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ball
B
of radius
b
and RED closed balls
R
1
,...,
R
k
of radii
r
1
,...,
r
k
where all the closed
∩
i
=
1
R
i
=
balls have their centres in
S
.
The payoff (to RED) is 1 if
S
∩
B
/0and0otherwise.
Note that the Hide in a Disc Game is equivalent to one in which BLUE chooses
a closed disc of radius
r
B
and RED a closed disc of radius
c
−
r
B
.
Thus, when the
topology is given by the Euclidean metric, special cases of
Γ
S
(
b
;
r
1
,...,
r
k
)
include:
•
Hide in a Disc Game
where
S
is the unit disc,
b
=
r
b
,
k
=
1and
r
1
=
c
−
r
B
;
•
Several Intervals Game
where
S
is the unit interval, the closed balls are closed
intervals and
b
=
0;
•
Several Intervals Game Variation
in which BLUE chooses an interval of length
b
instead of a point.
So far research on Ruckle-type games has almost exclusively concerned itself
with problems in which the Euclidean topology is employed but, from a games
that people do not play standpoint, there is no reason why other topologies should
be ignored. In particular the Euclidean topology is a special case (
p
=
2) of the
topology given by the distance function
n
i
=
1
(
|
x
i
−
y
i
|
)
p
1
/
p
||
x
−
y
||
p
=(
)
where
x
=(
x
1
,...,
x
n
)
,
y
=(
y
1
,...,
y
n
)
and
p
≥
1
.
When
p
=
1
,
we have the Manhat-
tan, or taxicab, topology whereas the limit as
p
→
∞
gives the Chebyshev topology
which is represented by the distance function
Note
that closed balls in
R
2
takes the shape of a square in the Chebyshev topology and
the shape of a diamond in the Manhattan topology. A closed ball in
R
1
||
x
−
y
||
∞
=
max
1
≤
i
≤
n
|
x
i
−
y
i
|.
is a linear
segment for all
p
.
In contrast to the Euclidean version, the Chebyshev Hide in a Disc Game, even
in its
n
-dimensional form, is easy to solve; it can be stated as follows:
Play takes place in
I
n
where
I
denotes the unit interval. BLUE chooses a point and RED a
n
-cube of side 2
r
1
and the payoff to RED is 1 if BLUE's point is in RED's cube and zero
otherwise.
be a minimum cover of
I
n
Let
G
by cubes of side 2
r
1
then, if RED chooses a
member of
G
at random, RED's expectation is at least 1
/|G|.
Let
m
be the posi-
tive integer such that 2
mr
1
<
1
≤
2
mr
1
+
1
,
δ
satisfy 0
<
δ
<
(
1
−
2
mr
1
)
/
m
and
P
(
i
)=
2
i
(
r
1
+
δ
)
.
If BLUE selects one of the points
B
=
{
(
P
(
i
1
)
,...,
P
(
i
n
))
:
i
j
=
0
,
1
...,
m
for
j
=
1
,...,
n
}
at random, then
||
(
P
(
i
)
,
P
(
j
))
−
(
P
(
s
)
,
P
(
t
))
||
=
max
{|
2
(
s
−
i
)(
r
1
+
δ
)
|,|
2
(
t
−
j
)(
r
1
+
δ
)
|}
1
≥
(
+
δ
)
.
2
r
1
Thus any closed ball of radius
r
1
contains at most one point of
B
so BLUE can
2
restrict RED's expectation to at most 1
/
(
m
+
1
)
.
But, taking
S
(
i
,
j
)
to denote the
closed ball with centre at the point
((
2
i
+
1
)
r
1
,
(
2
j
+
1
)
r
1
+
1
)
and radius
r
1
, {
S
(
i
,
j
)
:
2
members so RED can expect at
0
≤
i
,
j
<
m
}
is a cover of
I
×
I
containing
(
m
+
1
)
2
and the game is solved.
least 1
/
(
m
+
1
)
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