Function of an Operator

Physics World


Consider the power series expansion of a arbitrary analytic function F

qm14-eq-01.gif (1259 bytes) 

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, a_op.gif (845 bytes), is defined as

qm14-eq-02.gif (1287 bytes)

This series will have an interval of convergence that will depend on the eigenvalues of qm14-x-03.gif (845 bytes). Note that if F(z) is a real function then all fn are real. Also readily seen from Eq. (2) is that if qm14-x-03.gif (845 bytes) is an Hermitian operator then F(qm14-x-03.gif (845 bytes)) 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

qm14-eq-03.gif (1881 bytes)

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

qm14-eq-04.gif (1555 bytes) 

To find the function of the operator simply put in the operator qm14-x-03.gif (845 bytes) where z belongs. I.e.

 qm14-eq-05.gif (1637 bytes) 

As another example we’ll use F(z) = z1/2. That is to say we want to find the square root of the operator. However this time we can’t use a MacClaurin series since Fn (0) is undefined. We therefore turn to the Taylor series

qm14-eq-06.gif (2168 bytes)

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

qm14-eq-07.gif (1643 bytes)

The square root of an operator is then

qm14-eq-08.gif (1763 bytes)

As a concrete example consider the following operator

qm14-eq-09.gif (3346 bytes)


Let qm14-x-04.gif (898 bytes) be an eigenvector of the linear operator qm14-x-03.gif (845 bytes) with eigenvalue value a. Then

qm14-eq-10.gif (1130 bytes)

If qm14-x-03.gif (845 bytes) is applied n times then we will get

qm14-eq-11.gif (3085 bytes)

If we wish to find the eigenvalues of qm14-x-01.gif (1005 bytes) then we substitute the power series expansion of the operator function as given in Eq. (2) and then simplify

qm14-eq-12.gif (3091 bytes)

This demonstrates that the following: If qm14-x-04.gif (898 bytes) is an eigenvector of qm14-x-03.gif (845 bytes) with the eigenvalue a. then qm14-x-04.gif (898 bytes)is also an eigenvector of F(qm14-x-03.gif (845 bytes)) with the eigenvalue F(a).


Let  qm14-x-04.gif (898 bytes) be an eigenket of the Hamiltonian. Then

qm14-eq-13.gif (1142 bytes)

Now we wish to find the eigenvalues, Qn of the operator qm14-x-02.gif (908 bytes) where

qm14-eq-14.gif (1125 bytes) 

This is in the form of Eq. (5) if we set

 qm14-eq-15.gif (1072 bytes)

Substituting the Eq. (15) into Eq. (5) we get

qm14-eq-16.gif (1934 bytes)

Multiplying Eq. (16) with qm14-x-04.gif (898 bytes) from the right gives

qm14-eq-17.gif (3619 bytes)

Therefore the eigenvalues of qm14-x-02.gif (908 bytes) are

qm14-eq-18.gif (1086 bytes)


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