Affiliation:
1. University of Michigan, Ann Arbor, MI
Abstract
One of the longest-standing open problems in computational geometry is bounding the complexity of the lower envelope of
n
univariate functions, each pair of which crosses at most
s
times, for some fixed
s
. This problem is known to be equivalent to bounding the length of an order-
s
Davenport-Schinzel sequence, namely, a sequence over an
n
-letter alphabet that avoids alternating subsequences of the form
a
…
b
…
a
…
b
… with length
s
+2. These sequences were introduced by Davenport and Schinzel in 1965 to model a certain problem in differential equations and have since been applied to bound the running times of geometric algorithms, data structures, and the combinatorial complexity of geometric arrangements.
Let λ
s
(
n
) be the maximum length of an order-
s
DS sequence over
n
letters. What is λ
s
asymptotically? This question has been answered satisfactorily [Hart and Sharir 1986; Agarwal et al. 1989; Klazar 1999; Nivasch 2010], when
s
is even or
s
≤ 3. However, since the work of Agarwal et al. in the mid-1980s, there has been a persistent gap in our understanding of the odd orders.
In this work, we effectively close the problem by establishing sharp bounds on Davenport-Schinzel sequences of every order
s
. Our results reveal that, contrary to one's intuition, λ
s
(
n
) behaves essentially like λ
s
-1
(
n
) when
s
is odd. This refutes conjectures by Alon et al. [2008] and Nivasch [2010].
Funder
NSF CAREER
US-Israel Binational Science Foundation
NSF
Publisher
Association for Computing Machinery (ACM)
Subject
Artificial Intelligence,Hardware and Architecture,Information Systems,Control and Systems Engineering,Software
Cited by
3 articles.
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