Abstract
AbstractWe say that a set of points $$S\subset {{\mathbb {R}}}^d$$
S
⊂
R
d
is an $$\varepsilon $$
ε
-nearly k-distance set if there exist $$1\le t_1\le \ldots \le t_k$$
1
≤
t
1
≤
…
≤
t
k
, such that the distance between any two distinct points in S falls into $$[t_1,t_1+\varepsilon ]\cup \cdots \cup [t_k,t_k+\varepsilon ]$$
[
t
1
,
t
1
+
ε
]
∪
⋯
∪
[
t
k
,
t
k
+
ε
]
. In this paper, we study the quantity $$\begin{aligned} M_k(d) = \lim _{\varepsilon \rightarrow 0}\max {\{|S|:S\,\text { is an}\, \varepsilon \text {-nearly}\, k\text {-distance set in}\,{{\mathbb {R}}}^d\}} \end{aligned}$$
M
k
(
d
)
=
lim
ε
→
0
max
{
|
S
|
:
S
is an
ε
-nearly
k
-distance set in
R
d
}
and its relation to the classical quantity $$m_k(d)$$
m
k
(
d
)
: the size of the largest k-distance set in $${{\mathbb {R}}}^d$$
R
d
. We obtain that $$M_k(d)=m_k(d)$$
M
k
(
d
)
=
m
k
(
d
)
for $$k=2,3$$
k
=
2
,
3
, as well as for any fixed k, provided that d is sufficiently large. The last result answers a question, proposed by Erdős, Makai, and Pach. We also address a closely related Turán-type problem, studied by Erdős, Makai, Pach, and Spencer in the 90s: given n points in $${{\mathbb {R}}}^d$$
R
d
, how many pairs of them form a distance that belongs to $$[t_1,t_1+1]\cup \cdots \cup [t_k,t_k+1]$$
[
t
1
,
t
1
+
1
]
∪
⋯
∪
[
t
k
,
t
k
+
1
]
, where $$t_1,\dots ,t_k$$
t
1
,
⋯
,
t
k
are fixed and any two points in the set are at distance at least 1 apart? We establish the connection between this quantity and a quantity closely related to $$M_k(d-1)$$
M
k
(
d
-
1
)
, as well as obtain an exact answer for the same ranges k, d as above.
Funder
Russian Foundation for Basic Research
Councilfor the Support of Leading Scientific Schools of the President of the Russian Federation
National Research, Development, and Innovation Office
London Mathematical Society
European Research Council
Publisher
Springer Science and Business Media LLC
Subject
Computational Theory and Mathematics,Discrete Mathematics and Combinatorics,Geometry and Topology,Theoretical Computer Science
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