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In-Depth Information
u
p
=
For c
16 we have:
\
u
a
\
u
b
;
c
=
x
p
ð
c
Þ
\
c
=
ð
3
:
20
Þ
where a = 0.5pexp(
−
2c) and b = p/2.
When c
→
∞
, we have:
x
p
ðÞ
¼1
þ
u
p
c
1
=
2
þ
O 1
ðÞ
=
3
:
21
Þ
From Eqs. (
3.13
) and (
3.21
) we obtain:
h
i
Þ
c
1
=
2
W
c
ðÞ
¼
U
ð
x
1
þ
O 1
ðÞ
=
3
:
22
Þ
m=
E
m
is asymptotically normal with average value and
dispersion equal to 1 and 1/c, respectively, when c
→
∞
Thus, the random value
. The expressions (
3.13
)
and (
3.22
) can receive various analytical approximations of W
c
. For example, let us
represent
ʦ
(y) by the following:
U
ðÞ
¼
U
y
ðÞþu
y
ðÞ
y
y
0
ð
Þ
1
0
½
:
5y
0
y
y
0
ð
Þ
;
ð
3
:
23
Þ
1
=
2
1
=
2
where
y ¼ x
1
and x
0
is some point where
ð
Þ
c
ðÞ
=
;
y
0
¼ x
0
1
ð
Þ
c
ð
=
x
0
Þ
the value of
was estimated.
The following formula can be easily derived using Eqs. (
3.12
), (
3.13
) and (
3.23
):
ʦ
W
c
ðÞ
¼W
c
x
ðÞþu
y
ðÞ
y
y
0
ð
Þ
1
0
½
:
5y
0
y
y
0
ð
Þ
þumðÞm m
0
ð
Þ
exp 2
ðÞ
1
0
½
:
5
m
0
ð
m m
0
Þ
;
ð
3
:
24
Þ
where
1
=
2
1
=
2
and
m
¼
x
þ
1
ð
Þ
c
ðÞ
=
; m
0
¼
x
0
þ
1
ð
Þ
c
ð
=
x
0
Þ
h
i
z
z
0
5 z
0
1
2
u
ðÞ
¼
u
z
ðÞ
1
z
0
z
z
0
ð
Þ
0
:
ð
Þ
:
Let us designate
Z
x
exp
t
2
dt
2
p
H
ð
x
Þ
¼
p
ð
3
:
25
Þ
0
We have
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