In the recent paper [Jin, Kolda & Ward, arXiv:1909.04801], it is proved that
the Kronecker fast Johnson-Lindenstrauss transform (KFJLT) is, in fact, a
Johnson-Lindenstrauss transform, which had previously only been conjectured. In
this paper, we provide an alternative proof of this, for when the KFJLT is
applied to Kronecker vectors, using a coherence and sampling argument. Our
proof yields a different bound on the embedding dimension, which can be
combined with the bound in the paper by Jin et al. to get a better bound
overall. As a stepping stone to proving our result, we also show that the KFJLT
is a subspace embedding for matrices with columns that have Kronecker product
structure. Lastly, we compare the KFJLT to four other sketch techniques in
numerical experiments on both synthetic and real-world data.Comment: Accepted to Linear Algebra and its Application