A Hilbert Algebra?
Let be a closable, real, densely defined derivation into an
bimodule
. Let
denote the domain of
. We suggest the following involutive algebra structure on the orthogonal (Hilbert space) direct sum
. Let
denote the product, and
the involution, where
is assumed to be an antiunitary involution on
that replaces the bimodule structure with its opposite:
.
From Wikipedia, we have the following definition of Hilbert algebra:
A Hilbert algebra is an algebra with involution
and an inner product
such that
1) for
;
2) left multiplication by a fixed a in is a bounded operator;
3) is the adjoint, in other words
;
4) the linear span of all products is dense in
.
Let’s explicitly see where our algebra fails these axioms. The involution is antiunitary on
, and the usual involution
on
is antiunitary also, so (1) holds. For (2), we need to worry mostly about the “second entry”…perhaps we’ll need to restrict our attention to “bounded vectors”. Sample computation:
…but the second term is troublesome because the norm on
is the wrong sort. This should be the two-norm. Perhaps if we require
to be a bounded vector, then these operators would be bounded, perhaps, and we’d have (2). The condition (4) is easy to satisfy, since
is the unit element of the algebra we have that the set of products is the entire domain (we’ve taken no closures, yet).
It is easy to see that (3) is the weak point here, in the second coordinate. Let’s record the failure here, though:
but
and this is . Now the first coordinates are orthogonal (we’re freewheeling here, now) and since
can we get this? Looking at this last bit, things don’t quite parse…and we’re left with the Radon-Nikodym business again…so the adjoints don’t work out. Unless, for some mysterious reason, we can get
to be a vector in
! Perhaps this is not so mysterious, as a bounded vector is viewed as a map from
into
, and its adjoint a map the other way. The question is, what’s the domain of the adjoint? (Among the million other questions like…can we use the orthogonality like this?)
The above will not work, because try as we might, never comes into play in the second coordinate…