Yeah, that’s exactly it. In my case the null space of a matrix is part of an additive contribution to a larger object. In Julia, the null space can be a matrix with one dimension zero. Instead of having to test for the dimension being zero as a special case, it is convenient if that contribution is automatically equal to a vector of zeros.
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