To analyze quantum mechanical systems, it is normally necessary to find so-called eigenvalues and eigenvectors or eigenfunctions. This section defines what they are.
A nonzero vector
is called an eigenvector of a matrix
if
is a multiple of the same vector:
| (1.13) |
A nonzero function
is called an eigenfunction of an operator
if
is a multiple of the same function:
| (1.14) |
However, eigenfunctions like
are not very common in quantum
mechanics since they become very large at large
, and that
typically does not describe physical situations. The eigenfunctions
of
that do appear a lot are of the form
,
where
and
is an arbitrary real number. The
eigenvalue is
:
Key Points
![]()
- If a matrix turns a nonzero vector into a multiple of that vector, that vector is an eigenvector of the matrix, and the multiple is the eigenvalue.
![]()
- If an operator turns a nonzero function into a multiple of that function, that function is an eigenfunction of the operator, and the multiple is the eigenvalue.
1.5 Review Questions
- 1
- Show that
, above, is also an eigenfunction of
, but with eigenvalue
. In fact, it is easy to see that the square of any operator has the same eigenfunctions, but with the square eigenvalues. Answer
- 2
- Show that any function of the form
and any function of the form
, where
is a constant called the wave number, is an eigenfunction of the operator
, though they are not eigenfunctions of
Answer
- 3
- Show that
and
, with
a constant, are eigenfunctions of the inversion operator
, which turns any function
into
, and find the eigenvalues. Answer