2.1. The Semiheap and Ternary Algebra of a Hilbert Space
Given a vector space, there is no obvious way to multiply two vectors together and obtain another vector in the same space. However, if the vector space comes equipped with an inner product, then we can multiply three vectors together in a canonical way to obtain another vector. For the case at hand, we will restrict attention to (complex) Hilbert spaces as found in quantum mechanics. Typically, the Hilbert spaces in question are isomorphic to , with . We will employ Dirac’s notation throughout this paper. We will denote by both a Hilbert space and its underlying set, the context should be clear. To emphasise the linear structure we will write .
Definition 1. Letbe a Hilbert space, the vector ternary product
is defined as Recall that the norm of a vector is defined as . It is then immediately clear that via the Cauchy–Schwarz inequality.
The following proposition is evident.
Proposition 1. Letbe a Hilbert space. Then the vector ternary product, see Definition 1, is linear with respect to the first and third arguments, and conjugate linear with respect to the second entry, i.e.,for alland.
Thus, the linear structure and the vector ternary product are compatible in the above sense. Moving on to the generalised notion of associativity we have the following theorem.
Theorem 1. The vector ternary product on a Hilbert space,
see Definition 1, satisfies the para-associative lawfor all.
In other words,
is a semiheap. Proof. This follows via direct computation
- (i)
.
- (ii)
.
- (iii)
.
Clearly, (i)=( ii) = (iii). □
Corollary 1. By fixing a vectorwe have an associated binary product,
given by,
i.e., the binary product satisfies If the quantum system under consideration has a non-degenerate ground state (normalised, i.e., ), then we have a canonical associative binary product.
Note that we do not have a heap, and so any associated binary product does not lead to a group structure. Specifically, the Mal’cev identities
are not, in general, satisfied. Explicitly, we see that
Thus, if
is normalised, i.e.,
, then
is
right unitary. That is
Again, assuming that
is normalised,
projects an arbitrary vector onto
. Thus,
Thus, the binary product defined in Corollary 1, defines a semigroup, i.e., a set with an associative binary product. In analogy with the situation for heaps, we refer to this semigroup as the
semigroup retract (with respect to ) of the semiheap
.
Proposition 2. Letandbe non-orthogonal vectors, i.e.,.
Then,is a regular point of the semigroup,
i.e., there exists a vector(pesudoinverse) such that Proof. Setting
provides the required vector. Explicitly,
□
It is clear from the definition of the vector ternary product that
where
is the zero vector. In other words, the zero vector is an absorbing element for the vector ternary product. Thus,
is also an absorbing element in any semigroup
, that is, multiplication of any vector by the zero vector on the left or right, yields the zero vector. Similarly, the semigroup
is a null semigroup, i.e.,
, for all vectors
and
.
From Proposition 1, Theorem 1 and the above discussion we see that a Hilbert space naturally comes with the structure of a ternary algebra in which the ternary product defines a semiheap (see [
7] for further generalities on ternary algebras). Note that we have conjugate linearity in the second argument of the product rather than linearity.
Definition 2. Letbe a Hilbert space. Then the ternary algebradefined via Proposition 1 and Theorem 1 is referred to as the vector ternary algebra.
Example 1. Consider the complex lineand define the inner product asfor arbitrary complex numbersand.
Then the vector ternary product is given byThus, the complex line is a ternary algebra over itself. Example 2. The Hilbert space we consider is finite-dimensional and given by the span of two orthonormal vectors “spin up” and “spin down”The non-zero vector ternary products of the basis elements areAll other vector ternary products are equal to the zero vector.
Note that there are 8 possible vector ternary products to consider. Using the linearity and conjugate linearity one can deduce the vector ternary product for arbitrary vectors (not necessarily normalised). For examplewithand.
Example 3. The orthonormal basis of states for the one-dimensional harmonic oscillator is countably infinite as each basis vector is labelled by(including zero). The Hilbert space here is, of course,.
The vector ternary product can be written in this natural basis (and then using linearity and conjugate linearity to deduce the product of arbitrary vectors) as Remark 1. All quantum systems with a finite or countably infinite number of states, e.g., the hydrogen atom, have a vector ternary product that can easily be expressed in a similar way to the previous example.
Recall that a linear map between Hilbert spaces is said to be bounded if there exists some such that . It is a well-known result that boundedness implies continuity of a linear map and vice versa. A bounded linear isometry is a bounded linear map such that .
Proposition 3. Letandbe Hilbert spaces and letbe a bounded linear isometry. Then φ is morphism of semiheaps Proof. Directly, using
-linearity and the condition that the bounded linear map be an isometry, we observe that
□
Remark 2. If we consider bounded linear maps that are not isometries, then we will not, in general, have a homomorphism of the relevant semiheaps.
