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Representations of Quantum States/Hermitian Inner Product

As we have seen, is sufficient to compute the distributions for position and momentum through (3), (13) and (14) and thus is sufficient to specify or represent the quantum state of a system where x and p are the only basic observables. However, through (12) and (13) we see that and provide equivalent information and so either is an equally valid way of representing the state . If we wish, we can, in principle, compute all of our physical quantities using in the position representation, or using in the momentum representation and get equally valid results.

We have already seen an example of this in Parseval's Theorem. We may compute the Hermitian Inner product between two states and , either in the position or momentum representation and get the same result

Because this quantity is the same regardless of which representation we choose, it depends only on the states and and we thus give it a special symbol independent of the choice of representation to remind us of this fact

When we write it is clear what is meant. To evaluate it, the reader is responsible for picking a convenient representation of his own choosing and then performing the appropriate integration in (15).

The Hermitian Inner product integral itself has many interesting mathematical properties and so it is useful to have a notation for it as well. We shall write

and

So that just means form the product of the two functions and integrate over their argument. (15) then is written compactly as

We note that the mathematical structure of the Hermitian Inner product (16) as a sum over the product of values taken from two ``lists'' is very similar to that of the dot product between two vectors . It is therefore not surprising that they share many properties. The most important of these (whose proof we defer to problem set 6) is the Cauchy-Schwartz inequality. For vectors we have

For the Hermitian Inner product, you will prove



next up previous
Next: About this document Up: Principle of Superposition Previous: Parseval's Theorem: Fourier



Prof. Tomas Alberto Arias
Wed Oct 11 21:10:55 EDT 1995