A generic (r, m)-erasure correcting set generates for each binary linear code of codimension r a collection of parity check equations that enables iterative decoding of all potentially correctable erasure patterns of size at most m. As we have shown earlier, such a set essentially is just a parity check collection with this property for the Hamming code of codimension r.We prove non-constructively that for fixed m the minimum size F(r, m) of a generic (r, m)-erasure correcting set is linear in r. Moreover, we show constructively that F(r, 3) ≤ 3(r - 1)log23 + 1, which is a major improvement on a previous construction showing that F(r, 3) ≤ 1 + 1/2;r(r - 1).In the course of this work we encountered the following problem that may be of independent interest: what is the smallest size of a collection C ⊆ F2n such that, given any set of s independent vectors in F2n, there is a vector c ∈ C that has inner product 1 with all of these vectors? We show non-constructively that, for fixed s, this number is linear in n.
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