Subspace embedding — where it appears
Named by 4 essays across one field — each of them below, with the objects they name alongside it.
The dimension does not appear
A random projection preserves the lengths of a set of vectors to within a distortion that depends on how many vectors there are and not on how many coordinates each one has. That is the fact the whole field rests on, and it is genuinely surprising.
The sketch that is not the answer
Sketch-and-solve throws away the original problem and keeps the small one's answer, which is why its answer moves with the seed. Use the same sketch as a preconditioner instead and the condition number the iteration sees is the same number at every κ from a hundred to ten billion — identically the same, to nine digits, because the spectrum cancels out of it.
Built from products alone
A 512-square hierarchical representation, at a relative error of 4·10⁻⁷, from 256 applications of an operator that is never assembled. The compression route reads 262,144 entries; this one reads none, and pays for it with a factor of seven against the representation the entries would have given.
The half of a problem a sketch may touch
A sketch guarantees that a norm is preserved to within a factor. An equality constraint is a statement that a quantity is zero, and no multiplicative guarantee says anything about zero. Sketch a constrained problem written as a weighted one and the constraint is not destroyed — it is demoted, from a violation of 1/τ² to one of ε/τ, exactly half the exponent.
Named alongside it
The objects these essays reach for when they reach for this one.
Random projectionSketchingCondition numberMatrix-freeOversamplingAdmissibilityBlack box constructionDimension reductionEquality-constrained least-squaresExact ground truthHierarchical matrixJohnson–Lindenstrauss