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The Andoni–Krauthgamer–Razenshteyn Characterization of Sketchable Norms Fails for Sketchable Metrics

In: Harmonic Analysis and Applications

Author

Listed:
  • Subhash Khot

    (New York University)

  • Assaf Naor

    (Princeton University)

Abstract

Andoni, Krauthgamer, and Razenshteyn (AKR) proved (STOC 2015) that a finite-dimensional normed space (X, ∥⋅∥X) admits a O(1) sketching algorithm (namely, with O(1) sketch size and O(1) approximation) if and only if for every ε ∈ (0, 1), there exist α ⩾ 1 $$\alpha \geqslant 1$$ and an embedding f : X → ℓ 1−ε such that ∥ x − y ∥ X ⩽ ∥ f ( x ) − f ( y ) ∥ 1 − ε ⩽ α ∥ x − y ∥ X $$\|x-y\|{ }_X\leqslant \|f(x)-f(y)\|{ }_{1-\varepsilon }\leqslant \alpha \|x-y\|{ }_X$$ for all x, y ∈ X. The “if part” of this theorem follows from a sketching algorithm of Indyk (FOCS 2000). The contribution of AKR is therefore to demonstrate that the mere availability of a sketching algorithm implies the existence of the aforementioned geometric realization. Indyk’s algorithm shows that the “if part” of the AKR characterization holds true for any metric space whatsoever, i.e., the existence of an embedding as above implies sketchability even when X is not a normed space. Due to this, a natural question that AKR posed was whether the assumption that the underlying space is a normed space is needed for their characterization of sketchability. We resolve this question by proving that for arbitrarily large n ∈ ℕ $$n\in \mathbb N$$ , there is an n-point metric space (M(n), d M(n)) which is O(1)-sketchable yet for every ε ∈ ( 0 , 1 2 ) $$\varepsilon \in (0,\frac 12)$$ , if α ( n ) ⩾ 1 $$\alpha (n)\geqslant 1$$ and f n : M(n) → ℓ 1−ε are such that d M ( n ) ( x , y ) ⩽ ∥ f n ( x ) − f n ( y ) ∥ 1 − ε ⩽ α ( n ) d M ( n ) ( x , y ) $$d_{M(n)}(x,y)\leqslant \|f_n(x)-f_n(y)\|{ }_{1-\varepsilon }\leqslant \alpha (n) d_{M(n)}(x,y)$$ for all x, y ∈ M(n), then necessarily limn→∞ α(n) = ∞.

Suggested Citation

  • Subhash Khot & Assaf Naor, 2021. "The Andoni–Krauthgamer–Razenshteyn Characterization of Sketchable Norms Fails for Sketchable Metrics," Springer Optimization and Its Applications, in: Michael Th. Rassias (ed.), Harmonic Analysis and Applications, pages 185-204, Springer.
  • Handle: RePEc:spr:spochp:978-3-030-61887-2_8
    DOI: 10.1007/978-3-030-61887-2_8
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