Fermions and the Jordan-Wigner transform IV: Diagonalizing Fermi Quadratic Hamiltonians
I’ve finally had a chance to get back to Fermions. Today’s post explains how to diagonalize a Hamiltonian which is quadratic in operators satisfying the Fermionic CCRs. Remarkably, we’ll do this using only the CCRs: the operators could arise in many different ways physically, but, as we shall see, it is only the CCRs that matter for determining the spectrum! This class of Hamiltonians arises in a lot of realistic physical systems, and we’ll see an explicit example later on, when we show that a particular spin model (the X-Y model) is equivalent to a Fermi quadratic Hamiltonian.
(Unfortunately, there seems to be a bug in WordPress that required me to strip most of the tags denoting emphasis (e.g. bold or italics) out of this post. Weird.)
Note: This post is one in a series describing fermi algebras, and a powerful tool known as the Jordan-Wigner transform, which allows one to move back and forth between describing a system as a collection of qubits, and as a collection of fermions. The posts assume familiarity with elementary quantum mechanics, comfort with elementary linear algebra (but not advanced techniques), and a little familiarity with the basic nomenclature of quantum information science (qubits, the Pauli matrices).
Diagonalizing a Fermi quadratic Hamiltonian
Suppose
satisfy the Fermionic CCRs, and we have a system with Hamiltonian

where
for each value of
. In physical terms, this is the Hamiltonian used to describe a system of free, i.e., non-interacting, Fermions.
Such Hamiltonians are used, for example, in the simplest possible quantum mechanical model of a metal, the Drude-Sommerfeld model, which treats the conduction electrons as free Fermions. Such a model may appear pretty simplistic (especially after we solve it, below), but actually there’s an amazing amount of physics one can get out of such simple models. I won’t dwell on these physical consequences here, but if you’re unfamiliar with the Drude-Sommerfeld theory, you could profitably spend a couple of hours looking at the first couple of chapters in a good book on condensed matter physics, like Ashcroft and Mermin’s “Solid State Physics”, which explains the Drude-Sommerfeld model and its consequences in detail. (Why such a simplistic model does such a great job of describing metals is another long story, which I may come back to in a future post.)
Returning to the abstract Hamiltonian
, the positivity of the operators
implies that
for any state
, and thus the ground state energy of
is non-negative. However, our earlier construction also shows that we can find at least one state
such that
for all
, and thus
. It follows that the ground state energy of
is exactly
.
This result is easily generalized to the case where the
have any sign, with the result that the ground state energy is
, and the ground state
is obtained from
by applying the raising operator
for all
with
. More generally, the allowed energies of the excited states of this system correspond to sums over subsets of the
.
Exercise: Express the excited states of the system in terms of
.
Just by the way, readers with an interest in computational complexity theory may find it interesting to note a connection between the spectrum of
and the Subset-Sum problem from computer science. The Subset-Sum problem is this: given a set of integers
, with repetition allowed, is there a subset of those integers which adds up to a desired target,
? Obviously, the problem of determining whether
has a particular energy is equivalent to the Subset-Sum problem, at least in the case where the
are integers. What is interesting is that the Subset-Sum problem is known to be NP-Complete, in the language of computational complexity theory, and thus is regarded as computationally intractable. As a consequence, we deduce that the problem of determining whether a particular value for energy is in the spectrum of
is in general NP-Hard, i.e., at least as difficult as the NP-Complete problems. Similar results hold for the more general Fermi Hamiltonians considered below. Furthermore, this observation suggests the possibility of an interesting link between the physical problem of estimating the density of states, and classes of problems in computational complexity theory, such as the counting classes (e.g., #P), and also to approximation problems.
Let’s generalize our results about the spectrum of
. Suppose now that we have the Hamiltonian

Taking the adjoint of this equation we see that in order for
to be hermitian, we must have
, i.e., the matrix
whose entries are the
is itself hermitian.
Suppose we introduce new operators
defined by

where
are complex numbers. We are going to try to choose the
so that (1) the operators
satisfy the Fermionic CCRs, and (2) when expressed in terms of the
, the Hamiltonian
takes on the same form as
, and thus can be diagonalized.
We begin by looking for conditions on the complex numbers
such that the
operators satisfy Fermionic CCRs. Computing anticommutators we find

Substituting the CCR
and writing
gives

where
denotes the matrix product of the matrix
with entries
and its adjoint
. To compute
we use the linearity of the anticommutator bracket in each term to express
as a sum over terms of the form
, each of which is
, by the CCRs. As a result, we have:

It follows that provided
, i.e., provided
is unitary, the operators
satisfy the Fermionic CCRs.
Let’s assume that
is unitary, and change our notation, writing
in order to emphasize the unitarity of this matrix. We now have

Using the unitarity of
we can invert this equation to obtain

Substituting this expression and its adjoint into
and doing some simplification gives us

Since
is hermitian, we can choose
so that
is diagonal, with entries
, the eigenvalues of
, giving us

This is of the same form as
, and thus the ground state energy and excitation energies may be computed in the same way as we described earlier.
What about the ground state of
? Assuming that all the
are non-negative, it turns out that a state
satisfies
for all
if and only if
for all
, and so the ground state for the two sets of Fermi operators is the same.
This follows from a more general observation, namely, that
if and only if
. In one direction, this is trivial: just multiply
on the left by
. In the other direction, we multiply
on the left by
to obtain
. Substituting the CCR
, we obtain

But
, so this simplifies to
, as desired.
Returning to the question of determining the ground state, supposing
for all
, we immediately have
for all
, and thus
for all
, since the
are linear functions of the
, and thus
for all
. This shows that the ground state for the two sets of Fermi operators,
and
, is in fact the same. The excitations for
may be obtained by applying raising operators
to the ground state.
Exercise: Suppose some of the
are negative. Express the ground state of
in terms of the simultaneous eigenstates of the
.
Okay, that’s enough for one day! We’ve learnt how to diagonalize a fairly general class of Hamiltonians quadratic in Fermi operators. In the next post we’ll go further, learning how to cope with additional terms like
and
.

Subscribe to this blog by email
Follow Michael on Twitter
Comments are closed.