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3 Basic Problem
3.1
Optimal Online Strategy
We first show a lower bound on the competitive difference and then give a
strategy whose competitive difference coincides with that value. We begin by
presenting a simple lemma on the oine cost.
Lemma 1.
For the basic problem, it holds that
C
opt
(
k
)=
1
,k
=1;
0
,k
≥
2
.
Proof.
It is trivial that
C
opt
(1) = 1 since the cost is one wherever we place a
single point. For
k
2, just adopt the strategy (0
,
2
k
,
4
k
,...,
2(
k
−
1)
ˀ
≥
).
k
By rotational symmetry, we can assume that an optimal strategy satisfies
ʸ
1
=0
and 0
157
ⓦ
), which is a key angle for obtaining
an optimal strategy. The next lemma gives a lower bound on the competitive
difference.
ˀ
.Let
ʱ
:= 2 arccos
5
≤
ʸ
2
≤
(
≈
Lemma 2.
Any strategy for the basic problem has a competitive difference of at
least
1
5
.
Proof.
Fix a strategy
θ
arbitrarily. By rotational symmetry, we can assume that
ʸ
1
=0and0
≤
ʸ
2
≤
ˀ
. We will show that the competitive difference is at least
1
5
regardless of the value of
ʸ
2
.
(i) Case 0
≤
ʸ
2
<ʱ
.Wehave
G
θ
(2) :=
1
2
sin
ʸ
2
.
2
(1 + cos
ʸ
2
)
,
1
cos
2
Since
x
→
is a decreasing function on [0
,ˀ
],
(1 + cos
ʸ
2
)
2
+sin
2
ʸ
2
=cos
ʸ
2
2
C
θ
(2) =
1
2
>
cos
ʱ
2
=
1
5
.
On the other hand,
C
opt
(2) = 0 by Lemma
1
. Therefore, the competitive differ-
ence is greater than
1
5
.
ʸ
2
<ˀ
. We evaluate the cost after the third point has been
placed. For ease of analysis, we square the cost:
(ii) Case
ʱ
≤
C
θ
(3)
2
=
1
3
cos
ʸ
j
2
+
1
3
sin
ʸ
j
2
3
3
j
=1
j
=1
=
2
9
sin
ʸ
2
sin
ʸ
3
+
2
9
cos
ʸ
3
cos
ʸ
2
+
2
9
cos
ʸ
2
+
2
9
cos
ʸ
3
+
1
3
.
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