The whole formalism of Fourier transformation can be applied in identical
form both to the dimensionless field and to the dimensionfull
field
, as well as to any other quantity of the theory that is a
function of position on the lattice, whatever the boundary conditions may
be. In fact, the transformation to momentum space is a fundamental
operation, not only in the classical theory but in the quantum theory as
well, because, as we shall see in more detail later, it corresponds to a
transformation from a representation in terms of point-like quantities,
whose quantum expectation values cannot be observed directly, to a
representation in terms of extended quantities, whole expectation values
are associated in a more direct way to the quantities that are in fact
physically observable.
Any operation that is linear on the fields and that involves an integration (in the continuum case) or sum (in the discrete case) over the whole lattice, as is the case for the Fourier transforms, may be understood as a matrix multiplication operation on a vector. This is true both for periodical and for fixed boundary conditions. The Fourier transformation itself, for periodical boundary conditions, which is given by
may be written as a matrix operation so long as we represent the
positions of the sites by means of the index
, as
discussed in section 2.4, at the same time that we exchange the
integer coordinates
of momentum space for another index
defined in an analogous way. Once we have “piled up” in this
way both the
and the
coordinates into indices of
vectors of dimension
, we may write the transformation as
where we will usually omit the explicit sum as we did here, hence
adopting the summation convention for the matrix products. The equation
above represents the matrix product of the matrix of
components
by the vector
of components
, resulting in another vector
of components
. In this language the Fourier transform of the field
is an
-vector
that may be
written in matrix notation as
.
From the point of view of configuration space, Fourier transformation is
a simple change of basis in a vector space. We may consider the set of
vectors
, which are equal to
at a
particular site in position space and to
at all the others, as a
basis of the space of configurations, since any configuration
may be written as a linear combination of these basis versors. In the
same way, the set of
vectors
, which
are equal to
at a particular mode in momentum space and to
at all
the others, also form a basis of the same space. This is so because,
since the Fourier transformation exists for any configuration, is linear
and invertible, any configuration may also be written as a linear
combination of this other set of basis versors.
This represents in fact a simple decomposition of the configuration in
terms of normal modes of oscillation in momentum space. The
transformation of basis is represented by the matrix
,
with the sites of coordinates
represented by the index
and the modes of coordinates
by the corresponding index
. In the case of periodical boundary conditions, according to the
normalization convention defined before, this matrix is given by
It is easy to represent this explicitly in one dimension, where the index
is simply the site coordinate
and the index
the momentum coordinate
. In this case we simply get
Up to the normalization convention adopted, in any dimension the
Fourier transformation is an unitary transformation and one can check
that the transformation matrix is unitary, with a constant determinant,
independent of the fields. In other words we have that
up to the normalization
convention. For the normalization that we adopt here we have in fact
and one can check
(problem 2.9.2) that
where
is the unit matrix. Again,
this is just a consequence of the orthogonality and completeness
relations satisfied by the mode functions. One can get the transformation
to become truly unitary with the normalization
As we shall see later on, in the quantum theory it will be necessary to consider the determinant of this transformation. Since the transformation is linear its determinant is a constant, in the sense that it does not depend on the fields. One can easily show in the one-dimensional case (problem 2.9.3) that, with our usual normalization, we have
while for the inverse transformation we have
, naturally. For larger
dimensions the calculation is more complex but the result still has the
all-important property that it does not depend on the fields.