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:
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(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
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- 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.
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- 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.
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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.
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Show that and , with a constant, are eigenfunctions of the inversion operator , which turns any function into , and find the eigenvalues.
Solution eigvals-c