructing a dd dimensional hypermatrix of order nn from the multiset of all its subhypermatrices of order kk.

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