TY - CHAP
T1 - The Andoni–Krauthgamer–Razenshteyn Characterization of Sketchable Norms Fails for Sketchable Metrics
AU - Khot, Subhash
AU - Naor, Assaf
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - 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 and an embedding f : X → ℓ1−ε such that ∥ x− y∥ X⩽ ∥ f(x) − f(y) ∥ 1−ε⩽ α∥ 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, there is an n-point metric space (M(n), dM(n)) which is O(1)-sketchable yet for every if α(n) ⩾ 1 and fn : M(n) → ℓ1−ε are such that dM(n)(x, y) ⩽ ∥ fn(x) − fn(y) ∥ 1−ε⩽ α(n) dM(n)(x, y) for all x, y ∈ M(n), then necessarily limn→∞α(n) = ∞.
AB - 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 and an embedding f : X → ℓ1−ε such that ∥ x− y∥ X⩽ ∥ f(x) − f(y) ∥ 1−ε⩽ α∥ 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, there is an n-point metric space (M(n), dM(n)) which is O(1)-sketchable yet for every if α(n) ⩾ 1 and fn : M(n) → ℓ1−ε are such that dM(n)(x, y) ⩽ ∥ fn(x) − fn(y) ∥ 1−ε⩽ α(n) dM(n)(x, y) for all x, y ∈ M(n), then necessarily limn→∞α(n) = ∞.
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U2 - 10.1007/978-3-030-61887-2_8
DO - 10.1007/978-3-030-61887-2_8
M3 - Chapter
AN - SCOPUS:85103627512
T3 - Springer Optimization and Its Applications
SP - 185
EP - 204
BT - Springer Optimization and Its Applications
PB - Springer
ER -