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approximation order
p
. In addition, we associated with
Φ
a dual basis,
Φ
={
b
,j
:
1
b
,j
,b
,j
=
δ
j,j
,1
≤
j,j
≤
N
. The approximation
≤
j
≤
N
}
, i.e. one has
Φ
is denoted by
order of
p
and we assume
p
≤
p
.
Example 12.1.1
(Piecewise linear wavelets) We define the wavelet functions
ψ
,
k
as
the following piecewise linear functions. Let
h
=
a)
and
c
:=
√
3
/
2
2
−
−
1
(b
−
·
(
2
h
)
−
1
/
2
.For
=
0wehave
N
0
=
1 and
ψ
0
,
1
is the function with value 2
c
0
at
x
=
a
+
h
0
.For
≥
1thewavelet
ψ
,
1
has the values
ψ
,
1
(a
+
h
)
=
2
c
,
ψ
,
1
(a
+
2
h
)
=−
c
and zero at all other nodes. The wavelet
ψ
,
2
has the values
ψ
,
2
(b
−
h
)
c
and zero at all other nodes. The wavelet
ψ
,k
with
1
<k<
2
has the values
ψ
,k
(a
=
2
c
,
ψ
,
2
(b
−
2
h
)
=−
+
(
2
k
−
2
)h
)
=−
c
,
ψ
,k
(a
+
(
2
k
−
1
)h
)
=
2
c
,
ψ
,k
(a
0
,...,
3, these wavelets
are plotted in Fig.
12.1
. The constants
c
are chosen such that the wavelets
ψ
,k
are
normalized in
L
2
(G)
. Note that these biorthogonal wavelets
W
are not orthogonal
on
V
−
1
. But the inner wavelets
ψ
,k
with 1
<k<
2
have two vanishing moments,
+
2
kh
)
=−
c
and zero at all other nodes. For
=
i.e.
ψ
,k
(x)x
n
d
x
=
0for
n
=
0
,
1. The approximation order of
V
is
p
=
2.
Since
V
L
=
span
{
ψ
,k
:
0
≤
≤
L, k
∈∇
}
, we have a unique decomposition
L
L
u
=
u
=
u
,k
ψ
,k
,
=
0
=
0
k
∈∇
∈
H
s
(G)
,0
for any
u
∈
V
L
with
u
∈
W
. Furthermore, any
u
≤
s
≤
p
admits a
representation as an infinite wavelet series,
∞
∞
u
=
u
=
u
,k
ψ
,k
,
(12.1)
=
0
=
0
k
∈∇
which converges in
H
s
(G)
. The coefficients
u
,k
are the so-called wavelet coeffi-
cients of the function
u
.
12.1.1 Wavelet Transformation
For
u
∈
V
L
we want to show how to obtain the multi-scale wavelet coefficients
=
L
=
0
k
∈∇
d
,k
ψ
,k
, from the single-scale coefficients
c
,j
in
d
,k
:=
u
,k
in
u
=
N
L
j
=
u
1
c
,j
b
,j
.
For the wavelets
ψ
,k
as in Example
12.1.1
and hat functions
b
,j
,wehave
1
<k<
2
,
ψ
,k
=−
0
.
5
b
,
2
k
−
2
+
b
,
2
k
−
1
−
0
.
5
b
,
2
k
,
ψ
,
1
=
b
,
1
−
0
.
5
b
,
2
,
ψ
,
2
=−
0
.
5
b
,
2
+
1
+
b
,
2
+
1
1
,
−
2
−
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