Affiliation:
1. Stanford University, Stanford, CA
Abstract
A spanner is a sparse subgraph that approximately preserves the pairwise distances of the original graph. It is well known that there is a smooth tradeoff between the sparsity of a spanner and the quality of its approximation, so long as distance error is measured
multiplicatively
. A central open question in the field is to prove or disprove whether such a tradeoff exists also in the regime of
additive
error. That is, is it true that for all ε > 0, there is a constant
k
ε
such that every graph has a spanner on
O
(
n
1+ε
) edges that preserves its pairwise distances up to +
k
ε
? Previous lower bounds are consistent with a positive resolution to this question, while previous upper bounds exhibit the beginning of a tradeoff curve: All graphs have +2 spanners on
O
(
n
3/2
) edges, +4 spanners on
Õ
(
n
7/5
) edges, and +6 spanners on
O
(
n
4/3
) edges. However, progress has mysteriously halted at the
n
4/3
bound, and despite significant effort from the community, the question has remained open for all 0 < ε < 1/3.
Our main result is a surprising negative resolution of the open question, even in a highly generalized setting. We show a new information theoretic
incompressibility
bound: There is no function that compresses graphs into
O
(
n
4/3 − ε
) bits so distance information can be recovered within +
n
o(1)
error. As a special case of our theorem, we get a
tight
lower bound on the sparsity of additive spanners: the +6 spanner on
O
(
n
4/3
) edges cannot be improved in the exponent, even if any
subpolynomial
amount of additive error is allowed. Our theorem implies new lower bounds for related objects as well; for example, the 20-year-old +4 emulator on
O
(
n
4/3
) edges also cannot be improved in the exponent unless the error allowance is polynomial.
Central to our construction is a new type of graph product, which we call the
Obstacle Product
. Intuitively, it takes two graphs
G
,
H
and produces a new graph
G
⊗
H
whose shortest paths structure looks locally like
H
but globally like
G
.
Publisher
Association for Computing Machinery (ACM)
Subject
Artificial Intelligence,Hardware and Architecture,Information Systems,Control and Systems Engineering,Software
Cited by
26 articles.
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