As we are considering linear maps, it is clear that bounded linear isometries are also ternary algebra homomorphisms.
Unitary operators, i.e., bounded operators such that , form a group, , and their action on are isometries. In particular, the action is for arbitrary . We then have the following corollary.
Corollary 2. Letbe the group of unitary operators on a Hilbert space. Furthermore, letbe the associated semiheap. Then the action ononis a semiheap isomorphism and so an isomorphism of ternary algebras.
Symmetries in quantum mechanics are usually understood as
projective representations of some group
G. That is, we have a map
such that
, with
, being referred to as the
Schur factor. Associativity implies that
. Assuming that
(as standard) implies that
. One can also deduce that
and
. If
for all
, then we have a
unitary representation. Wigner’s theorem (see [
21]) tells us that symmetries in quantum mechanics act via either projective or unitary representations. We thus, in general, have an “action up to a factor”
given by
.
Corollary 3. Letbe the group of unitary operators on a Hilbert spaceand letbe a projective representation. Furthermore, letbe the associated semiheap. Then, for any, is a semiheap homomorphism and so a homomorphism of ternary algebras.
Remark 3. The dual of a Hilbert space also comes with the canonical structure of a semiheap and ternary algebra by defining. By construction we have. Note that although we can canonically identify a Hilbert space and its dual, we consider them as distinct spaces.
The vector ternary product can be extended to direct sums of Hilbert spaces as follows. Recall that the (orthogonal) direct sum
comes equipped with an inner product given by
Then, the vector ternary product is given by
This construction extends to the orthogonal direct sum of any finite number of Hilbert spaces.
Example 4. In supersymmetric quantum mechanics, the relevant Hilbert space is the (orthogonal) direct sum on the bosonic sectorand the fermionic sector, i.e.,. Of course, being orthogonal implies that linear combinations of bosonic and fermionic states cannot be physically realised. Nonetheless, we can still consider the vector ternary product on the direct sum as the sum of two vector ternary products on each sector.
Remark 4. Note that, as vector spaces,,
and more over, they are isomorphic as metric spaces. Specifically, the induced metric onis given by.
Similarly, onthe standard metric is given by,
where.
However, the associated semiheaps are not identical, and so the associated ternary algebras are distinct. In particular,,
whileConsidering Example 2, and picking the natural representationand,
we see that we are using the natural metric onand its associated semiheap structure. If we used the induced semiheap structure on,
then of the 8 possible ternary products (using the natural basis), the only non-zero ones areand.
In particular, we note that there are at least two natural semiheap structures oninduced by the same underlying metric structure. Similarly, the vector ternary product can be extended to the tensor product of Hilbert spaces. We denote the (completed) tensor product as
. We remark that composite quantum systems are always described via the tensor products of their components. Basic elements of
are pairs which, as standard, we write as
. The inner product (used for the completion) is, on basic elements, given by
which is then extended via linearity. The vector ternary product (on basic elements) is given by
We observe that quite as expected, the vector ternary product on a tensor product of Hilbert spaces is the tensor product of the vector ternary products. This construction then generalises to any finite tensor product of Hilbert spaces.
2.2. Bounded Linear Operators and Their Ternary Algebra
We will denote the ∗-algebra of bounded (so, continuous) operators on by . Following our previous notation, we may also mean by just the set of bounded linear operators, the context should be clear. If we want to consider just the vector space structure then we will write .
Definition 3. Letbe a Hilbert space and letbe the the ∗-algebra of bounded operators on.
The operator ternary product
is defined as Remark 5. We focus on bounded linear operators to avoid mathematical subtleties with taking adjoints and forming algebras under composition.
Remark 6. The ternary product of bounded operators is closely related to the notion of a ternary ring of operators between Hilbert spaces as first introduced by Hestenes [22] and extended to the-
algebra case by Zettl [23]. Proposition 4. The operator ternary product on, see Definition 3,
- 1.
is linear in the first and third arguments, conjugate linear in the second argument, and
- 2.
satisfies the para-associative law, or in other words,is a semiheap.
Proof. Part (1) is clear from the definition. Part (2) follows from a direct calculation. Specifically,
- (i)
,
- (ii)
,
- (iii)
.
Clearly, (i) = (ii) = (iii). □
Definition 4. Letbe the the ∗-algebra of bounded operators on a Hilbert space. Then the ternary algebradefined via Proposition 4 is referred to as the operator ternary algebra.
Example 5. Considering the complex line, it is clear that. Thus, the operator and vector ternary products are identical, see Example 1.
Example 6. Continuing Example 2, as the Hilbert space is isomorphic to,
it is clear that.
To set some notation, we denote the components of a matrix for the standard basis asand the components of the Hermitian conjugate as.
