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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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