Environmental Engineering Reference
In-Depth Information
2
be an orthonormal basis in V m ,so
ζ j
,
ζ k
=
0for k
=
j and
ζ k
,
ζ k
=
ζ k
=
1
for j
=
k . Then the projection of y into the subspace V m is defined as
m
k = 1 y ,
y
=
Pr
(
y
|
V m
)=
ζ k
ζ k
.
(4.90)
=
It turns out that ε
y
y is orthogonal to subspace V m , i.e. , ε is orthogonal to
any element in V m , ε
V m , in particular to each base ζ k (Figure 4.11).
Projection Theorem. Let ℵ be a Hilbert space and let B mon be an orthonormal basis
for a closed subspace V m
ℵ . Then for y
ℵ the element y for which
y
y
=
ε
is minimum is the projection of y into V m , i.e. [64, 65],
m
k = 1 y ,
y
=
ζ k
ζ k
.
(4.91)
In other words, projection y is the element in V m which best approximates y .
Moreover,
ε
=(
y
y
)⊥
V m
.
(4.92)
If basis B m is not orthonormal, then by a Gram-Schmitt procedure [64] it may
be turned into an orthonormal basis and (4.92) still holds, since the Gram-Schmitt
procedure produces just a particular change of coordinates (Figure 4.11). There is a
clear similarity with the case of Euclidean spaces, which is to be expected since the
axioms for inner products and norms are the same.
Let y
be a basis - not necessarily orthonormal
- for subspace V m ,andlet g be any element in V m so it may be written as a linear
combination of bases ϕ k (Figure 4.11).
Then, the element in V m which best approximates y (in the sense that
ℵ and let B m
= {
ϕ 1
,
ϕ 2
,...,
ϕ m
}
ε
=
y
y
is minimum) is orthogonal to V m :
y
y
,
g
=
0
g
V m
.
(4.93)
In particular, in the case of the basis elements ϕ k ,
y
y
,
ϕ k
=
0
k
=
1
,...,
m
.
(4.94)
=
2. Let y be the projection of y
into the space V 2 spanned by bases ϕ 1 and ϕ 2 ,andlet y a be any other element in V 2 .
Then, by (4.92) εis orthogonal to V 2 and hence to every element in V 2 , in particular
to y
This property is illustrated in Figure 4.12 for m
y a . By the general Pythagoras Theorem
2
2
2
ε a
=
ε
+
y a
y
,
(4.95)
2
2 , i.e. ,
so
ε
ε a
ε
ε a
,and
ε
is minimum with respect to any element
in V 2
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