dextercioby said:
Hi Bhoba, I understand how you start, but the assumption you start with is that the set of outcomes is countable, which can't be said for the free (Galilean) particle.
Well actually that has a countable basis as well - but that's not the point I am trying to make.
I start with the assumption the physically realizable states have a basis that is not only countable but in fact are from a finite dimensional space - its isomorphic to the space of sequences of finite length.
We consider the space of all such vectors - while each vector is finite the resultant space has an infinitely countable basis. Now for the trick - we consider all the linear operators defined on such a space. That space is also a countably infinite vector space but is much larger than the space its defined on - in fact its isomorphic to the space of all infinite sequences.
The free particle function you are talking about belongs to that space. To see this consider the space of continuously differentiable functions of finite support - the so called test functions from distribution theory. They are dense in the Hilbert space of square integrable functions hence one can find a basis of those functions. Simply consider all the functions that can be formed from a finite sum of this basis. The free particle state is a linear functional defined on such a space by simply taking its integral. BTW this shows that function has a countable basis as well.
In QM, for mathematical convenience we extend the space to include such functions - it includes all sorts of other weird stuff as well like the dreaded Dirac Delta function.
The dual contains the usual Hilbert space being the sequences whose squares are summable.
This is the Gelfland Triple in Rigged Hilbert space language with the Hilbert space stuck in the middle. One takes various subsets of the Hilbert space with nice properties such as say fairly good functions and looks at its dual (its the space of well tempered distributions) which contains much more such as the free particle function since if I remember correctly it is a well tempered distribution.
Terry Tao wrote a nice little article on it:
http://www.math.ucla.edu/~tao/preprints/distribution.pdf
He explains some of the jargon like weak convergence etc I used.
Basically Rigged Hilbert spaces are simply Hilbert spaces with distribution theory stitched on - hence the name rigged - like rigging on a ship.
I am however pretty sure you know that already - I probably wasn't clear initially - so hopefully its clear now.
Thanks
Bill