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Orthogonal sets in vector spaces, their properties, and the orthogonal projection of a vector onto a subspace. It includes theorems, examples, and a geometric picture of the process.
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Let
For which value of
k^
is
the vector
u
orthogonal to the vector
v
6.2 Orthogonal Sets A set of vectors
in^
is called an
orthogonal set
if^
whenever
Theorem.
Suppose
is an
orthogonal set of nonzero vectors in
and
Then
is a linearly
independent set and is therefore a basis for Example.
is an
orthogonal basis for
An Orthogonal ProjectionProblem
: For a fixed nonzero vector
in
write
in^
as:
where
is a scalar,is a vector orthogonal to
5
An Orthogonal Projection For a given nonzero vector
in^
we can
decompose
in^
as:
where
(orthogonal projection of
onto
)
(component of
orthogonal to
)
Orthonormal Sets A set of vectors
in^
is called an
orthonormal set
if it is an orthogonal set and for all
If^
then
is an
orthonormal basis
for
Example.
is an
orthogonal basis for
3. An orthonormal basis is
is called a
unit vector
if
Suppose
where
is an orthonormal set.Then It can also be shown that
So
Such a matrix is called an
orthogonal matrix
Theorem
. An
mxn
matrix
has orthonormal columns
if and only if
Theorem.
Let
be an
mxn
matrix with orthonormal
columns, and let
x
and
y
be in
n. Then
13
Theorem. (The Orthogonal Decomposition Theorem
Let
be a subspace of
n^.^
Then each
y
in
n^ can be
uniquely represented in the formwhere
is in
and
is in
In fact, if
is any orthogonal basis for
then and
14
Theorem. (The Orthogonal Decomposition Theorem
Let
be a subspace of
n^.^
Then each
y
in
n^ can be
uniquely represented in the formwhere
is in
and
is in
In fact, if
is any orthogonal basis for
then andThe vector
is called the
orthogonal projection of
y onto W.
Geometric Picture
Let
Find the
orthogonal projection of
y onto
Example.
Find the closest point to
in
where Solution.