Quantum Mechanics for Engineers |
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© Leon van Dommelen |
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2.5 Eigenvalue Problems
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:
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(2.13) |
The multiple
is called the eigenvalue. It is just a number.
Figure 2.8:
Illustration
of the eigenfunction concept. Function
is shown in
black. Its first derivative
, shown in red, is not
just a multiple of
. Therefore
is
not an eigenfunction of the first derivative operator.
However, the second derivative of
is 
,
which is shown in green, and that is indeed a multiple of
. So
is an eigenfunction of the second
derivative operator, and with eigenvalue
4.
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A nonzero function
is called an eigenfunction of an operator
if
is a multiple of the same function:
 |
(2.14) |
For example,
is an eigenfunction of the operator

with eigenvalue 1, since 
1
. Another simple example is illustrated in figure
2.8; the function
is not an
eigenfunction of the first derivative operator

. However it is an eigenfunction of the
second derivative operator 
, and with
eigenvalue
4.
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 the
first derivative operator 
that do appear a lot are of
the form
, where
and
is
an arbitrary real number. The eigenvalue is
:
Function
does not blow up at large
; in
particular, the Euler formula (2.5) says:
The constant
is called the “wave number.”
Key Points
- If a matrix turns a nonzero vector into a multiple of that
vector, then 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, then that function is an eigenfunction of the operator,
and the multiple is the eigenvalue.
2.5 Review Questions
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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.
Solution eigvals-a
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2.
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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 
.
Solution eigvals-b
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3.
-
Show that
and
, with
a constant, are eigenfunctions of the inversion operator
, which turns any function
into
, and find the eigenvalues.
Solution eigvals-c