Sketching and Embedding are Equivalent for Norms
Alexandr Andoni, Robert Krauthgamer, Ilya Razenshteyn

TL;DR
This paper characterizes when finite-dimensional normed spaces admit efficient sketching algorithms, showing they are equivalent to embedding into certain ℓ_p spaces, and connects this to longstanding open problems in functional analysis.
Contribution
It provides an almost complete characterization of efficient sketching for normed spaces in terms of embeddings into ℓ_{1-ε} and ℓ_1, linking sketching complexity to geometric properties.
Findings
Efficient sketches exist iff the space embeds into ℓ_{1-ε} with constant distortion.
Norms closed under sum-product admit efficient sketching iff they embed into ℓ_1.
Certain norms like Earth Mover's Distance and trace norm do not admit efficient sketches.
Abstract
An outstanding open question posed by Guha and Indyk in 2006 asks to characterize metric spaces in which distances can be estimated using efficient sketches. Specifically, we say that a sketching algorithm is efficient if it achieves constant approximation using constant sketch size. A well-known result of Indyk (J. ACM, 2006) implies that a metric that admits a constant-distortion embedding into for also admits an efficient sketching scheme. But is the converse true, i.e., is embedding into the only way to achieve efficient sketching? We address these questions for the important special case of normed spaces, by providing an almost complete characterization of sketching in terms of embeddings. In particular, we prove that a finite-dimensional normed space allows efficient sketches if and only if it embeds (linearly) into with…
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