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:
(2.13) |
A nonzero function is called an eigenfunction of an operator if
is a multiple of the same function:
(2.14) |
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 :
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.
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.
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 .
Show that and , with a constant, are eigenfunctions of the inversion operator , which turns any function into , and find the eigenvalues.