Then the components of the operator ternary product areThe operator ternary product foris of the above from. As mentioned earlier, unitary operators, i.e., bounded operators such that , form a group. Because we have the structure of a group and , we have the following corollary. Alternatively, one needs only check the Mal’cev identities, and in this case, it is obvious they hold.
Corollary 4. The group of unitary operatorson a Hilbert spaceis a heap under the operator ternary product.
As standard, we will denote the commutator of bounded operators as
, for arbitrary
and
. We remind the reader that
, and that we can cast the Jacobi identity into the Jacobi–Leibniz form
Proposition 5. The following identity holds for the operator ternary product on,
see Definition 3,for alland.
We interpret Proposition 5 as a generalised version of the Leibniz rule for the commutator over the ternary product, and this should be compared with (
1). We make the following observation.
Corollary 5. Ifis self-adjoint, i.e.,,
thenis a derivation over the operator ternary product on,
i.e., The unitary group acts on via similarity transformations. That is, is given by , for arbitrary . We then have the following proposition.
Proposition 6. Letbe the semiheap associated with bounded linear operators on a Hilbert space. Then, the action of the unitary grouponis a semiheap homomorphism.
Proof. The proposition is proved via direct calculation. Specifically,
□
Corollary 6. Letbe the group of unitary operators on a Hilbert spaceand letbe a projective representation. Furthermore, letbe the semiheap associated with bounded linear operators. Then, for any, is a semiheap homomorphism and so a homomorphism of ternary algebras.
Note that and so the operator ternary product is well-behaved with respect to taking adjoints. We denote the set of bounded self-adjoint operators, so the bounded observables, as . Two operators A and are said to be compatible bounded observables if they commute, i.e., . A compatible set of bounded observables is a subset of such that all elements are pairwise compatible, that is, they pairwise commute. Naturally, a sub-semiheap of a semiheap is a subset that is closed with respect to the semiheap operation.
Proposition 7. Letbe the set of bounded observables on a Hilbert space. Then any compatible set of bounded observables is closed with respect to the operator ternary product. In other words, any set of compatible bounded observables forms a sub-semiheap of.
Proof. Consider three arbitrary (not necessarily distinct) bounded observables
and
. Then directly
Upon the assumption these bounded observables pairwise commute we see that
and so
as required. □
2.3. Distributivity of Operators and Derivations
From the definition of the vector ternary product on a Hilbert space
, see Definition 1, we have the following “distributive law”,
for all
and
, and all
. The following was first, to our knowledge, uncovered by Kerner [
5]. Let us suppose the Hilbert space in question is finite or countable infinite. Furthermore, let us fix an orthonormal basis
. With respect to this fixed basis, any vector and operator can be written as
Then, combining the two above expressions
By employing semiheaps and para-associative ternary algebras, we have a unification scheme in which vectors (states) and operators (observables) are treated as the same. It is linear combinations of triplets of vectors that are central to the theory rather than separately vectors and operators.
The distributivity law (
2) can be written in the form of a generalised Leibniz rule, and this should directly be compared with Proposition 5.
Proposition 8. Letbe a Hilbert space and letbe the associated vector ternary product. Then any bounded linear operatorsatisfies a generalised ternary Leibniz rulefor alland.
Proof. In light of (
2), we require that
. However, this is the case for any bounded operator
A as, directly from Definition 3,
□
Definition 5. Letbe a Hilbert space and letbe its associated vector ternary product. A bounded linear operatoris said to be a derivation of the vector ternary product
on if it satisfies the ternary Leibniz rulefor all and .
There is a one-to-one correspondence between anti-self-adjoint and self-adjoint operators given by multiplication by
. Specifically, if
A is anti-self-adjoint, then
is self-adjoint, i.e.,
. Conversely, if
B is self-adjoint, then
is anti-self-adjoint, i.e.,
. The following proposition appears in ([
5] Section 6).
Proposition 9. There is a one-to-one correspondence between the set of derivations of the vector ternary product onand the set of bounded observables.
Proof. In light of (
2), it is clear that
if a bounded linear operator is a derivation. Thus, as the vectors in
are arbitrary,
. That is,
D must be anti-self-adjoint. We can always find a unique self-adjoint operator
such that
. Conversely, any self-adjoint operator
A corresponds to an anti-self-adjoint operator
. □
Proposition 10. Derivations of the vector ternary product on a Hilbert spaceare closed under the commutator.
Proof. If and are anti-self-adjoint operators, then , i.e., the commutator is also anti-self-adjoint. □
It is clear that the linear combination is also anti-self-adjoint for a and . Note, rather obviously, this is not the case for linear combinations with complex coefficients with non-zero imaginary parts. We then have the following observation.
Corollary 7. Derivations of the vector ternary product on a Hilbert spaceform a real Lie algebra with respect to the commutator bracket.