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Astron. Astrophys. 344, 27-35 (1999)
4. The renormalization group equations
The starting point for the subsequent analysis is the KPZ equation
for the velocity potential, eq. (13). Because this is a nonlinear
equation, and because there are fluctuations, as represented by the
stochastic noise term, it is to be expected on general grounds that
renormalization effects will modify the coefficients appearing in this
equation. Due to the existence of fluctuations, the coefficients in
Eq. (13) do not remain constant with
scale: as is well known (Ma 1976; Amit 1984; Binney 1992) there are
renormalization effects that take place and modify these coefficients
(or "coupling" constants); the modifications are calculable and can be
computed using dynamical renormalization group (DynRG) techniques. The
renormalization group is a standard tool developed for revealing in a
systematic way, how couplings change with scale in any physical system
under the action of (coarse)-graining. Moreover, it predicts that all
correlation functions go as power laws when the system is near a
fixed, or critical point, i.e., they exhibit self-similar behavior.
However, the value of the scaling exponent changes from one fixed
point to another. In fact, the values for the couplings at some
reference scale establish the fixed point to which the system will be
attracted to or repelled from, because these reference values will
belong to a specific "basin of attraction". We will look for the
IR stable fixed points since these reflect the system behavior
characteristic of long times and large distances and ceases to change
as we look at the system at ever larger scales.
Indeed, even before fluctuations are accounted for, one can easily
obtain the so-called canonical scaling laws for the parameters
appearing in (13); these follow by performing the simultaneous scaling
transformation ,
and
and requiring the resultant equation
to be form-invariant , that is, that the KPZ equation
transforms to a KPZ equation at the new, larger
( ) length and time scale. This simple
requirement leads to scale dependence in the parameters appearing in
the original equation of motion as well as in the correlation
functions built up from the KPZ field
. When fluctuations and noise are
"turned on", renormalization effects change the scaling behavior of
the couplings and correlation functions away from their canonical
forms, in a way which depends on the basins of attraction for the
fixed points of the DynRG equations of the couplings.
4.1. Calculation of the RGEs
The RG transformation consists of an averaging over modes with
momenta k in the range where
is the scale factor for the
transformation, followed by a dilatation of the length scale
in order to bring the system back to
its original
size 2. Here,
plays the rôle of an
UV-momentum, or short distance, cut-off characterizing the smallest
resolvable detail whose physics is to be described by the dynamical
equations. In classical hydrodynamics, this scale would be identified
with the scale in the fluid at and below which the molecular
granularity of the medium becomes manifest and the hydrodynamic limit
breaks down. The renormalization group transformation has the
important property that it becomes an exact symmetry of the
physical system under study whenever that system approaches or is near
a critical point, because it is near the critical point (or points)
where the system exhibits scale-invariance or, equivalently, where the
system can be described in terms of a conformal field theory. The
hallmark for a system near criticality is that its correlation
functions display power law behavior. This means that the statistical
properties of the system remain the same, except possibly up to a
global dilatation or change of unit of length. We can calculate the
power law exponents by requiring that the dynamical equations remain
invariant under the above RG transformation and under the further
change of scale
![[EQUATION]](img64.gif)
where z and are numbers
which account for the response to the re-scaling. By eliminating
s from the above, we arrive at the fact that the two-point
correlation function for the velocity potential scales as
![[EQUATION]](img66.gif)
where is the roughness exponent,
z the dynamical exponent, and the scaling function
has the following asymptotic
behavior (see, e.g., Barabàsi & Stanley 1995):
![[EQUATION]](img68.gif)
![[EQUATION]](img69.gif)
Notice that because of eq. (18), large s means going to the
large distance or infrared (IR) and (for
) long time limit, while small
s corresponds to the short distance or ultraviolet (UV) and
short time limit.
Making use of the relations Eq. (14) and Eq. (10), one can
immediately obtain the scaling behavior of the 2-point correlation
function for the density contrast, and thus study the asymptotic
behavior of this function in different regimes. In the following we
will implement this procedure. First, we obtain the scaling or RG
equations for the couplings by imposing form-invariance on the
Eq. (6), then by using the property of constancy of the couplings near
fixed points, we obtain and calculate the fixed points themselves and
the corresponding values of the exponents.
We now characterize the Gaussian noise,
. This is done by choosing the noise
correlation function. Here we will use colored or correlated noise,
whose Fourier transform satisfies
![[EQUATION]](img72.gif)
where and
are two couplings describing the
noise strength, and the ,
exponents characterize the noise
power spectrum in the momentum and frequency domains. White noise
corresponds to . The explicit
functional form of the noise amplitude
reflects the fact that correlated
noise has power law singularities of the form written above (Medina el
al. 1989).
The solution of (13) can be carried out in Fourier space where
iterative and diagrammatic techniques may be developed (Medina et al.
1989). A standard perturbative expansion of the solution to Eq. (13)
coupled with the requirement of form-invariance and the property of
renormalizability, lead to the following RG equations for the
couplings:
![[EQUATION]](img79.gif)
The full details of the calculation of these equations will be
presented elsewhere (Martín-García &
Pérez-Mercader 1998). The calculation of the RGE's for the
massless KPZ equation in the presence of colored noise is given
in (Medina et al. 1989). Here, s is the scale factor of
Eq. (18), and is a dimensionless
geometric factor proportional to the surface area of the
d-sphere , where d is
the spatial dimension. This set of equations describes how the
coupling constants evolve as one
varies the scale at which the system is studied, a process commonly
referred to in the condensed matter literature as "graining". In the
present context we will be interested in the coarse-graining behavior,
since we seek to uncover the behavior of our cosmological fluid as one
goes to larger and larger scales. In actual practice we will
investigate the coarse-graining flow in a two-dimensional (white
noise) or three-dimensional (correlated noise) parameter space. This
is because one may cast the above set of RG equations in terms of a
smaller, yet equivalent set, by employing the dimensionless couplings
defined as ,
, and
. Doing so, one arrives at the
following reduced set of renormalization group equations:
![[EQUATION]](img86.gif)
The dimensionless couplings
measure the strength of the "roughening" effect due to the combined
action of noise and the non-linearity against the "smoothing" tendency
of the diffusive term in Eq. (13): these couplings grow when either
or the noise intensity (as given by
the parameters and
) grow, and they become smaller when
the diffusive action (measured by )
grows. The dimensionless coupling V measures the competition
between the diffusion and mass terms. Indeed, neglecting for the
moment the noise and nonlinear terms, one can write (13) in Fourier
space as
![[EQUATION]](img88.gif)
Now, if (i.e.,
), the perturbations in the field
are damped. But if on the other
hand,
( ), there exists a length scale
below which the perturbations are
damped, but above which they grow. The case
corresponds to a length scale
: this scale is smaller than
the minimum resolvable length scale in the problem at hand, and
therefore the diffusive term becomes unimportant. We remark in passing
that the limiting behavior in the RG flow as
leads to a technical requirement:
one must assume that the diffusive term is non-negligible (i.e.,
) in order to compute the RG
equations.
From the above equations one calculates their fixed points to which
the graining flow drives the couplings. The corresponding fixed point
exponents z and follow from
substituting the fixed point solutions so obtained back into the
previous set of RG equations (23). These exponents control and
determine the calculated asymptotic behavior of the correlation
functions. The system will be attracted to fixed points in the IR or
UV regimes depending on whether they are IR-attractive or
UV-attractive although, as with any autonomous set of differential
equations, other possibilities exist.
© European Southern Observatory (ESO) 1999
Online publication: March 10, 1999
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