Function of an Operator
Consider the power
series expansion of a arbitrary analytic function F
The power series
is assumed to converge within a given domain of the argument, i.e. the function is assumed
to be analytic on a finite interval. The definition of a function of an operator F is
given in terms on the coefficients, fn. That is to say that the function, F, of an
operator,
, is defined as

This series will
have an interval of convergence that will depend on the eigenvalues of
. Note that if F(z) is a real function then
all fn are real. Also readily seen from Eq. (2) is
that if
is an Hermitian operator then F(
) is also an Hermitian operator. As an example
consider the function ez. This function can be expressed as a power
series by using the MacClaurin series defined as

For the present
case of ez is rather simple since the coefficients are
readily found since Fn (z) = ez so Fn (0) =1. The series becomes

To find the
function of the operator simply put in the operator
where z
belongs. I.e.

As another example
well use F(z) = z1/2. That is to say we want to find the square
root of the operator. However this time we cant use a MacClaurin series since Fn (0) is undefined. We therefore turn to the
Taylor series

a is an arbitrary number and as such we are free to choose it in any way we see fit so we choose it so that he power series is the simplest. With this choice the Taylor series is
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The square root of
an operator is then
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As a concrete
example consider the following operator

Let
be
an eigenvector of the linear operator
with eigenvalue value a. Then
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If
is applied n times then we will get

If we wish to find
the eigenvalues of
then we substitute the
power series expansion of the operator function as given in Eq. (2) and then simplify

is an
eigenvector of
with
the eigenvalue a. then
is also
an eigenvector of F(
) with
the eigenvalue F(a).
Let
be an eigenket of the Hamiltonian. Then
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Now we wish to
find the eigenvalues, Qn of the operator
where
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This is in the
form of Eq. (5) if we set
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Substituting the
Eq. (15) into Eq. (5) we get

Multiplying Eq.
(16) with
from the right gives

Therefore the
eigenvalues of
are
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