A bilinear form or a sesquilinear form on an
-dimensional
-vector space
is described, with respect to a given basis, by its Gram matrix. Also, a linear mapping from
to
is described by a matrix. Altogether, we have a correspondence
(for
)
-
On the left-hand side, properties like symmetric, hermitian, positive definite are relevant; on the right-hand side, we have eigenvalues, eigenspaces, characteristic polynomial. How are these two worlds related? In the next lectures we will deal with these questions. For this, we will work with a direct correspondence between the left-hand and the right-hand side which comes from an inner product, not from a fixed basis.
- Adjoint endomorphism
Let
be a
-vector space,
endowed with an
inner product
, and let
-
denate an
endomorphism.
An endomorphism
-
is called
adjoint
to
, if
-

holds for all

.
Let
be a
finite-dimensional
-vector space,
endowed with an
inner product
, and let
-
denote an
endomorphism. Then there exists a uniquely determined
adjoint endomorphism
of

.
Let
-
be given, and let
be fixed. Then, the mapping
-
is a
linear form
on
. Therefore, there exists
(due to
Corollary 38.6
in the real case; for the complex case see
Exercise 41.16
)
a
right gradient
in
(uniquely determined by
and
)
fulfilling
-

We have to show that the assignment
-
is
linear.
We have

As this holds for all
,
we have
-

Moreover,

As this holds for all
,
we get
-


As in the proof of this theorem, we denote the adjoint endomorphism by
. If we denote the assignment that sends a vector
to the linear form
, by
, then we have
-

where
-
is the
dual mapping.
Let
be the orthonormal basis, and let
-

and
-

be the matrices of
and of
with respect to this basis. This means that we have in particular
-

and
-

Due to adjointness, the relation

holds. That is
-

and vice versa.

Let
be a
finite-dimensional
-vector space,
endowed with an
inner product
. Then the
adjoint endomorphism
fulfills the following properties
(here,

denote endomorphisms).
-

-

-

-

Proof

- Self-adjoint endomorphisms
Let
be a
-vector space,
endowed with an
inner product,
and let
-
be an
endomorphism.
Then
is called
self-adjoint
if
-

holds for all

.
This property simply means
-

A homothety is self-djoint if and only if the scaling factor is real.
- Let
,
and
.
Because of the invariance of
, we have
.
Therefore,
-

This means that
is orthogonal to
; thus, it belongs to
, and this means the invariance.
- This is only relevant in case
.
Let
be an eigenvalue, and let
be an
eigenvector,
that is,
-

We may assume that this eigenvector is normed. We have
-

therefore,
is real.
- Let
be an eigenvector for the eigenvalue
, and let
be an eigenvector for the eigenvalue
.
Then
-

This is only possible for
-

- We may assume that
,
endowed with the
standard inner product.
In case
,
the statement is known; so suppose that
.
We may consider the mapping also as a mapping from
to
. This map is again self-adjoint, and the characteristic polynomial does not change. Therefore, it splits into linear factors, and the zeroes are real by (2).

The following statement is called Spectral theorem for self-adjoint endomorphisms.
Let
be a
-vector space,
endowed with an
inner product,
and let
-
be a
self-adjoint endomorphism. Then there exists an
orthonormal basis
of
consisting of
eigenvectors
of

.

In particular, a self-adjoint endomorphism is diagonalizable.
- Self-adjoint endomorphisms and hermitian forms
Let
be a
-vector space,
endowed with an
inner product.
An endomorphism
-
induces, with the help of the inner product, a form
defined by
-

The following properties hold for this form.
- We have

and

that is, the assignment is linear in the first component, and antilinear in the second component. Therefore,
is a
sesquilinear form.
- The linearity follows from the linearity of the inner product in the first component. In the finite-dimensional case, we have on the left-hand side and on the right-hand side vector spaces of the dimension
; therefore, it is enough to show injectivity. If
is the zero form, then
for all
. In particular,
,
which implies
.
- If
is not bijective, then let
,
.
Then,
is the zero mapping in the second component, and the form is degenerate. To prove the converse, suppose that
is degenerate. Then there exists a vector
,
,
such that
is the zero-mapping. Since an inner product is nondegenerate, this implies
,
and
is not bijective.
- In the self-adjoint case, we have
-

The converse follows from
-

